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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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This advanced-level training focuses on using remote sensing observations for monitoring post-fire impacts on watershed health.
Training
July 6-13, 2023
In this three-part tutorial series, learn how to use Python to process EMIT reflectance data.
Tutorial
June 14, 2023
Join us June 28 at 2 p.m., EDT [UTC-4], to learn about NASA's Earth Surface Mineral Dust Source Investigation (EMIT) measurements and datasets along with how to discover, access, and work with EMIT data.
Webinar
June 8, 2023
The eBird tool leverages NASA's remote sensing data to monitor bird populations and habitats and aid in conservation efforts.
Data in Action
May 8, 2023
The GitHub repository, hosted by NASA's Land Processes Distributed Active Archive Center, provides a range of materials for using LP DAAC data and tools.
Tutorial
April 21, 2023
Learn to access, visualize, and analyze EMIT L2A surface reflectance data using Python.
Tutorial
Dec. 5, 2022
Read publication highlights that detail how ECOSTRESS data reveals water use efficiency patterns, GEDI enables precise forest carbon mapping, and moisture measurements improve wildfire prediction and management.
Data in Action
Aug. 25, 2022
This ARSET training outlines the basics of ecosystem services and natural capital accounting.
Training
Aug. 23-30, 2022
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