NASA Prediction of Worldwide Energy Resources (POWER)

agricultureair qualityanalyticsarchivesatmosphereclimateclimate modeldata assimilationdeep learningearth observationenergyenvironmentalforecastgeosciencegeospatialglobalhistoryimagingindustrymachine learningmachine translationmetadatameteorologicalmodelnetcdfopendapradiationsatellite imagerysolarstatisticssustainabilitytime series forecastingwaterweatherzarr

NASA's goal in Earth science is to observe, understand, and model the Earth system to discover how it is changing, to better predict change, and to understand the consequences for life on Earth. The Applied Sciences Program, within the Earth Science Division of the NASA Science Mission Directorate, serves individuals and organizations around the globe by expanding and accelerating societal and economic benefits derived from Earth science, information, and technology research and development.

The Prediction Of Worldwide Energy Resources (POWER) Project, funded through the Applied Sciences Program at ...

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Usage examples

• Application of Satellite Sensor Data and Models for Energy Management by Zell, E., J. Engel-Cox, R. Eckman, and P. Stackhouse
• Enhancing Climate Resilience at NASA Centers: A Collaboration between Science and Stewardship by Rosenzweig, C., and Coauthors
• About the Prediction Of Worldwide Energy Resources (POWER) Project ArcGIS StoryMap. by The POWER Project
• Accessing and Subsetting POWER data, from AWS S3 using Python. by The POWER Project
• The Contribution of Solar Brightening to the US Maize Yield Trend by Tollenaar, T., J. Fridgen, P. Tyagi, P. W. Stackhouse Jr., and S. Kumudini

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MERRA-2 tavg1_2d_slv_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Single-Level Diagnostics 0.625 x 0.5 degree

agricultureair temperatureatmospherebiodiversityclimatecoastaldatacenterecosystemsglobalhydrologyicelandmetadatanetcdfoceansopendapwater

M2T1NXSLV (or tavg1_2d_slv_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of meteorology diagnostics at popularly used vertical levels, such as air temperature at 2-meter (or at 10-meter, 850hPa, 500 hPa, 250hPa), wind components at 50-meter (or at 2-meter, 10-meter, 850 hPa, 500hPa, 250 hPa), sea level pressure, surface pressure, and total precipitable water vapor (or ice water, liquid water). The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC.MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) us...

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Usage examples

• Land Surface Precipitation in MERRA-2. by Reichle, R.H., Q. Liu, R.D. Koster, C.S. Draper, S.P.P. Mahanama, and G.S. Partyka
• The MERRA-2 aerosol reanalysis, 1980 onward. Part II: Evaluation and case studies. by Buchard V., C. A. Randles, A. M. da Silva, A. Darmenov, P. R. Colarco, R. Govindaraju, R. Ferrare, J. Hair, A. J. Beyersdorf, L. D. Ziemba, H. Yu
• How to Access GES DISC Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.
• Development of the GEOS-5 atmospheric general circulation model: evolution from MERRA to MERRA2. by Molod, A., L. Takacs, M. Suarez, and J. Bacmeister
• Three-dimensional variational analysis with spatially inhomogeneous covariances by Wu, W.-S., R.J. Purser and D.F. Parrish

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MERRA-2 inst3_3d_aer_Nv: 3d,3-Hourly,Instantaneous,Model-Level,Assimilation,Aerosol Mixing Ratio 0.625 x 0.5 degree

agricultureair qualityatmospherebiodiversitycarbonclimatecoastaldatacenterecosystemsglobalhydrologyicelandmetadatanetcdfopendapwater

M2I3NVAER (or inst3_3d_aer_Nv) is an instantaneous 3-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of aerosol mixing ratio parameters at 72 model layers, such as dust, sulphur dioxide, sea salt, black carbon, and organic carbon. The data field is available every three hour starting from 00:00 UTC, e.g.: 00:00, 03:00, … , 21:00 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by N...

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Usage examples

• A catchment-based approach to modeling land surface processes in a GCM, Part 1, Model Structure by Koster, R. D., M. J. Suarez, A. Ducharne, M. Stieglitz, and P. Kumar
• Land Surface Precipitation in MERRA-2. by Reichle, R.H., Q. Liu, R.D. Koster, C.S. Draper, S.P.P. Mahanama, and G.S. Partyka
• Numerical aspects of the application of recursive filters to variational statistical analysis. Part I: Spatially homogeneous and isotropic Gaussian covariances by Purser, R. J., W.-S. Wu, D. F. Parrish, and N. M. Roberts
• How to Access GES DISC Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.
• Assessment of MERRA-2 Land Surface Hydrology Estimates. by Reichle, R. H., C. S. Draper, Q. Liu, M. Girotto, S. P. P. Mahanama, R. D. Koster, and G. J. M. De Lannoy

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MERRA-2 inst3_3d_asm_Np: 3d,3-Hourly,Instantaneous,Pressure-Level,Assimilation,Assimilated Meteorological Fields

agricultureair temperatureatmospherebiodiversityclimatecoastaldatacenterecosystemsglobalhydrologyicelandmetadatanetcdfopendapwater

M2I3NPASM (or inst3_3d_asm_Np) is an instantaneous 3-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological parameters at 42 pressure levels, such as temperature, wind components, vertical pressure velocity, water vapor, ozone mass mixing ratio, and layer height. The data field is available every three hours starting from 00:00 UTC, e.g.: 00:00, 03:00, … , 21:00 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observin...

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Usage examples

• 2015b: MERRA-2: Initial Evaluation of the Climate by Bosilovich, M. G., S. Akella, L. Coy, R. Cullather, C. Draper, R. Gelaro, R. Kovach, Q.Liu, A. Molod, P. Norris, K. Wargan, W. Chao, R. Reichle, L. Takacs, Y. Vikhliaev, S. Bloom, A. Collow, S. Firth, G. Labow, G. Partyka, S. Pawson, O. Reale, S. D. Schubert, and M. Suarez
• Development of the GEOS-5 atmospheric general circulation model: evolution from MERRA to MERRA2. by Molod, A., L. Takacs, M. Suarez, and J. Bacmeister
• Three-dimensional variational analysis with spatially inhomogeneous covariances by Wu, W.-S., R.J. Purser and D.F. Parrish
• Numerical aspects of the application of recursive filters to variational statistical analysis. Part I: Spatially homogeneous and isotropic Gaussian covariances by Purser, R. J., W.-S. Wu, D. F. Parrish, and N. M. Roberts
• The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2). by Gelaro, R., W. McCarty, M. J. Suárez, R. Todling, A. Molod, L. Takacs, C. A. Randles, A. Darmenov, M. G. Bosilovich, R. Reichle, et al.

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MERRA-2 inst3_3d_asm_Nv: 3d,3-Hourly,Instantaneous,Model-Level,Assimilation,Assimilated Meteorological Fields 0.625 x 0.5 degree

agricultureair temperatureatmospherebiodiversityclimatecoastaldatacenterecosystemsglobalhydrologyicelandmetadatanetcdfopendapwater

M2I3NVASM (or inst3_3d_asm_Nv) is an instantaneous 3-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological parameters at 72 model layers, such as temperature, wind components, vertical pressure velocity, water vapor, and layer height. The data field is available every three hour starting from 00:00 UTC, e.g.: 00:00, 03:00, … , 21:00 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite...

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Usage examples

• Land Surface Precipitation in MERRA-2. by Reichle, R.H., Q. Liu, R.D. Koster, C.S. Draper, S.P.P. Mahanama, and G.S. Partyka
• Numerical aspects of the application of recursive filters to variational statistical analysis. Part I: Spatially homogeneous and isotropic Gaussian covariances by Purser, R. J., W.-S. Wu, D. F. Parrish, and N. M. Roberts
• The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part I: System Description and Data Assimilation Evaluation. by Randles, C. A., A. M. da Silva, V. Buchard, P. R. Colarco, A. Darmenov, R. Govindaraju, A. Smirnov, B. Holben, R. Ferrare, J. Hair, Y.Shinozuka, and C.J. Flynn
• Assessment of MERRA-2 Land Surface Hydrology Estimates. by Reichle, R. H., C. S. Draper, Q. Liu, M. Girotto, S. P. P. Mahanama, R. D. Koster, and G. J. M. De Lannoy
• Data assimilation using incremental analysis updates by Bloom, S., L. Takacs, A. DaSilva, and D. Ledvina

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Multi-Scale Ultra High Resolution (MUR) Sea Surface Temperature (SST)

climateearth observationenvironmentalnatural resourceoceanssatellite imagerywaterweather

A global, gap-free, gridded, daily 1 km Sea Surface Temperature (SST) dataset created by merging multiple Level-2 satellite SST datasets. Those input datasets include the NASA Advanced Microwave Scanning Radiometer-EOS (AMSR-E), the JAXA Advanced Microwave Scanning Radiometer 2 (AMSR-2) on GCOM-W1, the Moderate Resolution Imaging Spectroradiometers (MODIS) on the NASA Aqua and Terra platforms, the US Navy microwave WindSat radiometer, the Advanced Very High Resolution Radiometer (AVHRR) on several NOAA satellites, and in situ SST observations from the NOAA iQuam project. Data are available fro...

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Usage examples

• THREDDS server by PO.DAAC
• A multi-scale high-resolution analysis of global sea surface temperature by Chin, Toshio Michael, Jorge Vazquez-Cuervo, and Edward M. Armstrong
• Improving our knowledge about the oceans by providing cloud-based access to large datasets by Chelle Gentemann
• OPeNDAP server by Physical Oceanography Distributed Active Archive Center (PO.DAAC)
• Python Reader Software by PO.DAAC

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Catalina Sky Survey (CSS) subset data on AWS

astronomyobject detectionplanetarysurvey

Raw data that discovers Near Earth Objects (NEOs) which potentially could impact Earth

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Usage examples

• CATCH (Comet-Asteroid Telescopic Catalog Hub) service: A moving-target search tool for large astronomical data sets, such as time-domain or near-Earth object surveys. by CATCH service is built and operated by the Small Bodies Node of the NASA Planetary Data System group at the University of Maryland.
• Transform Tool by Planetary Data System (PDS) Engineering Node
• PDS4 Viewer by Small Bodies Node of the NASA Planetary Data System group at the University of Maryland.
• FITS image compression programs (fpack & funpack) by Rob Seaman (NOAO), William Pence (NASA/GSFC), Rick White (STScI).
• Catalina Sky Survey Telescopes and Instrumentation by R. Seaman, E. Christensen, A. Gibbs, S. Larson, F. Shelly

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AIRS/Aqua L1C Infrared (IR) resampled and corrected radiances V6.7 (AIRICRAD) at GES DISC

atmosphereclimatedatacenterearth observationglobalhdfmetadataopendaporbit

The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The AIRS Infrared (IR) level 1C data set contains AIRS infrared calibrated and geolocated radiances in W/m2/micron/ster. This data set is generated from AIRS level 1B data. The spectral coverage of L1C data is from 3.74 to 15.4 mm....

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Usage examples

• Radiometric Stability Validation of 17 Years of AIRS Data Using Sea Surface Temperatures. by Aumann, H.H. Brogerg, S.,Manning, E., and Pagaino, T.
• AIRS Level-1C and applications to cross-calibration with MODIS and CrIS by Evan M. Manning, Hartmut H. Aumann, and Ali Behrangi
• AIRS version 6.6 and version 7 level-1C products by Evan M. Manning, L. Larrabee Strow, and Hartmut H. Aumann
• Updates to the absolute radiometric accuracy of the AIRS on Aqua by Pagano, T.S., Aumann, H.H., Broberg, S., Manning, E., Overoye, K., and Weiler, M.
• Validation of the Atmospheric Infrared Sounder radiative transfer algorithm by Strow, L.L, Hannon, S.E, De-Souza Machado, S., Motteler, H.E., and Tobin, D.C.

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Solar Dynamics Observatory (SDO) Machine Learning Dataset

machine learningNASA SMD AI

The v1 dataset includes AIA/HMI observations 2010-2018 and v2 includes AIA/HMI observations 2010-2020 in all 10 wavebands (94A, 131A, 171A, 193A, 211A, 304A, 335A, 1600A, 1700A, 4500A), with 512x512 resolution and 6 minutes cadence; HMI vector magnetic field observations in Bx, By, and Bz components, with 512x512 resolution and 12 minutes cadence; The EVE observations in 39 wavelengths from 2010-05-01 to 2014-05-26, with 10 seconds cadence.

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Usage examples

• ML applications based on the SDOMLv1 dataset by Salvatelli, Valentina; dos Santos, Luiz F. G.; Bose, Souvik; Neuberg, Brad; Cheung, Mark C. M.; Janvier, Miho; Jin, Meng; Gal, Yarin; Boerner, Paul; Baydin, Atılım Güneş
• ML applications based on the SDOMLv2 dataset by Wright, Paul J.
• Scripts for generating the SDOMLv1 dataset by Fouhey, David F.; Jin, Meng
• A Machine-learning Data Set Prepared from the NASA Solar Dynamics Observatory Mission by Galvez, Richard; Fouhey, David F.; Jin, Meng; Szenicer, Alexandre; et al
• SDOMLv2 Github by Wright, Paul J.; Jin, Meng; Cheung, Mark C. M.

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GPM IMERG Early Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V07 (GPM_3IMERGHHE) at GES DISC

atmosphereclimatedatacenterforecastglobalhdfhydrologylandmetadataopendapradarwater

Version 07B is the current version of the IMERG data sets. Older versions will no longer be available and have been superseded by Version 07.The Integrated Multi-satellitE Retrievals for GPM (IMERG) is the unified U.S. algorithm that provides the multi-satellite precipitation product for the U.S. GPM team.The precipitation estimates from the various precipitation-relevant satellite passive microwave (PMW) sensors comprising the GPM constellation are computed using the 2021 version of the Goddard Profiling Algorithm (GPROF2021), then gridded, intercalibrated to the GPM Combined Ku Radar-Radiome...

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Usage examples

• How to Read IMERG Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.
• Kalman Filter Based CMORPH by Joyce, R. J., P. Xie, and J. E. Janowiak
• Precipitation Estimation from Remotely Sensed Imagery Using an Artificial Neural Network Cloud Classification System by Hong, Y., K. L. Hsu, S. Sorooshian, and X. Gao
• Calculation of Gridded Precipitation Data for the Global Land-Surface Using In-Situ Gauge Observations by Rudolf, B., and U. Schneider
• How to Access GES DISC Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.

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GPM IMERG Final Precipitation L3 1 month 0.1 degree x 0.1 degree V07 (GPM_3IMERGM) at GES DISC

atmosphereclimatedatacenterforecastglobalhdfhydrologylandmetadataopendapradarwater

Version 07B is the current version of the IMERG data sets. Older versions will no longer be available and have been superseded by Version 07.The Integrated Multi-satellitE Retrievals for GPM (IMERG) is the unified U.S. algorithm that provides the multi-satellite precipitation product for the U.S. GPM team.The precipitation estimates from the various precipitation-relevant satellite passive microwave (PMW) sensors comprising the GPM constellation are computed using the 2021 version of the Goddard Profiling Algorithm (GPROF2021), then gridded, intercalibrated to the GPM Combined Ku Radar-Radiome...

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Usage examples

• Kalman Filter Based CMORPH by Joyce, R. J., P. Xie, and J. E. Janowiak
• Calculation of Gridded Precipitation Data for the Global Land-Surface Using In-Situ Gauge Observations by Rudolf, B., and U. Schneider
• How to Access GES DISC Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.
• How to Read IMERG Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.
• Precipitation Estimation from Remotely Sensed Imagery Using an Artificial Neural Network Cloud Classification System by Hong, Y., K. L. Hsu, S. Sorooshian, and X. Gao

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GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V07 (GPM_3IMERGHH) at GES DISC

atmosphereclimatedatacenterforecastglobalhdfhydrologylandmetadataopendapradarwater

Version 07B is the current version of the IMERG data sets. Older versions will no longer be available and have been superseded by Version 07.The Integrated Multi-satellitE Retrievals for GPM (IMERG) is the unified U.S. algorithm that provides the multi-satellite precipitation product for the U.S. GPM team.The precipitation estimates from the various precipitation-relevant satellite passive microwave (PMW) sensors comprising the GPM constellation are computed using the 2021 version of the Goddard Profiling Algorithm (GPROF2021), then gridded, intercalibrated to the GPM Combined Ku Radar-Radiome...

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Usage examples

• How to Access GES DISC Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.
• Kalman Filter Based CMORPH by Joyce, R. J., P. Xie, and J. E. Janowiak
• Precipitation Estimation from Remotely Sensed Imagery Using an Artificial Neural Network Cloud Classification System by Hong, Y., K. L. Hsu, S. Sorooshian, and X. Gao
• Calculation of Gridded Precipitation Data for the Global Land-Surface Using In-Situ Gauge Observations by Rudolf, B., and U. Schneider
• How to Read IMERG Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.

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GPM IMERG Late Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V07 (GPM_3IMERGHHL) at GES DISC

atmosphereclimatedatacenterforecastglobalhdfhydrologylandmetadataopendapradarwater

Version 07B is the current version of the IMERG data sets. Older versions will no longer be available and have been superseded by Version 07.\n\nThe Integrated Multi-satellitE Retrievals for GPM (IMERG) is the unified U.S. algorithm that provides the multi-satellite precipitation product for the U.S. GPM team.\n\nThe precipitation estimates from the various precipitation-relevant satellite passive microwave (PMW) sensors comprising the GPM constellation are computed using the 2021 version of the Goddard Profiling Algorithm (GPROF2021), then gridded, intercalibrated to the GPM Combined Ku Radar...

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Usage examples

• How to Access GES DISC Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.
• Calculation of Gridded Precipitation Data for the Global Land-Surface Using In-Situ Gauge Observations by Rudolf, B., and U. Schneider
• How to Read IMERG Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.
• Precipitation Estimation from Remotely Sensed Imagery Using an Artificial Neural Network Cloud Classification System by Hong, Y., K. L. Hsu, S. Sorooshian, and X. Gao
• Kalman Filter Based CMORPH by Joyce, R. J., P. Xie, and J. E. Janowiak

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NASA / USGS Lunar Orbiter Laser Altimeter Cloud Optimized Point Cloud

elevationlidarplanetarystac

The lunar orbiter laser altimeter (LOLA) has collected and released almost 7 billion individual laser altimeter returns from the lunar surface. This dataset includes individual altimetry returns scraped from the Planetary Data System (PDS) LOLA Reduced Data Record (RDR) Query Tool, V2.0. Data are organized in 15˚ x 15˚ (longitude/latitude) sections, compressed and encoded into the Cloud Optimized Point Cloud (COPC) file format, and collected into a Spatio-Temporal Asset Catalog (STAC) collection for query and analysis. The data are in latitude, longitude, and radius (X, Y, Z) format with the p...

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Usage examples

• Discovering and Downloading Data with Python by J. Laura
• Point Data Abstraction Library (PDAL) by PDAL Contributors
• PySTAC Client by PySTAC-Client Contributors
• Querying for Data in an ROI and Loading it into QGIS by J. Laura
• Discovering and Downloading Data via the Command Line by J. Laura

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NASA Earth Exchange (NEX) Data Collection

climateCMIP5natural resourcesustainability

A collection of downscaled climate change projections, derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5) [Taylor et al. 2012] and across the four greenhouse gas emissions scenarios known as Representative Concentration Pathways (RCPs) [Meinshausen et al. 2011]. The NASA Earth Exchange group maintains the NEX-DCP30 (CMIP5), NEX-GDDP (CMIP5), and LOCA (CMIP5).NOTE: The S3 Bucket location for this dataset changed on 5/6/2026

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Usage examples

• Statistical downscaling using Localized Constructed Analogs (LOCA). by Pierce, D. W., D. R. Cayan, and B. L. Thrasher (2014)
• Explainable deep learning for insights in El Nino and river flows by Yumin Liu, Kate Duffy, Jennifer G. Dy, and Auroop R. Ganguly
• Climate Downscaling Using YNet: a Deep Convolutional Network with Skip Connections and Fusion by Yumin Liu, Auroop Ganguly, and Jennifer Dy
• Downscaled Climate Projections Suitable for Resource Management, Eos Trans. AGU, 94(37), 321. by Thrasher, B., J. Xiong, W. Wang, F. Melton, A. Michaelis and R. Nemani (2013)
• Potential changes in cooling degree day under different global warming levels and shared socioeconomic pathways in West Africa by Oluwarotimi Delano Thierry Odou, Heidi Heinrichs Ursula, Rabani Adamou, Thierry Godjo, and Mounkaila S Moussa

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OPERA Dynamic Surface Water Extent from Harmonized Landsat Sentinel-2 product (Version 1)

cogdatacenterearth observationicelandland covermetadatasurface waterwater

This dataset contains Level-3 Dynamic OPERA surface water extent product version 1. The data are validated surface water extent observations beginning April 2023. Known issues and caveats on usage are described under Documentation. The input dataset for generating each product is the Harmonized Landsat-8 and Sentinel-2A/B/C (HLS) product version 2.0. HLS products provide surface reflectance (SR) data from the Operational Land Imager (OLI) aboard the Landsat 8 satellite and the MultiSpectral Instrument (MSI) aboard the Sentinel-2A/B/C satellite. The surface water extent products are distributed ov...

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Usage examples

• Stream and Viz DSWx-HLS via Direct HTTPS by M. Grace Bato
• Working with OPERA Dynamic Surface Water Extent (DSWx) Data by Nicholas Tarpinian
• Getting Started with OPERA DSWx Product by K. Devlin and M. Grace Bato
• Access DSWx-HLS S3 by M. Grace Bato
• Improved Automated Detection of Subpixel-Scale Inundation—Revised Dynamic Surface Water Extent (DSWE) Partial Surface Water Tests by Jones, John W

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Ozone Monitoring Instrument (OMI) / Aura NO2 Tropospheric Column Density

air qualityatmosphereearth observationenvironmentalgeospatialsatellite imagery

NO2 tropospheric column density, screened for CloudFraction < 30% global daily composite at 0.25 degree resolution for the temporal range of 2004 to May 2020. Original archive data in HDF5 has been processed into a Cloud-Optimized GeoTiff (COG) format. Quality Assurance - This data has been validated by the NASA Science Team at Goddard Space Flight Center.Cautionary Note: https://airquality.gsfc.nasa.gov/caution-interpretation.

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Usage examples

• Rasterio (Python Library) for access to geospatial raster data by Mapbox
• COG Application Programming Interface (API) by Development Seed
• Medium Post: COG Talk — Part 1: What’s new? by Vincent Sarago
• COG Viewer by Development Seed
• COG metadata example  by Development Seed

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GPM IMERG Early Precipitation L3 1 day 0.1 degree x 0.1 degree V07 (GPM_3IMERGDE) at GES DISC

atmosphereclimatecoastaldatacenterglobalhydrologylandmetadatanetcdfopendap

Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07.The Integrated Multi-satellitE Retrievals for GPM (IMERG) IMERG is a NASA product estimating global surface precipitation rates at a high resolution of 0.1° every half-hour beginning 2000. It is part of the joint NASA-JAXA Global Precipitation Measurement (GPM) mission, using the GPM Core Observatory satellite as the standard to combine precipitation observations from an international constellation of satellites using advanced techniques. IMERG can be used for globa...

