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energyenvironmentalgeospatiallidarmodelsolar
Data released under the Department of Energy's (DOE) Open Energy Data Initiative (OEDI). The Open Energy Data Initiative aims to improve and automate access of high-value energy data sets across the U.S. Department of Energy’s programs, offices, and national laboratories. OEDI aims to make data actionable and discoverable by researchers and industry to accelerate analysis and advance innovation.
aerial imagerycogdisaster responsedtmearth observationelevationgeopackagegeospatiallidarmappingstactifftiles
The KyFromAbove initiative is focused on building and maintaining a current basemap for Kentucky that can meet the needs of its users at the state, federal, local, and regional level. A common basemap, including current color leaf-off aerial photography and elevation data (LiDAR), reduces the cost of developing GIS applications, promotes data sharing, and add efficiencies to many business processes. All basemap data acquired through this effort is made available in the public domain. KyFromAbove acquires aerial imagery and LiDAR during leaf-off conditions in the Commonwealth. The imagery typic...
agriculturedisaster responseelevationgeospatiallidarstac
The goal of the USGS 3D Elevation Program (3DEP) is to collect elevation data in the form of light detection and ranging (LiDAR) data over the conterminous United States, Hawaii, and the U.S. territories, with data acquired over an 8-year period. This dataset provides two realizations of the 3DEP point cloud data. The first resource is a public access organization provided in Entwine Point Tiles format, which a lossless, full-density, streamable octree based on LASzip (LAZ) encoding. The second resource is a Requester Pays of the original, Raw LAZ (Compressed LAS) 1.4 3DEP format, and more co...
autonomous vehiclescomputer visionlidarroboticstransportationurban
Public large-scale dataset for autonomous driving. It enables researchers to study challenging urban driving situations using the full sensor suite of a real self-driving car.
autonomous vehiclescomputer visionlidarrobotics
This autonomous driving dataset includes data from a 128-beam Velodyne Alpha-Prime lidar, a 5MP Blackfly camera, a 360-degree Navtech radar, and post-processed Applanix POS LV GNSS data. This dataset was collect in various weather conditions (sun, rain, snow) over the course of a year. The intended purpose of this dataset is to enable benchmarking of long-term all-weather odometry and metric localization across various sensor types. In the future, we hope to also support an object detection benchmark.
citiescoastalcogelevationenvironmentallidarurban
This dataset is Lidar data that has been collected by the Scottish public sector and made available under the Open Government Licence. The data are available as point cloud (LAS format or in LAZ compressed format), along with the derived Digital Terrain Model (DTM) and Digital Surface Model (DSM) products as Cloud optimized GeoTIFFs (COG) or standard GeoTIFF. The dataset contains multiple subsets of data which were each commissioned and flown in response to different organisational requirements. The details of each can be found at https://remotesensingdata.gov.scot/data#/list
autonomous vehicleslidarroboticstransportationurban
nuPlan is the world's first large-scale planning benchmark for autonomous driving.
autonomous vehiclescomputer visiongeospatiallidarrobotics
Home of the Argoverse datasets.Public datasets supported by detailed maps to test, experiment, and teach self-driving vehicles how to understand the world around them.This bucket includes the following datasets:
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...
coastalcogearth observationelevationgeospatiallidarstac
The New Zealand Coastal Elevation dataset consists of New Zealand's publicly owned coastal digital elevation models, which are freely available to use under an open licence. The data consists of bare earth (DEM) data that traverses the coastal zone, including the seabed down to approximately 25m in depth. Data is provided as nationally consistent 1m resolution tiles derived from LiDAR surveys.All of the coastal elevation files are Cloud Optimised GeoTIFFs using LERC compression for the main grid and LERC compression with lower max_z_error for the overviews. These elevation files are accomp...
citieselevationgeospatiallandlidarmappingurban
The objective of the Mapa 3D Digital da Cidade (M3DC) of the São Paulo City Hall is to publish LiDAR point cloud data. The initial data was acquired in 2017 by aerial surveying and future data will be added. This publicly accessible dataset is provided in the Entwine Point Tiles format as a lossless octree, full density, based on LASzip (LAZ) encoding.
