Welcome! This repository provides guides, short how-tos, and tutorials to help users access and work with data from the Ecosystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission distributed by the Land Processes Distributed Active Archive Center (LP DAAC). In the interest of open science this repository has been made public but is still under active development. All jupyter notebooks and scripts should be functional, however, changes or additions may be made. Contributions from all parties are welcome.

The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) is aboard the International Space Station (ISS) and measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS was launched to the ISS on June 29, 2018. It has a viewing swath width of around 384 km and views the surface of the Earth from 53.6° N latitude to 53.6° S latitude with variable revisit times, dependent on the orbit of the ISS.

ECOSTRESS addresses three overarching science questions: How is the terrestrial biosphere responding to changes in water availability? How do changes in diurnal vegetation water stress impact the global carbon cycle? Can agricultural vulnerability be reduced through advanced monitoring of agricultural water consumptive use and improved drought estimation? ECOSTRESS uses a multispectral thermal infrared radiometer to measure the surface temperature. The radiometer obtains detailed images of the Earth’s surface at ~70 m spatial resolution that can provide information on the temperature of an individual farmer’s field. Learn more on the ECOSTRESS website.

ECOSTRESS Data Products are distributed by the LP DAAC. Learn more about ECOSTRESS data products from ECOSTRESS Product Pages and search for and download ECOSTRESS data products using NASA EarthData Search or programmatically using NASA's Common Metadata Repository(CMR).

Instructions for setting up a compatible environment for working with ECOSTRESS data is linked below.

• Python set up instructions

Clone or download the ECOSTRESS-Data-Resources repository.

• Download
• To clone the repository, type git clone https://github.com/nasa/ECOSTRESS-Data-Resources.git in the command line.

Content in this repository includes Python tutorials, how-tos, scripts, defined modules that will be called from the Python resources, and setup instructions. The supporting files for use cases are stored in Data folder.

Resources stored in this repository are listed below:

• ECOSTRESS Collection Overview
• 2023 ECOSTRESS Science and Applications Team Meeting Workshop Recording
• ECOSTRESS Website
• AppEEARS Website
• LP DAAC Website
• LP DAAC GitHub

Email: [email protected]
Voice: +1-866-573-3222
Organization: Land Processes Distributed Active Archive Center (LP DAAC)¹
Website: https://lpdaac.usgs.gov/
Date last modified: 11-7-2023

¹Work performed under USGS contract G15PD00467 for NASA contract NNG14HH33I.