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Usage examples

• Calculation of Gridded Precipitation Data for the Global Land-Surface Using In-Situ Gauge Observations by Rudolf, B., and U. Schneider
• How to Access GES DISC Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.
• Kalman Filter Based CMORPH by Joyce, R. J., P. Xie, and J. E. Janowiak
• Precipitation Estimation from Remotely Sensed Imagery Using an Artificial Neural Network Cloud Classification System by Hong, Y., K. L. Hsu, S. Sorooshian, and X. Gao

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GPM IMERG Final Precipitation L3 1 day 0.1 degree x 0.1 degree V07 (GPM_3IMERGDF) at GES DISC

climatecoastaldatacenterglobalhydrologyicelandmetadatanetcdfopendap

Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07.The Integrated Multi-satellitE Retrievals for GPM (IMERG) IMERG is a NASA product estimating global surface precipitation rates at a high resolution of 0.1° every half-hour beginning 2000. It is part of the joint NASA-JAXA Global Precipitation Measurement (GPM) mission, using the GPM Core Observatory satellite as the standard to combine precipitation observations from an international constellation of satellites using advanced techniques. IMERG can be used for global-scale applic...

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Usage examples

• Kalman Filter Based CMORPH by Joyce, R. J., P. Xie, and J. E. Janowiak
• Precipitation Estimation from Remotely Sensed Imagery Using an Artificial Neural Network Cloud Classification System by Hong, Y., K. L. Hsu, S. Sorooshian, and X. Gao
• Calculation of Gridded Precipitation Data for the Global Land-Surface Using In-Situ Gauge Observations by Rudolf, B., and U. Schneider
• How to Access GES DISC Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.

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GPM IMERG Late Precipitation L3 1 day 0.1 degree x 0.1 degree V07 (GPM_3IMERGDL) at GES DISC

atmosphereclimatecoastaldatacenterglobalhydrologylandmetadatanetcdfopendap

Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07.The Integrated Multi-satellitE Retrievals for GPM (IMERG) IMERG is a NASA product estimating global surface precipitation rates at a high resolution of 0.1° every half-hour beginning 2000. It is part of the joint NASA-JAXA Global Precipitation Measurement (GPM) mission, using the GPM Core Observatory satellite as the standard to combine precipitation observations from an international constellation of satellites using advanced techniques. IMERG can be used for ...

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Usage examples

• Precipitation Estimation from Remotely Sensed Imagery Using an Artificial Neural Network Cloud Classification System by Hong, Y., K. L. Hsu, S. Sorooshian, and X. Gao
• Kalman Filter Based CMORPH by Joyce, R. J., P. Xie, and J. E. Janowiak
• Calculation of Gridded Precipitation Data for the Global Land-Surface Using In-Situ Gauge Observations by Rudolf, B., and U. Schneider
• How to Access GES DISC Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.

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JAXA / USGS / NASA Kaguya/SELENE Terrain Camera Digital Terrain Models

cogelevationplanetarystac

The Japan Aerospace EXploration Agency (JAXA) SELenological and ENgineering Explorer (SELENE) mission’s Kaguya spacecraft was launched on September 14, 2007 and science operations around the Moon started October 20, 2007. The primary mission in a circular polar orbit 100-km above the surface lasted from October 20, 2007 until October 31, 2008. An extended mission was then conducted in lower orbits (averaging 50km above the surface) from November 1, 2008 until the SELENE mission ended with Kaguya impacting the Moon on June 10, 2009. These data are digital terrain models derived using the NASA A...

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Usage examples

• PySTAC Client by PySTAC-Client Contributors
• Querying for Data in an ROI and Loading it into QGIS by J. Laura
• Discovering and Downloading Data with Python by J. Laura
• Discovering and Downloading Data via the Command Line by J. Laura

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JAXA / USGS / NASA Kaguya/SELENE Terrain Camera Observations

cogplanetarysatellite imagerystac

The Japan Aerospace EXploration Agency (JAXA) SELenological and ENgineering Explorer (SELENE) mission’s Kaguya spacecraft was launched on September 14, 2007 and science operations around the Moon started October 20, 2007. The primary mission in a circular polar orbit 100-km above the surface lasted from October 20, 2007 until October 31, 2008. An extended mission was then conducted in lower orbits (averaging 50km above the surface) from November 1, 2008 until the SELENE mission ended with Kaguya impacting the Moon on June 10, 2009. These data were collected in monoscopic observing mode. To cre...

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Usage examples

• Discovering and Downloading Data via the Command Line by J. Laura
• Discovering and Downloading Data with Python by J. Laura
• PySTAC Client by PySTAC-Client Contributors
• Querying for Data in an ROI and Loading it into QGIS by J. Laura

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NASA / USGS Controlled Europa DTMs

cogplanetarysatellite imagerystac

Knowledge of a planetary surface’s topography is necessary to understand its geology and enable landed mission operations. The Solid State Imager (SSI) on board NASA’s Galileo spacecraft acquired more than 700 images of Jupiter’s moon Europa. Although moderate- and high-resolution coverage is extremely limited, repeat coverage of a small number of sites enables the creation of digital terrain models (DTMs) via stereophotogrammetry. Here we provide stereo-derived DTMs of five sites on Europa. The sites are the bright band Agenor Linea, the crater Cilix, the crater Pwyll, pits and chaos adjacent...

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Usage examples

• Discovering and Downloading Data via the Command Line by J. Laura
• PySTAC Client by PySTAC-Client Contributors
• Querying for Data in an ROI and Loading it into QGIS by J. Laura
• Discovering and Downloading Data with Python by J. Laura

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NASA / USGS Controlled THEMIS Mosaics

cogplanetarysatellite imagerystac

These data are infrared image mosaics, tiled to the Mars quadrangle, generated using Thermal Emission Imaging System (THEMIS) images from the 2001 Mars Odyssey orbiter mission. The mosaic is generated at the full resolution of the THEMIS infrared dataset, which is approximately 100 meters/pixel. The mosaic was absolutely photogrammetrically controlled to an improved Viking MDIM network that was develop by the USGS Astrogeology processing group using the Integrated Software for Imagers and Spectrometers. Image-to-image alignment precision is subpixel (i.e., <100m). These 8-bit, qualitative d...

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Usage examples

• Discovering and Downloading Data with Python by J. Laura
• Discovering and Downloading Data via the Command Line by J. Laura
• PySTAC Client by PySTAC-Client Contributors
• Querying for Data in an ROI and Loading it into QGIS by J. Laura

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NASA / USGS Europa Controlled Observation Mosaics

cogplanetarysatellite imagerystac

The Solid State Imager (SSI) on NASA's Galileo spacecraft acquired more than 500 images of Jupiter's moon, Europa. These images vary from relatively low-resolution hemispherical imaging, to high-resolution targeted images that cover a small portion of the surface. Here we provide a set of 92 image mosaics generated from minimally processed, projected Galileo images with photogrammetrically improved locations on Europa's surface.

These images provide users with nearly the entire Galileo Europa imaging dataset at its native resolution and with improved relative image locations. The S...

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Usage examples

• Discovering and Downloading Data via the Command Line by J. Laura
• Querying for Data in an ROI and Loading it into QGIS by J. Laura
• Discovering and Downloading Data with Python by J. Laura
• PySTAC Client by PySTAC-Client Contributors

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NASA / USGS Europa Controlled Observations

cogplanetarysatellite imagerystac

The Solid State Imager (SSI) on NASA's Galileo spacecraft acquired more than 500 images of Jupiter's moon, Europa. These images vary from relatively low-resolution hemispherical imaging, to high-resolution targeted images that cover a small portion of the surface. Here we provide a set of 481 minimally processed, projected Galileo images with photogrammetrically improved locations on Europa's surface. These individual images were subsequently used as input into a set of 92 observation mosaics.

These images provide users with nearly the entire Galileo Europa imaging dataset at its nativ...

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Usage examples

• Discovering and Downloading Data via the Command Line by J. Laura
• Querying for Data in an ROI and Loading it into QGIS by J. Laura
• Discovering and Downloading Data with Python by J. Laura
• PySTAC Client by PySTAC-Client Contributors

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NASA / USGS Mars Reconnaissance Orbiter (MRO) Context Camera (CTX) Targeted DTMs

cogelevationplanetarysatellite imagerystac

As of March, 2023 the Mars Reconnaissance Orbiter (MRO) High Resolution Science Experiment (HiRISE) sensor has collected more than 5000 targeted stereopairs. During HiRISE acquisition, the Context Camera (CTX) also collects lower resolution, higher spatial extent context images. These CTX acquisitions are also targeted stereopairs. This data set contains targeted CTX DTMs and orthoimages, created using the NASA Ames Stereopipeline. These data have been created using relatively controlled CTX images that have been globally bundle adjusted using the USGS Integrated System for Imagers and Spectro...

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Usage examples

• Discovering and Downloading Data with Python by J. Laura
• PySTAC Client by PySTAC-Client Contributors
• Discovering and Downloading Data via the Command Line by J. Laura
• Querying for Data in an ROI and Loading it into QGIS by J. Laura

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NASA / USGS Released HiRISE Digital Terrain Models

cogplanetarysatellite imagerystac

These data are digital terrain models (DTMs) created by multiple different institutions and released to the Planetary Data System (PDS) by the University of Arizona. The data are processed from the Planetary Data System (PDS) stored JP2 files, map projected, and converted to Cloud Optimized GeoTiffs (COGs) for efficient remote data access. These data are controlled to the Mars Orbiter Laser Altimeter (MOLA). Therefore, they are a proxy for the geodetic coordinate reference frame. These data are not guaranteed to co-register with an uncontrolled products (e.g., the uncontrolled High Resolution ...

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Usage examples

• Discovering and Downloading Data via the Command Line by J. Laura
• Discovering and Downloading Data with Python by J. Laura
• PySTAC Client by PySTAC-Client Contributors
• Querying for Data in an ROI and Loading it into QGIS by J. Laura

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NASA / USGS Uncontrolled HiRISE RDRs

cogplanetarysatellite imagerystac

These data are red and color Reduced Data Record (RDR) observations collected and originally processed by the High Resolution Imaging Science Experiment (HiRISE) team. The mdata are processed from the Planetary Data System (PDS) stored RDRs, map projected, and converted to Cloud Optimized GeoTiffs (COGs) for efficient remote data access. These data are not photogrammetrically controlled and use a priori NAIF SPICE pointing. Therefore, these data will not co-register with controlled data products. Data are released using simple cylindrical (planetocentric positive East, center longitude 0, -180...

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Usage examples

• Discovering and Downloading Data with Python by J. Laura
• Querying for Data in an ROI and Loading it into QGIS by J. Laura
• PySTAC Client by PySTAC-Client Contributors
• Discovering and Downloading Data via the Command Line by J. Laura

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OPERA Radiometric Terrain Corrected SAR Backscatter from Sentinel-1 validated product (Version 1)

coastalearth observationgeoscienceglobalhdficelandmetadataoceansorbitradarsentinel-1soil moisturesynthetic aperture radartiffxml

The Observational Products for End-Users from Remote Sensing Analysis (OPERA) Radiometric Terrain Corrected (RTC) SAR Backscatter from Sentinel-1 (S1) validated product consists of radar backscatter normalized with respect to the topography. The product maps signals related to the physical properties of ground scattering objects, such as surface roughness and soil moisture and/or vegetation. The OPERA RTC-S1 product is derived from Copernicus Sentinel-1 Interferometric Wide (IW) Single Look Complex (SLC) data with a near global scope and temporal sampling coincident with the availability of S1...

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Usage examples

• RTC Landslide Example by K. Venkataramani
• Thermal Denoising of Products Generated by the S-1 IPF by Riccardo Piantanida
• An Area-Based Projection Algorithm for SAR Radiometric Terrain Correction and Geocoding by Gustavo H. X. Shiroma, Marco Lavalle, and Sean M. Buckley
• Load, Mosaic, and Visualize OPERA RTC-S1 Data by K. Venkataramani

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GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis (v4.1)

datacenterearth observationglobalicemetadataoceansparquetuswater

A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced as a retrospective dataset (four day latency) and near-real-time dataset (one day latency) at the JPL Physical Oceanography DAAC using wavelets as basis functions in an optimal interpolation approach on a global 0.01 degree grid. The version 4 Multiscale Ultrahigh Resolution (MUR) L4 analysis is based upon nighttime GHRSST L2P skin and subskin SST observations from several instruments including the NASA Advanced Microwave Scanning Radiometer-EOS (AMSR-E), the JAXA Advanced Microwave S...

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Usage examples

• MUR Sea Surface Temperature Analysis of Washington State by Zoë Walschots
• A multi-scale high-resolution analysis of global sea surface temperature by Chin, T.M, J. Vazquez-Cuervo, and E.M. Armstrong
• Using Sea Surface Temperature and Sea Surface Height Data for Hurricane Helene by Julie Sanchez

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NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6)

air temperatureclimateclimate modelclimate projectionsCMIP6cogearth observationenvironmentalglobalmodelNASA Center for Climate Simulation (NCCS)near-surface relative humiditynear-surface specific humiditynetcdfprecipitation

The NEX-GDDP-CMIP6 dataset is comprised of global downscaled climate scenarios derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 6 (CMIP6) and across two of the four "Tier 1" greenhouse gas emissions scenarios known as Shared Socioeconomic Pathways (SSPs). The CMIP6 GCM runs were developed in support of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR6). This dataset includes downscaled projections from ScenarioMIP model runs for which daily scenarios were produced and distributed...

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Usage examples

• NASA and ASDI announce no-cost access to important climate dataset on the AWS Cloud by Dr. Manil Maskey and Ana Pinheiro Privette
• NEX-GDDP-CMIP6 Dashboard by NASA
• NASA Global Daily Downscaled Projections, CMIP6 by Thrasher, B., Wang, W., Michaelis, A., Melton, F., Lee, T. and Nemani, R.

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NASA High Energy Astrophysics Mission Data

archivesastronomydatacenterimagingsatellite imageryx-ray

NASA data for high energy astrophysics (generally x-ray and gamma-ray domains) is made available here by the High Energy Astrophysics Science Archive Research Center. The HEASARC hosts the full data archives of over 30 different missions spanning 50 years. The data archive for each mission will contain a range of data types from spacecraft housekeeping and raw photon event list data up to high level science-ready products such as images, light curves (time series), and energy spectra.

This is a relatively modest total data volume but contains significant complexity and heterogeneity among the different missions. Data provided here are stored in the Flexible Imag...

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Usage examples

• HEASoft by NASA/HEASARC
• HEASARC Bibliography by Various; curated by HEASARC
• HEASARC Cloud access page by NASA/HEASARC

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NASA Legacy Archive for Microwave Background Data Analysis (LAMBDA)

archivesastronomydatacenterimagingsatellite imagery

NASA data for cosmic microwave background (CMB) analysis is made available here by the Legacy Archive for Microwave Background Data Analysis (LAMBDA), which is a part of NASA's High Energy Astrophysics Science Archive Research Center (HEASARC). LAMBDA hosts the data archives of over 30 different CMB missions spanning 30+ years. The data archive for each mission may contain a range of data types from low-level time-ordered data to high level science-ready products such as sky maps and angular power spectra. Also provided in consistent formats are a variety of full sky maps in complementary ...

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Usage examples

• LAMBDA Tools by NASA/LAMBDA
• CMB Experiment Bibliography by Various; curated by LAMBDA
• LAMBDA cloud access by NASA/LAMBDA

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NASA SOHO/LASCO2 comet challenge on AWS

astronomymachine learningNASA SMD AI

The SOHO/LASCO data set (prepared for the challenge hosted in Topcoder) provided here comes from the instrument’s C2 telescope and comprises approximately 36,000 images spread across 2,950 comet observations. The human eye is a very sensitive tool and it is the only tool currently used to reliably detect new comets in SOHO data - particularly comets that are very faint and embedded in the instrument background noise. Bright comets can be easily detected in the LASCO data by relatively simple automated algorithms, but the majority of comets observed by the instrument are extremely faint, noise-...

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Usage examples

• Winners Selected for the NASA SOHO Comet Search with Artificial Intelligence Open-Science Challenge by Denise Hill
• Topcoder Challenge Finds Two New Comets For NASA by Annika Nagy
• Topcoder NASA Comet Discovery: A Recap by TopCoder

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NASA Space Biology Open Science Data Repository (OSDR)

bioinformaticsbiologyGeneLabgenomicimaginglife sciencesspace biology

NASA’s Space Biology Open Science Data Repository (OSDR) introduces a one-stop site where users can explore and contribute a variety of NASA open science biological data. This site consolidates data from the Ames Life Sciences Data Archive (ALSDA) and GeneLab and includes information about the broader NASA Open Science and Open Data initiatives, all at one centralized location. Our mission is to maximize the utilization of the valuable biological research resources and enable new discoveries.

OSDR introduces access to data generated from spaceflight and space relevant experiments that explore ...

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Usage examples

• GeneLab: Omics database for spaceflight experiments by Shayoni Ray, Samrawit Gebre, Homer Fogle, Daniel C Berrios, Peter B Tran, Jonathan M Galazka, Sylvain V Costes
• Advancing the Integration of Biosciences Data Sharing to Further Enable Space Exploration by Ryan T. Scott, Kirill Grigorev, Graham Mackintosh, Samrawit G. Gebre, Christopher E. Mason, Martha E. Del Alto, Sylvain V. Costes
• NASA GeneLab: interfaces for the exploration of space omics data by Daniel C Berrios, Jonathan Galazka, Kirill Grigorev, Samrawit Gebre, Sylvain V Costes

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OPERA Land Surface Disturbance Annual from Harmonized Landsat Sentinel-2 product (Version 1)

cogearth observationenvironmentalgloballandland coverland use

The Observational Products for End-Users from Remote Sensing Analysis (OPERA) Land Surface Disturbance Annual from Harmonized Landsat Sentinel-2 (HLS) product Version 1 summarizes the DIST-ALERT data product into an annual vegetation disturbance data product. Vegetation disturbance is mapped when there is an indicated decrease in vegetation cover within an HLS Version 2 pixel. The product also provides auxiliary generic disturbance information as determined from the variations of the reflectance through the DIST-ALERT scenes to provide information about more general disturbance trends. The DIS...

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Usage examples

• Visualization and Exploration of OPERA DIST-ANN-HLS Product Layers by C. Speed and M. Grace Bato
• Visualizing and Analyzing the OPERA DIST-ANN-HLS Product to Visualize Wildfire Impact in Northern Quebec by C. Speed and M. Grace Bato
• Visualizing and Analyzing the OPERA DIST-ANN-HLS Product to Explore Land-Use Change in Brazil by C. Speed and M. Grace Bato

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OPERA Radiometric Terrain Corrected SAR Backscatter from Sentinel-1 Static Layers validated product (Version 1)

coastalcogearth observationgeoscienceglobalicelandmetadataoceansorbitradarsentinel-1synthetic aperture radartiffxml

The Observational Products for End-Users from Remote Sensing Analysis (OPERA) Radiometric Terrain Corrected (RTC) SAR Backscatter from Sentinel-1 (S1) Static Layers (RTC-S1-STATIC) validated product contains static radar geometry layers associated with the OPERA Radiometric Terrain Corrected (RTC) SAR Backscatter from Sentinel-1 (S1) (RTC-S1) validated product. Due to the S1 mission’s narrow orbital tube, radar-geometry layers such as incidence angle, local incidence angle, number of looks, and RTC Area Normalization Factor (ANF) vary slightly over time for each position on the ground, and th...

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Usage examples

• RTC Landslide Example by K. Venkataramani
• An Area-Based Projection Algorithm for SAR Radiometric Terrain Correction and Geocoding by Gustavo H. X. Shiroma, Marco Lavalle, and Sean M. Buckley
• Load, Mosaic, and Visualize OPERA RTC-S1 Data by K. Venkataramani

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Astrophysics Division Galaxy Segmentation Benchmark Dataset

astronomymachine learningNASA SMD AIsegmentation

Pan-STARSS imaging data and associated labels for galaxy segmentation into galactic centers, galactic bars, spiral arms and foreground stars derived from citizen scientist labels from the Galaxy Zoo: 3D project.

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Usage examples

• Pan-STARRS Pixel Processing: Detrending, Warping, Stacking by C. Z. Waters, E. A. Magnier, P. A. Price, K. C. Chambers, W. S. Burgett, P. W. Draper, H. A. Flewelling, K. W. Hodapp, M. E. Huber, R. Jedicke, N. Kaiser, R.-P. Kudritzki, R. H. Lupton, N. Metcalfe, A. Rest, W. E. Sweeney, J. L. Tonry, R. J. Wainscoat, and W. M. Wood-Vase
• Galaxy Zoo: 3D – crowdsourced bar, spiral, and foreground star masks for MaNGA target galaxies by Karen L Masters, Coleman Krawczyk, Shoaib Shamsi, Alexander Todd, Daniel Finnegan, Matthew Bershady, Kevin Bundy, Brian Cherinka, Amelia Fraser-McKelvie, Dhanesh Krishnarao, Sandor Kruk, Richard R Lane, David Law, Chris Lintott, Michael Merrifield, Brooke Simmons, Anne-Marie Weijmans, Renbin Yan

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Biological and Physical Sciences (BPS) Microscopy Benchmark Training Dataset

fluorescence imagingGeneLabgeneticgenetic mapslife sciencesmicroscopyNASA SMD AI

Fluorescence microscopy images of individual nuclei from mouse fibroblast cells, irradiated with Fe particles or X-rays with fluorescent foci indicating 53BP1 positivity, a marker of DNA damage. These are maximum intensity projections of 9-layer microscopy Z-stacks.

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Usage examples

• NASA SMD AI Workshop Report by SMD Artificial Intelligence (AI) Initiative
• Dose, LET and Strain Dependence of Radiation-Induced 53BP1 Foci in 15 Mouse Strains Ex Vivo Introducing Novel DNA Damage Metrics by Sébastien Penninckx, Egle Cekanaviciute, Charlotte Degorre, Elodie Guiet, Louise Viger, Stéphane Lucasb, Sylvain V. Costes

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Biological and Physical Sciences (BPS) RNA Sequencing Benchmark Training Dataset

gene expressionGeneLabgeneticgenetic mapslife sciencesNASA SMD AIspace biology

RNA sequencing data from spaceflown and control mouse liver samples, sourced from NASA GeneLab and augmented with generative adversarial network.

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Usage examples

• Adversarial generation of gene expression data by Ramon Viñas, Helena Andrés-Terré, Pietro Liò, Kevin Bryson
• NASA SMD AI Workshop Report by SMD Artificial Intelligence (AI) Initiative

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GEDI L2A Elevation and Height Metrics Data Global Footprint Level V002

biodiversitycarbondatacenterearth observationenergyglobalhdficelandland coverlidarmetadataorbiturbanwater

The Global Ecosystem Dynamics Investigation (GEDI) mission aims to characterize ecosystem structure and dynamics to enable radically improved quantification and understanding of the Earth’s carbon cycle and biodiversity. The GEDI instrument produces high resolution laser ranging observations of the 3-dimensional structure of the Earth. GEDI is attached to the International Space Station (ISS) and collects data globally between 51.6° N and 51.6° S latitudes at the highest resolution and densest sampling of any light detection and ranging (lidar) instrument in orbit to date. Each GEDI Version 2 granule encompasses one-fourth of an ISS orbit and includes georeferenced metadata to allow for spatial querying and subsetting.The GEDI instrument was removed fro...

