SMAP Salinity Retrievals near the Sea-Ice Edge Using Multi-Channel AMSR2 Brightness Temperatures
Sea-ice contamination in the antenna field of view constitutes a large error source in retrieving sea-surface salinity (SSS) with the spaceborne Soil Moisture Active Passive (SMAP) L-band radiometer. This is a major obstacle in the current NASA/Remote Sensing Systems (RSS) SMAP SSS retrieval algorit...
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Online Access: | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819735/ http://www.ncbi.nlm.nih.gov/pubmed/35136668 https://doi.org/10.3390/rs13245120 |
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ftpubmed:oai:pubmedcentral.nih.gov:8819735 2023-05-15T18:16:12+02:00 SMAP Salinity Retrievals near the Sea-Ice Edge Using Multi-Channel AMSR2 Brightness Temperatures Meissner, Thomas Manaster, Andrew 2021-12-02 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819735/ http://www.ncbi.nlm.nih.gov/pubmed/35136668 https://doi.org/10.3390/rs13245120 en eng http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819735/ http://www.ncbi.nlm.nih.gov/pubmed/35136668 http://dx.doi.org/10.3390/rs13245120 https://creativecommons.org/licenses/by/4.0/This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). CC-BY Remote Sens (Basel) Article Text 2021 ftpubmed https://doi.org/10.3390/rs13245120 2022-02-13T01:44:00Z Sea-ice contamination in the antenna field of view constitutes a large error source in retrieving sea-surface salinity (SSS) with the spaceborne Soil Moisture Active Passive (SMAP) L-band radiometer. This is a major obstacle in the current NASA/Remote Sensing Systems (RSS) SMAP SSS retrieval algorithm in regards to obtaining accurate SSS measurements in the polar oceans. Our analysis finds a strong correlation between 8-day averaged SMAP L-band brightness temperature (TB) bias and TB measurements from the Advanced Microwave Scanning Radiometer (AMSR2) in the C-through Ka-band frequency range for sea-ice contaminated ocean scenes. We show how this correlation can be employed to develop: (1) a discriminant analysis that is able to reliably flag the SMAP observations for sea-ice contamination and (2) subsequently remove the sea-ice contamination from the SMAP observations, which results in significantly more accurate SMAP SSS retrievals near the sea-ice edge. We provide a case study that evaluates the performance of the proposed sea-ice flagging and correction algorithm. Our method is also able to detect drifting icebergs, which go often undetected in many available standard sea-ice products and thus result in spurious SMAP SSS retrievals. Text Sea ice PubMed Central (PMC) Remote Sensing 13 24 5120 |
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Article Meissner, Thomas Manaster, Andrew SMAP Salinity Retrievals near the Sea-Ice Edge Using Multi-Channel AMSR2 Brightness Temperatures |
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Article |
description |
Sea-ice contamination in the antenna field of view constitutes a large error source in retrieving sea-surface salinity (SSS) with the spaceborne Soil Moisture Active Passive (SMAP) L-band radiometer. This is a major obstacle in the current NASA/Remote Sensing Systems (RSS) SMAP SSS retrieval algorithm in regards to obtaining accurate SSS measurements in the polar oceans. Our analysis finds a strong correlation between 8-day averaged SMAP L-band brightness temperature (TB) bias and TB measurements from the Advanced Microwave Scanning Radiometer (AMSR2) in the C-through Ka-band frequency range for sea-ice contaminated ocean scenes. We show how this correlation can be employed to develop: (1) a discriminant analysis that is able to reliably flag the SMAP observations for sea-ice contamination and (2) subsequently remove the sea-ice contamination from the SMAP observations, which results in significantly more accurate SMAP SSS retrievals near the sea-ice edge. We provide a case study that evaluates the performance of the proposed sea-ice flagging and correction algorithm. Our method is also able to detect drifting icebergs, which go often undetected in many available standard sea-ice products and thus result in spurious SMAP SSS retrievals. |
format |
Text |
author |
Meissner, Thomas Manaster, Andrew |
author_facet |
Meissner, Thomas Manaster, Andrew |
author_sort |
Meissner, Thomas |
title |
SMAP Salinity Retrievals near the Sea-Ice Edge Using Multi-Channel AMSR2 Brightness Temperatures |
title_short |
SMAP Salinity Retrievals near the Sea-Ice Edge Using Multi-Channel AMSR2 Brightness Temperatures |
title_full |
SMAP Salinity Retrievals near the Sea-Ice Edge Using Multi-Channel AMSR2 Brightness Temperatures |
title_fullStr |
SMAP Salinity Retrievals near the Sea-Ice Edge Using Multi-Channel AMSR2 Brightness Temperatures |
title_full_unstemmed |
SMAP Salinity Retrievals near the Sea-Ice Edge Using Multi-Channel AMSR2 Brightness Temperatures |
title_sort |
smap salinity retrievals near the sea-ice edge using multi-channel amsr2 brightness temperatures |
publishDate |
2021 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819735/ http://www.ncbi.nlm.nih.gov/pubmed/35136668 https://doi.org/10.3390/rs13245120 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Remote Sens (Basel) |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819735/ http://www.ncbi.nlm.nih.gov/pubmed/35136668 http://dx.doi.org/10.3390/rs13245120 |
op_rights |
https://creativecommons.org/licenses/by/4.0/This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3390/rs13245120 |
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Remote Sensing |
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13 |
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24 |
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5120 |
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