Usage examples for all datasets listed in the Registry of Open Data on AWS tagged with geospatial.
Tutorials
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A solar azimuth formula that renders circumstantial treatment unnecessary without compromising mathematical rigor: Mathematical setup, application and extension of a formula based on the subsolar point and atan2 function by Zhang, T., P. W. Stackhouse, B. Macpherson, and J. C. Mikovitz
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Application of a global-to-beam irradiance model to the NASA GEWEX SRB dataset: An extension of the NASA Surface meteorology and Solar Energy datasets by Zhang, T., P. W. Stackhouse, W. S. Chandler, and D. J. Westberg
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Application of Satellite Sensor Data and Models for Energy Management by Zell, E., J. Engel-Cox, R. Eckman, and P. Stackhouse
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Association between solar insolation and a history of suicide attempts in bipolar I disorder by Bauer M, et al., Stackhouse PW Jr., et al.
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CEOS contributions to informing energy management and policy decision making using space-based Earth observations by Eckman, R. S., and P. W. Stackhouse
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Enhancing Climate Resilience at NASA Centers: A Collaboration between Science and Stewardship by Rosenzweig, C., and Coauthors
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Evaluation of NASA satellite- and assimilation model-derived long-term daily temperature data over the continental US by White, J. W., G. Hoogenboom, P. W. Stackhouse, and J. M. Hoell
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Evaluation of Satellite-Based, Modeled-Derived Daily Solar Radiation Data for the Continental United States by White, J. W., G. Hoogenboom, P. W. Wilkens, P. W. Stackhouse, and J. M. Hoel
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Global Surface Solar Energy Anomalies Including El Nino and La Nina Years. by C. H., and Coauthors
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Modeling the potential for thermal concentrating solar power technologies by Zhang, Y., S. J. Smith, G. P. Kyle, and P. W. Stackhouse
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NASA Climatological Data for Renewable Energy Assessment by Chandler, W. S., C. H. Whitlock, and P. W. Stackhouse
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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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Variations in seasonal solar insolation are associated with a history of suicide attempts in bipolar I disorder by Bauer, M., and Coauthors
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Beginner’s Guide to GOES-R Series Data by Danielle Losos
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Billions of Birds Migrate. Where Do They Go? by National Geographic
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Comparison of Lightning Forecasts from the High-Resolution Rapid Refresh Model to Geostationary Lightning Mapper Observations by Brian K. Blaylock, and John D. Horel
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Embracing the cloud for climate research by North Carolina State University’s North Carolina Institute for Climate Studies
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GOES Quick Guides (Spanish) by Anthony Segura García
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Identifying the Causes of Pyrocumulonimbus (PyroCb) by Emiliano Díaz Salas-Porras, Kenza Tazi, Ashwin Braude, Daniel Okoh, Kara D. Lamb, Duncan Watson-Parris, Paula Harder, and Nis Meinert
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Imaging Considerations From a Geostationary Orbit Using the Short Wavelength Side of the Mid-Infrared Water Vapor Absorption Band by N.B. Miller, M.M. Gunshor, A.J. Merrelli, T.S. L'Ecuyer, T.J. Schmit, J.J. Gerth, N.J. Gordillo
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Observations of lightning in relation to transitions in volcanic activity during the 3 June 2018 Fuego Eruption by Christopher J. Schultz, Virginia P. Andrews, Kimberly D. Genareau, and Aaron R. Naeger
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Solar irradiance forecasting for the solar powered future by Solcast
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SunCast: Solar Irradiance Nowcasting from Geosynchronous Satellite Data by Dhileeban Kumaresan, Richard Wang, Ernesto Martinez, Richard Cziva, Alberto Todeschini, Colorado J Reed, Hossein Vahabi
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The Use of Composite GOES-R Satellite Imagery to Evaluate a TC Intensity and Vortex Structure Forecast by an FV3GFS-Based Hurricane Forecast Model by Shaowu Bao, Zhan Zhang, Evan Kalina, and Bin Liu
