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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.

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. 

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ASTER data are used to evaluate the affects of Hurricane Ivan, a unique and destructive storm, after making two U.S. landfalls.
Data in Action
Sept. 30, 2014
See how digital elevation models are used to create three-dimensional data visualizations, which provide an insightful perspective on landscapes.
Data in Action
Aug. 18, 2014
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