Due to the lapse in federal government funding, NASA is not updating this website. We sincerely regret this inconvenience.
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.
Table of contents
ECOSTRESS Learning Resources
Learn how ECOSTRESS data may significantly improve wildfire prediction by capturing drought signals that precede wildland fire events.
Data in Action
Sept. 25, 2025
This self-paced ARSET training introduces the basics of hyperspectral remote sensing and its potential applications for land and ocean systems.
Training
Ongoing
Join us for a two-day webinar covering the fundamentals necessary to work with NASA's high-spectral resolution land-based Earth observation data from NASA's EMIT, ECOSTRESS, and PACE missions.
Event
July 14, 2025
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
This Python-based command-line script enables users to retrieve the Geolocation Accuracy QA flags for the input data.
External Resource
GitHub Repository
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
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
The GitHub repository hosted by NASA's Land Processes Distributed Active Archive Center (LP DAAC) provides a range of materials for using LP DAAC data and tools.
Tutorial
April 21, 2023
Using machine learning models, researchers identify high ECOSTRESS Water Use Efficiency ratios as the most influential pre-fire factor.
News
Sept. 25, 2025
Join us for a two-day webinar covering the fundamentals necessary to work with NASA's high-spectral resolution land-based Earth observation data from NASA's EMIT, ECOSTRESS, and PACE missions.
Event
July 14, 2025
A summary of datasets, products, and resources released by NASA’s Distributed Active Archive Centers (DAACs) in May 2025.
News
June 12, 2025
A summary of datasets, products, and resources released by NASA’s Distributed Active Archive Centers (DAACs) in April 2025.
News
May 13, 2025
Frequently Asked Questions
Earthdata Forum
Our online forum provides a space for users to browse thousands of FAQs about research needs, data, and data applications. You can also submit new questions for our experts to answer.
Submit Questions to Earthdata Forumand View Expert Responses