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Interactive Visualization of 3D Terrain Data Stored in the Cloud by Gregory Larrick, Yun Tian, Uri Rogers, Halim Acosta, and Fangyang Shen
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Landscape transformations produce favorable roosting conditions for turkey vultures and black vultures by Jacob E. Hill, Kenneth F. Kellner, Bryan M. Kluever, Michael L. Avery, John S. Humphrey, Eric A. Tillman, Travis L. DeVault & Jerrold L. Belant
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Antarctic calving loss rivals ice-shelf thinning by Greene, C.A., A.S. Gardner, N.-J. Schlegel, and A.D. Fraser
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Autonomous Repeat Image Feature Tracking (autoRIFT) and Its Application for Tracking Ice Displacement. Remote Sensing by Lei, Y., A.S. Gardner, and P. Agram
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Detecting seasonal ice dynamics in satellite images by Greene, C.A., A.S. Gardner, and L.C. Andrews
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Elevation change of the Antarctic Ice Sheet: 1985 to 2020 by Nilsson, J., A.S. Gardner, and F.S. Paolo
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Increased West Antarctic and unchanged East Antarctic ice discharge over the last 7 years by Gardner, A. S., G. Moholdt, T. Scambos, M. Fahnstock, S. Ligtenberg, M. van den Broeke, and J. Nilsson
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Processing methodology for the ITS_LIVE Sentinel-1 ice velocity products by Lei, Y., A.S. Gardner, and P. Agram
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Ubiquitous acceleration in Greenland Ice Sheet calving from 1985 to 2022 by Greene, C.A., A.S. Gardner, M. Wood, and J.K. Cuzzone
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Widespread slowdown in thinning rates of West Antarctic Ice Shelves by Paolo, F. S., A.S. Gardner, C.A. Greene, J. Nilsson, M.P. Schodlok, N.-J. Schlegel, and H.A. Fricker
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ESA WorldCover 10 m 2020 v100 by Zanaga, D., Van De Kerchove, R., De Keersmaecker, W., Souverijns, N., Brockmann, C., Quast, R., Wevers, J., Grosu, A., Paccini, A., Vergnaud, S., Cartus, O., Santoro, M., Fritz, S., Georgieva, I., Lesiv, M., Carter, S., Herold, M., Li, Linlin, Tsendbazar, N.E., Ramoino, F., Arino, O., 2021.
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ESA WorldCover 10 m 2020 v100 - Product User Manual by VITO
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ESA WorldCover 10 m 2021 v200 by Zanaga, D., Van De Kerchove, R.,Daems, D.,De Keersmaecker, W., Brockmann, C., Kirches, G., Wevers, J., Cartus, O., Santoro, M., Fritz, S., Lesiv, M., Herold, M., Tsendbazar, N.E., Xu, P., Ramoino, F., Arino, O.
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ESA WorldCover 10 m 2021 v200 - Product User Manual by VITO
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Fusing GEDI with earth observation data for large area aboveground biomass mapping by Yuri Shendryk
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Release of the 10 m WorldCover map by Ruben Van De Kerchove
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The world's most populated and greenest megacities (and how we found out) by Michael Dangermond, Emily Meriam
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WorldCover taking it to the next level by Ruben Van De Kerchove
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Accelerating Ukraine Intelligence Analysis with Computer Vision on Synthetic Aperture Radar Imagery by Ritwik Gupta, Colorado Reed, Anja Rohrbach, and Trevor Darrell
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Creating Training Datasets for the SpaceNet Road Detection and Routing Challenge by Adam Van Etten and Jake Shermeyer
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Deploying the SpaceNet 6 Baseline on AWS by Adam Van Etten and Nick Weir
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FCAU-Net for the Semantic Segmentation of Fine-Resolution Remotely Sensed Images by Xuerui Niu, Qiaolin Zeng, Xiaobo Luo and Liangfu Chen
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Introducing the SpaceNet Off-Nadir Imagery Dataset by David Lindenbaum
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Introducing the SpaceNet Road Detection and Routing Challenge and Dataset by David Lindenbaum
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SpaceNet 5 Dataset Release by Adam Van Etten and Ryan Lewis
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SpaceNet 6: Dataset Release by Jake Shermeyer
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SpaceNet 8 - The Detection of Flooded Roads and Buildings by Ronny Hansch, Jacob Arndt, Dalton Lunga, Matthew Gibb, Tyler Pedelose, Arnold Boedihardjo, Desiree Petrie, Todd M. Bacastow
