Skip to main content

LP DAAC Learning Resources

Explore webinars, trainings, tutorials, and other learning resources from NASA’s Land Processes Distributed Active Archive Center (LP DAAC). Learn how to discover, access, process, and apply Earth science data from platforms and instruments such as MODIS, ASTER, VIIRS, GEDI, ECOSTRESS, EMIT, and HLS.
View all Learning Resources

LP DAAC maintains a collection of dataset and topic-specific GitHub repositories that include step-by-step tutorials, scripts, guides, and example workflows for getting started with LP DAAC data. Users can browse available resources in the LP DAAC Data Resources GitHub repository, which serves as a central hub and provides links to additional LP DAAC–maintained GitHub repositories for specific datasets and topics. 

Filters
Group 2 Band Depth data from the EMITL2BMIN version 1 product over the Gobi Desert in southern Mongolia, Asia on August 11, 2022.

Find EMIT L2B Data

Use the earthaccess Python library to find EMIT L2B Mineral Identification Band Depth and Uncertainty data.
External Resource
GitHub Repository
June 28, 2024
image of ECOSTRESS satellite data over Liberia

ECOSTRESS Swath to Grid Conversion Script

The ECOSTRESS_swath2grid.py script converts ECOSTRESS swath data products, stored in Hierarchical Data Format version 5 (HDF5, .h5) into projected GeoTIFFs.
External Resource
GitHub Repository
Sept. 27, 2023
This is a rectangular image showing the temperature of vegetation and land. A majority of the image is colored blue and aqua to indicate cooler temperatures. The upper-middle and lower portions of the image include patches of yellow and red to represent warmer temperatures.

Work with ECOSTRESS Evapotranspiration Data

Learn how to work with the ECOSTRESS Evapotranspiration PT-JPL Daily L3 Global 70m Version 1 (ECO3ETPTJPL.001) data product in Python.
External Resource
GitHub Repository
Sept. 27, 2023
SHOWING 8 OF 214