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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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See how the Tennessee Valley Energy DEVELOP team used Earth observations to predict river water temperatures for managing and protecting aquatic ecosystems.
Data in Action
July 1, 2020
This ARSET training focuses on the use of remote sensing to understand global phenology.
Training
June 30 - July 14, 2020
Researchers used MODIS land cover products and ASTER models to identify suitable areas where an endangered species of monkey may reside.
Data in Action
June 29, 2020
Learn how a NASA DEVELOP team helped create models to determine an ideal location for a jaguar corridor using NASA Earth observation data.
Data in Action
May 21, 2020
Explore how remote sensing is used to study landslide vegetation recovery in China, identify zero curtain effects for permafrost detection, and map geothermal minerals in East Africa.
Data in Action
April 28, 2020
In Spring 2019 DEVELOP researchers used VIIRS and other instrument data to create models that provide fine details on drought conditions in Iowa.
Data in Action
April 13, 2020
This ARSET training focuses on how to apply the UN Biodiversity Lab and NASA satellite data to conservation and SDG goals.
Training
March 24 - April 7, 2020
Cette formation ARSET est axée sur l'utilisation des données du Laboratoire de biodiversité des Nations Unies et des données satellitaires de la NASA.
Training
March 24 - April 7, 2020
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