Comparison of sea ice classification methods based on satellite scatterometer and radiometer data in the Weddell Sea, Antarctica
Abstract Information on sea ice type is an important factor for deriving sea ice parameters from satellite remote sensing data, such as sea ice concentration, extent and thickness. In this study, sea ice in the Weddell Sea was classified by the histogram threshold (HT) method, the Spreen model (SM)...
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crcambridgeupr:10.1017/s0954102019000154 2024-03-03T08:38:44+00:00 Comparison of sea ice classification methods based on satellite scatterometer and radiometer data in the Weddell Sea, Antarctica Pang, Xiaoping Gao, Xiang Ji, Qing 2019 http://dx.doi.org/10.1017/s0954102019000154 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0954102019000154 en eng Cambridge University Press (CUP) https://www.cambridge.org/core/terms https://www.cambridge.org/core/terms Antarctic Science volume 31, issue 3, page 150-164 ISSN 0954-1020 1365-2079 Geology Ecology, Evolution, Behavior and Systematics Oceanography journal-article 2019 crcambridgeupr https://doi.org/10.1017/s0954102019000154 2024-02-08T08:30:58Z Abstract Information on sea ice type is an important factor for deriving sea ice parameters from satellite remote sensing data, such as sea ice concentration, extent and thickness. In this study, sea ice in the Weddell Sea was classified by the histogram threshold (HT) method, the Spreen model (SM) method from satellite scatterometer data and the strong contrast (SC) method from radiometer data, and this information was compared with Antarctic Sea Ice Processes and Climate (ASPeCt) sea ice-type ship-based observations. The results show that all three methods can distinguish the multi-year (MY) ice and first-year (FY) ice using Ku-band scatterometer data and radiometer data during the ice growth season, while C-band scatterometer data are not suitable for MY ice and FY ice discrimination using HT and SM methods. The SM model has a smaller MY ice classification extent than the HT method from scatterometer data. The classification accuracy of the SM method is the higher compared to ship-based observations. It can be concluded that the SM method is a promising method for discriminating MY ice from FY ice. These results provide a reference for further retrieval of long-term sea ice-type information for the whole of Antarctica. Article in Journal/Newspaper Antarc* Antarctic Antarctic Science Antarctica Sea ice Weddell Sea Cambridge University Press Antarctic Weddell Sea Weddell Antarctic Science 31 3 150 164 |
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Open Polar |
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Cambridge University Press |
op_collection_id |
crcambridgeupr |
language |
English |
topic |
Geology Ecology, Evolution, Behavior and Systematics Oceanography |
spellingShingle |
Geology Ecology, Evolution, Behavior and Systematics Oceanography Pang, Xiaoping Gao, Xiang Ji, Qing Comparison of sea ice classification methods based on satellite scatterometer and radiometer data in the Weddell Sea, Antarctica |
topic_facet |
Geology Ecology, Evolution, Behavior and Systematics Oceanography |
description |
Abstract Information on sea ice type is an important factor for deriving sea ice parameters from satellite remote sensing data, such as sea ice concentration, extent and thickness. In this study, sea ice in the Weddell Sea was classified by the histogram threshold (HT) method, the Spreen model (SM) method from satellite scatterometer data and the strong contrast (SC) method from radiometer data, and this information was compared with Antarctic Sea Ice Processes and Climate (ASPeCt) sea ice-type ship-based observations. The results show that all three methods can distinguish the multi-year (MY) ice and first-year (FY) ice using Ku-band scatterometer data and radiometer data during the ice growth season, while C-band scatterometer data are not suitable for MY ice and FY ice discrimination using HT and SM methods. The SM model has a smaller MY ice classification extent than the HT method from scatterometer data. The classification accuracy of the SM method is the higher compared to ship-based observations. It can be concluded that the SM method is a promising method for discriminating MY ice from FY ice. These results provide a reference for further retrieval of long-term sea ice-type information for the whole of Antarctica. |
format |
Article in Journal/Newspaper |
author |
Pang, Xiaoping Gao, Xiang Ji, Qing |
author_facet |
Pang, Xiaoping Gao, Xiang Ji, Qing |
author_sort |
Pang, Xiaoping |
title |
Comparison of sea ice classification methods based on satellite scatterometer and radiometer data in the Weddell Sea, Antarctica |
title_short |
Comparison of sea ice classification methods based on satellite scatterometer and radiometer data in the Weddell Sea, Antarctica |
title_full |
Comparison of sea ice classification methods based on satellite scatterometer and radiometer data in the Weddell Sea, Antarctica |
title_fullStr |
Comparison of sea ice classification methods based on satellite scatterometer and radiometer data in the Weddell Sea, Antarctica |
title_full_unstemmed |
Comparison of sea ice classification methods based on satellite scatterometer and radiometer data in the Weddell Sea, Antarctica |
title_sort |
comparison of sea ice classification methods based on satellite scatterometer and radiometer data in the weddell sea, antarctica |
publisher |
Cambridge University Press (CUP) |
publishDate |
2019 |
url |
http://dx.doi.org/10.1017/s0954102019000154 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0954102019000154 |
geographic |
Antarctic Weddell Sea Weddell |
geographic_facet |
Antarctic Weddell Sea Weddell |
genre |
Antarc* Antarctic Antarctic Science Antarctica Sea ice Weddell Sea |
genre_facet |
Antarc* Antarctic Antarctic Science Antarctica Sea ice Weddell Sea |
op_source |
Antarctic Science volume 31, issue 3, page 150-164 ISSN 0954-1020 1365-2079 |
op_rights |
https://www.cambridge.org/core/terms https://www.cambridge.org/core/terms |
op_doi |
https://doi.org/10.1017/s0954102019000154 |
container_title |
Antarctic Science |
container_volume |
31 |
container_issue |
3 |
container_start_page |
150 |
op_container_end_page |
164 |
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1792507172917084160 |