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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

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image collage of satellite data images of Earth

VITALS GitHub Repository

This repository provides Python Jupyter notebook examples to help users work with VSWIR and TIR data from the EMIT and ECOSTRESS missions.
External Resource
GitHub Repository
Oct. 17, 2023
image collage of satellite data images of Earth

Extract ECOSTRESS Geolocation Accuracy QA Flag

This Python-based command-line script enables users to retrieve the Geolocation Accuracy QA flags for the input data.
External Resource
GitHub Repository
image of ECOSTRESS satellite data over Liberia

ECOSTRESS Swath to Grid Conversion Script

The ECOSTRESS_swath2grid.py script converts ECOSTRESS swath data products, stored in Hierarchical Data Format version 5 (HDF5, .h5) into projected GeoTIFFs.
External Resource
GitHub Repository
Sept. 27, 2023
This is a rectangular image showing the temperature of vegetation and land. A majority of the image is colored blue and aqua to indicate cooler temperatures. The upper-middle and lower portions of the image include patches of yellow and red to represent warmer temperatures.

Work with ECOSTRESS Evapotranspiration Data

Learn how to work with the ECOSTRESS Evapotranspiration PT-JPL Daily L3 Global 70m Version 1 (ECO3ETPTJPL.001) data product in Python.
External Resource
GitHub Repository
Sept. 27, 2023
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ECOSTRESS News

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a map of Africa and Asia showing silica deposits detected by ECOSTRESS.

Mapping Silicate Minerals From Space

New infrared surveys of silicates and related minerals provide insights for geological research, renewable energy, and rare Earth mineral exploration.
News
Sept. 11, 2026
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