autonomous racingautonomous vehiclescomputer visionGNSSimage processinglidarlocalizationobject detectionobject trackingperceptionradarrobotics
The RACECAR dataset is the first open dataset for full-scale and high-speed autonomous racing. Multi-modal sensor data has been collected from fully autonomous Indy race cars operating at speeds of up to 170 mph (273 kph). Six teams who raced in the Indy Autonomous Challenge during 2021-22 have contributed to this dataset. The dataset spans 11 interesting racing scenarios across two race tracks which include solo laps, multi-agent laps, overtaking situations, high-accelerations, banked tracks, obstacle avoidance, pit entry and exit at different speeds. The data is organized and released in bot...
aerial imageryearth observationelevationgeospatialland coverlidar
The State of Vermont has partnered with Amazon's Open Data Initative to make a wide range of geospatial data available in the public domain. Vermont acquires aerial imagery and LiDAR during leaf-off conditions. The imagery typically ranges from 30-centimeter to 15-centimeter in resolution and is available from Vermont's Amazon S3 bucket in a Cloud Optimized GeoTiff (COG) format. LiDAR data has been acquired and is available as USGS Quality Level-1 (QL1) and Level-2 (QL2) compliant datasets in COG format. Geospatial datasets derived from imagery and/or lidar are also available as COGs, ...
aerial imageryagriculturecogdsmdtmearth observationgeospatialhigh-throughput imagingimage processinglidarmappingstactiff
A user-generated geospatial data collection maintained by the Data to Science platform. Contributions vary by project, but typically include cloud-optimized datasets such as Cloud-Optimized GeoTIFFs (COGs) and Cloud-Optimized Point Clouds (COPCs), designed for efficient streaming, visualization, and analysis in modern geospatial applications.
autonomous vehiclesbenchmarkcomputer visionenvironmentalextreme weathergeospatialGNSSIMUlidarlocalizationmappingmeteorologicalperceptionradarRINEXroboticssignal processing
The FoMo dataset is a multi-season collection recorded in a boreal forest environment, featuring deep snow, off-road terrain, steep slopes, and highly variable weather. It provides synchronized multi-modal sensor data—including two lidars (RoboSense and Leishen), an FMCW radar (Navtech), stereo and monocular cameras, dual IMUs, wheel odometry, power data, calibration sequences, and precise ground-truth trajectories via GNSS-PPK fusion. Designed to support research on robust robot autonomy under adverse conditions, FoMo includes repeated traversals of six trajectories of varying complexity for ...
agriculturelidarlocalizationmappingrobotics
AG-LOAM dataset has been released to facilitate the evaluation of LiDAR-based odometry algorithms in agricultural environments.
elevationfloodsgeospatiallandlidarurban
The LiDAR Point Clouds is a product that is part of the CanElevation Series created to support the National Elevation Data Strategy implemented by NRCan. This product contains point clouds from various airborne LiDAR acquisition projects conducted in Canada. These airborne LiDAR acquisition projects may have been conducted by NRCan or by various partners. The LiDAR point cloud data is licensed under an open government license and has been incorporated into the National Elevation Data Strategy. Point cloud files are distributed by LiDAR acquisition project without integration between projects. The point cloud files are distributed using the compressed .LAZ / Cloud Optimized Point Cloud (COPC) format. The COPC open format is an octree reorganization of the data inside a .LAZ 1.4 file. It allows efficient use and visualization rendering...
cogconservationdeep learningearth observationenvironmentalgeospatialimage processingland coverlidarsatellite imagery
Mean canopy Tree Height for the Amazon Forest on the period 2020-2024 at 4.78 m of spatial resolution. Created using a deep learning model on high-resolution Planet imagery from the Norway's International Climate and Forest Initiative (NICFI) Satellite Data Program. From the original research paper https://doi.org/10.48550/arXiv.2501.10600
agriculturecomputer visionIMUlidarlocalizationmappingrobotics
CitrusFarm is a multimodal agricultural robotics dataset that provides both multispectral images and navigational sensor data for localization, mapping and crop monitoring tasks.