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SpaceNet: Winning Implementations and New Imagery Release by Todd Stavish
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The SpaceNet 7 Multi-Temporal Urban Development Challenge: Dataset Release by Adam Van Etten
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The SpaceNet 8 Flood Detection Challenge: Dataset and Algorithmic Baseline Release by SpaceNet
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2021 Amazon Last Mile Routing Research Challenge: Data Set by Daniel Merchán, Jatin Arora, Julian Pachon, Karthik Konduri, Matthias Winkenbach, Steven Parks, Joseph Noszek
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Can language models be used for real-world urban-delivery route optimization? by Yang Liu, Fanyou Wu, Zhiyuan Liu, Kai Wang, Feiyue Wang, Xiaobo Qu
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Constrained Local Search for Last-Mile Routing by William Cook, Stephan Held, Keld Helsgaun
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Crowdkeeping in Last-Mile Delivery by Xin Wang , Okan Arslan , Erick Delage
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Does parking matter? The impact of parking time on last-mile delivery optimization by Sara Reed, Ann Melissa Campbell, Barrett W. Thomas
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Human-Centric Parcel Delivery at Deutsche Post with Operations Research and Machine Learning by Uğur Arikan , Thorsten Kranz, Baris Cem Sal, Severin Schmitt, Jonas Witt
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Integrating driver behavior into last-mile delivery routing - Combining machine learning and optimization in a hybrid decision support framework by Peter Dieter, Matthew Caron, Guido Schryen
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Inverse Optimization for Routing Problems by Pedro Zattoni Scroccaro, Piet van Beek, Peyman Mohajerin Esfahani, Bilge Atasoy
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Learn global and optimize local A data-driven methodology for last-mile routing by Mayukh Ghosh, Alex Kuiper, Roshan Mahes, Donato Maragno
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Machine Learning for Data-Driven Last-Mile Delivery Optimization by Sami Serkan Özarik, Paulo da Costa, Alexandre M. Florio
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Making opportunity sales in attended home delivery by Çelen Naz Ötken, Bariş Yildiz, Okan Arslan, Gilbert Laporte
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Planning robust drone-truck delivery routes under road traffic uncertainty by Yu Yang, Chiwei Yan, Yufeng Cao, Roberto Roberti
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Predicting drivers route trajectories in last-mile delivery using a pair-wise attention-based pointer neural network by Baichuan Mo, Qingyi Wang, Xiaotong Guo, Matthias Winkenbach, Jinhua Zhao
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Probability estimation and structured output prediction for learning preferences in last mile delivery by Rocsildes Canoy, Victor Bucarey, Jayanta Mandi, Maxime Mulamba, Yves Molenbruch, Tias Guns
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The Driver-Aide Problem Coordinated Logistics for Last-Mile Delivery by S. Raghavan , Rui Zhang
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Analysing effects of drought on inundation extent and vegetation cover dynamics in the Okavango Delta by Kelebogile Mfundisi, Kenneth Mubea, Fang Yuan, Chad Burton and Edward Boamah
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Water Observations from Space: accurate maps of surface water through time for the continent of Africa by Meghan Halabisky, Kenneth Mubea, Fatou Mar, Fang Yuan, Chad Burton, Eloise Birchall, Negin F. Moghaddam, Sena Ghislain Adimou, Bako Mamane, David Ongo, Edward Boamah, Ee-Faye Chong, Nikita Gandhi, Alex Leith, Lisa Hall and Adam Lewis
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Accelerate disaster response with computer vision for satellite imagery using Amazon SageMaker and Amazon Augmented AI by Vamshi Krishna Enabothala, Morgan Dutton, and Sandeep Verma
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An overview on the evaluated video retrieval tasks at TRECVID 2022 by George Awad, Keith Curtis, Asad Butt, Jonathan Fiscus, Afzal Godil, Yooyoung Lee, Andrew Delgado, Eliot Godard, Lukas Diduch, Jeffrey Liu, Yvette Graham, Georges Quenot
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Evaluating Multiple Video Understanding and Retrieval Tasks at TRECVID 2021 by George Awad, Asad Butt, Keith Curtis, Jonathan G. Fiscus, Afzal A. Godil, Yooyoung Lee, Andrew Delgado, Eliot Godard, Baptiste Chocot, Lukas Diduch, Jeffrey Liu, Yvette Graham, Gareth Jones, Georges Quenot
