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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.
Filters
This Jupyter Notebook shows users how to find, access, process and display ASTER Level-2 Surface Kinetic Temperature (AST_08) data.
External Resource
Jupyter Notebook
May 14, 2026
This Jupyter Notebook shows users how to find and access ASTER Level-1 Precision Terrain Corrected Registered at Sensor Radiance (AST_L1T) data.
External Resource
Jupyter Notebook
May 8, 2026
This ARSET training explores the fundamentals of thermal infrared remote sensing and some applications using ECOSTRESS data to analyze urban heat.
Training
May 26 - June 2, 2026
The USGS EROS User Services team is offering an hour-long webinar to share the data, tools, and services available from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) instrument aboard NASA’s Terra satellite.
Webinar
March 26, 2026
Esta capacitación de ARSET guía a los participantes a través de los fundamentos teóricos de las capacidades del lidar GEDI, aprendiendo a acceder y visualizar los datos de GEDI.
Training
Oct. 23 - Nov. 6, 2025
This ARSET training walks participants through the theoretical background of GEDI lidar capabilities by learning to access and plot GEDI data.
Training
Oct. 23 - Nov. 6, 2025
This Jupyter Notebook shows users how to find and access Global Land Cover Mapping and Estimation Yearly 30 meter (GLanCE30) data.
External Resource
Jupyter Notebook
July 23, 2025
The MODIS Near Real-Time (NRT) Global Flood Product helps communities assess the aftermath of flooding in Australia.
Data in Action
July 17, 2025
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