This collection of R and Python scripts hosted by NASA's Land Processes Distributed Active Archive Center (LP DAAC) can be used to download data and perform basic data processing functions such as georeferencing, reprojecting, converting, and reformatting data. Scripts are available in Python and/or R and each have a README that provides additional information.
| Data Source | GitHub Resources |
|---|---|
| LP DAAC | |
| Harmonized Landsat and Sentinel-2 (HLS) | |
| Global Ecosystem Dynamics Investigation (GEDI) | |
| ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) | |
| Geostationary Earth Orbit Land Surface Temperature (GEOLST) | |
| Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) | |
| Visible Infrared Imaging Radiometer Suite (VIIRS) | |
| ASTER Global Emissivity Dataset (GED) |
Documentation
Documentation for each script is located in a README file in the repository.
Dependencies
Downloading the scripts does not require a login, but an Earthdata Login is required for downloading data from the LP DAAC. Information for how to sign up for an account can be found on the NASA Earthdata Login Website.
