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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.
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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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MODIS image of foliage color in the Appalachian mountains

Why Do Leaves Change Color?

Learn how MODIS vegetation indices can be used to monitor variations in global vegetation conditions, such as seasonal leaf changes.
Data in Action
Dec. 23, 2014
An example of a nighttime ASTER surface temperature image of Phoenix, Arizona.

Crop Yields, Elevation Change, and Urban Heat

Explore how LP DAAC data was used to forecast spring wheat yields in Canada, track elevation change at a U.S. coal mine, and examine land cover impacts on urban heat in Phoenix, Arizona.
Data in Action
Nov. 25, 2014
King Fire actively burning through Stumpy Meadows Campground located on Stumpy Meadows Reservoir, CA

Detecting Fires from Space: King Fire, California

Learn how remote sensing data from space was used to detect and monitor the King Fire in California, showcasing the importance of satellite imagery in wildfire management.
Data in Action
Nov. 7, 2014
Hurricane Ivan

Hurricane Ivan: 10 Years Later

ASTER data are used to evaluate the affects of Hurricane Ivan, a unique and destructive storm, after making two U.S. landfalls.
Data in Action
Sept. 30, 2014
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