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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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NASA DEVELOP teams used MODIS and ASTER data to address wildfire impacts, flooding risks, and wildlife conservation through remote sensing.
Data in Action
Nov. 18, 2015
Discover how NASA data support amphibian habitat mapping, classification of Amazonian wetland vegetation, and flood regime monitoring in Botswana’s Okavango Delta.
Data in Action
Oct. 28, 2015
Learn how MODIS data were used to update the 1992 Montana Climate Atlas to better understand the state's climate and how it relates to resources and industries.
Data in Action
Oct. 21, 2015
Discover how MODIS data help track changes in snow water equivalents in the Sierra Nevada Mountains to help forecast drought in California.
Data in Action
Sept. 30, 2015
Examining changes and recovery of the Chandeleur Barrier Islands post-Hurricane Katrina using remote sensing data.
Data in Action
Aug. 26, 2015
NASA Earth observation data is used to map urban heat patterns in Munich, predict wildfire risk in Sardinia using vegetation phenology, and identify archaeological resource networks in Peru.
Data in Action
Aug. 5, 2015
See how a NASA DEVELOP team used MODIS data to create a drought-monitoring tool to benefit the agriculture and energy sectors.
Data in Action
July 1, 2015
See how MODIS data are used to determine areas susceptible to water-stress to show the relative health of the vegetation compared to the same area with healthy vegetation.
Data in Action
June 25, 2015
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