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ECOSTRESS Resources
Access learning resources for the Ecosystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) designed to help you optimize your Earth science research.
The ECOSTRESS Data Resources GitHub repository, maintained by NASA's Land Processes Distributed Active Archive Center (LP DAAC), provides guides, Python scripts, and Jupyter notebook tutorials to help users find, access, and work with ECOSTRESS data. This repository is publicly available and welcomes contributions from the community.
ECOSTRESS Learning Resources
This ARSET training introduces the applications of ECOSTRESS for crop health, volcanoes, urban heat, wildland fires, coastal systems, and much more.
Training
Nov. 20, 2019
Europe experienced a heat wave in 2019, highlighting the dangers of urban heat islands and the potential of ECOsystem Spaceborne Thermal Radiometer (ECOSTRESS) data to identify at-risk areas.
Data in Action
Aug. 21, 2019
Learn how ECOSTRESS measures surface temperatures to assess plant water use and stress, aiming to optimize agricultural practices and support ecosystem health.
Tutorial
June 25, 2018
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A summary of datasets, products, and resources released by NASA’s Distributed Active Archive Centers (DAACs) in April 2025.
News
May 13, 2025
A summary of datasets, products, and resources released by NASA’s Distributed Active Archive Centers (DAACs) in February 2025.
News
March 6, 2025
Access a Python-based command-line script to extract the Geolocation Accuracy QA flag from ECOSTRESS version 2 data.
News
Feb. 5, 2025
The VITALS repository provides Python Jupyter notebook examples to help users work with VSWIR and TIR data from the EMIT and ECOSTRESS missions.
News
Feb. 3, 2025
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