agricultureearth observationgeospatialimaginglidarmappingnatural resourcesustainability
The State of Indiana Geographic Information Office and IOT Office of Technology manage a series of digital LiDAR LAS files stored in AWS, dating back to the 2011-2013 collection and including the NRCS-funded 2016-2020 collection. These LiDAR datasets are available as uncompressed LAS files, for cloud storage and access. Each year's data is organized into a tile grid scheme covering the entire geography of Indiana, ensuring easy access and efficient processing. The tiles' naming reflects each tile's lower left coordinate, facilitating accurate data management and retrieval. The AWS ...
autonomous vehiclescomputer visionlidarmarine navigationrobotics
This dataset presents a multi-modal maritime dataset acquired in restricted waters in Pohang, South Korea. The sensor suite is composed of three LiDARs (one 64-channel LiDAR and two 32-channel LiDARs), a marine radar, two visual cameras used as a stereo camera, an infrared camera, an omnidirectional camera with 6 directions, an AHRS, and a GPS with RTK. The dataset includes the sensor calibration parameters and SLAM-based baseline trajectory. It was acquired while navigating a 7.5 km route that includes a narrow canal area, inner and outer port areas, and a near-coastal area. The aim of this d...
autonomous vehiclescomputer visiondeep learningimage processinglidarmachine learningmappingroboticstraffictransportationurbanweather
The Aurora Multi-Sensor Dataset is an open, large-scale multi-sensor dataset with highly accurate localization ground truth, captured between January 2017 and February 2018 in the metropolitan area of Pittsburgh, PA, USA by Aurora (via Uber ATG) in collaboration with the University of Toronto. The de-identified dataset contains rich metadata, such as weather and semantic segmentation, and spans all four seasons, rain, snow, overcast and sunny days, different times of day, and a variety of traffic conditions.
The Aurora Multi-Sensor Dataset contains data from a 64-beam Velodyne HDL-64E LiDAR s...
earth observationgeosciencegeospatialland coverlidarmappingsurvey
The goal of this project is to collect all publicly available large scale LiDAR datasets and archive them in an uniform fashion for easy access and use. Initial efforts to collect the datasets are concentrated on Europe and will be in future expanded to USA and other regions, striving for global coverage. Every dataset includes files in original data format and translated to COPC format. For faster browsing, we include an overview file that includes a small subset of data points from every dataset file in a single COPC file.
autonomous vehiclescomputer visionlidarmappingroboticstransportationurbanweather
This research presents a challenging multi-agent seasonal dataset collected by a fleet of Ford autonomous vehicles at different days and times during 2017-18. The vehicles The vehicles were manually driven on an average route of 66 km in Michigan that included a mix of driving scenarios like the Detroit Airport, freeways, city-centres, university campus and suburban neighbourhood, etc. Each vehicle used in this data collection is a Ford Fusion outfitted with an Applanix POS-LV inertial measurement unit (IMU), four HDL-32E Velodyne 3D-lidar scanners, 6 Point Grey 1.3 MP Cameras arranged on the...
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...
demdisaster responsegeospatiallidarnatural resourcesatellite imagerysustainability
NUVIEW hosts and manages a unified collection of geospatial datasets from multiple U.S. states and agencies
(LiDAR, orthophoto imagery, DEM/DSM, and derivative products). Data are organized in a
single S3 bucket with a logical sub-folder hierarchy: /state_or_agency_product_type/acqusition_project_name/.... All assets
are cloud-optimized (COG GeoTIFFs, COPC (Cloud Optimized Point Cloud) LAZ point clouds, etc.) and available under open licenses.
autonomous vehiclescomputer visiondeep learninglidarmachine learningmappingrobotics
An open multi-sensor dataset for autonomous driving research. This dataset comprises semantically segmented images, semantic point clouds, and 3D bounding boxes. In addition, it contains unlabelled 360 degree camera images, lidar, and bus data for three sequences. We hope this dataset will further facilitate active research and development in AI, computer vision, and robotics for autonomous driving.
