Author's Note: February 14, 2024 The ECOSTRESS resources have been updated since the publishing of this news announcement. Please visit: https://github.com/nasa/ECOSTRESS-Data-Resources to see the most recent ECOSTRESS Data Resources.
The Land Processes Distributed Active Archive Center (LP DAAC) is pleased to announce the availability of the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) Level 1B, L2, and L2T_LSTE Version 2 data products. These products are produced by the National Aeronautics and Space Administration (NASA) Jet Propulsion Laboratory (JPL) and are offered at a spatial resolution of 70 meters (m). Included in this data release are the land surface temperature and emissivity (LSTE) swath and tiled products, the swath cloud mask product, top of atmosphere calibrated radiance data product, geolocation data product, and spacecraft attitude information. This initial release covers the mission period from October 26, 2022, forward with plans to circle back to historical data processing.
Attached to the International Space Station (ISS), ECOSTRESS measures the Earth's surface temperature to better understand how much water is used by plants. More information on ECOSTRESS can be found on the ECOSTRESS website.
ECOSTRESS Version 2 improvements and additions.
A citation containing the Digital Object Identifier (DOI) for each dataset is provided below.
ECOSTRESS Tiled Land Surface Temperature and Emissivity Instantaneous L2 Global 70 m v002 – ECO_L2T_LSTE
Hook, S., G. Hulley. ECOSTRESS Tiled Land Surface Temperature and Emissivity Instantaneous L2 Global 70 m v002. 2022, distributed by NASA EOSDIS Land Processes DAAC, https://doi.org/10.5067/ECOSTRESS/ECO_L2T_LSTE.002. Accessed YYYY-MM-DD.
ECOSTRESS Swath Land Surface Temperature and Emissivity Instantaneous L2 Global 70 m v002 – ECO_L2_LSTE
Hook, S., G. Hulley. ECOSTRESS Swath Land Surface Temperature and Emissivity Instantaneous L2 Global 70 m v002. 2022, distributed by NASA EOSDIS Land Processes DAAC, https://doi.org/10.5067/ECOSTRESS/ECO_L2_LSTE.002. Accessed YYYY-MM-DD.
ECOSTRESS Swath Cloud Mask Instantaneous L2 Global 70 m v002 – ECO_L2_CLOUD
Hook, S., G. Hulley. ECOSTRESS Swath Cloud Mask Instantaneous L2 Global 70 m v002. 2022, distributed by NASA EOSDIS Land Processes DAAC, https://doi.org/10.5067/ECOSTRESS/ECO_L2_CLOUD.002. Accessed YYYY-MM-DD.
ECOSTRESS Swath Top of Atmosphere Calibrated Radiance Instantaneous L1B Global 70 m v002 – ECO_L1B_RAD
Hook, S., M. Smyth, T. Logan, W. Johnson. ECOSTRESS Swath Top of Atmosphere Calibrated Radiance Instantaneous L1B Global 70 m v002. 2022, distributed by NASA EOSDIS Land Processes DAAC, https://doi.org/10.5067/ECOSTRESS/ECO_L1B_RAD.002. Accessed YYY-MM-DD.
ECOSTRESS Swath Geolocation Instantaneous L1B Global 70 m v002 – ECO_L1B_GEO
Hook, S., M. Smyth, T. Logan, W. Johnson. ECOSTRESS Swath Geolocation Instantaneous L1B Global 70 m v002. 2022, distributed by NASA EOSDIS Land Processes DAAC, https://doi.org/10.5067/ECOSTRESS/ECO_L1B_GEO.002. Accessed YYYY-MM-DD.
ECOSTRESS Swath Attitude and Ephemeris Instantaneous L1B Global v002 – ECO_L1B_ATT
Hook, S., M. Smyth, T. Logan, W. Johnson. ECOSTRESS Swath Attitude and Ephemeris Instantaneous L1B Global v002. 2022, distributed by NASA EOSDIS Land Processes DAAC, https://doi.org/10.5067/ECOSTRESS/ECO_L1B_ATT.002. Accessed YYYY-MM-DD.
All ECOSTRESS Version 2 data products are available for download through NASA’s Earthdata Search. ECO_L1B_GEO, ECO_L2_CLOUD, and ECO_L2_LSTE are available through AppEEARS. Additional L1 & L2 products will be released in the near future with higher level data products to follow.
LP DAAC Resources:
ECOSTRESS Swath to Grid Conversion Python Script
Working with ECOSTRESS Evapotranspiration Data Jupyter Notebook Tutorial
Quick Guide for Accessing ECOSTRESS Data in NASA Earthdata Search
Stay tuned and receive updates regarding the future release of ECOSTRESS data products by signing up for our listserv. Send a blank email to lpdaac-join@lists.nasa.gov to subscribe.
Have questions? Contact LP DAAC User Services at lpdaac@usgs.gov.