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Usage examples

• Getting Started with GEDI L2A Version 2 Data in Python by Land Processes Distributed Active Archive Center (LP DAAC)
• How to: Find and Access GEDI Data by Land Processes Distributed Active Archive Center (LP DAAC)

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GHRSST Level 2P Global Sea Surface Skin Temperature from the MODIS on the NASA Terra satellite (GDS2)

atmospheredatacenterearth observationgloballandmarinemetadatanetcdfoceansorbit

NASA produces skin sea surface temperature (SST) products from the Infrared (IR) channels of the Moderate-resolution Imaging Spectroradiometer (MODIS) onboard the Terra satellite. Terra was launched by NASA on December 18, 1999, into a sun synchronous, polar orbit with a daylight descending node at 10:30 am, to study the global dynamics of the Earth atmosphere, land and oceans. The MODIS captures data in 36 spectral bands at a variety of spatial resolutions. Two SST products can be present in these files. The first is a skin SST produced for both day and night observations, derived from the l...

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Usage examples

• A decade of sea surface temperature from MODIS by Kilpatrick, K.A., Podestá, G., Walsh, S., Williams, E., Halliwell, V., Szczodrak, M., Brown, O.B., Minnett, P.J., & Evans, R.
• Direct S3 Access tutorial by PODAAC

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GPM DPR Precipitation Profile L2A 1.5 hours 5 km V07 (GPM_2ADPR) at GES DISC

atmospherecontaminationdatacenterearth observationglobalhdfmetadataopendapradarwater

Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07. .2ADPR provides single- and dual-frequency-derived precipitation estimates from the Ku and Ka radars of the Dual-Frequency Precipitation Radar (DPR) on the core GPM spacecraft. The output consists of three main classes of precipitation products: those derived from the Ku-band frequency over a wide swath (245 km), those derived from the Ka-band frequency over a narrow swath (125 km), and those derived from the dual-frequency data over the narrow swath. The Ka-ban...

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Usage examples

• How to Access GES DISC Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.
• How to Read IMERG Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.

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NASA Physical Sciences Informatics (PSI)

chemistryfluid dynamicsmaterials sciencephysicsspace biology

NASA's Physical Sciences Research Program, along with its predecessors, has conducted significant fundamental and applied research in the physical sciences. The International Space Station (ISS) is an orbiting laboratory that provides an ideal facility to conduct long-duration experiments in the near absence of gravity and allows continuous and interactive research similar to Earth-based laboratories. This enables scientists to pursue innovations and discoveries not currently achievable by other means. NASA's Physical Sciences Research Program also benefits from collaborations with several ...

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Usage examples

• Researcher's Guide to Physical Sciences Informatics System by NASA ISS Program Science Office
• PSI System Demonstration by Cheryl Payne

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Nighttime-Fire-Flare

anomaly detectionclassificationdisaster responseearth observationenvironmentalNASA SMD AIsatellite imagerysocioeconomicurban

Detection of nighttime combustion (fire and gas flaring) from daily top of atmosphere data from NASA's Black Marble VNP46A1 product using VIIRS Day/Night Band and VIIRS thermal bands.

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Usage examples

• Potentially underestimated gas flaring activities—a new approach to detect combustion using machine learning and NASA's Black Marble product suite by Srija Chakraborty, Tomohiro Oda, Virginia Kalb, Zhuosen Wang, Miguel O Román
• NASA SMD AI Workshop Report by SMD Artificial Intelligence Machine Learning (AI/ML) Working Group

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OPERA Coregistered Single-Look Complex from Sentinel-1 Static Layers validated product (Version 1)

coastalearth observationhdficelandmetadataoceansorbitradarsentinel-1synthetic aperture radarxml

The Observational Products for End-Users from Remote Sensing Analysis (OPERA) Coregistered Single-Look Complex (CSLC) from Sentinel-1 (S1) Static Layers (CSLC-S1-STATIC) validated product contains static radar geometry layers associated with the OPERA Coregistered Single-Look Complex (CSLC) from Sentinel-1 (S1) validated product. Due to the S1 mission’s narrow orbital tube, radar-geometry layers vary slightly over time for each position on the ground, and therefore are considered static. These static layers are provided separately from the OPERA CSLC-S1 product, as they are produced only once ...

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Usage examples

• Generate interferograms and map the lava flow emplacement using OPERA CSLC-S1 by M. Grace Bato
• Generate inteferograms without the need to download OPERA CSLC-S1 products locally by M. Grace Bato and K. Devlin

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OPERA Coregistered Single-Look Complex from Sentinel-1 validated product (Version 1)

coastalearth observationhdficelandmetadataoceansorbitradarsentinel-1synthetic aperture radarxml

The Observational Products for End-Users from Remote Sensing Analysis (OPERA) Coregistered Single-Look Complex (CSLC) from Sentinel-1 validated product consists of Single Look Complex (SLC) images which contain both amplitude and phase information of the complex radar return. The amplitude is primarily determined by ground surface properties (e.g., terrain slope, surface roughness, and physical properties), and phase primarily represents the distance between the radar and ground targets corrected for the geometrical distance between the two based on the knowledge from Digital Elevation Model a...

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Usage examples

• Generate interferograms and map the lava flow emplacement using OPERA CSLC-S1 by M. Grace Bato
• Generate inteferograms without the need to download OPERA CSLC-S1 products locally by M. Grace Bato and K. Devlin

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OPERA Dynamic Surface Water Extent from Sentinel-1 (Version 1)

cogdatacenterearth observationgloballandorbitradarsentinel-1surface waterwater

This dataset contains Level-3 Dynamic OPERA Surface Water Extent from Sentinel-1 (DSWx-S1) product version 1. DSWx-S1 provides near-global geographical mapping of surface water extent over land at a spatial resolution of 30 meters over the Military Grid reference System (MGRS) grid system, with a temporal revisit frequency between 6-12 days. Using Sentinel-1 radar observations, DSWx-S1 maps open inland water bodies greater than 3 hectares and 200 meters in width, irrespective of cloud conditions and daylight illumination that often pose challenges to optical sensors. Forward production of the...

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Usage examples

• Working with OPERA Dynamic Surface Water Extent (DSWx) Data by Nicholas Tarpinian
• Generate Flood Maps without downloading OPERA DSWx-S1 products locally by S. Sangha

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OPERA Land Surface Disturbance Alert from Harmonized Landsat Sentinel-2 product (Version 1)

cogearth observationenvironmentalgloballandland coverland usesatellite imagery

The Observational Products for End-Users from Remote Sensing Analysis (OPERA) Land Surface Disturbance Alert from Harmonized Landsat Sentinel-2 (HLS) product Version 1 maps vegetation disturbance alerts that are derived from data collected by Landsat 8 and Landsat 9 Operational Land Imager (OLI) and Sentinel-2A, Sentinel-2B, and Sentinel-2C Multi-Spectral Instrument (MSI). A vegetation disturbance alert is detected at 30 meter (m) spatial resolution when there is an indicated decrease in vegetation cover within an HLS pixel. The Level-3 data product also provides additional information about more ...

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Usage examples

• Getting Started with OPERA DIST-ALERT-HLS Products by R. Dhillon and M. Grace Bato
• Getting Started with OPERA DIST Product by M. Grace Bato and R. Dhillon

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OPERA Land Surface Disturbance Alert from Harmonized Landsat Sentinel-2 provisional product (Version 0)

cogearth observationenvironmentalgloballandland coverland use

The OPERA_L3_DIST-ALERT-HLS Version 0 data product was decommissioned on April 25, 2025. Users are encouraged to use the OPERA_L3_DIST-ALERT-HLS V1 data product which was released on March 14, 2024, and has achieved stage 1 validation.The Observational Products for End-Users from Remote Sensing Analysis (OPERA) Land Surface Disturbance Alert from Harmonized Landsat Sentinel-2 (HLS) provisional data product Version 0 maps vegetation disturbance alerts from data collected by Landsat 8 and Landsat 9 Operational Land Imager (OLI) and Sentinel-2A, Sentinel-2B, and Sentinel-2C Multi-Spectral Instrum...

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Usage examples

• Getting Started with OPERA DIST Product by M. Grace Bato and R. Dhillon
• Getting Started with OPERA DIST-ALERT-HLS Products by R. Dhillon and M. Grace Bato

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Terra Fusion Data Sampler

geospatialsatellite imagery

The Terra Basic Fusion dataset is a fused dataset of the original Level 1 radiances from the five Terra instruments. They have been fully validate to contain the original Terra instrument Level 1 data. Each Level 1 Terra Basic Fusion file contains one full Terra orbit of data and is typically 15 – 40 GB in size, depending on how much data was collected for that orbit. It contains instrument radiance in physical units; radiance quality indicator; geolocation for each IFOV at its native resolution; sun-view geometry; bservation time; and other attributes/metadata. It is stored in HDF5, conformed to CF conventions, and ...

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Usage examples

• TerraFusion GitHub by University of Illinois
• Basic Terra fusion product algorithm theoretical basis and data specifications by Zhao, Guangu; Yang, Muqun; Clipp, Landon; Gao, Yizhao; Lee, Joe H.

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Zwicky Transient Facility (ZTF)

astronomyobject detectionparquetsurvey

The Zwicky Transient Facility (ZTF) is a time-domain astronomy survey that uses the Palomar 48 inch Schmidt telescope and a custom-built wide-field camera to image the night sky in three photometric filters (g, r, and i). It is a fully-automated survey aimed at a systematic exploration of optical transient phenomena. It completes a scan of the observable northern sky approximately every three nights.

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Usage examples

• IRSA Notebook Tutorials by Caltech/IPAC-IRSA
• Multi-Wavelength Light Curves Tutorial by Fornax Initiative

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3-Band Cryo Data | Wide-field Infrared Survey Explorer (WISE)

astronomyimagingsatellite imagerysurvey

The Wide-field Infrared Survey Explorer (WISE) was a NASA Medium Explorer satellite in low-Earth orbit that conducted an all-sky astronomical imaging survey over four infrared bands from 2010-2011. The 3-Band Cryo Data Release contains 3.4, 4.6 and 12 micron (W1, W2, W3) imaging data that were acquired between 6 Aug and 29 Sept 2010 while the detectors were cooled by the inner cryogen tank following the exhaustion of the outer tank.

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Usage examples

• Notebook Tutorials by Caltech/IPAC-IRSA

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ABoVE: Bias-Corrected IMERG Monthly Precipitation for Alaska and Canada, 2000-2020

atmospherecogcogearth observationgloballandradar

This dataset is a modification to the Integrated Multi-satellitE Retrievals for GPM (IMERG) Final Run microwave-only, daily precipitation Version 06 data. It provides bias-corrected IMERG monthly precipitation data for Alaska and Canada from June 2000 through December 2020 in Cloud-Optimized GeoTIFF (*.tif) format. Data are provided in the units of mm/day. NASA's IMERG data product is one of the most advanced satellite precipitation products with a 0.1-degree spatial resolution and near global coverage. This dataset bias-corrected IMERG's HQprecipitation precipitation estimates, which ...

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Usage examples

• Accessing Data through ORNL DAAC Web Services by ORNL DAAC

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AIRS/Aqua L1B Infrared (IR) geolocated and calibrated radiances V005 (AIRIBRAD) at GES DISC

atmospheredatacenterearth observationglobalhdficelandmetadataopendaporbit

WARNING: On 2021/09/23 the EOS Aqua executed a Deep Space Maneuver (DSM). In the DSM, the spacecraft is turned such that the normal Earth field of regard is deep space.The thermal impact of the DSM caused a shift of the centroids of spectral response functions (SRF) of about 1% of the width of the SRF, equivalent to a frequency shift of 9 parts per million. This shift is reflected in the “spectral_freq” parameter (observed frequencies) in the L1b v5 files for each 6 minute granule. The magnitude of the effect on brightness temperatures (BT) depends on the spectral gradient of each channel. Max...

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Usage examples

• How to Access GES DISC Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.

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ASTER Level 1T Precision Terrain Corrected Registered At-Sensor Radiance V004

cogcogearth observationgloballandorbit

The Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Level 1 Precision Terrain Corrected Registered At-Sensor Radiance (AST_L1T) data contains calibrated at-sensor radiance, which corresponds with the ASTER Level 1B (AST_L1B) that has been geometrically corrected and rotated to a north-up UTM projection. The AST_L1T is created from a single resampling of the corresponding ASTER L1A (AST_L1A) product. The bands available in the AST_L1T depend on the bands in the AST_L1A and can include up to three Visible and Near Infrared (VNIR) bands, six Shortwave Infrared (SWIR) bands, and five Thermal Infrared (TIR...

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• Download Files from S3 Using boto3 by LPDAAC

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ATLAS/ICESat-2 L2A Global Geolocated Photon Data V006

atmospheredatacenterearth observationglobalhdficelandwater

This data set (ATL03) contains height above the WGS 84 ellipsoid (ITRF2014 reference frame), latitude, longitude, and time for all photons downlinked by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The ATL03 product was designed to be a single source for all photon data and ancillary information needed by higher-level ATLAS/ICESat-2 products. As such, it also includes spacecraft and instrument parameters and ancillary data not explicitly required for ATL03. Read our doc on how to get AWS Creden...

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Usage examples

• Accessing and working with ICESat-2 data in the cloud by Andy Barrett, Jennifer Roebuck, Amy Steiker

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ATLAS/ICESat-2 L3A Land and Vegetation Height V006

atmospheredatacenterearth observationglobalhdficeland

This data set (ATL08) contains along-track heights above the WGS84 ellipsoid (ITRF2014 reference frame) for the ground and canopy surfaces. The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. Read our doc on how to get AWS Credentials to retrieve this data: https://data.nsidc.earthdatacloud.nasa.gov/s3credentialsREADME

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Usage examples

• Accessing and working with ICESat-2 data in the cloud by Andy Barrett, Jennifer Roebuck, and Amy Steiker.

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All-Sky Data | Wide-field Infrared Survey Explorer (WISE)

astronomyimagingsatellite imagerysurvey

The Wide-field Infrared Survey Explorer (WISE) was a NASA Medium Explorer satellite in low-Earth orbit that conducted an all-sky astronomical imaging survey over four infrared bands from 2010-2011. The All-Sky Release includes all data taken during the WISE full cryogenic mission phase, 7 January 2010 to 6 August 2010, in the 3.4, 4.6, 12, and 22 micron bands (i.e., W1, W2, W3, W4) that were processed with improved calibrations and reduction algorithms.

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Usage examples

• Notebook Tutorials by Caltech/IPAC-IRSA

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AllWISE Data | Wide-field Infrared Survey Explorer (WISE)

astronomyimagingobject detectionparquetsatellite imagerysurvey

The Wide-field Infrared Survey Explorer (WISE) was a NASA Medium Explorer satellite in low-Earth orbit that conducted an all-sky astronomical imaging survey over four infrared bands from 2010-2011. The AllWISE Data Release combines data from all cryogenic and post-cryogenic survey phases and provides a comprehensive view of the mid-infrared sky. The Images Atlas includes 18,240 FITS image sets at 3.4, 4.6, 12 and 22 microns. The Source Catalog contains position, apparent motion, and flux information for over 747 million objects detected on the Atlas Images.

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Usage examples

• Notebook Tutorials by Caltech/IPAC-IRSA

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Astrophysics Division Galaxy Morphology Benchmark Dataset

astronomymachine learningNASA SMD AIsatellite imagery

Hubble Space Telescope imaging data and associated identification labels for galaxy morphology derived from citizen scientist labels from the Galaxy Zoo: Hubble project.

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• Galaxy Zoo: morphological classifications for 120 000 galaxies in HST legacy imaging by Kyle W. Willett, Melanie A. Galloway, Steven P. Bamford, Chris J. Lintott, Karen L. Masters, Claudia Scarlata, B. D. Simmons, Melanie Beck, Carolin N. Cardamone, Edmond Cheung, Edward M. Edmondson, Lucy F. Fortson, Roger L. Griffith, Boris Häußler, Anna Han, Ross Hart, Thomas Melvin, Michael Parrish, Kevin Schawinski, R. J. Smethurst, Arfon M. Smith

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GEDI L4A Footprint Level Aboveground Biomass Density, Version 2.1

earth observationecosystemsglobalhdflandland coverlidaropendap

This dataset contains Global Ecosystem Dynamics Investigation (GEDI) Level 4A (L4A) Version 2 predictions of the aboveground biomass density (AGBD; in Mg/ha) and estimates of the prediction standard error within each sampled geolocated laser footprint. In this version, the granules are in sub-orbits. The algorithm setting group selection used for GEDI02_A Version 2 has been modified for Evergreen Broadleaf Trees in South America to reduce false positive errors resulting from the selection of waveform modes above ground elevation as the lowest mode. The footprints are located within the global ...

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• Searching and Downloading GEDI L4A Dataset by Rupesh Shrestha

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HLS Landsat Operational Land Imager Surface Reflectance and TOA Brightness Daily Global 30m v2.0

atmospherecogdatacenterearth observationgeospatialglobalicelandmetadataorbitsatellite imagerystacsurface watertileswaterxml

The Harmonized Landsat Sentinel-2 (HLS) project provides consistent surface reflectance (SR) and top of atmosphere (TOA) brightness data from a virtual constellation of satellite sensors. The Operational Land Imager (OLI) is housed aboard the joint NASA/USGS Landsat 8 and Landsat 9 satellites, while the Multi-Spectral Instrument (MSI) is mounted aboard Europe’s Copernicus Sentinel-2A, Sentinel-2B, and Sentinel-2C satellites. The combined measurement enables global observations of the land every 2–3 days at 30-meter (m) spatial resolution. The HLS project uses a set of algorithms to obtain seamless products from OLI and MSI that include atmospheric correction, cloud and cloud-shadow masking, spatial co-registration and common gridding, illumination and view angle normalization...

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Usage examples

• Getting Started with Cloud-Native HLS Data in Python by Mahsa Jami, Erik A. Bolch, Cole K. Krehbiel, Aaron M. Friesz, Brianna M. Lind

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HLS Sentinel-2 Multi-spectral Instrument Surface Reflectance Daily Global 30m v2.0

cogdatacenterearth observationgeospatialglobalhdficelandmetadataorbitsatellite imagerystacsurface watertileswaterxml

The Harmonized Landsat Sentinel-2 (HLS) project provides consistent surface reflectance data from the Operational Land Imager (OLI) aboard the joint NASA/USGS Landsat 8 satellite and the Multi-Spectral Instrument (MSI) aboard Europe’s Copernicus Sentinel-2A, Sentinel-2B, and Sentinel-2C satellites. The combined measurement enables global observations of the land every 2–3 days at 30-meter (m) spatial resolution. The HLS project uses a set of algorithms to obtain seamless products from OLI and MSI that include atmospheric correction, cloud and cloud-shadow masking, spatial co-registration and common gridding, illumination and view angle normalization, and spectral bandpass adjustment. The HLSS30 product provides 30-m Nadir Bidirectio...

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Usage examples

• Getting Started with Cloud-Native HLS Data in Python by Mahsa Jami, Erik A. Bolch, Cole K. Krehbiel, Aaron M. Friesz, Brianna M. Lind

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Land/Sea static mask relevant to IMERG precipitation 0.1x0.1 degree V2 (GPM_IMERG_LandSeaMask) at GES DISC

atmospherecoastaldatacentergloballandmetadatanetcdfopendap

Version 2 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 2.This land sea mask originated from the NOAA group at SSEC in the 1980s. It was originally produced at 1/6 deg resolution, and then regridded for the purposes of GPCP, TMPA, and IMERG precipitation products. NASA code 610.2, Terrestrial Information Systems Laboratory, restructured this land sea mask to match the IMERG grid, and converted the file to CF-compliant netCDF4. Version 2 was created in May, 2019 to resolve detected inaccuracies in coastal regions.Users sho...

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Usage examples

• How to Access GES DISC Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.

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MODIS/Aqua Surface Reflectance Daily L2G Global 1km and 500m SIN Grid V061

datacenterearth observationgeospatialglobalhdficelandopendapsatellite imagery

The MYD09GA Version 6.1 product provides an estimate of the surface spectral reflectance of Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Bands 1 through 7, corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Provided along with the 500 meter (m) surface reflectance, observation, and quality bands are a set of ten 1 kilometer observation bands and geolocation flags. The reflectance layers from the MYD09GA are used as the source data for many of the MODIS land products. Known Issues

• Prior to the Aqua MODIS launch, Band 6 exhibited several anomalous detectors. Band 6 performanc

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• Download Files from S3 Using boto3 by LPDAAC

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MODIS/Aqua Surface Reflectance Daily L2G Global 250m SIN Grid V061

datacenterearth observationgeospatialglobalhdficelandopendap

The MYD09GQ Version 6.1 product provides an estimate of the surface spectral reflectance of Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) 250 meter (m) bands 1 and 2, corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the 250 m bands are the Quality Assurance (QA) layer and five observation layers. This product is intended to be used in conjunction with the quality and viewing geometry information of the 500 m product (MYD09GA). Known Issues

• Prior to the Aqua MODIS launch, Band 6 exhibited several anomalous detectors. Band 6 performance degraded seriously after la

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• Download Files from S3 Using boto3 by LPDAAC

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MODIS/Terra Calibrated Radiances 5-Min L1B Swath 500m

atmospheredatacenterearth observationenvironmentalglobalhdfmetadataopendaporbit

The MODIS/Terra Calibrated Radiances 5Min L1B Swath 500m data set contains calibrated and geolocated at-aperture radiances for 7 discrete bands located in the 0.45 to 2.20 micron region of the electromagnetic spectrum. These data are generated from the MODIS Level 1A scans of raw radiance and in the process converted to geophysical units of W/(m^2 um sr). Additional data are provided including quality flags, error estimates and calibration data.Visible, shortwave infrared, and near infrared measurements are only made during the daytime (except band 26), while radiances for the thermal infrared region (bands 20-25, 27-36) are measured continuously.Channels 1 and 2 have 250 m resolution, channels 3 through 7 have 500 m resolution. However, for the MODIS L1B 500 m product, ...

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• MODIS Level 1B - Calibrated Radiances - Natural Color RGB - 500m by EUMETSAT

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MODIS/Terra Net Evapotranspiration 8-Day L4 Global 500m SIN Grid V061

atmosphereearth observationevapotranspirationgeospatialglobalhdflandland coveropendapwater

The MOD16A2 Version 6.1 Evapotranspiration/Latent Heat Flux product is an 8-day composite dataset produced at 500 meter (m) pixel resolution. The algorithm used for the MOD16 data product collection is based on the logic of the Penman-Monteith equation, which includes inputs of daily meteorological reanalysis data along with Moderate Resolution Imaging Spectroradiometer (MODIS) remotely sensed data products such as vegetation property dynamics, albedo, and land cover. Provided in the MOD16A2 product are layers for composited Evapotranspiration (ET), Latent Heat Flux (LE), Potential ET (PET) and Potential LE (PLE) along with a quality control layer. Two low resolution browse images, ET and LE, are also available for each MO...

