ECOSTRESS Data Resources

Details:

Published: Sept. 22, 2023

Background

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 addresses three overarching science questions: How are global lands responding to changes in water availability? How do changes in daily plant water stress impact the global carbon cycle? Can agricultural vulnerability be reduced through advanced monitoring of agricultural water consumption and improved drought estimation? ECOSTRESS uses a multispectral thermal infrared radiometer to measure the surface temperature. The radiometer obtains images of the Earth’s surface at a level of detail that can even provide information on the temperature of an individual farmer’s field. Learn more on the ECOSTRESS website.

The ECOSTRESS Data Resources GitHub repository provides guides, short how-tos, and tutorials to help users access and work with ECOSTRESS data. In the interest of open science, this repository has been made public and is open to contributions. The repository is actively maintained by the LP DAAC. All resources should be functional; however, changes or additions may be made. We encourage users to periodically check the repository for resource updates.

Resources

Below are data use resources available for ECOSTRESS.

Python

Name Type Summary
ECOSTRESS Tutorial Jupyter Notebook How to work with the ECOSTRESS Evapotranspiration PT-JPL Daily L3
ECOSTRESS Swath to Grid Command line executable How to convert ECOSTRESS swath data products into projected GeoTIFFs

Relevant Products

Product Long Name
ECO1BATT.001 ECOSTRESS Attitude Daily L1B Global 70 m
ECO1BGEO.001 ECOSTRESS Geolocation Daily L1B Global 70 m
ECO1BMAPRAD.001 ECOSTRESS Resampled Radiance Daily L1B Global 70 m
ECO1BRAD.001 ECOSTRESS At-sensor Calibrated Radiance Daily L1B Global 70 m
ECO2CLD.001 ECOSTRESS Cloud Mask Daily L2 Global 70 m
ECO2LSTE.001 ECOSTRESS Land Surface Temperature and Emissivity Daily L2 Global 70 m
ECO3ANCQA.001 ECOSTRESS L3/L4 Ancillary Data Quality Assurance (QA) Flags L3 Global 70 m
ECO3ETPTJPL.001 ECOSTRESS Evapotranspiration PT-JPL Daily L3 Global 70 m
ECO3ETALEXIU.001 ECOSTRESS Evapotranspiration dis-ALEXI USDA Daily L3 Global 30m
ECO3ETALEXI.001 ECOSTRESS Evapotranspiration dis-ALEXI Daily L3 CONUS 70 m
ECO_L1B_ATT.002 ECOSTRESS Swath Attitude and Ephemeris Instantaneous L1B Global
ECO_L1B_GEO.002 ECOSTRESS Swath Geolocation Instantaneous L1B Global 70 m
ECO_L1B_RAD.002 ECOSTRESS Swath Top of Atmosphere Calibrated Radiance Instantaneous L1B Global 70 m
ECO_L2_CLOUD.002 ECOSTRESS Swath Cloud Mask Instantaneous L2 Global 70 m
ECO_L2T_LSTE.002 ECOSTRESS Tiled Land Surface Temperature and Emissivity Instantaneous L2 Global 70 m
ECO_L2_LSTE.002 ECOSTRESS Swath Land Surface Temperature and Emissivity Instantaneous L2 Global 70 m
ECO_L2G_LSTE.002 ECOSTRESS Gridded Land Surface Temperature and Emissivity Instantaneous L2 Global 70 m
ECO_L2G_CLOUD.002 ECOSTRESS Gridded Cloud Mask Instantaneous L2 Global 70 m
ECO_L1CG_RAD.002 ECOSTRESS Gridded Top of Atmosphere Calibrated Radiance Instantaneous L1C Global 70 m
ECO_L1CT_RAD.002 ECOSTRESS Tiled Top of Atmosphere Calibrated Radiance Instantaneous L1C Global 70 m

Tools

Name Filters Description
Data Prep Scripts Direct Download, Web Service

This collection of R and Python scripts can be used to download data and …