Data

Reprocessing Timeline

In October 2022,  ECOSTRESS released Collection 2, which includes an updated radiometric vicarious calibration, improved geolocation flagging, improved cloud mask, and improvements and additions to evapotranspiration (ET) models. The team has also made available the inputs that were used in the ET models, for full transparency. These include normalized difference vegetation index (NDVI), and albedo derived from a data fusion between VIIRS and harmonized Landsat-Sentinel (HLS), as well as reanalysis data resampled to ECOSTRESS spatial resolution. 

Radiance, geolocation, land surface temperature & emissivity, and cloud products (level 1 and 2 products) have been available in Collection 2 since October 05, 2022. Higher level products (level 3 and 4) have been available in Collection 2 since January 18, 2024. The team produced Collection 1 for Level 1 and 2 data products until the Collection 2 reprocessing of Level 1 and Level 2 data products was complete so that users could continue to  evaluate a consistent time series. Collection 1 was discontinued in Calendar Year 2025. Collection 1 ended for level 3 and 4 products on December 31, 2022, due to the changing MODIS orbit and changes in Landsat data accessibility. The Collection 1 data availability dates and Collection 2 reprocessing dates are listed in the table below:

collection comparision

collection status sch

Data Example

Streets LA Heat
NASA’s ECOSTRESS Maps LA’s Street Temperatures. Click on image to see larger version. - NASA/JPL-Caltech

In this overlay image, retrieved land surface temperature (LST) from NASA’s Ecosystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) was downscaled to a spatial resolution of 10m and overlaid on a street map of Los Angeles. The image was derived by taking an average of all clear-sky afternoon (1-4pm) imagery acquired by ECOSTRESS from 2018-2023. The LST represents the ‘skin’ temperature of the surface (that you would feel to the touch) and is usually much hotter than the surface air temperature that meteorologists report in a weather forecast.

ECOSTRESS was launched to the international space station in 2018. Its primary mission is to identify plants’ thresholds for water use and water stress, giving insight into their ability to adapt to a warming climate. However, it has many other science uses including urban heat mitigation, wildfire mapping, water quality, and surface mineralogy. NASA’s Jet Propulsion Laboratory in Southern California built and manages the ECOSTRESS mission for the Earth Science Division in the Science Mission Directorate at NASA Headquarters in Washington. ECOSTRESS is an Earth Venture Instrument mission; the program is managed by NASA’s Earth System Science Pathfinder program at NASA's Langley Research Center in Hampton, Virginia


How to access data - Demo

Get ECOSTRESS Data

NASA Earthdata - "ECOSTRESS" Search NASA Earthdata
LP DAAC subsetting tool - AppEEARS

Click on:

"point samples"
or
"area samples"
AppEEARS

Community of Practice

ECOSTRESS data (L1-4) are now publicly available and discoverable through earthdata.nasa.gov

To join the ECOSTRESS Community of Practice, please submit the form; as part of this Community, you will have access to our Slack group and receive updates and notifications about upcoming ECOSTRESS workshops, team meetings and other announcements.  

Your feedback and questions help the ECOSTRESS Project continue to improve the quality of the data and understand extent of use of ECOSTRESS data in research to applied sciences as well as develop, with our LP DAAC partners, new tools and services to help you.  

Community of Practice

ECOSTRESS Community of Practice: submit a form

Data Description and FAQ

Preview of currently acquired data

LP.DAAC code - reproject ECOSTRESS swath to geotiff

Documents

Algorithm Theoretical Basis Documents (ATBDs)
Product Specification Documents (PSDs)
User Guide Products

Combined Summary Table of ATDBs, PSDs, User Guides

Radiometer Spectral Response Functions (SRF)

SRF Graph

SRF Data+Graph

Science Data Products

Science Data Products Summary Table