The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) provides a simple and user-friendly way to access and transform geospatial data. It enables users to efficiently subset data spatially, temporally, and by layer, significantly reducing the volume of data downloaded for analysis. Sample requests can be submitted to AppEEARS using the graphical user interface (GUI) on the webpage or through the application programming interface (API). Processed requests provide users with data values and associated quality data for a variety of remote sensing data products archived by NASA's Land Processes Distributed Active Archive Center (LP DAAC) as well as multiple other federal archives. Users can submit sample requests for point geographic coordinates or area-based vector polygons. Additionally, interactive visualizations with summary statistics of the sample results are provided to allow the user to preview and interact with their sample before downloading the data.
Some popular datasets available through AppEEARS include data from the Ecosystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS), Earth Surface Mineral Dust Source Investigation (EMIT), Harmonized Landsat Sentinel-2 (HLS), Landsat U.S. Analysis Ready Data (ARD) , NASA Shuttle Radar Topography Mission (SRTM), Moderate Resolution Imaging Spectroradiometer (MODIS), Visible Infrared Imaging Radiometer Suite (VIIRS), Soil Moisture Active Passive (SMAP), Daymet, and Gridded Population of the World (GWP) collections. The complete list of data products available in AppEEARS can be found on the Available Products page. Users are encouraged to cite both the AppEEARS software and data products. All citations are included in the "Data Product Citations" and "Software Citation" sections of the README.md generated for each request.
The AppEEARS Documentation and API Documentation provide detailed instructions for using AppEEARS through the GUI and API. Additional guides, along with R and Python resources, are available in the AppEEARS-Data-Resources GitHub repository.
Contact the AppEEARS team via email to ask questions or provide feedback via the feedback form.