autonomous vehiclescomputer visionlidarradarrobotics
This autonomous marine navigation dataset includes data from a 360-degree Navtech radar, a 128-beam Ouster OS1 lidar with integrated IMU, a Teledyne Bumblebee stereo camera, Oculus M3000d imaging sonar, motor inputs, and GNSS. This dataset was collected on a lake and reservoir in Ontario, Canada. The intended purpose of this dataset is to enable the development and benchmarking of autonomous navigation algorithms in aquatic environments. In the future, we hope to release localization and odometry benchmarks.
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 ...
disaster responseelevationgeospatialjapaneselandlidarmapping
This dataset comprises high-precision 3D point cloud data that covers all prefectures throughout Japan. The data is produced through aerial laser surveys, airborne laser bathymetry, and mobile mapping systems, representing the culmination of many years of dedicated effort. This data will be visualized and analyzed for use in infrastructure maintenance, disaster prevention measures, and autonomous vehicle driving.
disaster responseelevationgeospatialjapaneselandlidarmapping
This dataset comprises high-precision 3D point cloud data that encompasses the entire Kanagawa prefecture in Japan. The data is produced through aerial laser survey, airborne laser bathymetry and mobile mapping systems, the culmination of many years of dedicated effort. This data will be visualized and analyzed for use in infrastructure maintenance, disaster prevention measures and autonomous vehicle driving.
autonomous vehiclescomputer visiondeep learningGPSIMUlidarlogisticsmachine learningobject detectionobject trackingperceptionradarroboticstransportation
A large scale multimodal dataset for Autonomous Trucking. Sensor data was recorded with a heavy truck from MAN equipped with 6 lidars, 6 radars, 4 cameras and a high-precision GNSS. MAN TruckScenes allows the research community to come into contact with truck-specific challenges, such as trailer occlusions, novel sensor perspectives, and terminal environments for the first time. It comprises more than 740 scenes of 20s each within a multitude of different environmental conditions. Bounding boxes are available for 27 object classes, 15 attributes, and a range of more than 230m. The scenes are t...
autonomous vehiclescomputer visiondeep learningevent cameraglobal shutter cameraGNSSGPSh5hdf5IMUlidarmachine learningperceptionroboticsRTK
M3ED is the first multi-sensor event camera (EC) dataset focused on high-speed dynamic motions in robotics applications. M3ED provides high-quality synchronized data from multiple platforms (car, legged robot, UAV), operating in challenging conditions such as off-road trails, dense forests, and performing aggressive flight maneuvers. M3ED also covers demanding operational scenarios for EC, such as high egomotion and multiple independently moving objects. M3ED includes high-resolution stereo EC (1280×720), grayscale and RGB cameras, a high-quality IMU, a 64-beam LiDAR, and RTK localization.
climatedisaster responseelevationgeospatiallidarstac
Lidar (light detection and ranging) is a technology that can measure the 3-dimentional location of objects, including the solid earth surface. The data consists of a point cloud of the positions of solid objects that reflected a laser pulse, typically from an airborne platform. In addition to the position, each point may also be attributed by the type of object it reflected from, the intensity of the reflection, and other system dependent metadata. The NOAA Coastal Lidar Data is a collection of lidar projects from many different sources and agencies, geographically focused on the coastal areas of the ...
elevationgeospatiallidarmapping
Elevation datasets in New Jersey have been collected over several years as several discrete projects. Each project covers a geographic area, which is a subsection of the entire state, and has differing specifications based on the available technology at the time and project budget. The geographic extent of one project may overlap that of a neighboring project. Each of the 18 projects contains deliverable products such as LAS (Lidar point cloud) files, unclassified/classified, tiled to cover project area; relevant metadata records or documents, most adhering to the Federal Geographic Data Com...