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Large Scale Organization and Inference of an Imagery Dataset for Public Safety by Jeffrey Liu, David Strohschein, Siddharth Samsi, Andrew Weinert
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Train and Deploy an Image Classifier for Disaster Response by Jianyu Mao, Kiana Harris, Nae-Rong Chang, Caleb Pennell, Yiming Ren
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TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains by George Awad, Asad A. Butt, Keith Curtis, Jonathan Fiscus, Afzal Godil, Yooyoung Lee, Andrew Delgado, Jesse Zhang, Eliot Godard, Baptiste Chocot, Lukas Diduch, Jeffrey Liu, Alan F. Smeaton, Yvette Graham, Gareth J. F. Jones, Wessel Kraaij, Georges Quenot
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Video Testing at the FirstNet Innovation and Test Lab Using a Public Safety Dataset by Chris Budny, Jeffrey Liu, Andrew Weinert
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A Boundary Regulated Network for Accurate Roof Segmentation and Outline Extraction by Guangming Wu, Zhiling Guo, Xiaodan Shi, Qi Chen, Yongwei Xu, Ryosuke Shibasaki and Xiaowei Shao
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A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning by T. Nathan Mundhenk, Goran Konjevod, Wesam A. Sakla & Kofi Boakye
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Deep Learning and Phenology Enhance Large-Scale Tree Species Classification in Aerial Imagery during a Biosecurity Response by Grant D. Pearse, Michael S. Watt, Julia Soewarto and Alan Y. S. Tan
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Semantic Segmentation of Urban Buildings from VHR Remote Sensing Imagery Using a Deep Convolutional Neural Network by Yaning Yi, Zhijie Zhang, Wanchang Zhang, Chuanrong Zhang, Weidong Li and Tian Zhao
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Estimating rooftop solar technical potential across the US using a combination of GIS-based methods, lidar data, and statistical modeling by Pieter Gagnon et al 2018 Environ. Res. Lett. 13 024027
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On the Use of Coupled Wind, Wave, and Current Fields in the Simulation of Loads on BottomSupported Offshore Wind Turbines during Hurricanes by E. Kim, L. Manuel, M. Curcic, S. S. Chen, C. Phillips, P. Veers
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Rooftop Solar Photovoltaic Technical Potential in the United States: A Detailed Assessment by Pieter Gagnon, Robert Margolis, Jennifer Melius, Caleb Phillips, and Ryan Elmore
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Rooftop Solar Technical Potential for Low-to-Moderate Income Households in the United States by Benjamin Sigrin and Meghan Mooney
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The Distributed Generation Market Demand Model (dGen):Documentation by B. Sigrin, M. Gleason, R. Preus, I. Baring-Gould, R. Margolis
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Tracking the Sun Pricing and Design Trends for Distributed Photovoltaic Systems in the United States: 2019 Edition by G. Barbose, N. Darghouth
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Using GIS-based methods and lidar data to estimate rooftop solar technical potential in US cities by Robert Margolis et al 2017 Environ. Res. Lett. 12 074013
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HSDS Examples by Caleb Phillips, Caroline Draxl, John Readey, Jordan Perr-Sauer, Michael Rossol
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Development and validation of a high-resolution regional wave hindcast model for U.S. West Coast wave resource characterization by Wu, Wei-Cheng; Wang, Taiping; Yang, Zhaoqing; Garcia Medina, Gabriel
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Development and validation of a regional-scale high-resolution unstructured model for wave energy resource characterization along the US East Coast by Allahdadi, M.N., Gunawan, J. Lai, R. He, V.S. Neary
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High-resolution hindcasts for U.S. wave energy resource characterization by Yang, Z. and V.S. Neary
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High-Resolution Regional Wave Hindcast for the U.S. West Coast by Yang, Zhaoqing; Wu, Wei-Cheng; Wang, Taiping; Castrucci, Luca
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Nearshore wave energy resource characterization along the East Coast of the United States by Ahn, S. V.S. Neary, Allahdadi, N. and R. He
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Predicting ocean waves along the US East Coast during energetic winter storms: sensitivity to whitecapping parameterizations by Allahdadi, M.N., He, R., and Neary, V.S
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SWAN Cycle III version 41.31A by The SWAN team
