On-Orbit Correction of ECOSTRESS Radiances by Comparison with IASI Hyperspectral Sounders.
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| Title: | On-Orbit Correction of ECOSTRESS Radiances by Comparison with IASI Hyperspectral Sounders. |
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| Authors: | Wethey, David S.1 (AUTHOR) wethey@biol.sc.edu, Woodin, Sarah A.1,2 (AUTHOR), Vazquez-Cuervo, Jorge1,2 (AUTHOR) |
| Source: | Remote Sensing. Feb2026, Vol. 18 Issue 4, p622. 36p. |
| Subjects: | Radiance, Calibration, Satellite-based remote sensing, Thermography, Radiative transfer, United States. National Aeronautics & Space Administration |
| Abstract: | Highlights: What are the main findings? Correction of biases in ECOSTRESS Collections 1 and 2 radiances using hyperspectral data from quasi simultaneous matchups to IASI reduced biases and temperature dependence of the biases by one to two orders of magnitude. The corrections were validated with three different strictly independent radiance datasets from quasi simultaneous matchups to IASI on Metop satellites, CrIS on SNPP and N-20 satellites, and RTTOV radiative transfer models at NOAA iQuam in situ observations. What are the implications of the findings? This is a proof of concept for on-orbit cross-calibration and harmonization of ultra-high-spatial-resolution thermal missions using IASI as the reference. Radiance cross-calibration and harmonization for the planned virtual constellation of wide-swath 50–60 m resolution thermal imagers TRISHNA (CNES/ISRO), LSTM (ESA), and SBG (NASA) can be carried out using on-orbit matchups to IASI. Inter-operability of products from different members of the constellation will depend on unified calibration and harmonization of radiances. Radiance data from ECOSTRESS (ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station), which is the first of a planned virtual constellation of wide-swath ultra-high-resolution thermal satellites, were used to test the concept of on-orbit cross-calibration based on the Global Space-based Inter-Calibration System (GSICS) with the Infrared Atmospheric Sounding Interferometer (IASI) as the reference. Validation of the results was performed using comparisons of corrected ECOSTRESS radiances with strictly independent data from IASI and the Cross-Track Infrared Sounder (CrIS) and with RTTOV radiative transfer simulations of clear-sky observations in iQuam (the NOAA in situ sea surface temperature quality monitor database). ECOSTRESS has known brightness temperature biases in ECOSTRESS Collections 1 and 2, and the biases of Collection 2 are expected to remain in Collection 3 because it retains the Collection 2 radiance calibrations. Our approach reduced both the brightness temperature bias and the temperature dependence of the bias in both Collections 1 and 2 by one to two orders of magnitude. The necessary radiance correction coefficients are provided. The results support the proof-of-concept on-orbit cross-calibration method based on GSICS. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| Abstract: | Highlights: What are the main findings? Correction of biases in ECOSTRESS Collections 1 and 2 radiances using hyperspectral data from quasi simultaneous matchups to IASI reduced biases and temperature dependence of the biases by one to two orders of magnitude. The corrections were validated with three different strictly independent radiance datasets from quasi simultaneous matchups to IASI on Metop satellites, CrIS on SNPP and N-20 satellites, and RTTOV radiative transfer models at NOAA iQuam in situ observations. What are the implications of the findings? This is a proof of concept for on-orbit cross-calibration and harmonization of ultra-high-spatial-resolution thermal missions using IASI as the reference. Radiance cross-calibration and harmonization for the planned virtual constellation of wide-swath 50–60 m resolution thermal imagers TRISHNA (CNES/ISRO), LSTM (ESA), and SBG (NASA) can be carried out using on-orbit matchups to IASI. Inter-operability of products from different members of the constellation will depend on unified calibration and harmonization of radiances. Radiance data from ECOSTRESS (ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station), which is the first of a planned virtual constellation of wide-swath ultra-high-resolution thermal satellites, were used to test the concept of on-orbit cross-calibration based on the Global Space-based Inter-Calibration System (GSICS) with the Infrared Atmospheric Sounding Interferometer (IASI) as the reference. Validation of the results was performed using comparisons of corrected ECOSTRESS radiances with strictly independent data from IASI and the Cross-Track Infrared Sounder (CrIS) and with RTTOV radiative transfer simulations of clear-sky observations in iQuam (the NOAA in situ sea surface temperature quality monitor database). ECOSTRESS has known brightness temperature biases in ECOSTRESS Collections 1 and 2, and the biases of Collection 2 are expected to remain in Collection 3 because it retains the Collection 2 radiance calibrations. Our approach reduced both the brightness temperature bias and the temperature dependence of the bias in both Collections 1 and 2 by one to two orders of magnitude. The necessary radiance correction coefficients are provided. The results support the proof-of-concept on-orbit cross-calibration method based on GSICS. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 20724292 |
| DOI: | 10.3390/rs18040622 |