bathymetrydisaster responseelevationgeospatialjapaneselandlidarmapping
This dataset comprises high-precision 3D point cloud data that encompasses the entire Shizuoka prefecture in Japan, covering 7,200 out of its 7,777 square kilometers. The data is produced through aerial laser survey, airborne laser bathymetry and mobile mapping systems, the culmination of many years of dedicated effort.This data will be visualized and analyzed for use in infrastructure maintenance, disaster prevention measures and autonomous vehicle driving.
autonomous vehiclesbroadbandcomputer visionlidarmachine learningsegmentationus
"The DARPA Invisible Headlights Dataset is a large-scale multi-sensor dataset annotated for autonomous, off-road navigation in challenging off-road environments. It features simultaneously collected off-road imagery from multispectral, hyperspectral, polarimetric, and broadband sensors spanning wave-lengths from the visible spectrum to long-wave infrared and provides aligned LIDAR data for ground-truth shape. Camera calibrations, LiDAR registrations, and traversability annotations for a subset of the data are available."
disaster responseelevationgeospatiallidar
The U.S. Cities elevation data collection program supported the US Department of Homeland Security Homeland Security and Infrastructure Program (HSIP). As part of the HSIP Program, there were 133+ U.S. cities that had imagery and LiDAR collected to provide the Homeland Security, Homeland Defense, and Emergency Preparedness, Response and Recovery (EPR&R) community with common operational, geospatially enabled baseline data needed to analyze threat, support critical infrastructure protection and expedite readiness, response and recovery in the event of a man-made or natural disaster. As a pa...
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....
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...
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....
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....
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....
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....
elevationicelidarradar
This data set contains radar echograms acquired by the University of Alaska Fairbanks High-Frequency Radar Sounder over select glaciers in Alaska....
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....
elevationicelidarradar
This data set contains radar echograms acquired by the Arizona Radio-Echo Sounder (ARES) over select glaciers in Alaska....
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....
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....
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....
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-...
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 ...
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...
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...
atmosphereearth observationicelidarprecipitationradar
An inventory of NASA's airborne and field campaigns for Earth Science...
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...
earth observationlidarsatellite imagery
An inventory of NASA's airborne and field campaigns for Earth Science...
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....
atmospherecarbonclimateearth observationhydrologyiceland coverlidaroceansprecipitationradarsatellite imagerysoil moistureweather
An inventory of NASA's airborne and field campaigns for Earth Science...
atmosphereclimateearth observationhdficelidarnetcdfsatellite imageryweather
Earth Orbiter...
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...
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...
atmospherecarbonclimateearth observationelevationhydrologyicelidaroceansprecipitationradarsatellite imagerysoil moisturestacweather
An inventory of NASA's airborne and field campaigns for Earth Science...
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...
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...
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...
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...
earth observationlidaroceanssatellite imagery
An inventory of NASA's airborne and field campaigns for Earth Science...
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 ...
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...
atmospherecarbonelevationgeospatialicelidarnetcdfoceansradarweather
An inventory of NASA's airborne and field campaigns for Earth Science...
atmospherecarbonclimatecogearth observationelevationhdfhydrologyiceland coverlidarnetcdfoceansprecipitationsatellite imagerysoil moistureweather
An inventory of NASA's airborne and field campaigns for Earth Science...
earth observationlidarsatellite imagery
An inventory of NASA's airborne and field campaigns for Earth Science...
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....
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...
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...
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...
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 ...
elevationicelidaroceansradarsatellite imagery
Level-1A altimetry data (GLAH01) include the transmitted and received waveform from the altimeter. Each data granule has an associated browse product....
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)....
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)....
climatedisaster responseelevationgeospatiallidarstac
The Unified Forecast System (UFS) is a community-based, coupled, comprehensive Earth Modeling System. The UFS Coastal application is a project under development by NOAA and NCAR, which supports coastal forecasting requirements based on UFS standards. The coupling infrastructure for UFS Coastal App is currently being developed based on a fork of the ufs-weather-model (UFS-WM), with additional coastal model-components including SCHISM, ADCIRC, ROMS, and FVCOM, as well as additional infrastructure to support coastal coupling of WW3 and CICE. The model-level repository contains the model code and external submo...