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MODIS/Terra Surface Reflectance 8-Day L3 Global 500m SIN Grid V061

earth observationgeospatialglobalhdflandopendapsatellite imagery

The Moderate Resolution Imaging Spectroradiometer (MODIS) Terra MOD09A1 Version 6.1 product provides an estimate of the surface spectral reflectance of Terra MODIS Bands 1 through 7 corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the seven 500 meter (m) reflectance bands are two quality layers and four observation bands. For each pixel, a value is selected from all the acquisitions within the 8-day composite period. The criteria for the pixel choice include cloud and solar zenith. When several acquisitions meet the criteria the pixel with the minimum channel 3 (blue) value is used. Known Issues

• For complete information about known issues please refer to the

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MODIS/Terra Surface Reflectance Daily L2G Global 1km and 500m SIN Grid V061

datacenterearth observationgeospatialglobalhdficelandopendapsatellite imagery

The MOD09GA Version 6.1 product provides an estimate of the surface spectral reflectance of Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Bands 1 through 7, corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Provided along with the 500 meter (m) surface reflectance, observation, and quality bands are a set of ten 1 kilometer (km) observation bands and geolocation flags. The reflectance layers from the MOD09GA are used as the source data for many of the MODIS land products. Known Issues

• For complete information about known issues please refer to the Details →

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  • Download Files from S3 Using boto3 by LPDAAC

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MODIS/Terra Surface Reflectance Daily L2G Global 250m SIN Grid V061

datacenterearth observationgeospatialglobalhdficelandopendap

The MOD09GQ Version 6.1 product provides an estimate of the surface spectral reflectance of Terra Moderate Resolution Imaging Spectroradiometer (MODIS) 250 meter (m) bands 1 and 2, corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the 250 m surface reflectance bands are the Quality Assurance (QA) layer and five observation layers. This product is intended to be used in conjunction with the quality and viewing geometry information of the 500 m product (MOD09GA). Known Issues

• For complete information about known issues please refer to the MODIS/VIIRS Land Quality A

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• Download Files from S3 Using boto3 by LPDAAC

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MODIS/Terra Vegetation Indices 16-Day L3 Global 250m SIN Grid V061

datacenterearth observationgeospatialglobalhdficelandopendapsatellite imagery

The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices (MOD13Q1) Version 6.1 data are generated every 16 days at 250 meter (m) spatial resolution as a Level 3 product. The MOD13Q1 product provides two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. The algorithm chooses the best available pixel value from all the acquisitions from the 16 day period. The cri...

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MODIS/Terra+Aqua BRDF/Albedo Albedo Daily L3 Global - 500m V061

earth observationgeospatialglobalhdflandopendapsatellite imagerytiles

The Moderate Resolution Imaging Spectroradiometer (MODIS) MCD43A3 Version 6.1 Albedo Model dataset is produced daily using 16 days of Terra and Aqua MODIS data at 500 meter (m) resolution. Data are temporally weighted to the ninth day of the 16 day which is reflected in the Julian date in the file name.Users are urged to use the band specific quality flags to isolate the highest quality full inversion results for their own science applications as described in the User Guide.The MCD43A3 provides black-sky albedo (directional hemispherical reflectance) and white-sky albedo (bihemispherical reflectance) data at local solar noon fo...

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• Download Files from S3 Using boto3 by LPDAAC

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MODIS/Terra+Aqua BRDF/Albedo Model Parameters Daily L3 Global - 500m V061

earth observationgeospatialglobalhdflandopendaptiles

The Moderate Resolution Imaging Spectroradiometer (MODIS) MCD43A1 Version 6.1 Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameters dataset is produced daily using 16 days of Terra and Aqua MODIS data at 500 meter (m) resolution. Data are temporally weighted to the ninth day of the retrieval period which is reflected in the Julian date in the file name. MCD43A1 provides the three model weighting parameters (isotropic, volumetric, and geometric) used to derive the Albedo (MCD43A3) and Nadir BRDF-Adjusted Reflectance (NBAR) (MCD43A4) products.Users are urged to use the band specific qualit...

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MODIS/Terra+Aqua BRDF/Albedo Nadir BRDF-Adjusted Ref Daily L3 Global - 500m V061

earth observationgeospatialglobalhdflandopendapsatellite imagerytiles

The Moderate Resolution Imaging Spectroradiometer (MODIS) MCD43A4 Version 6.1 Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR) dataset is produced daily using 16 days of Terra and Aqua MODIS data at 500 meter (m) resolution. The view angle effects are removed from the directional reflectances, resulting in a stable and consistent NBAR product. Data are temporally weighted to the ninth day which is reflected in the Julian date in the file name.Users are urged to use the band specific quality flags to isolate the highest quality full inversion results for their own science applications as described in the User Guide.The MCD43A4 provides NBAR and simplified mandatory quality layers for MODIS bands 1 through 7. Essential q...

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Mars Spectrometry 2: Gas Chromatography for the Sample Analysis at Mars Data (SAM) Instrument

analyticsarchivesdeep learningmachine learningNASA SMD AIplanetary

NASA missions like the Curiosity and Perseverance rovers carry a rich array of instruments suited to collect data and build evidence towards answering if Mars ever had livable environmental conditions. These rovers can collect rock and soil samples and can take measurements that can be used to determine their chemical makeup.

Because communication between rovers and Earth is severely constrained, with limited transfer rates and short daily communication windows, scientists have a limited time to analyze the data and make difficult inferences about the chemistry in order to prioritize the next operations and send thos...

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Usage examples

• Mars Spectrometry: Mars Spectrometry 2 (Challenge Results) by DrivenData team and NASA partners

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Mars Spectrometry: Detect Evidence for Past Habitability

analyticsarchivesdeep learningmachine learningNASA SMD AIplanetary

NASA missions like the Curiosity and Perseverance rovers carry a rich array of instruments suited to collect data and build evidence towards answering if Mars ever had livable environmental conditions. These rovers can collect rock and soil samples and can take measurements that can be used to determine their chemical makeup.

Because communication between rovers and Earth is severely constrained, with limited transfer rates and short daily communication windows, scientists have a limited time to analyze the data and make difficult inferences about the chemistry in order to prioritize the next operations and send thos...

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Usage examples

• Mars Spectrometry: Detect Evidence for Past Habitability (Challenge Results) by DrivenData team and NASA partners

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NCEP/CPC L3 Half Hourly 4km Global (60S - 60N) Merged IR V1 (GPM_MERGIR) at GES DISC

atmosphereclimatedatacenterforecastglobalmetadatanetcdfopendap

These data originate from NOAA/NCEP.The NOAA Climate Prediction Center/NCEP/NWS is making the data available originally in binary format, in a weekly rotating archive. The NASA GES DISC is acquiring the binary files as they become available, converts them into CF (Climate and Forecast) -convention compliant netCDF-4 format, and stores the product in a permanent archive. The original record started from February, 2000, but in June, 2025 it was extended back to January, 1998.The leading edge of data availability is delayed by about 24 hours from real-time to abide by international data exchange agreements between NOAA and EUMETSAT (the METEOSAT data providers).The data ...

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Usage examples

• How to Access GES DISC Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.

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NEOWISE Post-Cryo Data | Wide-field Infrared Survey Explorer (WISE)

astronomyimagingsatellite imagerysurvey

The Wide-field Infrared Survey Explorer (WISE) was a NASA Medium Explorer satellite in low-Earth orbit that conducted an all-sky astronomical imaging survey over four infrared bands from 2010-2011. The NEOWISE Post-Cryo Data Release contains 3.4 and 4.6 micron (W1 and W2) imaging data that were acquired between 29 September 2010 and 1 February 2011 following the exhaustion of the inner and outer cryogen tanks.

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• Notebook Tutorials by Caltech/IPAC-IRSA

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NEOWISE Reactivation Data | Near-Earth Object Wide-field Infrared Survey Explorer (NEOWISE)

astronomyimagingobject detectionparquetsatellite imagerysurvey

The Near-Earth Object Wide-field Infrared Survey Explorer (NEOWISE) is a NASA Medium-class Explorer satellite in low-Earth orbit conducting an all-sky astronomical imaging survey over two infrared bands. The NEOWISE Reactivation mission began in 2013 when the original WISE satellite was brought out of hibernation to learn more about the population of near-Earth objects and comets that could pose an impact hazard to the Earth. The data is also used to study a wide range of astrophysical phenomena in the time domain including brown dwarfs, supernovae and active galactic nuclei.

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• Notebook Tutorials by Caltech/IPAC-IRSA

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OPERA Surface Displacement from Sentinel-1 validated product (Version 1)

earth observationlandmetadatanetcdforbitradarsentinel-1synthetic aperture radarxmlzarr

The Level-3 OPERA Sentinel-1 Surface Displacement (DISP) product is generated through interferometric time-series analysis of Level-2 Coregistered Sentinel-1 Single Look Complex (CSLC) datasets. Using a hybrid Persistent Scatterer (PS) and Distributed Scatterer (DS) approach, this product quantifies Earth's surface displacement in the radar line-of-sight. The DISP products enable the detection of anthropogenic and natural surface changes, including subsidence, tectonic deformation, and landslides. The OPERA DISP suite comprises complementary datasets derived from Sentinel-1 and NISAR input...

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• Inspect DISP-S1 Layers by M. Grace Bato

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OpenUniverse 2024 Simulated Roman & Rubin Images

astronomyimagingobject detectionparquetsatellite imagerysimulationssurvey

This release consists of simulated data products designed to mimic observations of the same region of the sky as seen by two astronomical facilities: the Nancy Grace Roman Telescope and the Vera C. Rubin Observatory.

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• Notebook Tutorials by Caltech/IPAC-IRSA

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SENTINEL-1A_DUAL_POL_GRD_HIGH_RES

agriculturecoastalearth observationearthquakesecosystemsicelandland coverland usemetadataoceansradarsentinel-1stacsurface watersynthetic aperture radartiffurbanwater

Sentinel-1A Dual-pol ground projected high and full resolution images Read our doc on how to get AWS Credentials to retrieve this data: https://sentinel1.asf.alaska.edu/s3credentialsREADME

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• Interferometric Synthetic Aperture Radar Tutorial by LiveEO

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SENTINEL-1A_SLC

coastalearthquakesecosystemsicelandland coverland usemetadataoceansorbitradarsentinel-1stacsurface watersynthetic aperture radartiffurbanwater

Sentinel-1A slant-range product Read our doc on how to get AWS Credentials to retrieve this data: https://sentinel1.asf.alaska.edu/s3credentialsREADME

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• Interferometric Synthetic Aperture Radar Tutorial by LiveEO

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SENTINEL-1B_DUAL_POL_GRD_HIGH_RES

agriculturecoastalearthquakesecosystemsicelandland coverland usemetadataoceansradarsentinel-1stacsurface watersynthetic aperture radartiffurbanwater

Sentinel-1B Dual-pol ground projected high and full resolution images Read our doc on how to get AWS Credentials to retrieve this data: https://sentinel1.asf.alaska.edu/s3credentialsREADME

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• Interferometric Synthetic Aperture Radar Tutorial by LiveEO

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SENTINEL-1B_SLC

agriculturecoastalearthquakesecosystemsicelandland coverland usemetadataoceansorbitradarsentinel-1stacsurface watersynthetic aperture radartiffurbanwater

Sentinel-1B slant-range product Read our doc on how to get AWS Credentials to retrieve this data: https://sentinel1.asf.alaska.edu/s3credentialsREADME

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• Interferometric Synthetic Aperture Radar Tutorial by LiveEO

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SPHEREx Quick Release (QR): An All-Sky Spectral Survey

astronomyimagingobject detectionsatellite imagerysurvey

The Spectro-Photometer for the History of the Universe, Epoch of Reionization, and Ices Explorer (SPHEREx) is a NASA Astrophysics Medium-class Explorer (MIDEX) mission launched in March 2025. During its planned two-year mission, SPHEREx will perform the first ever all-sky spectral survey in the optical to near-infrared (0.75-5 microns). SPHEREx data will be used to probe inflation and the early universe, trace the history of galactic light production, and investigate the origin of planetary systems and biogenic ices, in addition to contributing to many other astrophysics research topics. IRSA ...

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• Notebook Tutorials by Caltech/IPAC-IRSA

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Spitzer Enhanced Imaging Products (SEIP) Super Mosaics

astronomyimagingsatellite imagerysurvey

Spitzer was an infrared astronomy space telescope with imaging from 3 to 160 microns and spectroscopy from 5 to 37 microns, launched into an Earth-trailing solar orbit as the last of NASA's Great Observatories. The SEIP Super Mosaics include data from the four channels of IRAC (3.6, 4.5, 5.8, 8 microns) and the 24 micron channel of MIPS. Data from multiple programs are combined where appropriate. Cryogenic Release v3.0 includes Spitzer data taken during commissioning and cryogenic operations, including calibration data.

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• Notebook Tutorials by Caltech/IPAC-IRSA

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Unblurred Coadds of the Wide-field Infrared Survey Explorer (unWISE)

astronomyobject detectionparquetsurvey

unWISE is a reprocessing of Wide-field Infrared Survey Explorer (WISE) data which preserves the native angular resolution and is optimized for forced photometry. WISE was a NASA satellite producing all-sky imaging in four infrared bands centered at 3.4, 4.6, 12 and 22 microns (W1, W2, W3, and W4) starting in 2010 until the coolant was exhausted in 2011. It was reactivated in 2013 as NEOWISE and continued imaging in W1 and W2 until 2024.

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• Notebook Tutorials by Caltech/IPAC-IRSA

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MISR Level 1B2 Ellipsoid Data V004

atmosphereclimatecyclone typhoon hurricanedatacenterearth observationgloballandopendaporbit

MI1B2E_004 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1B2 Ellipsoid Data Version 4 product. It contains Ellipsoid-projected Top-of-Atmosphere (TOA) Radiance, resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22. Data collection for this product is ongoing.MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The...

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NASA 1993_AN_NASA Project

elevationice

This data set contains spot elevation measurements of Arctic, Greenland, Antarctic, and Patagonia sea ice and ice surface acquired using the NASA Airborne Topographic Mapper (ATM) instrumentation....

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NASA 1993_GR_NASA Project

elevationiceradar

This data set contains depth sounder measurements of ice elevation, ice surface, ice bottom, and ice thickness over Greenland and Antarctica, acquired by the Multichannel Coherent Radar Depth Sounder (MCoRDS)....

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NASA 2007_GR_NASA Project

elevationicelidar

This data set contains surface elevation data over Greenland measured by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter....

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NASA 2008_AN_UTIG Project

climateelevationiceradar

This data set contains vertical acceleration values for Antarctica using the BGM-3 Gravimeter. The data were collected by scientists working on the International Collaborative Exploration of the Cryosphere through Airborne Profiling (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC) with additional support from NASA Operation IceBridge....

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NASA 2009_AK_NASA Project

elevationicelidar

This data set represents a collection of orthorectified images that were created using the NASA Ames Stereo Pipeline. The final images were obtained by processing stereo images from the IceBridge DMS L0 Raw Imagery data set, along with NASA's Land, Vegetation, and Ice Sensor (LVIS) and Airborne Topographic Mapper (ATM) lidar data from the IceBridge LVIS L2 Geolocated Surface Elevation Product and IceBridge ATM L1B Elevation and Return Strength data sets, respectively. The closely related data set IceBridge DMS L3 Ames Stereo Pipeline Photogrammetric DEM provides the corresponding digital e...

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NASA 2009_AK_UAF Project

icelidar

This data set contains flight reports from NASA Operation IceBridge Greenland, Arctic, Antarctic, and Alaska missions. Flight reports contain information on region, mission, aircraft model, flight data, purpose of flight, and on-board sensors. The flight reports were collected as part of Operation IceBridge funded aircraft survey campaigns. The corresponding flight lines can be found in the IceBridge L1B Thinned Flight Lines (IPFLT1B) data set....

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NASA 2009_AN_CRESIS Project

elevationiceradar

This data set contains depth sounder measurements of ice elevation, ice surface, ice bottom, and ice thickness for Greenland and Antarctica taken from the Multichannel Coherent Radar Depth Sounder (MCoRDS). The data were collected as part of Operation IceBridge funded aircraft survey campaigns....

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NASA 2009_AN_NASA Project

earth observationelevationicelidarradar

This data set contains radar echograms taken over Greenland and Antarctica using the Center for Remote Sensing of Ice Sheets (CReSIS) Accumulation Radar instrument. The data were collected as part of Operation IceBridge funded campaigns....

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NASA 2009_GR_NASA Project

iceradar

This data set contains contains Greenland ice thickness measurements acquired using the Pathfinder Advanced Radar Ice Sounder (PARIS). The data were collected as part of Operation IceBridge funded campaigns....

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NASA 2010_AN_NASA Project

earth observationelevationiceradar

This data set contains Level-3 tomographic ice thickness measurements and ice thickness errors over areas of Greenland and Antarctica. Two of the data files additionally provide bed elevation measurements. The data were derived from measurements taken by the Center for Remote Sensing of Ice Sheets (CReSIS) Multichannel Coherent Radar Depth Sounder (MCoRDS) instrument and were collected as part of NASA Operation IceBridge funded campaigns....

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NASA 2010_AN_UTIG Project

climateelevationicelidar

This data set contains geolocated surface elevation measurements captured over Antarctica using the Sigma Space Mapping Photon Counting Lidar and Riegl Laser Altimeter. The data were collected by scientists working on the International Collaborative Exploration of the Cryosphere through Airborne Profiling (ICECAP) project, which was funded by the National Science Foundation (NSF), the Antarctic Climate and Ecosystems Collaborative Research Center, and the Natural Environment Research Council (NERC) with additional support from NASA Operation IceBridge....

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NASA 2010_GR_NASA Project

elevationice

This data set contains reprocessed images depicting labels that indicate the sea ice surface category, created by processing IceBridge DMS L0 Raw Imagery with the Open Source Sea-ice Processing Algorithm. The images are provided as TIFF files (.tif). Additional metadata are provided as CSV text files (.csv), which are available as a single zip file named RDSISC4_metadata.zip. An orthorectified version of this data set is available as IceBridge-Related DMS-Derived L4 Sea Ice Surface Cover Classification Orthorectified Images....

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NASA 2011_AN_NASA Project

elevationice

This data set contains surface temperature measurements of Arctic and Antarctic sea ice and land ice acquired by the Heitronics KT19.85 Series II Infrared Radiation Pyrometer. The instrument is operated by the Wallops Flight Facility (WFF) as part of the ATM instrument suite. The data were collected as part of the Operation IceBridge funded survey campaigns....

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NASA 2011_AN_UTIG Project

climateelevationicelidar

This data set contains geolocated photon elevations captured over Antarctica using the Sigma Space photon counting lidar. The data were collected by scientists working on the International Collaborative Exploration of the Cryosphere through Airborne Profiling (ICECAP) project, which was funded by the National Science Foundation (NSF), the Antarctic Climate and Ecosystems Collaborative Research Center, and the Natural Environment Research Council (NERC) with additional support from NASA Operation IceBridge....

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NASA 2012_AN_NASA Project

earth observationiceradar

This data set contains radar echograms taken from the Center for Remote Sensing of Ice Sheets (CReSIS) ultra Multichannel Coherent Radar Depth Sounder (MCoRDS) over land and sea ice in the Arctic and Antarctic....

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NASA 2012_AN_UTIG Project

ice

This data set contains vertical acceleration values for Antarctica using the CMG 1A dynamic gravity meter. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC) with additional support from NASA Operation IceBridge....

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NASA 2012_GR_GBMF Project

This data set contains Greenland and Antarctica gravity measurements taken from the Sander Geophysics AIRGrav airborne gravity system....

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NASA 2013_AK_UAF Project

elevationicelidarradar

This data set contains radar echograms acquired by the University of Alaska Fairbanks High-Frequency Radar Sounder over select glaciers in Alaska....

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NASA 2013_AN_NASA Project

elevationicelidar

This data set contains spot elevation measurements of Arctic and Antarctic sea ice, and Greenland, Antarctic Peninsula, and West Antarctic region ice surface acquired using the NASA Airborne Topographic Mapper (ATM) instrumentation. The data were collected as part of Operation IceBridge funded aircraft survey campaigns....

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NASA 2015_AK_UAF Project

elevationicelidarradar

This data set contains radar echograms acquired by the Arizona Radio-Echo Sounder (ARES) over select glaciers in Alaska....

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NASA 2015_AN_NASA Project

icelidar

This data set contains geotagged images captured by NASA Digital Mapping Cameras, which were mounted alongside the Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter....

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NASA 2017_AN_NASA Project

elevationice

This data set contains spot elevation measurements with corresponding waveforms of Arctic and Antarctic sea ice, and Greenland, Antarctic Peninsula, and West Antarctic region ice surface acquired using the NASA Airborne Topographic Mapper (ATM) instrumentation. The data were collected as part of Operation IceBridge funded aircraft survey campaigns....

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NASA 2017_GR_NASA Project

elevationicelidar

This data set contains gravity measurements taken over Greenland and Antarctica by the Lamont-Doherty Earth Observatory (LDEO) Gravimeter Suite. The data were collected as part of Operation IceBridge funded campaigns....

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NASA 2018_AN_NASA Project

elevationicelidar

This data set contains geolocated waveforms of Greenland, Arctic, and Antarctic sea ice measured by the Airborne Topographic Mapper (ATM) near-infrared (NIR) lidar. The data complement, and are intended to be used with, the IceBridge Narrow Swath ATM L1B Elevation and Return Strength with Waveforms data, which are measured at green wavelength. The data were acquired as part of aircraft survey campaigns funded by Operation IceBridge....

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NASA ABLE-2 Project

carbonlidar

ABLE-2A_Aerosol_AircraftInSitu_Electra_Data is the in-situ aerosol data collected onboard the NASA Electra aircraft during the Amazon Boundary Layer Experiment - 2A (ABLE-2A) suborbital campaign. Data collection for this product is complete. From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Amazon Boundary Layer Experiment (ABLE 2) campaigns. ABLE 2 was divided into two sub-campaigns, ABLE 2A (dry season) and ABLE 2B (wet season). ABLE 2A took place from July-August 1985, while ABLE 2B took place from April-...

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NASA ABLE-3 Project

carbonclimatelidar

ABLE-3A_TraceGas_AircraftInSitu_Electra_Data is the in-situ trace gas data collected onboard the NASA Electra aircraft during the Arctic Boundary Layer Expedition - 3A (ABLE-3A) suborbital campaign. Data using grab samples, gas chromatography, and Laser Induced Fluorescence (LIF) are featured in this collection. Data collection for this product is complete. From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those were the Arctic Boundary Layer Expedition (ABLE 3) campaigns. ABLE 3 was broken into two sub-campaigns: ABLE 3A ...

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NASA ABoVE Project

atmospherecarbonclimatecogearth observationelevationgeospatialhydrologyiceland coverlidarnetcdfoceansprecipitationradarsatellite imagerysoil moisturestacweather

This document presents the Concise Experiment Plan for NASA's Arctic-Boreal Vulnerability Experiment (ABoVE) to serve as a guide to the Program as it identifies the research to be conducted under this study. Research for ABoVE will link field-based, process-level studies with geospatial data products derived from airborne and satellite remote sensing, providing a foundation for improving the analysis and modeling capabilities needed to understand and predict ecosystem responses and societal implications. The ABoVE Concise Experiment Plan (ACEP) outlines the conceptual basis for the Field C...

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NASA ACCP Project

carbon

An inventory of NASA's airborne and field campaigns for Earth Science...

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NASA ACRIM III Project

atmosphereclimatesatellite imagery

Launch and mission info for NASA's AcrimSat Earth satellite, which for 14 years monitored solar radiation and its effects on Earth's atmosphere and climate change....

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NASA ACT-America Project

atmospherecarbonearth observationelevationhdfhdf5lidarnetcdfweather

The ACT-America Campaign Catalog provides information about the airborne campaigns of the Atmospheric Carbon and Transport (ACT-America) project. ACT-America advanced atmospheric greenhouse gas inversions to a high level of accuracy and precision through new methods and models that improved knowledge of atmospheric transport, prior flux models, and space-based observations. The catalog compiles flight details for the five campaigns conducted during Summer 2016, Winter 2017, Fall 2017, Spring 2018, and Summer 2019 (2016-05-27 to 2019-07-26) across three regions of the eastern and central United...