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A Twenty-Year Analysis of Winds in California for Offshore Wind Energy Production Using WRF v4.1.2 by Alex Rybchuk, Mike Optis, Julie K. Lundquist, Michael Rossol, Walt Musial
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Overview and Meteorological Validation of the Wind Integration National Dataset Toolkit by Caroline Draxl, Bri-Mathias Hodge, Andrew Clifton, Jim McCaa
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Power from wind: Open data on AWS by Caleb Phillips, Caroline Draxl, John Readey, Jordan Perr-Sauer
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The Wind Integration National Dataset (WIND) Toolkit by Caroline Draxl, Andrew Clifton, Bri-Mathias Hodge, Jim McCaa
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Validation of Power Output for the WIND Toolkit by J. King, Andrew Clifton, Bri-Mathias Hodge
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Automated stereo-photogrammetric DEM generation at high latitudes: Surface Extraction with TIN-based Search-space Minimization (SETSM) validation and demonstration over glaciated regions by Myoung-Jong Noh, Ian M. Howat
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Automatic relative RPC image model bias compensation through hierarchical image matching for improving DEM quality by Myoung-Jong Noh, Ian M. Howat
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Dynamic ice loss from the Greenland Ice Sheet driven by sustained glacier retreat by Michalea D. King, Ian M. Howat, Salvatore G. Candela, Myoung J. Noh, Seongsu Jeong, Brice P. Y. Noël, Michiel R. van den Broeke, Bert Wouters, Adelaide Negrete
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Future Evolution of Greenland's Marine-Terminating Outlet Glaciers by Ginny A. Catania, Leigh A. Stearns, Twila A. Moon, Ellen M. Enderlin, R. H. Jackson
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The surface extraction from TIN based search-space minimization (SETSM) algorithm by Myoung-Jong Noh, Ian M. Howat
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Automated stereo-photogrammetric DEM generation at high latitudes: Surface Extraction with TIN-based Search-space Minimization (SETSM) validation and demonstration over glaciated regions by Myoung-Jong Noh, Ian M. Howat
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Automatic relative RPC image model bias compensation through hierarchical image matching for improving DEM quality by Myoung-Jong Noh, Ian M. Howat
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Deep glacial troughs and stabilizing ridges unveiled beneath the margins of the Antarctic ice sheet by Morlighem, M., Rignot, E., Binder, T. et al.
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The Reference Elevation Model of Antarctica by Ian M. Howat, Claire Porter, Benjanim E. Smith, Myoung-Jong Noh, Paul Morin
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The surface extraction from TIN based search-space minimization (SETSM) algorithm by Myoung-Jong Noh, Ian M. Howat
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Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting by Benjamin Wilson, William Qi, Tanmay Agarwal, John Lambert, Jagjeet Singh, Siddhesh Khandelwal, Bowen Pan, Ratnesh Kumar, Andrew Hartnett, Jhony Kaesemodel Pontes, Deva Ramanan, Peter Carr, James Hays
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Argoverse: 3D Tracking and Forecasting With Rich Maps by Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, James Hays
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Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection by John Lambert, James Hays
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DAS and DTS at Brady Hot Springs: Observations about Coupling and Coupled Interpretations by Douglas E. Miller, Thomas Coleman, Xiangfang Zeng, Jeremy R. Patterson , Elena C. Reinnisch, Michael A. Cardiff, Herbert F. Wang, Dante Fratta, Whitney Trainor-Guitton, Clifford H. Thurber, Michelle ROBERTSON, Kurt FEIGL, and The PoroTomo Team
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Ground motion response to an ML 4.3 earthquake using co-located distributed acoustic sensing and seismometer arrays by Herbert F Wang, Xiangfang Zeng, Douglas E Miller, Dante Fratta, Kurt L Feigl, Clifford H Thurber, Robert J Mellors
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PoroTomo Final Technical Report: Poroelastic Tomography by Adjoint Inverse Modeling of Data from Seismology, Geodesy, and Hydrology by Kurt L. Feigl, Lesley M. Parker, and the PoroTomo Team
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ESA WorldCover 10 m 2021 v200 by Zanaga, D., Van De Kerchove, R.,Daems, D.,De Keersmaecker, W., Brockmann, C., Kirches, G., Wevers, J., Cartus, O., Santoro, M., Fritz, S., Lesiv, M., Herold, M., Tsendbazar, N.E., Xu, P., Ramoino, F., Arino, O.
