We are in the process of migrating all NASA Earth science data sites into Earthdata from now until end of 2026. Not all NASA Earth science data and resources will appear here until then. Thank you for your patience as we make this transition.
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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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Join us for an introduction to the Earthdata Forum, a hub for submitting your questions about NASA Earth science data, services, and tools and for finding answers on how to discover and use the data distributed by the DAACs represented on the Earthdata Forum.
Webinar
Nov. 23, 2020
Discover how a NASA DEVELOP team used NASA Earth science remote sensing data to observe the impacts urban growth has had on the city of Huntsville, Alabama.
Data in Action
Nov. 17, 2020
This ARSET training focuses on mapping and monitoring mangroves and how it aligns with UN Sustainable Development Goals (SDGs).
Training
Nov. 5-19, 2020
Get to know NASA's Land Processes Distributed Active Archive Center (LP DAAC) in this Tech Talk Webinar.
Webinar
Oct. 1, 2020
Learn how NASA data shed light on heat wave-related deaths, informed machine learning regression models predicting honey harvests, and mapped maize crops.
Data in Action
Aug. 24, 2020
This ArcGIS Python Toolbox simplifies access to quality data by decoding complex quality information into usable thematic raster files.
Tutorial
Aug. 18, 2020
NASA's Land Processes Distributed Active Archive Center (LP DAAC) provides an introduction to learning resources for the ecology community.
Webinar
Aug. 6, 2020
In response to the Deepwater Horizon oil spill, researchers used a machine learning algorithm to classify oil thickness with Terra ASTER data.
Data in Action
July 23, 2020
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