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NASA AEHYP Project

climateearth observation

The Airborne Hyperspectral Reflectance Indian Cave Nebraska Multi-Day (AEHYPICNE1M) data are from the Indian Cave Forest Global Earth Observatory (ForestGeo) plot in Indian Cave State Park in southeastern Nebraska. The data have a spatial resolution of 1 meter (m) and fall in the spectral range of 400-1000 nanometers (nm). The data can be used by researchers in developing new capabilities for the remote sensing of forest diversity and function, as well as a global biodiversity monitoring system. The Indian Cave ForestGeo plot airborne data were collected on September 6, 2019, and August 4, 202...

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NASA AQUARIUS SAC-D Project

iceoceanssatellite imagery

The version 5.0 Aquarius CAP Level 2 product contains the fourth release of the AQUARIUS/SAC-D orbital/swath data based on the Combined Active Passive (CAP) algorithm. CAP is a P.I. produced dataset developed and provided by JPL. This Level 2 dataset contains sea surface salinity (SSS), wind speed and wind direction data derived from 3 different radiometers and the onboard scatterometer. The CAP algorithm simultaneously retrieves the salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the ...

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NASA ARCSIX Project

atmosphereearth observationicelidarprecipitationradar

An inventory of NASA's airborne and field campaigns for Earth Science...

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NASA ASCENDS Airborne Project

carbonhdflidar

This dataset provides in situ airborne measurements of atmospheric carbon dioxide (CO2) over California and Nevada on February 10-11, 2016. Measurements were taken onboard a DC-8 aircraft during this Active Sensing of CO2 Emissions over Nights, Days and Seasons (ASCENDS) airborne deployment. CO2 was measured with NASA's Atmospheric Vertical Observations of CO2 in the Earth's Troposphere (AVOCET) instrument while over California and Nevada. The objective of this deployment was to assess the performance of the 2016 version of the CO2 Sounder LiDAR. The two flights were flown to compare r...

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NASA ASIA-AQ Project

earth observationlidarsatellite imagery

An inventory of NASA's airborne and field campaigns for Earth Science...

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NASA ASTER GED Project

hdfhdf5icesatellite imagery

The AG1kmB Version 3 dataset was decommissioned as of December 14, 2016. Users are encouraged to use the ASTER Global Emissivity Dataset 1-kilometer AG1km dataset in HDF5. The Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Emissivity Dataset (GED) land surface temperature and emissivity (LST&E) data products are generated using the ASTER Temperature Emissivity Separation (TES) algorithm with a Water Vapor Scaling (WVS) atmospheric correction method using Moderate Resolution Imaging Spectroradiometer (MODIS) MOD07 atmospheric profiles and the MODerate sp...

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NASA ATDD Project

elevationhdficeoceanssatellite imagery

This is a subset of AMSR-E rain rate product along CloudSat field of view track. The goal of the subset is to select and return AMSR-E data that are within -100 km across the CloudSat track. Thus resultant subset swath is 45 pixels cross-track. Apart from that, all efforts are made to preserve the original HDF-EOS formatting of the source full-sized data. The Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) instrument on the NASA EOS Aqua satellite provides global passive microwave measurements of terrestrial, oceanic, and atmospheric variables for the investigation of ...

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NASA ATLAS Project

atmospheresatellite imagery

The Shuttle Solar Backscatter Ultraviolet (SSBUV) Level-2 Ozone data are available for eight space shuttle missions flown between 1989 and 1996. SSBUV, a successor to the SBUV flown on the Nimbus-7 satellite, is nearly identical to the SBUV/2 instruments flying on the NOAA satellites. Data are available in the ASCII AMES text format. Ozone profiles of the upper atmosphere and total column ozone values are available for the following time periods: Flight #1: 1989 October 19, 20, 21. Flight #2: 1990 October 7, 8, 9. Flight #3: 1991 August 3, 4, 5, 6. Flight #4: 1992 March 29, 31. Flight #5: 1993...

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NASA ATOMIC Project

atmospherenetcdfoceans

An inventory of NASA's airborne and field campaigns for Earth Science...

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NASA ATom Project

atmospherecarbonclimateicenetcdfoceansprecipitationsatellite imagery

This dataset provides observations collected during eleven airborne campaigns from 2006–2017 and associated input and output from nine widely used chemical transport models (CTMs). The airborne campaigns include ARCTAS-A, ARCTAS-B, ATom-1 and ATom-2, CalNex, DC3, INTEX-B, KORUS-AQ, MILAGRO, SEAC4RS, and WINTER, and they sampled mainly tropospheric air over the conterminous U.S. and the state of Alaska, Mexico, Canada, Greenland, and South Korea and remote areas over the Arctic, Pacific, Southern, and Atlantic Oceans. The CTMs are the AM4.1, CCSM4, GEOS-5, GEOS-Chem TOMAS, GEOS-Chem v10, ...

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NASA AVIRIS Project

atmospherecarbongeospatialicenetcdf

This dataset provides attributed geospatial and tabular information for identifying and querying flight lines of interest for the Airborne Visible InfraRed Imaging Spectrometer-Classic (AVIRIS-C) and Airborne Visible InfraRed Imaging Spectrometer-Next Generation (AVIRIS-NG) Facility Instrument collections. It includes attributed shapefile and GeoJSON files containing polygon representation of individual flights lines for all years and separate KMZ files for each year. These files allow users to visualize and query flight line locations using Geographic Information System (GIS) software. Tables...

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NASA AVISO Project

climatesatellite imagery

This dataset contains absolute dynamic topography (similar to sea level but with respect to the geoid) binned and averaged monthly on 1 degree grids. The coverage is from October 1992 to December 2010. These data were provided by AVISO (French space agency data provider) to support the CMIP5 (Coupled Model Intercomparison Project Phase 5) under the World Climate Research Program (WCRP) and was first made available via the JPL Earth System Grid. The dynamic topography are derived from sea surface height measured by several satellites including Envisat, TOPEX/Poseidon, Jason-1 and OSTM/Jason-2, ...

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NASA AVUELO Project

atmospherenetcdfoceans

An inventory of NASA's airborne and field campaigns for Earth Science...

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NASA AfriSAR Project

carbonearth observationelevationicelidarradar

This data set contains geotagged images collected over Gabon, Africa. The images were taken by the NASA Digital Mapping Camera paired with the Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of a NASA campaign, in collaboration with the European Space Agency (ESA) mission AfriSAR....

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NASA AirMOSS Project

carbonprecipitationradarsoil moisture

This dataset provides in situ measurements of soil temperature, moisture, conductivity, measured diameter of tree at breast height (DBH) and total height collected at the Harvard Forest, Petersham, Massachusetts, USA, during October 2012 and July - August 2013. These measurements were collected in support of the Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) project to validate root-zone soil measurements and carbon flux model estimates....

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NASA Applications Technology Satellite Project

satellite imagery

GVHRRATS6IMIR is the Geosynchronous Very High Resolution Radiometer (GVHRR) Black and White Infrared Images on 70mm Film data product from the sixth Applications Technology Satellite (ATS-6). This set of IR imagery (10.5 to 12.5 micrometer, with an 11 km footprint at the sub-satellite point) was originally produced on commercial image-generation equipment from digital tapes and was made available on 70-mm film, from which they were later scanned to digital TIFF image files. Each TIFF scan contains 2 or 3 pictures, and there are several hundred scans from an original 70 mm film roll which are c...

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NASA Aqua Project

atmospherecarbonclimateearth observationelevationhdficeland covernetcdfoceansprecipitationsatellite imagerysoil moistureweather

AIRS is a facility instrument whose goal is to support climate research and improve weather forecasting Launched into Earth-orbit on May 4, 2002, the Atmospheric Infrared Sounder, AIRS, moves climate research and weather prediction into the 21st century....

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NASA Aura Project

atmospherecarbonclimateelevationhdfhdf5iceland covernetcdfsatellite imagery

Aura (Latin for breeze) obtains measurements of ozone, aerosols and key gases throughout the atmosphere....

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NASA BOREAS Project

atmospherecarbonclimateearth observationhydrologyiceland coverlidaroceansprecipitationradarsatellite imagerysoil moistureweather

An inventory of NASA's airborne and field campaigns for Earth Science...

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NASA BigFoot Project

carbonearth observationland coversatellite imagery

The BigFoot project gathered field data for selected EOS Land Validation Sites in North America from 1999 to 2003. Data collected and derived for varying intervals at the BigFoot sites and archived with this data set include FPAR, nitrogen content, allometry equations, root biomass, LAI, tree biomass, soil respiration, NPP, landcover images, and vegetation inventories.Each site is representative of one or two distinct biomes, including the Arctic tundra; boreal evergreen needleleaf forest; temperate cropland, grassland, and deciduous broadleaf forest; desert grassland and shrubland. The project co...

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NASA BioSCape Project

elevationiceland coverlidarnetcdfsatellite imagery

BioSCape...

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NASA Biodiversity Project

elevationland coversatellite imagery

This dataset contains vegetation canopy metrics for the Greater Kruger National Park region of South Africa for 2007-2010 and 2015-2024. Metrics include relative height 98th percentile (RH98), fractional canopy cover, and foliage height diversity. This dataset contains vegetation canopy metrics for the Greater Kruger National Park region of South Africa. Metrics include relative height 98th percentile (RH98), fractional canopy cover, and foliage height diversity. They were derived by modeling a sample of Global Ecosystem Dynamics Investigation (GEDI) Level 2A Elevation and Height Metrics and L...

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NASA CALIPSO Project

atmosphereclimateearth observationhdficelidarnetcdfsatellite imageryweather

Earth Orbiter...

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NASA CAR Project

atmospherecarbonclimateearth observationiceoceanssatellite imageryweather

CAR will fly in 2022-2025 for the NASA’s Student Airborne Science Activation (SaSa) project. GSFC scientists and engineers will operate CAR together with...

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NASA CARAFE Project

carbon

An inventory of NASA's airborne and field campaigns for Earth Science...

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NASA CARVE Project

atmospherecarbonelevationicenetcdfsatellite imageryweather

An inventory of NASA's airborne and field campaigns for Earth Science...

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NASA CERES Project

atmosphereclimateelevationhdficenetcdfoceanssatellite imagery

CER_BDS_Terra-FM2_Edition4 is the Clouds and the Earth's Radiant Energy System (CERES) Bidirectional Scans (BDS) Terra Flight Model 2 (FM2) Edition 4 data product, which is collected using the CERES-FM2 instrument on the Terra platform. CER_BDS_Terra-FM2_Edition4 includes geolocated and calibrated Top of the Atmosphere (TOA) filtered radiances and other instrument data. Data collection for this product is ongoing. Each CERES BDS data product contains twenty-four hours of Level-1B data for each CERES scanner instrument mounted on each spacecraft. BDS includes samples of normal and short Ear...

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NASA CIOSS Project

The Gridded Altimeter Fields with Enhanced Coastal Coverage data product contains Sea Surface Height Anomalies (SSHA or SLA) and zonal and meridional geostrophic velocities for the US west coast encompassing 35.25 deg-48.5 deg N latitude and 227.75 deg-248.5 deg E longitude. This annually updated data product extends from October 14, 1992 through November 4, 2009. SSHA and current velocities are derived from the AVISO quarter degree DT UPD MSLA version 3.0 grids, 0.75 deg and greater away from the coast. Values within 0.75 deg of the coast are derived from tide gauge observations and interpola...

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NASA CITE-2 Project

oceans

CITE-2_Aerosol_AircraftInSitu_Electra_Data is the in-situ trace gas data collected onboard the NASA Electra aircraft Chemical Instrumentation Test and Evaluation - 2 (CITE-2) suborbital campaign. Data using forward scattering spectrometers are featured in this collection. Data collection for this product is complete. During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) to develop advanced instrumentation to measure critical atmospheric trace gases and quantify their sources, sinks, and distribution. Among those were the CITE mis...

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NASA CITE-3 Project

atmospherecarbonoceans

CITE-3_Aerosol_AircraftInSitu_Electra_Data is the in-situ trace gas data collected onboard the NASA Electra aircraft Chemical Instrumentation Test and Evaluation - 3 (CITE-3) suborbital campaign. Data using chemiluminescence are featured in this collection. Data collection for this product is complete. During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) to develop advanced instrumentation to measure critical atmospheric trace gases and quantify their sources, sinks, and distribution. Among those were the Chemical Instrumentatio...

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NASA CLASIC07 Project

land coverradarsatellite imagery

An inventory of NASA's airborne and field campaigns for Earth Science...

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NASA CMS Project

atmospherecarbonclimatecogearth observationelevationgeospatialhydrologyiceland coverlidarnetcdfoceansprecipitationradarsatellite imagerysoil moistureweather

This dataset provides gridded estimates of aboveground biomass (AGB) for live dry woody vegetation density in the form of both stock for the baseline year 2003 and annual change in stock from 2003 to 2016. Data are at a spatial resolution of approximately 500 m (463.31 m; 21.47 ha) for three geographies: the biogeographical limit of the Amazon Basin, the country of Mexico, and a Pantropical belt from 40 degrees North to 30 degrees South latitudes. Estimates were derived from a multi-step modeling approach that combined field measurements with co-located LiDAR data from NASA ICESat Geoscience L...

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NASA COMEX Project

hdfoceanssatellite imagery

An inventory of NASA's airborne and field campaigns for Earth Science...

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NASA COWVR-TEMPEST/STP-H8 Project

hdfhdf5oceanssatellite imagery

This data set includes satellite-based observations of calibrated, geo-located antenna temperature and brightness temperatures, along with the sensor telemetry used to derive those values. Brightness temperatures are derived from the microwave band frequencies 18.7 GHz, 23.8 GHz, and 34.5 GHz. This product is best suited for a cal/val user or sensor expert. These level 1c measurements make up the temperature sensor data record (TSDR) from the COWVR (Compact Ocean Wind Vector Radiometer) sensor aboard the international space station (ISS), starting in January 2022 forward-streaming to PO.DAAC till ...

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NASA CSDA Project

geospatialicesatellite imagery

The GeoEye-1 Level 1B Multispectral 4-Band L1B Satellite Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the GeoEye-1 satellite using the GeoEye-1 Imaging System across the global land surface from September 2008 to the present. This satellite imagery is in the visible and near-infrared waveband range with data in the blue, green, red, and near-infrared wavelengths. The imagery has a spatial resolution of 1.84m at nadir (1.65m before summer 2013) a...

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NASA CWIC Project

oceansprecipitationsatellite imagery

The The MODIS Near Real Time (NRT) product, MOD09Q1N provides Band 1 and 2 data at 250 meter resolution in a daily rolling 8-day gridded level-3 product in the Sinusoidal projection. Each MOD09Q1N pixel contains the best possible L2G observation during an 8-day period as selected on the basis of high observation coverage low view angle the absence of clouds or cloud shadow and aerosol loading. Science Data Sets provided for this product include reflectance values for Bands 1 and 2 and a quality rating....

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NASA CYGNSS Project

atmosphereclimateicenetcdfoceansprecipitationradarsatellite imagerysoil moistureweather

This dataset contains the version 1.0 CYGNSS level 3 ocean microplastic concentration data record, which provides 18 netCDF files, each containing one month of daily gridded maps of microplastic number density (#/km^2). Microplastic concentration number density is indirectly estimated by an empirical relationship between ocean surface roughness and wind speed (Evans and Ruf, 2021). User caution is advised in regions containing independent, non-correlative factors affecting ocean surface roughness, such as anomalous atmospheric conditions within the Intertropical Convergence Zone, biogenic surf...

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NASA Climate Project

atmospherecarbonclimateearth observationicenetcdfprecipitationsatellite imageryweather

This dataset provides two 30-year climate normal data products for conditions during the last glacial maximum (LGM; ~18,000 years ago) and a modern time period (1975-2005) for the entire state of Alaska. The first set of products are monthly climate variable averages at 60 m resolution, including: minimum, maximum, and average temperatures, total precipitation, total surface radiation, rain, snow, potential evapotranspiration (PET), actual evapotranspiration (AET), and water deficit. The second set of products are annual summary climate variable averages for the same variables (excepting avera...

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NASA DIS Project

atmosphereclimategeospatialiceoceans

The ORNL DAAC Spatial Data Access Tool (SDAT) is a suite of Web-based applications that enable users to visualize and download spatial data in user-selected spatial/temporal extents, file formats, and projections. SDAT incorporates Open Geospatial Consortium (OGC) standard Web services, including Web Coverage Service (WCS), Web Map Service (WMS), and Web Feature Service (WFS). The SDAT provides ORNL DAAC-archived data sets and additional relevant data products including agriculture, atmosphere, biosphere, climate indicators, human dimensions, land surface, oceans, terrestrial hydrosphere data ...

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NASA DSCOVR Project

atmosphereclimateearth observationhdfhdf5iceoceanssatellite imageryweather

Deep Space Climate Observatory (DSCOVR) DSCOVR National Institute of Standards and Technology Advanced Radiometer (NISTAR) was explicitly designed to measure the global daytime radiation budget for an entire hemisphere using active cavity radiometers for three channels: total (0.2 - 100 um), SW (0.2 - 4.0 um), and near-infrared (0.7 - 4.0 um). To derive the Earth Radiation Budget (ERB) from NISTAR measurements, the Short Wave (SW) radiances need to be unfiltered first before they can be subtracted from the total to yield the Long Wave (LW) (4 - 100 um) radiances. Additionally, the Earth's ...

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NASA Daymet Project

climateicenetcdfprecipitationweather

This dataset provides annual climate summaries derived from Daymet Version 4 R1 daily data at a 1 km x 1 km spatial resolution for five Daymet variables: minimum and maximum temperature, precipitation, vapor pressure, and snow water equivalent. Annual averages are provided for minimum and maximum temperature, vapor pressure, and snow water equivalent, and annual totals are provided for the precipitation variable. Each data file is provided as a single year by variable and covers the same period of record as the Daymet V4 R1 daily data. The annual climatology files are derived from the larger d...

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NASA Delta-X Project

atmospherecarboncogearth observationelevationiceland coverlidarnetcdfoceansradarsatellite imagerystacweather

This dataset contains estimates of forest aboveground biomass (AGB) across the Atchafalaya and Terrebonne Basins, Louisiana, US. AGB was derived from AVIRIS-NG surface reflectance and UAVSAR products. L2B BRDF-adjusted surface reflectance was produced after applying atmospheric correction to L2 Hemispherical-Directional surface reflectance from NASA's AVIRIS-NG instrument. A polarimetric decomposition of the UAVSAR Level 1 (L1) Single Look Complex (SLC) stack product was used. To estimate AGB, local pixel reflectance spectra and radar scattering component pixels coincident with in situ for...

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NASA ECCO Project

atmosphereclimateiceoceanssatellite imagery

This dataset provides ancillary data for the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate, and is intended for expert users to reproduce the state estimate. The ancillary data include documentation files, files required to initialize the model, forcing fields, binary input grid files, observational data used to constrain the model, model equivalent of observed profiles, files related to atmospheric flux-forced experiments, and some script files. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are dynamically and kinematically-consistent reconstruc...

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NASA ECOSTRESS Project

atmospherecarbonearth observationiceland coversatellite imagery

The ECO1BRAD Version 1 data product was decommissioned on May 21, 2025. Users are encouraged to use the ECO_L1CT_RAD Version 2 and ECO_L1CG_RAD Version 2 data products. The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52 degrees N and 52 degrees S latitudes. . The ECO1BRAD Version 1 data product provides at-sensor calibrated radiance values retri...

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NASA EMIT Project

carboncogelevationnetcdfradar

The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth’s arid dust source regions. EMIT is installed on the International Space Station (ISS) and uses imaging spectroscopy to take mineralogical measurements of sunlit regions of interest between 52° N latitude and 52° S latitude. An interactive map showing the regions being investigated, current and forecasted data coverage, and additional data resources can be found on the VSWIR Imaging Spectroscopy Interface for Open Science (VISIONS) EMIT Open Data Portal. The EMIT Level 1B At-S...

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NASA EOS LAND VAL Project

atmospherecarbonclimateearth observationiceland covernetcdfradarsatellite imagerysoil moisture

This data set provides field measurements of diameter, tree height, and crown dimensions for 1,513 trees in 30 plots at the La Selva Biological Station in Costa Rica. Fourteen of these plots were in undisturbed primary forest, six were in primary forest which had been selectively logged, seven were secondary forests, and three were abandoned pastures reverting to forest. The diameter and height data were used to calculate aboveground biomass for each of the 30 plots. The crown measurements were used to estimate a vertical profile for each plot, showing the vegetation volume in 1 meter incremen...

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NASA EOS Project

atmosphereearth observationoceanssatellite imagery

AM1EPHNE is the Terra Near Real Time (NRT) 2-hour spacecraft Extrapolated ephemeris data file in native format. The file name format is the following: AM1EPHNE.Ayyyyddd.hhmm.vvv.yyyydddhhmmss where from left to right: E = Extrapolated; N = Native format; A = AM1 (Terra); yyyy = data year, ddd = Julian data day, hh = data hour, mm = data minute; vvv = Version ID; yyyy = production year, ddd = Julian production day, hh = production hour, mm = production minute, and ss = production second. Data set information:http://modis.gsfc.nasa.gov/sci_team/...

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NASA EOSDIS Project

atmospherenetcdfsatellite imagery

This is the version 3 Atmospheric Trace Molecule Spectroscopy (ATMOS) Level 1 product containing spectra and runlog (i.e. ) information in a netCDF format. ATMOS is an infrared spectrometer (a Fourier transform interferometer) designed to derive vertical concentrations of various trace gases in the atmosphere, particularly the ozone depleting chlorine and fluorine based molecules. The transmission spectra are ratioed from ATMOS high sun observations, on a scale of 0 to 1. Data files also include time, geolocation and other information. The data were collected during four space shuttle missions...

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NASA ESDIS Project

carbon

This is a global simulation of black carbon (BC) aerosol concentrations and daily deposition (wet+dry) from the FLEX-ible PARTicle (FLEXPART) Lagrangian particle dispersion model version 10.4. The FLEXPART model code are open source and freely available....

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NASA FIFE Project

atmospherecarbonclimateearth observationelevationhydrologyicelidaroceansprecipitationradarsatellite imagerysoil moisturestacweather

An inventory of NASA's airborne and field campaigns for Earth Science...

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NASA FLASHFLUX Project

atmosphereclimatehdfsatellite imagery

FLASH_SSF_Aqua-FM3-MODIS_Version4A is the Fast Longwave And Shortwave Radiative Fluxes (FLASHFlux) Clouds and Radiative Swath (SSF) Aqua-FM3-MODIS data in HDF Version 4A data product. This product consists of Low latency (< 5 days from observation) Top-of-Atmosphere (TOA) fluxes and parameterized surface radiative fluxes at Clouds and the Earth's Radiant Energy System (CERES) Single Scanner Footprint (SSF) level for quick-look purposes. Data collection for this product is in progress. FLASHFlux data are a product line of the CERES project designed to process and release TOA and surface ...

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NASA FLDAS Project

climateprecipitationsatellite imagerysoil moisture

This dataset contains a series of land surface parameters simulated from the Noah 3.6.1 model in the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS), adapted from Land Information System (LIS7). The dataset contains 28 parameters in a 0.10 degree spatial resolution and from January 2019 to present. The temporal resolution is monthly and the spatial coverage is global (60S, 180W, 90N, 180E). The simulation was forced by a combination of the Global Data Assimilation System (GDAS) data and Climate Hazards Group InfraRed Precipitation with Station Preliminary ...

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NASA Fluxnet Project

atmospherecarbonclimatesoil moisture

CO2 and water vapor fluxes and ecosystem characteristics were measured at 24 sites along a 317-km transect from the Arctic coast to the latitudinal treeline in Alaska during the growing seasons of 1994-1996. The sites were stratified to sample the ranges of climate, physiography, soil moisture, and vegetation type within the region. Our main objective was to understand what factors control variations in CO2 and water vapor exchange across the region. We therefore developed a spatially extensive approach of documenting fluxes for 1-2 weeks at each of the sites in order to study as many sites as...

