The Microsoft AI for Earth program hosts geospatial data on Azure that is important to environmental sustainability and Earth science. This repo hosts documentation and demonstration notebooks for all the data that is managed by AI for Earth. It also serves as a "staging ground" for the Planetary Computer Data Catalog.
If you have feedback about any of this data, or want to request additions to our data program, email [email protected].
Satellite imagery from the Moderate Resolution Imaging Spectroradiometer (MODIS).
NAIP provides US-wide, high-resolution aerial imagery. This data set includes NAIP images from 2010 to the present.
Satellite imagery from the Landsat 8 and Sentinel-2 satellites, aligned to a common grid and processed to compatible color spaces.
Global optical imagery at 10m resolution from 2016-present.
Global synthetic aperture radar (SAR) data from 2017-present.
Sentinel-1 GRD data are in preview; access is granted by request.
Global multispectral imagery at 300m resolution, with a revisit rate of less than two days, from 2016-present.
Sentinel-3 data are in preview; access is granted by request.
Global atmospheric data from 2018-present.
Sentinel-5P data are in preview; access is granted by request.
Global optical imagery from the Landsat 8 satellite, which has imaged the Earth since 2013.
Global optical imagery from the Landsat 7 satellite, which has imaged the Earth since 1999.
Landsat 7 data are in preview; access is granted by request.
The ASTER instrument, launched on-board NASA's Terra satellite in 1999, provides multispectral images of the Earth at 15m-90m resolution. This data set represents ASTER data from 2000-2006.
Global topographic information from the NASADEM program.
Global estimates of coastal inundation under various sea level rise conditions and return periods at 90m, 1km, and 5km resolutions. Also includes estimated coastal inundation caused by named historical storm events going back several decades.
Estimates of daily weather parameters in North America on a one-kilometer grid, with monthly and annual summaries.
Status and trends on U.S. forest location, health, growth, mortality, and production, from the US Forest Service's Forest Inventory and Analysis (FIA) program.
Weather imagery from the GOES-16 satellite.
Model output data from the NOAA Global Forecast System.
Warm start initial conditions for the NOAA Global Forecast System.
Global rainfall estimates in 15-minute intervals.
Weather forecasts for North America at 13km resolution.
Weather forecasts for North America at 3km spatial resolution and 15 minute temporal resolution.
Global maps of aboveground and belowground biomass carbon density for the year 2010 at 300m resolution.
Annual burn severity mosaics for the continental United States and Alaska.
Global estimates of 10-class land use/land cover (LULC) for 2020, derived from ESA Sentinel-2 imagery at 10m resolution, produced by Impact Observatory.
US-wide data on land cover and land cover change at a 30m resolution with a 16-class legend.
Video data from the Ocean Observatories Initiative seafloor camera deployed at Axial Volcano on the Juan de Fuca Ridge.
Monthly climate and climatic water balance for global terrestrial surfaces from 1958-2019.
Data for COVID-19 researchers exploring relationships between COVID-19 and environmental factors.
Historical climate data for China, from 1851-2010.
Settlement-level measures of electricity access, reliability, and usage derived from VIIRS satellite imagery.
Habitat information for 2,216 imperiled species occurring in the conterminous United States.
Exports of global species occurrence data from the GBIF network.
AI for Earth and partners have assembled a repository of labeled information related to wildlife conservation, particularly wildlife imagery.
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
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This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.
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