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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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In Spring 2017, DEVELOP researchers in Phoenix used NASA data to determine how hot area bus stops are in summer to determine which ones need shelters.
Data in Action
Dec. 27, 2017
Learn how surface reflectance and albedo as measured by satellite data help scientists understand the topography and vegetation cover of Earth surfaces.
Data in Action
Nov. 30, 2017
Explore how MODIS data was used to support forest monitoring in Siberia, agricultural drought analysis across Africa, and fractal-based woodland extraction in Beijing.
Data in Action
Oct. 31, 2017
The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) Area Sampler allows users to extract, visualize, and download NASA data for an area of interest.
Tutorial
Oct. 25, 2017
See how data from MODIS and VIIRS allow meteorologists to observe how a hurricane formed, where it went, how long it lasted, and its impact.
Data in Action
Oct. 19, 2017
Learn how MODIS data help predict the spread of West Nile virus.
Data in Action
Sept. 17, 2017
Learn how ecologists used MODIS data to show vegetation's impact on Oregon bird communities.
Data in Action
Aug. 30, 2017
Learn how to use Visible Infrared Imaging Radiometer Suite (VIIRS) Surface Reflectance data, including data types, scale factors, and band combinations.
Tutorial
Aug. 8, 2017
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