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NASA G-LiHT Project

climateelevationlidar

Goddard’s LiDAR, Hyperspectral, and Thermal Imager (G-LiHT) mission is a portable, airborne imaging system that aims to simultaneously map the composition, structure, and function of terrestrial ecosystems. G-LiHT primarily focuses on a broad diversity of forest communities and ecoregions in North America, mapping aerial swaths over the Conterminous United States (CONUS), Alaska, Puerto Rico, and Mexico. The purpose of G-LiHT’s Aerial Orthomosaic data product (GLORTHO) is to provide orthorectified high-resolution aerial photography. This data is provided as a supplement to other G-LiHT data pr...

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NASA GCOM-W Project

earth observationsatellite imagerysoil moisture

AMSR2/GCOM-W1 downscaled surface soil moisture (LPRM) L2B V001 is a Level 2 (swath) data set. Its land surface parameters, surface soil moisture, land surface (skin) temperature, and vegetation water content, are derived from passive microwave remote sensing data from the Advanced Microwave Scanning Radiometer 2 (AMSR2), using the Land Parameter Retrieval Model (LPRM). Each swath is packaged with associated geolocation fields. The data set covers the period from May 2012, when the Japan Aerospace Exploration Agency (JAXA) Global Change Observation Mission-1st Water GCOM-W1 satellite was launch...

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NASA GEDI Project

carbonclimateelevationhdfhdf5iceland coverlidarsatellite imagery

GEDI Version 1 data products were decommissioned on February 15, 2022. Users are advised to use the improved GEDI01_B Version 2 data product. The Global Ecosystem Dynamics Investigation (GEDI) mission aims to characterize ecosystem structure and dynamics to enable radically improved quantification and understanding of the Earth’s carbon cycle and biodiversity. The GEDI instrument produces high resolution laser ranging observations of the 3-dimensional structure of the Earth. GEDI is attached to the International Space Station and collects data globally between 51.6 degrees N and 51.6 degrees S...

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NASA GEOS-3 Project

oceanssatellite imagery

These data consist of Geos-3 altimeter measurements produced by NOAA/NODC/Laboratory for Satellite Altimetry. The dataset contains 5,006,956 altimetric sea surface heights and supporting information such as sea state, wind speed, Schwiderski ocean tide height, and Cartwright solid-tide height. Corrections for altimeter bias, wet and dry troposheric delays, and electromagnetic bias are not included. The corrections in this dataset (tides and even orbit height) are old and not very accurate. This dataset should only be used by those with an expertise in altimetry. Measurements are compressed to ...

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NASA GFSAD Project

precipitationsatellite imagery

The Landsat-Derived Global Irrigated-Cropland Product Level 1 2020 (LGRIP30_L1_IRRI) Version 2 data provides high-resolution, 30 meter (m) cropland data to assist and address food and water security issues of the twenty-first century. As an extension of the Global Food Security-support Analysis Data (GFSAD) project, LGRIP_L1_IRRI V2 maps agricultural lands by dividing them into 32 irrigated cropland types and calculates applicable cropland areas across the globe. LGRIP data are produced using Landsat 8 time-series satellite sensor data for the 2019 through 2021 time period to create a nominal ...

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NASA GHISA Project

ice

The Global Hyperspectral Imaging Spectral-library of Agricultural crops (GHISA) is a comprehensive compilation, collation, harmonization, and standardization of hyperspectral signatures of agricultural crops of the world. This hyperspectral library of agricultural crops is developed for all major world crops and was collected by United States Geological Survey (USGS) and partnering volunteer agencies from around the world. Crops include wheat, rice, barley, corn, soybeans, cotton, sugarcane, potatoes, chickpeas, lentils, and pigeon peas, which together occupy about 65% of all global cropland a...

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NASA GHRSST Project

atmosphereclimateearth observationhydrologyicenetcdfoceansprecipitationsatellite imagerysoil moistureweather

CNR MED Sea Surface Temperature provides daily gap-free maps (L4) at 0.0625 deg. x 0.0625 deg. horizontal resolution over the Black Sea. The data are obtained from infra-red measurements collected by satellite radiometers and statistical interpolation. It is the CMEMS sea surface temperature nominal operational product for the Black sea....

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NASA GLDAS Project

icenetcdfoceansprecipitationweather

NASA Global Land Data Assimilation System Version 2 (GLDAS-2) has three components: GLDAS-2.0, GLDAS-2.1, and GLDAS-2.2. GLDAS-2.0 is forced entirely with the Princeton meteorological forcing input data and provides a temporally consistent series from 1948 through 2014. GLDAS-2.1 is forced with a combination of model and observation data from 2000 to present. GLDAS-2.2 product suites use data assimilation (DA), whereas the GLDAS-2.0 and GLDAS-2.1 products are "open-loop" (i.e., no data assimilation). The choice of forcing data, as well as DA observation source, variable, and scheme, ...

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NASA GOES Project

climateearth observationicenetcdfoceanssatellite imagery

The ABI G16 Deep Blue L3 Daily Aerosol Data, 1 x 1 degree grid product, short-name AERDB_D3_ABI_G16, derived from the L2 (AERDB_L2_ABI_G16) input data, each D3 ABI/GOES-16 product is produced daily at 1 x 1-degree horizontal resolution. In general, in this daily L3 (identified in the short-name as D3) aggregated product, each data field represents the arithmetic mean of all cells whose latitude and longitude places them within the bounds of each grid element. Another statistic like standard deviation is also provided in some cases. The final retrievals used in the aggregation process are Quali...

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NASA GPCP Project

climateiceoceansprecipitationsatellite imageryweather

These data are transitioned to a state of permanent preservation. They are available upon request. More advanced datasets have been developed since. One recommended replacement is the GPCP (doi: 10.5067/DBVUO4KQHXTK) product developed under the MEaSUREs project. The Arkin and Janowiak GPI (GOES Precipitation Index) was the infrared-based monthly rainfall estimate produced by the early GPCP (Global Precipitation Climatology Project) algorithms. The infrared observations from geostationary satellites (GOES, GMS, Meteosat) are used to produce these monthly mean rainfall totals on a 2.5 deg by 2.5...

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NASA GPM Project

atmosphereclimateearth observationicenetcdfoceansprecipitationradarsatellite imageryweather

Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07. The 'CLIM' products differ from their 'regular' counterparts (without the 'CLIM' in the name) by the ancillary data they use. They are Climate-Reference products, which requires homogeneous ancillary data over the climate time series. Hence, the ECMWF-Interim (European Centre for Medium-Range Weather Forecasts, 2-3 months lag behind the regular production) reanalysis is used as ancillary data to derive surface and atmospheric conditions r...

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NASA GRACE Project

atmosphereclimatehydrologyicenetcdfoceanssatellite imagerysoil moisture

The monthly land mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (de...

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NASA GRACE-DA-DM Project

netcdfsatellite imagerysoil moisture

Scientists at NASA Goddard Space Flight Center generate groundwater and soil moisture drought indicators each week. They are based on terrestrial water storage observations derived from GRACE satellite data and integrated with other observations, using a sophisticated numerical model of land surface water and energy processes. This data product is GRACE Data Assimilation for Drought Monitoring (GRACE-DA-DM) U.S. Version 4.0 data product and supersedes the GRACE-DA-DM Version 2.0. The GRACE-DA-DM U.S. V4.0 is based on the Catchment Land Surface Model (CLSM) Fortuna 2.5 version simulation that w...

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NASA GRACE-FO Project

atmosphereclimateicenetcdfoceanssatellite imagerysoil moisture

This data set is produced by the Center for Space Research (CSR) GRACE-FO (Gravity Recovery and Climate Experiment Follow-On) program and derives the terrestrial water storage anomaly given as equivalent water thickness. These monthly grids are derived from GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. This quantity represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjus...

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NASA GSESA Project

satellite imagery

The Global Surface Emissivity Spectral Atlas (GSESA) database contains global, monthly climatology infrared emissivity functional Empirical Orthogonal Function (EOF) scores in 0.25 x 0.25 latitude-longitude resolution. An eigenvector file and a reader file allow customers to produce emissivity spectra. The emissivity functional EOF scores were developed using the Infrared Atmospheric Sounding Interferometer (IASI) instrument on the METOP-A, METOP-B, and METOP-C satellites for the period 2007-07-01 to 2025-01-31. An inversion scheme, dealing with cloudy as well as cloud-free radiances observed ...

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NASA HAQAST Project

atmospherecarbonclimatenetcdfoceanssatellite imagery

Our mission is to put the power of NASA’s satellites down to earth and in your hands. HAQAST is a collaborative team that works in partnership with public health and air quality agencies to use NASA data and tools for the public benefit. Here, you can learn about our team, partnerships, and newsworthy achievements. You…...

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NASA HLS Project

atmospherecogelevationgeospatialicesatellite imagerystac

The HLSL30 V1.5 data product was decommissioned on January 4, 2022. Users are encouraged to use the improved HLSL30 V2 data product. The Harmonized Landsat Sentinel-2 (HLS) project provides consistent surface reflectance (SR) and top of atmosphere (TOA) brightness data from the Operational Land Imager (OLI) aboard the joint NASA/USGS Landsat 8 satellite and the Multi-Spectral Instrument (MSI) aboard Europe’s Copernicus Sentinel-2A and Sentinel-2B satellites. The combined measurement enables global observations of the land every 2–3 days at 30-meter (m) spatial resolution. The HLS project uses a set of algorithms to obtain seamless products from OLI and MSI that include at...

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NASA HRAC Project

elevationprecipitationsatellite imagery

This is a dataset that enhances the TMPA monthly product (3B43) in its accuracy and spatial resolution, in hydrometeorological applications. About 9,200 gauge measurement are used to compare with the 3B43 product at 0.25° x 0.25° spatial resolution across the CONUS. Observed is a strong relationship between the bias and land surface elevation, in which 3B43 underestimates the true precipitation at the elevations above 1,500 m amsl. Satellite data is resampled to elevation data at ~1km grid size and applied a correction function to reduce bias in the data. Accordingly, a High-Resolution Altitud...

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NASA HWHYP Project

The Headwall Hyperspectral Reflectance data are for the Long-Term Ecological Research (LTER) at Cedar Creek Ecosystem Science Reserve (CCESR), Minnesota (HWHYPCCMN1MM). The reflectance products are at 1 millimeter (mm) spatial resolution in the 400 to 1,000 nanometer spectral range. This dataset can be used to understand the optical diversity-biodiversity relationship and investigate the spatial sensitivity of the relationship at local scales. A Headwall Series E imaging spectrometer was mounted on a tram system to collect designated plots for the biodiversity (BioDIV) experiment at the LTER C...

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NASA Hydroclimatology Project

climateelevationhydrologyicenetcdfprecipitationsatellite imagery

The Global Monthly River Discharge Data Set (RivDIS) contains monthly averaged discharge measurements for 1,018 stations located throughout the world from 1807-1991. The period of record varies widely from station to station with a mean of 21.5 years. The data are derived from the published UNESCO archives for river discharge, and checked against information obtained from the Global Runoff Center in Koblenz, Germany through the U.S. National Geophysical Data Center in Boulder, Colorado....

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NASA INTEXB Project

climatesatellite imagery

INTEX-NA is a two phase experiment that aims to understand the transport and transformation of gases and aerosols on transcontinental/intercontinental scales and assess their impact on air quality and climate. The primary constituents of interest are ozone and precursors, aerosols and precursors, and the long-lived greenhouse gases. The first phase (INTEX-A) was completed in the summer of 2004 and the second phase (INTEX-B) is to be performed in the spring of 2006. This document is intended to provide an update on the goals of INTEX-B and define its implementation strategy. The scientific goal...

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NASA ISLSCP II Project

atmospherecarbonclimateelevationhydrologyiceland coveroceansprecipitationsatellite imageryweather

This data set contains the calculated net ocean-air carbon dioxide (CO2) flux and sea-air CO2 partial pressure (pCO2) difference. The estimates are based on approximately one million measurements made for the pCO2 in surface waters of the global ocean since the International Geophysical Year, 1956-1959. Only the ocean water pCO2 values measured using direct gas-seawater equilibration methods were used. The results represent the climatological distributions under non-El Nino conditions. Since the measurements were made in different years, during which the atmospheric pCO2 was increasing, they w...

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NASA ISS_RapidScat Project

climateearth observationhdficenetcdfoceansradar

This dataset contains the ISS-RapidScat Version 2.0 Level 1B geo-located Sigma-0 measurements and antenna pulse "egg" and "slice" geometries as derived from ephemeris and the Level 1A dataset. The pulse "egg" represents the complete footprint of the pulse, which has a spatial geometry of approximately 25 km by 35 km. There are 8 slices that constitute the range-binned components of a pulse each of which has a spatial geometry of approximately 25 km by 7 km. The orientation of the long dimension of the slices varies with the rotation of the antenna and thus does not align with the along/across track orientation of the wind vector grid in...

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NASA JASON-1 Project

icenetcdfoceansradarsatellite imagery

The enhanced Jason-1 Microwave Radiometer (JMR) corrections contains better wet tropospheric path delay corrections along with better land, rain and ice flagging for coastal regions than that found in the Jason-1 Geophysical Data Records (GDR). The enhanced corrections can be used in place of the GDR wet troposphere correction to provide more accurate Sea Surface Height Anomalies for coastal regions....

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NASA JASON-3 Project

climatesatellite imagery

This is a near real time dataset that provides a GPS based orbit and Sea Surface Height Anomalies (SSHA) from that orbit. It is similar to the Jason-3 Operation Geophysical Data Record (OGDR) that is distributed at NOAA (http://www.nodc.noaa.gov/sog/jason/), but includes the GPS orbit and SSHA as two additional variables. It has a 5 hour time lag due to the time needed to calculate the GPS orbit and SSHA. The GPS orbits have been shown to be more accurate than the DORIS orbits on a near real time scale and therefore produces a more accurate SSHA.
Forward stream transitioned from processing bas...

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NASA JPSS Project

atmospherecarbonclimateearth observationelevationhdfhdf5iceoceanssatellite imageryweather

This High-Resolution (0.1 x 0.1 degree) Level 3 daily Aerosol Optical Depth (AOD) product is generated by combining two Visible Infrared Imaging Radiometer Suite (VIIRS) operational algorithms, namely Deep Blue (DB) and Dark Target (DT), on board the NOAA-20 satellite. This dataset is provided in daily files ranging from 2018-02-17 to the present. The spatial coverage is global and the dataset is gridded at 0.1 x 0.1 degree spatial resolution. The data are generated using Level 2 AOD retrieved using DT and DB algorithms. The product provides multiple options for using data either from DT or DB...

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NASA LANCE Project

icesatellite imagerysoil moisture

ATL13QL is the quick look version of ATL13 and is based on the same algorithms that generate the ATL13 final data products. Once final ATL13 files are available, the corresponding ATL13QL files are removed. ATL13QL provides along-track surface water products for inland water bodies, defined as lakes, reservoirs, bays, estuaries, rivers, and a 7 km near-shore buffer. Data parameters include surface water height statistics and related parameters including significant wave height, transect slope, subsurface signal attenuation, and shallow water bathymetry. Water surface heights are provided as bo...

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NASA LBA-ECO Project

atmospherecarbonclimatecogearth observationelevationgeospatialhdfhydrologyiceland covernetcdfoceansprecipitationradarsatellite imagerysoil moistureweather

This data set provides measurements from the Amazonian Aerosol Characterization Experiment (AMAZE-08) carried out during the wet season from February 4 to March 21, 2008 in the central Amazon Basin. Aerosol and atmospheric samples and measurements were collected at Tower TT34 located 60 km NNW of downtown Manaus, and at Tower K34, located 1.6 km from the TT34 site. Physical characterization of aerosols included size, mass, and number distributions and light scattering properties. Chemical characterization included mass concentrations of organics, major anions and cations, and trace metals. Aer...

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NASA LPJ Project

carbonclimatecogearth observationsoil moistureweather

Exploring Greenhouse Gas Data; Driving Sustainable Strategies through Powerful Analysis...

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NASA Landslide Project Project

precipitationsatellite imagerysoil moisture

The Landslide Hazard Assessment for Situational Awareness (LHASA) model identifies locations with high potential for landslide occurrence at a daily temporal resolution. LHASA combines satellite‐based precipitation estimates with a landslide susceptibility map derived from information on slope, geology, road networks, fault zones, and forest loss. When rainfall is considered to be extreme and susceptibility values are moderate to very high, a “nowcast” is issued to indicate the times and places where landslides are more probable. Although the model could be run every half hour, this archive co...

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NASA Low-Cost Sensor AQ Project

satellite imagery

Low-Cost-Sensors-AQ_AirQino is the ground site data collected by the AirQino sensor network as part of the Low-Cost Air Quality Sensor Harmonization Database. Data collection for this product is ongoing. The Low-Cost Sensor AQ Harmonization aims to harmonize sensor networks by amalgamating measurements from a multitude of networks into one open access framework. Currently, data from 10 unique US-based sensor networks have been collected for redistribution in the archive. Data from each network is reformatted in a common data format with metadata embedded to streamline data processing. A key fe...

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NASA MASTER Project

climateearth observationhdfhydrologylidaroceansradarsatellite imagery

This dataset includes Level 1B (L1B) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected during 7 flights aboard a DOE B-200 aircraft over Baja California, Mexico, and Nevada, U.S., on 1999-04-23 to 1999-05-05. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 20-meter spatial resolution. The L1B file format is HDF-4. In addition, the dataset includes flight paths, spectral band information, instrument configuration, ancilla...

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NASA MAS_eMAS Project

earth observationhdficesatellite imagery

The Enhanced Moderate Resolution Imaging Spectroradiometer (MODIS) Airborne Simulator (eMAS)instrument is maintained and operated by the Airborne Sensor Facility at NASA Ames Research Center in Mountain View, California, under the oversight of the EOS Project Science Office at NASA Goddard. Prior to 1995, the MAS was deployed on the NASA's ER-2 and C-130 aircraft platforms using a 12-channel, 8-bit data system that somewhat constrained the full benefit of having a 50-channel scanning spectrometer. Beginning in January 1995, a 50-channel, 16-bit digitizer was used on the ER-2 platform, whic...

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NASA MERRA-2 Observation Project

ice

Global Modeling and Assimilation Office Research...

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NASA MERRA-2 Project

atmospherecarboniceoceansprecipitationsatellite imageryweather

Global Modeling and Assimilation Office Research...

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NASA MEaSUREs/HOMaGE Project

icenetcdfoceanssatellite imagery

This data set contains the monthly Global Ocean Mass Anomalies (goma) since 04/2002, as measured by the GRACE and GRACE Follow-On (G/GFO) satellite missions. The data are averaged over the global ocean domain, at monthly intervals (note: data gaps exist). This file contains the goma time series based on the spherical harmonic gravity fields provided by the G/GFO SDS centers: JPL, CSR, GFZ. The data are frequently updated as new monthly observations are acquired by the GFO mission. The processing of the spherical harmonics gravity field coefficients is as follows: (1) GAD + GSM: the monthly de-...

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NASA MEaSUREs/OSWV Project

oceansprecipitationsatellite imagery

This dataset contains model output interpolated in space and time to observations from the MetOp-A ASCAT (ASCAT-A) instrument (a satellite-based scatterometer), representing the first science quality release of these data (post-provisional after v1.0) funded under the MEaAUREs program. These auxiliary fields are included to complement those scatterometer observations, specifically for the ASCATA_ESDR_L2_WIND_STRESS_V1.1 dataset. Model variables include: i) ocean surface wind fields from ERA-5 short-term forecast (removed from the analyses times to reduce impacts from assimilated scatterometer retr...

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NASA MISR Project

atmosphereclimateelevationhdficenetcdfoceans

MIANACP_1 is the Multi-angle Imaging SpectroRadiometer (MISR) Aerosol Climatology Product version 1. It is 1) the microphysical and scattering characteristics of pure aerosol upon which routine retrievals are based, 2) mixtures of pure aerosol to be compared with MISR observations, and 3) the likelihood value assigned to each mode geographically. The ACP describes mixtures of up to three component aerosol types from a list of eight components in varying proportions. ACP component aerosol particle data quality depends on the ACP input data, which are based on aerosol particles described in the ...

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NASA MISST Project

icenetcdfoceanssatellite imagery

The Saildrone Arctic 2021 dataset presents a unique collection of high-quality, near real-time, multivariate surface ocean, and atmospheric observations obtained through the deployment of Saildrone, an innovative wind and solar-powered uncrewed surface vehicle (USV). Saildrone is capable of extended missions lasting up to 12 months, covering vast distances at typical speeds of 3-5 knots and operates autonomously, relying solely on wind propulsion, while its navigation can be remotely guided from land. The 2021 Saildrone Arctic campaign featured two Saildrone USVs deployed during a 76-day cruise in th...

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NASA MOPITT Project

carbon

MOP03J_109 is the Measurements Of Pollution In The Troposphere (MOPITT) Beta CO gridded daily means (Near and Thermal Infrared Radiances) version 109 product is an unvalidated beta product subject to recalibration, contains daily mean gridded versions of the daily Level 2 CO profile and total column retrievals. The averaging kernels associated with each retrieval are also gridded and included in the Level 3 files. Data collection for this product is ongoing. For a description of the file contents, refer to the File Spec Document. The MOPITT Level 2 Data Quality Statement contains additional in...

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NASA MULTI-TASTE Project

atmospheresatellite imagery

The Medium Resolution Imaging Spectrometer (MERIS) is one of 10 sensors deployed in March of 2002 on board the polar-orbiting Envisat-1 environmental research satellite by the European Space Agency (ESA). The MERIS instrument is a moderate-resolution wide field-of-view push-broom imaging spectroradiometer capable of sensing in the 390 nm to 1040 nm spectral range. Being a programmable instrument, it had the unique capability of selectively adjusting the width and location of its 15 bands through ground command. The instrument has a 68.5-degree field of view and a swath width of 1150 meters, pr...

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NASA MULTI_NASA Project

earth observationelevationiceoceansradarsatellite imagery

This data set contains surface elevations from retracked CryoSat-2 waveforms, as well as model fitting parameters used to retrack the waveform. The primary data set used in the production of these data come from the ESA CryoSat-2 satellite....

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NASA MetOp Project

climatehdficenetcdfoceansradarsatellite imagery

This dataset represents the first historically reprocessed Level 2 coastal ocean surface wind vector climate data record from the Advanced Scatterometer (ASCAT) on MetOp-A sampled on a 12.5 km grid. This coastal dataset utilizes a spatial box filter to generate a spatial average of the Sigma-0 retrievals from the Level 1B dataset and obtains additional winds near the coast. Since the full resolution L1B Sigma-0 retrievals are used, all non-sea retrievals are discarded prior to the Sigma-0 averaging. Each box average Sigma-0 is then used to compute the vector cell wind using the same CMOD7 geophysical model function as in the operational OSI SAF ASCAT wind vector datasets. With this enhanced coastal retrieval, winds are computed as close to ~15 km from the...

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NASA Model Archive Project

atmospherecarbonclimatehydrologyicenetcdfprecipitationsoil moistureweather

This model product provides: (1) the source code for the updated Berkeley-Dalhousie Soil Nitric Oxide (NO) Parameterization module (BDSNP, Version 1.0) as implemented with the Community Multi-scale Air Quality model (CMAQ, Version 5.0.2), (2) module input data from historical and new sources of maps for soil biome type, fertilizer, and arid and non-arid climates, and (3) sample CMAQ simulation outputs for three BDSNP module NO parameterizations (standard, historical, and newer inputs). The simulations use a 12-km spatial grid resolution for CMAQ modeling covering the conterminous United States...

