Comparison of SLSTR Thermal Emissive Bands Clear-Sky Measurements with Those of Geostationary Imagers
The Sentinel-3 series satellites belong to the European Earth Observation satellite missions for supporting oceanography, land, and atmospheric studies. The Sea and Land Surface Temperature Radiometer (SLSTR) onboard the Sentinel-3 satellites was designed to provide a significant improvement in remo...
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doaj-1603af3a75a24fb88cc87edaa4a23c252020-11-25T03:53:53ZengMDPI AGRemote Sensing2072-42922020-10-01123279327910.3390/rs12203279Comparison of SLSTR Thermal Emissive Bands Clear-Sky Measurements with Those of Geostationary ImagersBingkun Luo0Peter J. Minnett1Rosenstiel School of Marine and Atmospheric Science, University of Miami, 4600 Rickenbacker Causeway, Miami, FL 33149, USARosenstiel School of Marine and Atmospheric Science, University of Miami, 4600 Rickenbacker Causeway, Miami, FL 33149, USAThe Sentinel-3 series satellites belong to the European Earth Observation satellite missions for supporting oceanography, land, and atmospheric studies. The Sea and Land Surface Temperature Radiometer (SLSTR) onboard the Sentinel-3 satellites was designed to provide a significant improvement in remote sensing of skin sea surface temperature (SST<sub>skin</sub>). The successful application of SLSTR-derived SST<sub>skin</sub> fields depends on their accuracies. Based on sensor-dependent radiative transfer model simulations, geostationary Geostationary Operational Environmental Satellite (GOES-16) Advanced Baseline Imagers (ABI) and Meteosat Second Generation (MSG-4) Spinning Enhanced Visible and Infrared Imager (SEVIRI) brightness temperatures (BT) have been transformed to SLSTR equivalents to permit comparisons at the pixel level in three ocean regions. The results show the averaged BT differences are on the order of 0.1 K and the existence of small biases between them are likely due to the uncertainties in cloud masking, satellite view angle, solar azimuth angle, and reflected solar light. This study demonstrates the feasibility of combining SST<sub>skin</sub> retrievals from SLSTR with those of ABI and SEVIRI.https://www.mdpi.com/2072-4292/12/20/3279SLSTRevaluationthermal bandsABISEVIRI |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Bingkun Luo Peter J. Minnett |
spellingShingle |
Bingkun Luo Peter J. Minnett Comparison of SLSTR Thermal Emissive Bands Clear-Sky Measurements with Those of Geostationary Imagers Remote Sensing SLSTR evaluation thermal bands ABI SEVIRI |
author_facet |
Bingkun Luo Peter J. Minnett |
author_sort |
Bingkun Luo |
title |
Comparison of SLSTR Thermal Emissive Bands Clear-Sky Measurements with Those of Geostationary Imagers |
title_short |
Comparison of SLSTR Thermal Emissive Bands Clear-Sky Measurements with Those of Geostationary Imagers |
title_full |
Comparison of SLSTR Thermal Emissive Bands Clear-Sky Measurements with Those of Geostationary Imagers |
title_fullStr |
Comparison of SLSTR Thermal Emissive Bands Clear-Sky Measurements with Those of Geostationary Imagers |
title_full_unstemmed |
Comparison of SLSTR Thermal Emissive Bands Clear-Sky Measurements with Those of Geostationary Imagers |
title_sort |
comparison of slstr thermal emissive bands clear-sky measurements with those of geostationary imagers |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2020-10-01 |
description |
The Sentinel-3 series satellites belong to the European Earth Observation satellite missions for supporting oceanography, land, and atmospheric studies. The Sea and Land Surface Temperature Radiometer (SLSTR) onboard the Sentinel-3 satellites was designed to provide a significant improvement in remote sensing of skin sea surface temperature (SST<sub>skin</sub>). The successful application of SLSTR-derived SST<sub>skin</sub> fields depends on their accuracies. Based on sensor-dependent radiative transfer model simulations, geostationary Geostationary Operational Environmental Satellite (GOES-16) Advanced Baseline Imagers (ABI) and Meteosat Second Generation (MSG-4) Spinning Enhanced Visible and Infrared Imager (SEVIRI) brightness temperatures (BT) have been transformed to SLSTR equivalents to permit comparisons at the pixel level in three ocean regions. The results show the averaged BT differences are on the order of 0.1 K and the existence of small biases between them are likely due to the uncertainties in cloud masking, satellite view angle, solar azimuth angle, and reflected solar light. This study demonstrates the feasibility of combining SST<sub>skin</sub> retrievals from SLSTR with those of ABI and SEVIRI. |
topic |
SLSTR evaluation thermal bands ABI SEVIRI |
url |
https://www.mdpi.com/2072-4292/12/20/3279 |
work_keys_str_mv |
AT bingkunluo comparisonofslstrthermalemissivebandsclearskymeasurementswiththoseofgeostationaryimagers AT peterjminnett comparisonofslstrthermalemissivebandsclearskymeasurementswiththoseofgeostationaryimagers |
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1724476061841883136 |