ECOSTRESS Resampled Radiance band 1-3-4 data from the ECO1BMAPRAD product over Central Valley, California, United States, acquired on August 5, 2018.View full-size image
The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data over the conterminous United States (CONUS) as well as key biomes and agricultural zones around the world and selected FLUXNET validation sites. A map of the acquisition coverage can be found on the ECOSTRESS website.
The ECO1BMAPRAD Version 1 data product combines the at-sensor calibrated radiance values retrieved for the ECO1BRAD data product and the geolocation information provided in the ECO1BGEO data product to produce a geotagged, resampled radiance product. The ECO1BMAPRAD data product is produced as a map registered product that is in a rotated geographic projection with a spatial resolution of 70 meters (m). The ECO1BMAPRAD data product accounts for the overlap and variable pixel size in the ECO1BRAD data product.
The ECO1BMAPRAD Version 1 data product contains data layers including the radiance values for the five thermal infrared (TIR) bands, digital number (DN) values for the shortwave infrared (SWIR) band, associated data quality indicators, latitude and longitude values, solar and view geometry information, and surface height. For acquisitions after May 15, 2019, data products contain data values for the 8.785 μm, 10.522 μm, and 12.001 μm (TIR) bands only. The 1.6 μm (SWIR), 8.285 μm (TIR), and 9.060 μm (TIR) bands contain fill values to accommodate direct streaming of data from the ISS as mentioned in the Known Issues section.
|File Size||~2-3 GB|
|Temporal Extent||2018-07-09 to Present|
|Spatial Extent||CONUS, key biomes/agricultural zones, selected FLUXNET sites|
|Coordinate System||Geographic Latitude and Longitude|
|Datum||World Geodetic System (WGS84)|
|Geographic Dimensions||400 km x 400 km|
|Number of Science Dataset (SDS) Layers||18|
|Columns/Rows||Varies by scene x Varies by scene|
|Pixel Size||70 m|
|SDS Name||Description||Units||Data Type||Fill Value||No Data Value||Valid Range||Scale Factor|
|data_quality_1||Data Quality Indicators for radiance_1||N/A||8-bit signed integer||N/A||N/A||0 to 4||N/A|
|data_quality_2||Data Quality Indicators for radiance_2||N/A||8-bit signed integer||N/A||N/A||0 to 4||N/A|
|data_quality_3||Data Quality Indicators for radiance_3||N/A||8-bit signed integer||N/A||N/A||0 to 4||N/A|
|data_quality_4||Data Quality Indicators for radiance_4||N/A||8-bit signed integer||N/A||N/A||0 to 4||N/A|
|data_quality_5||Data Quality Indicators for radiance_5||N/A||8-bit signed integer||N/A||N/A||0 to 4||N/A|
|height||Surface Height||Meters||32-bit floating point||N/A||N/A||N/A||N/A|
|latitude||Latitude||Degree||64-bit floating point||N/A||N/A||-90 to 90||N/A|
|longitude||Longitude||Degree||64-bit floating point||N/A||N/A||-180 to 180||N/A|
|radiance_1||TIR 8.285 microns||W/m²/sr/μm||32-bit floating point||-9999 to -9997||N/A||N/A||N/A|
|radiance_2||TIR 8.785 microns||W/m²/sr/μm||32-bit floating point||-9999 to -9997||N/A||N/A||N/A|
|radiance_3||TIR 9.060 microns||W/m²/sr/μm||32-bit floating point||-9999 to -9997||N/A||N/A||N/A|
|radiance_4||TIR 10.522 microns||W/m²/sr/μm||32-bit floating point||-9999 to -9997||N/A||N/A||N/A|
|radiance_5||TIR 12.001 microns||W/m²/sr/μm||32-bit floating point||-9999 to -9997||N/A||N/A||N/A|
|solar_azimuth||Solar azimuth angle||Degree||32-bit floating point||-9997||N/A||-180 to 180||N/A|
|solar_zenith||Solar zenith angle||Degree||32-bit floating point||-9997||N/A||-90 to 90||N/A|
|swir_dn||Uncalibrated SWIR data with Dark Current subtracted||N/A||16-bit signed integer||-9999 to -9997||N/A||N/A||N/A|
|view_azimuth||View azimuth angle||Degree||32-bit floating point||-9997||N/A||-180 to 180||N/A|
|view_zenith||View zenith angle||Degree||32-bit floating point||-9997||N/A||-90 to 90||N/A|
|-9997||Pixel not seen|
|-9998||Missing data due to striping (not filled in)|
|1||Missing stripe data, filled in|
|2||Missing stripe data, not filled in|
Quality information for the ECO1BMAPRAD Version 1 data product is not provided.
Data acquisition gap: ECOSTRESS was launched on June 29, 2018 and moved to autonomous science operations on August 20, 2018 following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4 and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity).
Data acquisition gap: From February 8 to February 16, 2020 an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020 due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected.
Resampled data: The data has been resampled, so users interested in working with data closest to that acquired by the instrument may want to work with the swath products.
Missing scan data: During testing, an instrument artifact was encountered in ECOSTRESS bands 1 and 5, resulting in missing values. A machine learning algorithm has been applied to interpolate missing values. For more information on the missing scan filling techniques and outcomes, see section 3.3.2 of the User Guide.
Cold bias: ECOSTRESS Level-1 Radiance data shows high correlation with in-situ ground measurements (R2 = 0.99 in all bands). Currently, ECOSTRESS has a cold bias of approximately 0.7 Kelvin (K), which will be corrected through calibration in future data releases.