LP DAAC Data Prep Scripts

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	How to Access the LP DAAC Data Pool with Python How to Access the LP DAAC Data Pool with R
Harmonized Landsat and Sentinel-2 (HLS)	HLS Subsetting, Processing and Exporting Reformatted (HLS SuPER) Script Harmonized Landsat Sentinel-2 (HLS) Bulk Download Script (Bash Script)
Global Ecosystem Dynamics Investigation (GEDI)	GEDI Spatial and Band/layer Subsetting and Export to GeoJSON (GEDI Subsetter) Script Spatial Querying of GEDI Version 2 Data in Python Script Spatial Querying of GEDI Version 2 Data in R Script
ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS)	ECOSTRESS Swath to Grid Conversion Script Extract ECOSTRESS Geolocation Accuracy QA Flag
Geostationary Earth Orbit Land Surface Temperature (GEOLST)	GEOLST4KHR Swath to Grid Conversion Python Script
Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER)	Convert ASTER L1T Radiance to Top of Atmosphere Reflectance Reformat and Georeference ASTER L1T HDF Files
Visible Infrared Imaging Radiometer Suite (VIIRS)	Reformat and Georeference VIIRS Surface Reflectance HDF-EOS5 Files in Python Reformat and Georeference VIIRS Surface Reflectance HDF-EOS5 Files in R
ASTER Global Emissivity Dataset (GED)	Convert ASTER GED V3 Science Datasets to Georeferenced GeoTiffs using R and Python Convert ASTER GED V4.1 Science Datasets to Georeferenced GeoTiffs using R and Python

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.