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NASA NACP Project

atmospherecarbonclimateearth observationelevationhdficeland coverlidarnetcdfoceansprecipitationradarsatellite imageryweather

This dataset provides estimates of hourly carbon dioxide (CO2) emissions from the combustion of fossil fuels at 1-km resolution for the coterminous United States (CONUS) covering the years 2012 through 2017. Emissions from the ACES model are reported for ten distinct emissions source sectors: Airports and Aircraft, Commercial Buildings, Electric Power Generation facilities, Industrial point and non-point sources, Commercial Marine Vessels, Nonroad vehicles and equipment, Oil and Gas wells and facilities, Onroad vehicles, Railway engines and yards, and Residential buildings. All emissions are r...

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NASA NASA-SSH Project

climateoceansradarsatellite imagery

This dataset contains the Global Mean Sea Level (GMSL) trend generated from the Integrated Multi-Mission Ocean Altimeter Data for Climate Research Version 5.2. The GMSL trend is a 1-dimensional time series of globally averaged Sea Surface Height Anomalies (SSHA) from TOPEX/Poseidon, Jason-1, OSTM/Jason-2, Jason-3, and Sentinel-6A that covers September 1992 to present with a lag of up to 4 months. The data are reported as variations relative to a 20-year TOPEX/Jason collinear mean. Bias adjustments and cross-calibrations were applied to ensure SSHA data are consistent across the missions; Glaci...

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NASA NCA-LDAS Project

climateearth observationhydrologyiceprecipitationsatellite imagerysoil moisture

The National Climate Assessment - Land Data Assimilation System, or NCA-LDAS, is a terrestrial water reanalysis in support of the United States Global Change Research Program's NCA activities. NCA-LDAS features high resolution, gridded, daily time series data products of terrestrial water and energy balance stores, states, and fluxes over the continental U.S., derived from land surface hydrologic modeling with multivariate assimilation of satellite Environmental Data Records (EDRs). The overall goal is to provide the highest quality terrestrial hydrology products that enable improved scien...

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NASA NEESPI NASA Project

climateicesatellite imagerysoil moisture

The dataset contains global monthly-mean soil moisture statistics (average values) for 1 by 1 degree grid cells. The source for the data is AMSR-E daily estimates of soil moisture (AE_Land3.002: AMSR-E/Aqua Daily L3 Surface Soil Moisture, Interpretive Parameters, QC EASE-Grids. Version 2 ). The dataset covers the time period from 2002-10-01 to 2011-09-30....

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NASA NEWS Project

earth observationnetcdfoceans

The world's premier catalyst for understanding Earth as a unified and dynamic system, empowering humanity through transformative insights into Earth system science....

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NASA NIMBUS-7 Project

earth observationiceoceanssatellite imagery

NIMBUS7_NFOV_MLCE data are Nimbus 7 Narrow Field of View (NFOV) Maximum Likelihood Cloud Estimation (MLCE) Data in Native Format.The NIMBUS7_NFOV_MLCE data set uses the Nimbus-7 measurements and the MLCE algorithm for better regional and temporal resolution. The Earth Radiation Budget (ERB) parameters, derived from the Nimbus-7 scanner measurements, were rederived in 1990 using a Maximum Likelihood Cloud Estimation (MLCE) algorithm similar, but not identical, to the Earth Radiation Budget Experiment (ERBE) algorithm. Daily and monthly means are presented on two commensurate equal area world gr...

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NASA NLDAS Project

climateicenetcdfprecipitationradarsatellite imagerysoil moistureweather

This data set contains thirty-eight fields simulated from the Mosaic land-surface model (LSM) for Phase 2 of the North American Land Data Assimilation System (NLDAS-2). The data are in 1/8th degree grid spacing and range from Jan 1979 to the present. The temporal resolution is hourly. The file format is netCDF (converted from the GRIB format). Mosaic was developed by Koster and Suarez (1994, 1996) to account for subgrid vegetation variability with a tile approach. Each vegetation tile carries its own energy and water balance and soil moisture and temperature. Each tile has three soil layers, w...

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NASA NOAA - SPACE WEATHER PROGRAM Project

climatehdfhdf5icenetcdfoceanssatellite imageryweather

The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Inf...

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NASA NOAA CLIMATE DATA RECORD (CDR) PROGRAM Project

atmosphereclimateicenetcdfoceans

The Smith & Reynolds Extended Reconstructed Sea Surface Temperature (ERSST) Level 4 dataset provides a historical reconstruction of monthly global ocean surface temperatures and temperature anomalies over a 2 degree spatial grid since 1854 from in-situ observations based on a consistent statistical methodology that accounts for uneven sampling distributions over time and related observational biases. Version 5 of this dataset implements release 3.0 of ICOADS (International Comprehensive Ocean-Atmosphere Data Set) and is supplemented by monthly GTS (Global Telecommunications Ship and buoy) ...

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NASA NOBM Project

carboniceoceans

Global Modeling and Assimilation Office Research...

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NASA NOPP_MISST Project

icenetcdfoceanssatellite imagery

The Saildrone Arctic 2019 dataset presents a unique collection of high-quality, near real-time, multivariate surface ocean, and atmospheric observations obtained through the deployment of Saildrone, an innovative wind and solar-powered uncrewed surface vehicle (USV). Saildrone is capable of extended missions lasting up to 12 months, covering vast distances at typical speeds of 3-5 knots and operates autonomously, relying solely on wind propulsion, while its navigation can be remotely guided from land. The 2019 Saildrone Arctic campaign featured six Saildrone USVs (jointly funded by NOAA and NASA) dep...

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NASA NPP Project

atmospherecarbonclimatecogearth observationelevationiceland coverprecipitationsatellite imagerysoil moisturestacweather

This data set contains two files (.txt). One file contains stand characteristics, soil characteristics, biomass distribution, and production allocation data measured during the 1984 growing season in four lodgepole pine stands (Pinus contorta var. latifolia) located near Canal Flats, British Columbia, Canada (50.2 N -115.5 W Elevation 1,300-1,380 m). The second file contains climate data from a nearby weather station at Kananaskis Boundary, Alberta (50.98 N -115.12 W Elevation 1,463 m). Two lodgepole pine stands were growing on xeric sites and two stands were growing on mesic sites. The stands...

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NASA NPP-JPSS Project

atmospherecarbonclimateearth observationelevationhdfhdf5iceland covernetcdfoceanssatellite imagery

The Advanced Technology Microwave Sounder (ATMS) Level 1B data files contain brightness temperature measurements along with ancillary spacecraft, instrument, and geolocation data of the ATMS instrument on the Joint Polar Satellite System-1 (JPSS-1) platform. This platform is also known as NOAA-20 (National Oceanic and Atmospheric Administration). The ATMS is a 22-channel mm-wave radiometer. The ATMS will measure upwelling radiances in six frequency bands centered at 23 GHz, 31 GHz, 50-58 GHz, 89 GHz, 66 GHz, and 183 GHz. The ATMS is a total power radiometer, with “through-the-antennaR...

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NASA NRL Coriolis Project

icesatellite imagerysoil moisture

WindSat/Coriolis surface soil moisture (LPRM) L2 V001 is a Level 2 (swath) data set. Its land surface parameters, surface soil moisture, land surface (skin) temperature, and vegetation water content, are derived from polarimetric microwave radiometer data from WindSat, onboard the Naval Research Laboratory's Coriolis satellite, using the Land Parameter Retrieval Model (LPRM). Each swath is packaged with associated geolocation fields. The data set covers the period from February 2003 to July 2012. The LPRM is based on a forward radiative transfer model to retrieve surface soil moisture and ...

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NASA NSCAT Project

iceoceansprecipitation

The NASA Scatterometer (NSCAT) Level 2.5 high-resolution reduced MGDR contains only wind vector data (sigma-0 is excluded) in 25 km wind vector cell (WVC) swaths which contain daily data from ascending and descending passes. Wind vectors are accurate to within 2 m/s (vector speed) and 20 degrees (vector direction). Wind vectors are not considered valid in rain contaminated regions; rain flags and precipitation information are not provided. Data is flagged where measurements are either missing or ambiguous. In the presence of land or sea ice winds values are set to 0. Wind vectors are processed...

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NASA Nimbus Project

atmospherecarboniceoceanssatellite imagerysoil moistureweather

The Nimbus-4 BUV Level-1 Dark Current Study Master Data is derived from the BUV Level 1 Radiance (RUT) product and contains the geophysical indices and classification, geographic and geomagnetic coordinates, solar magnetic parameters and angles; monochromator and photometer pulse count and analog data, and energetic trapped particles. There is one-to-one correspondence between this product and the dark current working data files, the difference is the working product data have been filtered. The data were originally created on IBM 360 machines and archived on magnetic tapes. The data have been...

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NASA OCO Project

carbon

Version 9r is the current version of the data set. Older versions will no longer be available and are superseded by Version 9r. The ACOS Lite files contain bias-corrected XCO2 along with other select fields aggregated as daily files. Orbital granules of the ACOS Level 2 standard product (ACOS_L2S) are used as input. The "ACOS" data set contains Carbon Dioxide (CO2) column averaged dry air mole fraction for all soundings for which retrieval was attempted. These are the highest-level products made available by the OCO Project, using TANSO-FTS spectral radiances. The GOSAT team at JAXA ...

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NASA OCO-2 Project

atmospherecarbonice

This is the Gridded Daily OCO-2 Carbon Dioxide assimilated dataset. The OCO-2 mission provides the highest quality space-based XCO2 retrievals to date. However, the instrument data are characterized by large gaps in coverage due to OCO-2’s narrow 10-km ground track and an inability to see through clouds and thick aerosols. This global gridded dataset is produced using a data assimilation technique commonly referred to as state estimation within the geophysical literature. Data assimilation synthesizes simulations and observations, adjusting the state of atmospheric constituents like CO2 to ref...

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NASA OCO-3 Project

atmospherecarbon

The ECOSTRESS/OCO-3 (“ECOCO3”) data set consists of spatially and temporally co-located observations from the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) and the Orbiting Carbon Observatory 3 (OCO-3) instruments currently operating on the International Space Station. Land Surface Temperature, Evapotranspiration, and Water Use Efficiency data products from ECOSTRESS, and Solar-Induced Chlorophyll Fluorescence and Dry-Air Column Mole Fraction CO2 from OCO-3 are matched in space and time over 3°x3° areas across the globe where OCO-3 performs Snapshot Area Map a...

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NASA OMG Project

iceoceansweather

An inventory of NASA's airborne and field campaigns for Earth Science...

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NASA OSCAR Project

oceanssatellite imagery

Ocean Surface Current Analyses Real-time (OSCAR) is a global surface current database and NASA funded research project. OSCAR ocean mixed layer velocities are calculated from satellite-sensed sea surface height gradients, ocean vector winds, and sea surface temperature gradients using a simplified physical model for geostrophy, Ekman, and thermal wind dynamics. Daily averaged surface currents are provided on a global 0.25 x 0.25 degree grid as an average over an assumed well-mixed top 30 m of the ocean from 1993 to present day. OSCAR currents are provided at three quality levels: final, interi...

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NASA OTTER Project

atmosphere

An inventory of NASA's airborne and field campaigns for Earth Science...

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NASA PACE-PAX Project

earth observationlidaroceanssatellite imagery

An inventory of NASA's airborne and field campaigns for Earth Science...

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NASA PEM-Tropics Project

carbonclimatecogearth observationlidarsatellite imagery

PEM-Tropics-A_Aerosol_AircraftInSitu_DC8_Data is the in-situ aerosol data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) Tropics A suborbital campaign. Data utilizing condensation nuclei counters (CNC) is featured in this collection. Data collection for this product is complete. From 1983-2001, NASA conducted a collection of field campaigns as part of the Global Tropospheric Experiment (GTE). Among those was PEM, which intended to improve the scientific understanding of human influence on tropospheric chemistry. Part of the PEM field campaigns were focused on ...

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NASA PEM-West Project

carbonlidarsatellite imagery

PEM-West-A_Aerosol_AircraftInSitu_DC8_Data is the in-situ aerosol data collected onboard the DC-8 aircraft during the Pacific Exploratory Mission (PEM) West A suborbital campaign. Data utilizing Optical Particle Counters (OPC) and ion chromatography are featured in this collection. Data collection for this product is complete. During 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) for developing advanced instrumentation to quantify atmospheric trace gases’ sources, sinks, and distribution. Among those was PEM, which intended to im...

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NASA POES Project

atmospheresatellite imagery

The version 8 SBUV/2 NOAA-11 ozone data were first released at the 2004 Quadrennial Ozone Symposium on DVD. The DVD contained all of the SBUV/2 data from NOAA-9, NOAA-11 and NOAA-16 satellites as well as SBUV data from the Nimbus-7 satellite. The DVD is no longer available, however all the data are available on-line from the NASA GES DISC. The NOAA-11 SBUV/2 v8 data are available from 1988-12-01 to 2001-03-27. The instrument spatial resolution is 180 km x 180 km footprint at nadir. The ozone profiles are made at 21 pressure levels between 1000 and 0.1 hPa. Each data file contains a days worth ...

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NASA PREFIRE Project

atmosphereclimatecogelevationicenetcdfsatellite imagery

Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Atmospheric Properties from PREFIRE Satellite 1 COG (PREFIRE_SAT1_2B-ATM_COG) is retrieved from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT1. Dual CubeSats each carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budge...

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NASA PROVE Project

land coversatellite imagery

An inventory of NASA's airborne and field campaigns for Earth Science...

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NASA QUIKSCAT Project

earth observationiceoceansradar

This dataset consists of the version 2 Level 2B science-quality ocean surface wind vector retrievals from the Oceansat-2 scatterometer (OSCAT), which was designed and launched by the Indian Space Research Organization (ISRO) 23 September 2009. This Level 2B dataset is produced by the Jet Propulsion Laboratory (JPL) QuikSCAT Project in cooperation with ISRO. The retrievals are provided on a non-uniform grid within the swath at 12.5 km pixel resolution. This resolution is achieved through a slice composite technique in which high resolution slice measurements from L1B data are composited into a ...

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NASA ROSES Project

satellite imagery

The Reconstructed Sea Level dataset contains sea level anomalies derived from satellite altimetry and tide gauges. The satellite altimetric record provides accurate measurements of sea level with near-global coverage, but it has a relatively short time span, since 1993. Tide gauges have measured sea level over the last 200 years, with some records extending back to 1807, but they only provide regional coverage, not global. Combining satellite altimetry with tide gauges, using a technique known as sea level reconstruction, results in a dataset with the record length of the tide gauges and the n...

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NASA S-MODE Project

atmospherecarbonelevationgeospatialicelidarnetcdfoceansradarweather

An inventory of NASA's airborne and field campaigns for Earth Science...

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NASA SAFARI 2000 Project

atmospherecarbonclimatecogearth observationelevationhdfhydrologyiceland coverlidarnetcdfoceansprecipitationsatellite imagerysoil moistureweather

An inventory of NASA's airborne and field campaigns for Earth Science...

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NASA SAGE III-ISS Project

atmospherehdfhdf5icenetcdf

g3btmnc_6 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1 Monthly Solar Event Species Profiles (NetCDF) V6 data product. It contains pixel group transmission profiles for a month of solar events (the last day of each month is omitted). SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the lig...

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NASA SAGE III-M3M Project

hdfsatellite imagery

Level 1B pixel group transmission profiles for a single solar event....

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NASA SARAL Project

oceanssatellite imagery

These data are near-real-time (NRT) (within 7-9 hours of measurement) sea surface height anomalies (SSHA) from the AltiKa altimeter onboard the Satellite with ARgos and ALtiKa (SARAL). SARAL is a French(CNES)/Indian(SARAL) collaborative mission to measure sea surface height using the Ka-band AltiKa altimeter and was launched February 25, 2013. The major difference between these data and the Operational Geophysical Data Record (OGDR) data produced by the project is that the orbit from SARAL has been adjusted using SSHA differences with those from the OSTM/Jason-2 GPS-OGDR-SSHA product at inter-...

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NASA SARP Project

oceanssatellite imagery

An inventory of NASA's airborne and field campaigns for Earth Science...

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NASA SASSIE Project

atmosphereclimateearth observationicenetcdfoceansradar

An inventory of NASA's airborne and field campaigns for Earth Science...

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NASA SBG Project

This report summarizes the community discussions at the 2024 NASA Surface Biology and Geology (SBG) Technical Interchange Meeting (TIM) from May 29 to 31, 2024, in Washington, D.C., US. The report provides the broader science community with information on the current state of the SBG mission, SBG-relevant science and applications, and future work needed. The SBG mission includes a visible to shortwave infrared (VSWIR) spectrometer and a thermal infrared (TIR) radiometer as outlined in the 2017-2027 National Academies' Decadal Survey. Over 150 in-person and 200 online community members from...

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NASA SCP Project

climateearth observationradarsatellite imagery

This European Remote Sensing (ERS) Sigma-0 dataset is generated by the Scatterometer Climate Record Pathfinder (SCP) project at Brigham Young University (BYU) and is generated using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long at BYU. The dataset provides SIR processed Sigma-0 data from the ERS-1 C-band scatterometer, which is also known as the Active Microwave Instrument (AMI). AMI is a multimode radar operating at a frequency of 5.3 GHz (C-band), using vertically polarized antennas for both transmission and reception. The SIR technique results in an enhanc...

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NASA SEAWINDS Project

atmosphereearth observationiceoceanssatellite imagery

The WindSat Polarimetric Radiometer, launched on January 6, 2003 aboard the Department of Defense Coriolis satellite, was designed to measure the ocean surface wind vector from space. It developed by the Naval Research Laboratory (NRL) Remote Sensing Division and the Naval Center for Space Technology for the U.S. Navy and the National Polar-orbiting Operational Environmental Satellite System (NPOESS) Integrated Program Office (IPO). The dataset contains the Level 1C WindSat Top of the Atmosphere (TOA) TB processed by RSS. The WindSat radiances are turned into TOA TB after correction for hot an...

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NASA SHIFT Project

climatecogearth observationhdfhdf5icenetcdfoceans

An inventory of NASA's airborne and field campaigns for Earth Science...

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NASA SIF-ESDR Project

carbonclimatenetcdfoceanssatellite imagery

This dataset provides global solar-induced chlorophyll fluorescence (SIF) estimates at a 0.05-degree resolution (approximately 5 km at the equator) for each month from January 2003 through December 2017. SIF data (740 nm) was retrieved from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) and Global Ozone Monitoring Experiment 2 (GOME-2) instruments onboard the MetOp-A satellite. The data were downscaled to 0.05 degrees using the Random Forest algorithm and predictors from Moderate Resolution Imaging Spectroradiometer (MODIS) and Modern-Era Retrospective an...

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NASA SISTER Project

ice

The Space-based Imaging Spectroscopy and Thermal pathfindER (SISTER) activity originated in support of the NASA Earth System Observatory's Surface Biology and Geology (SBG) mission to develop prototype workflows with community algorithms and generate prototype data products envisioned for SBG. SISTER focused on developing a data system that is open, portable, scalable, standards-compliant, and reproducible. This collection contains EXPERIMENTAL workflows and sample data products, including (a) the Common Workflow Language (CWL) process file and a Jupyter Notebook that run the entire SISTER...

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NASA SMAPVEX08 Project

land coverradarsatellite imagerysoil moisture

This data set includes several parameters that were obtained from field surveys as part of the Soil Moisture Active Passive Validation Experiment 2008 (SMAPVEX08)....

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NASA SMAPVEX12 Project

iceland coverradarsatellite imagerysoil moisture

This data set contains in situ soil moisture data collected with coring devices at several agricultural sites as part of the Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12)....

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NASA SMAPVEX15 Project

soil moisture

This data set contains brightness temperatures obtained by the Passive Active L-band System (PALS) aircraft instrument. The data were collected as part of SMAPVEX15, the Soil Moisture Active Passive Validation Experiment 2015....

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NASA SMAPVEX16 Manitoba Project

land coverprecipitationsoil moisture

This data set contains in situ measurements of soil moisture and bulk density collected for the Soil Moisture Active Passive Validation Experiment 2016 Manitoba (SMAPVEX16 Manitoba) campaign....

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NASA SMERGE Project

climatesatellite imagerysoil moisture

Smerge-Noah-CCI root zone soil moisture 0-40 cm L4 daily 0.125 x 0.125 degree V2.0 is a multi-decadal root-zone soil moisture product. Smerge is developed by merging the North American Land Data Assimilation System (NLDAS) land surface model output with surface satellite retrievals from the European Space Agency Climate Change Initiative. The data have a 0.125 degree resolution at a daily time-step, covering the entire continental United States and spanning nearly four decades (January 1979 to May 2019). This data product contains root-zone soil moisture of 0 - 40 cm layer, Climate Change Init...

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NASA SNF Project

atmosphereearth observationicesatellite imageryweather

An inventory of NASA's airborne and field campaigns for Earth Science...

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NASA SNWG/OPERA Project

cogearth observationelevationiceland coverradarsatellite imagery

This dataset contains Level-3 Dynamic OPERA surface water extent product version 1. The data are validated surface water extent observations beginning April 2023. Known issues and caveats on usage are described under Documentation. The input dataset for generating each product is the Harmonized Landsat-8 and Sentinel-2A/B/C (HLS) product version 2.0. HLS products provide surface reflectance (SR) data from the Operational Land Imager (OLI) aboard the Landsat 8 satellite and the MultiSpectral Instrument (MSI) aboard the Sentinel-2A/B/C satellite. The surface water extent products are distributed ove...

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NASA SORCE Project

atmosphereclimateicenetcdfsatellite imagery

Welcome to the Home Page of the SOlar Radiation and Climate Experiment (SORCE) The Solar Radiation and Climate Experiment (SORCE) […]...

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NASA SPURS Project

netcdfoceansprecipitationradarsatellite imagery

An inventory of NASA's airborne and field campaigns for Earth Science...

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NASA STAQS Project

earth observationlidarsatellite imagery

An inventory of NASA's airborne and field campaigns for Earth Science...

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NASA Saildrone Baja Project

netcdfoceanssatellite imagery

Saildrone is a wind and solar powered unmanned surface vehicle (USV) capable of long distance deployments lasting up to 12 months and providing high quality, near real-time, multivariate surface ocean and atmospheric observations while transiting at typical speeds of 3-5 knots. The drone is autonomous in that it may be guided remotely from land while being completely wind driven. The saildrone Baja campaign was a 60-day cruise from San Francisco Bay, down along the US/Mexico coast to Guadalupe Island and back again over the period 11 April 2018 to 11 June 2018. Repeat surveys were taken around...

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NASA Sentinel-3A Project

atmosphereearth observationnetcdfoceanssatellite imagery

The OLCI+SLSTR/Sentinel-3A L2 Surface Reflectance and Aerosol parameters over Land product with shortname S3A_SY_2_SYN, is generated by combining data acquired by the Ocean and Land Colour Instrument (OLCI) and the Sea and Land Surface Temperature Radiometer (SLSTR), on-board SENTINEL-3. The OLCI is a push-broom imaging spectrometer that measures solar radiation reflected by the Earth at a ground spatial resolution of around 300m, over all surfaces, in 21 spectral bands whereas the SLSTR is a dual scan temperature radiometer. The principal objective of SLSTR products is to provide global and r...

