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.

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
This repository provides Python Jupyter notebook examples to help users work with VSWIR and TIR data from the EMIT and ECOSTRESS missions.
External Resource
GitHub Repository
Oct. 17, 2023
Subset, visualize, filter, and plot GEDI waveform data.
External Resource
GitHub Repository
Feb. 21, 2024
Build a mask using an EMIT L2A Mask file and apply it to an L2A Reflectance file.
External Resource
GitHub Repository
June 17, 2024
SHOWING 8 OF 214