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ESA WorldCover 10 m 2021 v200 - Product User Manual by VITO
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Release of the 10 m WorldCover map by Ruben Van De Kerchove
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Automated stereo-photogrammetric DEM generation at high latitudes: Surface Extraction with TIN-based Search-space Minimization (SETSM) validation and demonstration over glaciated regions by Myoung-Jong Noh, Ian M. Howat
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Multi-Source EO for Dynamic Wetland Mapping and Monitoring in the Great Lakes Basin by Michael J. Battaglia, Sarah Banks, Amir Behnamian, Laura Bourgeau-Chavez, Brian Brisco, Jennifer Corcoran, Zhaohua Chen, Brian Huberty, James Klassen, Joseph Knight, Paul Morin, Kevin Murnaghan, Keith Pelletier, Lori White
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The surface extraction from TIN based search-space minimization (SETSM) algorithm by Myoung-Jong Noh, Ian M. Howat
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Generating Global Temporal Coherence Maps from one year of Sentinel-1 C-band data, ESA Fringe 2021 Poster (Youtube) by Oliver Cartus, Josef Kellndorfer, Shadi Oveisgharan, Batu Osmanoglu, Paul Rosen, Urs Wegmüller
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Global seasonal Sentinel-1 interferometric coherence and backscatter data set by Josef Kellndorfer, Oliver Cartus, Marco Lavalle, Christophe Magnard, Pietro Milillo, Shadi Oveisgharan, Batu Osmanoglu, Paul A. Rosen, Urs Wegmüller
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Webinar: The new era of SAR Time Series Analysis and Visualization: Cloud meets Big SAR Data. IEEE GRSS Bay Area Chapter (Dec. 3rd 2021) by Josef Kellndorfer
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Every tree counts: Large-scale mapping of canopy height at the resolution of individual trees by Jamie Tolan, Camille Couprie, and Tracy Johns
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Sub-meter resolution canopy height maps using self-supervised learning and a vision transformer trained on Aerial and GEDI Lidar by Jamie Tolan, Hung-I Yang, Ben Nosarzewski, Guillaume Couairon, Huy Vo, John Brandt, Justine Spore, Sayantan Majumdar, Daniel Haziza, Janaki Vamaraju, Theo Moutakanni, Piotr Bojanowski, Tracy Johns, Brian White, Tobias Tiecke, Camille Couprie
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Using Artificial Intelligence to Map the Earth’s Forests by Jamie Tolan, Camille Couprie, John Brandt, Justine Spore, Tobias Tiecke, Tracy Johns and Patrick Nease
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Individual Tree Detection in Large-Scale Urban Environments using High-Resolution Multispectral Imagery by Jonathan Ventura, Milo Honsberger, Cameron Gonsalves, Julian Rice, Camille Pawlak, Natalie L.R. Love, Skyler Han, Viet Nguyen, Keilana Sugano, Jacqueline Doremus, G. Andrew Fricker, Jenn Yost, Matt Ritter
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HSDS Examples by Caleb Phillips, Caroline Draxl, John Readey, Jordan Perr-Sauer, Michael Rossol
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NSRDB Viewer by Manajit Sengupta, Yu Xe, Anthony Lopez, Aron Habte, Galen Maclaurin, James Shelby, Paul Edwards
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Physics-guided machine learning for improved accuracy of the National Solar Radiation Database by Grant Buster, Mike Bannister, Aron Habte, Dylan Hettinger, Galen Maclaurin, Michael Rossol, Manajit Sengupta, Yu Xie
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The National Solar Radiation Data Base (NSRDB) by Manajit Sengupta, Yu Xe, Anthony Lopez, Aron Habte, Galen Maclaurin, James Shelby
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Adjusting for desert-dust-related biases in a climate data record of sea surface temperature (2020). by Merchant, C.J. and Embury, O.
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Satellite-based time-series of sea-surface temperature since 1981 for climate applications (2019). by Merchant, C.J., Embury, O., Bulgin, C.E., Block, T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R. and Donlon, C.
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African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning by Tomislav Hengl, Matthew A. E. Miller, Josip Križan, Keith D. Shepherd, Andrew Sila, Milan Kilibarda, Ognjen Antonijević, Luka Glušica, Achim Dobermann, Stephan M. Haefele, Steve P. McGrath, Gifty E. Acquah, Jamie Collinson, Leandro Parente, Mohammadreza Sheykhmousa, Kazuki Saito, Jean-Martial Johnson, Jordan Chamberlin, Francis B. T. Silatsa, Martin Yemefack, John Wendt, Robert A. MacMillan, Ichsani Wheeler & Jonathan Crouch
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HSDS Examples by Caleb Phillips, Caroline Draxl, John Readey, Jordan Perr-Sauer, Michael Rossol
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NCDB Website by NREL NCDB Team
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If you want to add a dataset or usage example to this registry, please follow the instructions on the Registry of Open Data on AWS GitHub repository or tell us about your project.
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