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NASA Sentinel-3B Project

atmosphereearth observationnetcdfoceanssatellite imagery

The OLCI+SLSTR/Sentinel-3B L2 Surface Reflectance and Aerosol parameters over Land product with shortname S3A_SY_2_SYN, is generated by combining data acquired by the Ocean and Land Colour Instrument (OLCI) and the Sea and Land Surface Temperature Radiometer (SLSTR), on-board SENTINEL-3. The OLCI is a push-broom imaging spectrometer that measures solar radiation reflected by the Earth at a ground spatial resolution of around 300m, over all surfaces, in 21 spectral bands whereas the SLSTR is a dual scan temperature radiometer. The principal objective of SLSTR products is to provide global and r...

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NASA Sentinel-5P Project

atmospherecarbonclimatecogicenetcdfoceanssatellite imagery

Sentinel-5P: Unveiling mission goals, applications, sensor insights, and product details, including advanced processing algorithms....

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NASA Sentinel-6 Project

radarsatellite imagery

Provides reprocessed L1A high resolution (HR) non-time critical (NTC; 60-day latency) altimetry intermediate outputs from the Poseidon-4 SAR altimeter on the Sentinel-6A Michael Freilich spacecraft, which are geo-located bursts of Ku-band echoes (at ~140 Hz) with all instrument calibrations applied and full rate complex waveforms for delay/Doppler or HR processing. The S6A NTC product is analogous to the Jason-3 GDR product....

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NASA SnowEx Project

atmosphereelevationiceland coverlidarradarsatellite imagerysoil moisture

This data set provides 3 m gridded, bare-earth elevations (excluding trees) that are used as the baseline for the Airborne Snow Observatory (ASO) snow-on products. The data were collected during snow-free conditions as part of the NASA/JPL ASO aircraft survey campaigns....

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NASA Soil Project

atmospherecarbonclimateelevationhydrologyicelidarnetcdfoceansprecipitationsatellite imagerysoil moisture

This data set provides the concentrations of soil microbial biomass carbon (C), nitrogen (N) and phosphorus (P), soil organic carbon, total nitrogen, and total phosphorus at biome and global scales. The data were compiled from a comprehensive survey of publications from the late 1970s to 2012 and include 3,422 data points from 315 papers. These data are from soil samples collected primarily at 0-15 cm depth with some from 0-30 cm. In addition, data were compiled for soil microbial biomass concentrations from soil profile samples to depths of 100 cm. Sampling site latitude and longitude were av...

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NASA Suomi-NPP Project

atmospherecarbonclimatehdfhdf5icenetcdfoceansprecipitationsatellite imageryweather

The objective of this limited edition data collection is to examine the ammonia products generated by the ESSPA (Earth System Science Profiling Algorithm) algorithm from the Cross-track Infrared Sounder (CrIS) instruments. The CrIS instrument used for this product is deployed on board the Suomi National Polar-orbiting Partnership (SNPP) platform and uses the Normal Spectral Resolution (NSR) data. The CrIS instrument is a Fourier transform spectrometer with a total of 1305 NSR infrared sounding channels covering the longwave (655-1095 cm-1), midwave (1210-1750 cm-1), and shortwave (2155-2550 cm...

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NASA TCTE Project

atmosphere

TSI Calibration Transfer Experiment (TCTE) Launch November 19, 2013 The TCTE includes a Total Irradiance Monitor to measure total solar irradiance (TSI). This new instrument is similar to that providing data from NASA’s SORCE mission since 2003, and will overlap TSI measurements with the SORCE mission. TCTE was launched on Nov. 19, 2013 from NASA’s Wallops Flight Facility as […]...

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NASA TIROS Project

atmospherecarbonsatellite imagery

TIROS-2 Medium-Resolution Scanning Radiometer Level 1 Final Meteorological Radiation Data (FMRT) product contains radiances expressed in five infrared/visible wavelength regions, expressed in either equivalent blackbody temperature (IR channels 1 and 2) or effective radiant emmitance (visible channels 3 and 5). The data will trace an elliptical, parabolic, or hyperbolic pattern on the ground due to the rotating of the instrument about the satellite spin axis. There is one orbit per file. The data were originally written on IBM 7094 machines, and these have been recovered from magnetic tapes, r...

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NASA TOMS Project

atmospherehdfsatellite imagery

The Earth Probe (EP) Total Ozone Mapping Spectrometer (TOMS) version 8 daily ground station overpass data product contains total column ozone, UV aerosol index, Lambertian effective surface reflectivity (Rayleigh corrected), UV aerosol index and sulfur dioxide index values. The overpass data files contain the data derived from the best-matched TOMS field-of-view (FOV) to a site for every day the TOMS instrument was operational. The data are stored in an ASCII format. TOMS data were produced by the Laboratory for Atmospheres at NASA Goddard Space Flight Center (Code 614)....

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NASA TOPEX/POSEIDON Project

oceans

The Sensory Data Record (SDR) is similar to the GDR product except that it also contains waveforms, which are required for retracking. This is an expert level product. If you do not need the waveforms then the GDR should suit your needs....

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NASA TOVS Pathfinder Project

atmospherehdficenetcdfoceansprecipitationsatellite imagery

The Microwave Sounding Unit (MSU) Lower Troposphere Deep Layer Temperature product (MSULTT) provides gridded lower tropospheric temperatures derived from MSU instruments on several different platforms. The temperatures are derived using a combination of MSU channels 2 and 3 which has an averaging kernel that peaks near 500 hecto Pascals. The algorithm is based on Spencer and Christy (1990) with the LIMB 93 limb correction based on latitude, longitude, month, and scan angle. The MSU instruments measure the thermal emission of radiation by molecular oxygen at four frequencies near 60 GHz. North ...

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NASA TRACE-A Project

atmospherelidaroceanssatellite imagery

TRACE-A_Sondes_Data is the balloonsonde and ozonesonde data collected during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data collection for this product is complete. The TRACE-A mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the At...

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NASA TRACE-P Project

atmospherelidarsatellite imagery

TRACE-P_Sondes_Data is the balloonsonde and ozonesonde data collected during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities. TRACE-P deployed its payloads in the Pacific between the months of March an...

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NASA TRMM Project

atmosphereearth observationelevationhdfhdf5icenetcdfoceansprecipitationradarsatellite imagerysoil moistureweather

This is a new (GPM-formated) TRMM product. The equivalent old TRMM legacy product is TRMM_2H31. Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07. Estimating vertical profiles of latent heating released by precipitating cloud systems is one of the key objectives of TRMM, together with accurately measuring the horizontal distribution of tropical rainfall. The method uses TRMM PR information [precipitation-top height (PTH), precipitation rates at the surface and melting level, and rain type] to select heating prof...

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NASA TROPESS Project

carbonnetcdfsatellite imagery

The TROPESS AIRS-Aqua and OMI-Aura L2 Ozone for Forward Stream, Standard Product contains the vertical distribution of the retrieved atmospheric state of ozone (O3), formal uncertainties, and diagnostic information measured by the AIRS instrument on the EOS Aqua satellite and the OMI instrument on the EOS Aura satellite. The forward stream standard product is global for the time period from 2021-02-01 to present. The NASA TRopospheric Ozone and Precursors from Earth System Sounding (TROPESS) project, uses an optimal estimation algorithm, known as the MUlti-SpEctra, MUlti-SpEcies, Multi-SEnsors...

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NASA TROPICS (EVI-3) Project

icenetcdfoceansprecipitationsatellite imageryweather

The "Time-Resolved Observations of Precipitation structure and storm Intensity with a Constellation of Smallsats" (TROPICS) mission has a goal of providing nearly all-weather observations of three-dimensional temperature and humidity, as well as cloud ice and precipitation horizontal structure, at high temporal resolution to conduct high-value science investigations of tropical cyclones. The mission comprises a constellation of five identical Space Vehicles (SVs) conforming to the 3U form factor and hosting a passive microwave spectrometer payload. Each SV hosts an identical high-per...

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NASA Terra Project

atmospherecarbonclimatecogearth observationelevationhdfhydrologyiceland covernetcdfoceanssatellite imagerystac

The AST14DEM Version 3 data product was decommissioned on December 15, 2025. Users are encouraged to use the AST14DEM Version 4 data product. The Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Digital Elevation Model (AST14DEM) product is generated using bands 3N (nadir-viewing) and 3B (backward-viewing) of an ASTER Level 1A image acquired by the Visible and Near Infrared (VNIR) sensor. The VNIR subsystem includes two independent telescope assemblies that facilitate the generation of stereoscopic data. The band 3 stereo pair is acquired in the spectral range of 0.78 and 0.86 ...

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NASA TransCom Project

atmospherecarboniceoceans

The Atmospheric Tracer Transport Model Intercomparison Project (TransCom) was created to quantify and diagnose the uncertainty in inversion calculations of the global carbon budget that results from errors in simulated atmospheric transport, the choice of measured atmospheric carbon dioxide data used, and the inversion methodology employed. Under the third phase of TransCom (TransCom 3), surface-atmosphere CO2 fluxes were estimated from an intercomparison of 16 different atmospheric tracer transport models and model variants in order to assess the contribution of uncertainties in transport to ...

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NASA UARS Project

atmosphereicesatellite imagerystacweather

The UARS Correlative assimilation data from NOAA's National Meteorological Center (NMC) consists of daily model runs at 12 GMT as a means of providing an independent analysis for comparison with data from the UARS instruments. The NMC data product includes temperature (Kelvin), humidity (%), geopotential height (m), and zonal and meridional wind components (m/s). Geopotential height and atmospheric temperature data are derived from two analysis systems: 1) tropospheric fields from 1000 to 100 mb, and 2) stratospheric analyses from 70 to 0.4 mb. The tropospheric fields are the 12 GMT gridde...

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NASA VEMAP Project

atmospherecarbonclimateiceoceansprecipitation

The Vegetation/Ecosystem Modeling and Analysis Project (VEMAP) is an ongoing multiinstitutional, international effort addressing the response of biogeography and biogeochemistry to environmental variability in climate and other drivers in both space and time domains. The objectives of VEMAP are the intercomparison of biogeochemistry models and vegetationtype distribution models (biogeography models) and determination of their sensitivity to changing climate, elevated atmospheric carbon dioxide concentrations, and other sources of altered forcing. The VEMAP data set includes three georeferencin...

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NASA Vegetation Project

atmospherecarbonclimatecogearth observationelevationgeospatialiceland coverlidarnetcdfprecipitationradarsatellite imagerystacweather

This global data set of photosynthetic rates and leaf nutrient traits was compiled from a comprehensive literature review. It includes estimates of Vcmax (maximum rate of carboxylation), Jmax (maximum rate of electron transport), leaf nitrogen content (N), leaf phosphorus content (P), and specific leaf area (SLA) data from both experimental and ambient field conditions, for a total of 325 species and treatment combinations. Both the original published Vcmax and Jmax values as well as estimates at standard temperature are reported. The maximum rate of carboxylation (Vcmax) and the maximum rate ...

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NASA WDTS Project

satellite imagery

An inventory of NASA's airborne and field campaigns for Earth Science...

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NASA WELD Project

atmospheregeospatialhdfland coversatellite imagery

WELDLCLUC.015 was decommissioned on December 2, 2019. The Web-Enabled Landsat Data (WELD) 5-year Land Cover Land Use Change (LCLUC) is a composite of 30 meter (m) land use land change product for the contiguous United States (CONUS). The data were generated from five years of consecutive growing season WELD weekly composite inputs from April 15, 2006, to November 17, 2010. WELD data are created using Landsat Thematic Mapper Plus (ETM+) Terrain Corrected data. This product includes data about tree cover loss and bare ground gain, which are composited over the five year period. WELD LCLUC is dis...

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NASA WLDAS Project

elevationhydrologyiceprecipitationsoil moisture

The Western Land Data Assimilation System (WLDAS), developed at Goddard Space Flight Center (GSFC) and funded by the NASA Western Water Applications Office, provides water managers and stakeholders in the western United States with a long-term record of near-surface hydrology for use in drought assessment and water resources planning. WLDAS leverages advanced capabilities in land surface modeling and data assimilation to furnish a system that is customized for stakeholders’ needs in the region. WLDAS uses NASA’s Land Information System (LIS) to configure and drive the Noah Multiparameterizatio...

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NASA amsr-2 Project

iceoceansprecipitationsatellite imagerysoil moisture

This AMSR Unified global ocean data set reports integrated water vapor and cloud liquid water content in the atmospheric column, plus 10-meter sea surface wind speeds. The data are derived from AMSR-E and AMSR2 brightness temperature observations that have been resampled by the Japan Aerospace Exploration Agency (JAXA) to facilitate an intercalibrated (i.e., “unified”) AMSR-E/AMSR2 data record. Ancillary files, including product history, quality assessment (QA), and file-specific metadata are also available....

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NASA amsr-e Project

earth observationiceoceansprecipitationsatellite imagerysoil moisture

These Level-3 Snow Water Equivalent (SWE) data sets contain SWE data and quality assurance flags mapped to Northern and Southern Hemisphere 25 km Equal-Area Scalable Earth Grids (EASE-Grids)....

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NASA aster Project

elevationoceans

This dataset contains a simulated rasterized water surface elevation and inundation-extent product to be provided by the Surface Water and Ocean Topography (SWOT) mission. SWOT will provide a global coverage but this simulated subset focuses on the North America continent. This is a derived product through resampling the upstream dataset L2_HR_PIXC_V1 and L2_HR_PIXCVEC_V1 onto a uniform grid over the North America continent. A uniform grid is superimposed onto the pixel cloud from the source products, and all pixel-cloud samples within each grid cell are aggregated to produce a single value pe...

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NASA chirps Project

climateprecipitationweather

This data set provides downscaled six-hourly atmospheric forcings from European Centre for Medium-Range Weather Forecasts (ECMWF) and Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) precipitation from 2003 to 2019 at a spatial resolution of ~1km across High Mountain Asia....

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NASA icesat Project

elevationicelidaroceansradarsatellite imagery

Level-1A altimetry data (GLAH01) include the transmitted and received waveform from the altimeter. Each data granule has an associated browse product....

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NASA icesat-2 Project

atmosphereclimateelevationiceoceansradarsatellite imagery

These Level 1B time-ordered telemetry data are used for system-level, quality control analysis by the Advanced Topographic Laser Altimeter System (ATLAS) ICESat-2 Science Investigator-led Processing System (SIPS). They also provide source data for the Level 2 products and the Precision Orbit Determination (POD) and Precision Pointing Determination (PPD) computations....

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NASA landsat Project

satellite imagery

This data set contains shapefiles of Greenland’s glacial termini and basins for the years 1972 to 2019. These vector data were created from Landsat 1-8 satellite imagery using the Calving Front Machine (CALFIN) an automated processing workflow utilizing neural networks for extracting calving fronts from satellite images of marine-terminating glaciers....

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NASA landsat-7 Project

iceoceansradarsatellite imagery

This data set, part of the NASA's Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, provides a complete 15 m resolution image mosaic of the Greenland ice sheet, derived from USGS Landsat 7 ETM+ imagery and Canadian Space Agency's (CSA) RADARSAT-1 imagery from the years 1999 to 2002. Additional bands (some at 30 m resolution) are provided for each tile in the mosaic and are useful for understanding surface properties, such as snow grain size, bedrock outcrops, mapping layering in the snow, and blue ice or lake-filled regions, during the spring and sum...

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NASA landsat-8 Project

iceradarsatellite imagery

This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, consists of mean monthly velocity maps for selected glacier outlet areas. The maps are generated by tracking visible features between optical image pairs acquired by the Landsat 4 and 5 Thematic Mapper (TM), the Landsat 7 Enhanced Thematic Mapper Plus (ETM+), the Landsat 8 Operational Land Imager (OLI), and the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). See Greenland Ice Mapping Project (GIMP) for related data....

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NASA measures Project

climateelevationicenetcdfoceansradarsatellite imagery

This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, provides a daily record of Arctic sea ice characteristics for the years 1979 through 2012 derived from passive microwave brightness temperatures. Characteristics include the location of sea ice cover, sea ice age, day of melt onset, and status of melt onset. Data are gridded in the 25 km Equal-Area Scalable Earth Grid (EASE-Grid) 2.0 and provided as netCDF files....

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NASA modis-aqua Project

climateicesatellite imagery

This global Level-3 data set (MYD10A1F) provides daily cloud-free snow cover derived from the MODIS/Aqua Snow Cover Daily L3 Global 500m SIN Grid data set (MYD10A1). Grid cells in MYD10A1 which are obscured by cloud cover are filled by retaining clear-sky views of the surface from previous days. A separate parameter is provided which tracks the number of days in each cell since the last clear-sky observation. Each data granule contains a 10° x 10° tile projected to the 500 m sinusoidal grid. The terms "Version 61" and "Collection 6.1" are used interchangeably in reference t...

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NASA modis-terra Project

atmospherecarbonclimateearth observationelevationiceland coverlidarnetcdfoceansprecipitationradarsatellite imagerysoil moistureweather

Mission Objectives: The Surface Water and Ocean Topography (SWOT) mission aims to provide valuable data and information about the world's oceans and its terrestrial surface water such as lakes, rivers, and wetlands. SWOT is being developed jointly by NASA and Centre National D'Etudes Spatiales (CNES), with contributions from the Canadian Space Agency (CSA) and United Kingdom Space Agency (UKSA)....

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NASA omi Project

netcdfoceansradar

This dataset was produced by the Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (NASA grant NNX17AK07G) project, an investigation to develop tools and strategies to better measure the structure and variability of upper-ocean salinity in rain-dominated environments. From October 2019 to January 2020, three Seagliders were deployed near Guam (14°N 144°E). The Seaglider is an autonomous profiler measuring salinity and temperature in the upper ocean. The three gliders sampled in an adaptive formation to capture the patchiness of the rain and the corresponding oceanic respo...

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NASA opera Project

iceoceanssatellite imagerysoil moisture

This data set is an inventory of some 2800 landslides that occurred in the High Mountain Asia (HMA) study area between 5 January 2007 and 31 December 2018 (plus one event from 28 January 1990). The catalog includes dates and locations of landslides, plus additional characteristics such as event triggers, country, length and area of the slide, and the number of injuries and fatalities. The events in this catalog represent an HMA-specific subset of the Cooperative Open Online Landslide Repository (COOLR), a project that was created to build a more robust, publicly available inventory of landslid...

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NASA pace Project

iceoceansradarsatellite imagerysoil moisture

The data set consists of weekly gridded Level-3 products of Aquarius L-band radiometer brightness temperature (TB) observations and Sea Surface Salinity (SSS) retrievals from the Aquarius/Satélite de Aplicaciones Científicas (SAC-D) mission, developed collaboratively between the U.S. National Aeronautics and Space Administration (NASA) and Argentina's space agency, Comisión Nacional de Actividades Espaciales (CONAE)....

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NASA sentinel-1 Project

earth observationelevationiceoceansradarsatellite imagerysoil moisture

This data set contains annual surface melt onset and freeze onset dates across all glaciers in the Hindu Kush Himalayas (HKH) retrieved from time series synthetic aperture radar (SAR) imagery. The data set was based on analysis of C-band Sentinel-1 A/B SAR time series, comprising 32,741 Sentinel-1 A/B SAR images. The duration of annual glacier surface melt was determined for 105,432 mapped glaciers (83,102 km2 glacierized area) during the calendar years 2017-2020....

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NASA sentinel-2 Project

icesatellite imagery

This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, consists of surface velocity estimates for selected Greenland Ice Sheet outlet glaciers. Velocity fields were generated by tracking visible features in optical images acquired by the U.S. Geological Survey (USGS) Landsat 8 Operational Land Imager (OLI) and the European Space Agency (ESA) Copernicus Sentinel-2A and Sentinel-2B satellites....

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NASA smap Project

iceland coverradarsoil moisture

This data set contains data obtained by the Passive Active L- and S-band (PALS) microwave aircraft instrument that are matched up with a variety of soil moisture campaign data. The data were collected as part of four different campaigns: Southern Great Plains 1999 (SGP99), Cloud and Land Surface Interaction Campaign 2007 (CLASIC07), Soil Moisture Experiment 2002 (SMEX02), and the SMAP Validation Experiment 2008 (SMAPVEX08)....

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NASA swot Project

elevationoceans

This dataset provides a simulated water surface elevation product that resembles the Ka-band Interferometer (KaRIn) measurements by the Surface Water and Ocean Topography (SWOT) mission. SWOT will provide a global coverage but this simulated subset focuses on the North America continent. The simulated SWOT KaRIN swaths span 128 km in the cross-swath direction with a 20-km nadir gap. This product is complementary to the L2_HR_PIXC_V1 product. It provides a less noisy, height-constrained geolocation (latitude, longitude, and height) of the L2_HR_PIXC_V1 pixels. In addition, this product provides...

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NASA tempo Project

icesatellite imagerysoil moisture

The mountains of Nepal are one of the most hazardous environments in the world, with frequent landslides caused by tectonic activity, extreme rainfall and infrastructure development. As a landlocked country, Nepal relies on proper functioning of major transportation networks such as the highways to sustain and improve the livelihoods of the population. Every year there are reports of landslides blocking the highways, especially during the rainy season; however, the frequency and location of landslides along the highway corridors are not well reported. RapidEye satellite imagery was used to cre...

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NASA tes Project

carbonclimateelevationhdfhdf5hydrologyiceland coverlidarnetcdfoceansprecipitationradarsatellite imagerysoil moistureweather

This data set contains Level-2 global soil moisture estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D)....

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NASA viirs-jpss Project

icesatellite imagery

This data set contains daily 'cloud-free' snow cover produced from the VIIRS/JPSS-2 Snow Cover Daily L3 Global 375m SIN Grid, Version 2 snow cover product. A cloud-gap-filled algorithm is utilized to replace ‘cloud-covered’ pixels with ‘cloud-free pixels’ for the purpose of estimating the snow cover that may exist under current cloud cover. The data are provided daily and mapped to a 375 m sinusoidal grid....

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NASA viirs-snpp Project

icesatellite imagery

This data set contains daily 'cloud-free' snow cover produced from the VIIRS/JPSS-1 Snow Cover Daily L3 Global 375m SIN Grid, Version 2 snow cover product. A cloud-gap-filled algorithm is utilized to replace ‘cloud-covered’ pixels with ‘cloud-free pixels’ for the purpose of estimating the snow cover that may exist under current cloud cover. The data are provided daily and mapped to a 375 m sinusoidal grid....

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NASA SOTERIA Simulation Testbed Data

life sciencesneuroimagingtransportationworkload analysis

Commercial pilot simulation data during safety-of-flight scenarios.

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Usage examples

• SOTERIA Simulation - Experimental Methods, Data Processing, and Data Quality by Tyler Fettrow, Chad Stephens, Lance Prinzel, Jon Holbrook, Sepher Bastami, Michael Stewart, Kathryn Ballard, Daniel Kiggins
• Python Processing Code by Tyler Fettrow

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Euclid Quick Release 1 (Q1)

astronomyimagingobject detectionsatellite imagerysurvey

Euclid launched in July 2023 as a European Space Agency (ESA) mission with involvement by NASA. The primary science goals of Euclid are to better understand the composition and evolution of the dark Universe. The Euclid mission will provide space-based imaging and spectroscopy as well as supporting ground-based imaging to achieve these primary goals. These data will be archived by multiple global repositories, including IRSA, where they will support transformational work in many areas of astrophysics. Euclid Quick Release 1 (Q1) consists of ~30 TB of imaging, spectroscopy, and catalogs coverin...

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Usage examples

• Notebook Tutorials by Caltech/IPAC-IRSA

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