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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Bibliographic Details
Main Authors: Bingkun Luo, Peter J. Minnett
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Remote Sensing
Subjects:
ABI
Online Access:https://www.mdpi.com/2072-4292/12/20/3279
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spelling 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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