Sea Ice Extent Detection in the Bohai Sea Using Sentinel-3 OLCI Data
Sea ice distribution is an important indicator of ice conditions and regional climate change in the Bohai Sea (China). In this study, we monitored the spatiotemporal distribution of the Bohai Sea ice in the winter of 2017–2018 by developing sea ice information indexes using 300 m resolution Sentinel...
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ftmdpi:oai:mdpi.com:/2072-4292/11/20/2436/ 2023-08-20T04:09:40+02:00 Sea Ice Extent Detection in the Bohai Sea Using Sentinel-3 OLCI Data Hua Su Bowen Ji Yunpeng Wang agris 2019-10-20 application/pdf https://doi.org/10.3390/rs11202436 EN eng Multidisciplinary Digital Publishing Institute Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs11202436 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 11; Issue 20; Pages: 2436 Bohai sea ice sea ice extent OLCI imagery sea ice information index Text 2019 ftmdpi https://doi.org/10.3390/rs11202436 2023-07-31T22:42:55Z Sea ice distribution is an important indicator of ice conditions and regional climate change in the Bohai Sea (China). In this study, we monitored the spatiotemporal distribution of the Bohai Sea ice in the winter of 2017–2018 by developing sea ice information indexes using 300 m resolution Sentinel-3 Ocean and Land Color Instrument (OLCI) images. We assessed and validated the index performance using Sentinel-2 MultiSpectral Instrument (MSI) images with higher spatial resolution. The results indicate that the proposed Normalized Difference Sea Ice Information Index (NDSIIIOLCI), which is based on OLCI Bands 20 and 21, can be used to rapidly and effectively detect sea ice but is somewhat affected by the turbidity of the seawater in the southern Bohai Sea. The novel Enhanced Normalized Difference Sea Ice Information Index (ENDSIIIOLCI), which builds on NDSIIIOLCI by also considering OLCI Bands 12 and 16, can monitor sea ice more accurately and effectively than NDSIIIOLCI and suffers less from interference from turbidity. The spatiotemporal evolution of the Bohai Sea ice in the winter of 2017–2018 was successfully monitored by ENDSIIIOLCI. The results show that this sea ice information index based on OLCI data can effectively extract sea ice extent for sediment-laden water and is well suited for monitoring the evolution of Bohai Sea ice in winter. Text Sea ice MDPI Open Access Publishing Remote Sensing 11 20 2436 |
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Open Polar |
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MDPI Open Access Publishing |
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English |
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Bohai sea ice sea ice extent OLCI imagery sea ice information index |
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Bohai sea ice sea ice extent OLCI imagery sea ice information index Hua Su Bowen Ji Yunpeng Wang Sea Ice Extent Detection in the Bohai Sea Using Sentinel-3 OLCI Data |
topic_facet |
Bohai sea ice sea ice extent OLCI imagery sea ice information index |
description |
Sea ice distribution is an important indicator of ice conditions and regional climate change in the Bohai Sea (China). In this study, we monitored the spatiotemporal distribution of the Bohai Sea ice in the winter of 2017–2018 by developing sea ice information indexes using 300 m resolution Sentinel-3 Ocean and Land Color Instrument (OLCI) images. We assessed and validated the index performance using Sentinel-2 MultiSpectral Instrument (MSI) images with higher spatial resolution. The results indicate that the proposed Normalized Difference Sea Ice Information Index (NDSIIIOLCI), which is based on OLCI Bands 20 and 21, can be used to rapidly and effectively detect sea ice but is somewhat affected by the turbidity of the seawater in the southern Bohai Sea. The novel Enhanced Normalized Difference Sea Ice Information Index (ENDSIIIOLCI), which builds on NDSIIIOLCI by also considering OLCI Bands 12 and 16, can monitor sea ice more accurately and effectively than NDSIIIOLCI and suffers less from interference from turbidity. The spatiotemporal evolution of the Bohai Sea ice in the winter of 2017–2018 was successfully monitored by ENDSIIIOLCI. The results show that this sea ice information index based on OLCI data can effectively extract sea ice extent for sediment-laden water and is well suited for monitoring the evolution of Bohai Sea ice in winter. |
format |
Text |
author |
Hua Su Bowen Ji Yunpeng Wang |
author_facet |
Hua Su Bowen Ji Yunpeng Wang |
author_sort |
Hua Su |
title |
Sea Ice Extent Detection in the Bohai Sea Using Sentinel-3 OLCI Data |
title_short |
Sea Ice Extent Detection in the Bohai Sea Using Sentinel-3 OLCI Data |
title_full |
Sea Ice Extent Detection in the Bohai Sea Using Sentinel-3 OLCI Data |
title_fullStr |
Sea Ice Extent Detection in the Bohai Sea Using Sentinel-3 OLCI Data |
title_full_unstemmed |
Sea Ice Extent Detection in the Bohai Sea Using Sentinel-3 OLCI Data |
title_sort |
sea ice extent detection in the bohai sea using sentinel-3 olci data |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2019 |
url |
https://doi.org/10.3390/rs11202436 |
op_coverage |
agris |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Remote Sensing; Volume 11; Issue 20; Pages: 2436 |
op_relation |
Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs11202436 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs11202436 |
container_title |
Remote Sensing |
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11 |
container_issue |
20 |
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2436 |
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1774723280392945664 |