Arctic Sea Ice Type Classification by Combining CFOSCAT and AMSR‐2 Data
Abstract First‐year ice (FYI) and multi‐year ice (MYI) are the two most common ice types in the Arctic. In this article, the classification of FYI and MYI over the Arctic region in the winter of 2019/2020 and 2020/2021 is investigated by combining the data of the scatterometer on Chinese‐French Ocea...
Published in: | Earth and Space Science |
---|---|
Main Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
American Geophysical Union (AGU)
2022
|
Subjects: | |
Online Access: | https://doi.org/10.1029/2021EA002052 https://doaj.org/article/b618d5c9cfcc4ec48eca2a289850e083 |
id |
ftdoajarticles:oai:doaj.org/article:b618d5c9cfcc4ec48eca2a289850e083 |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:b618d5c9cfcc4ec48eca2a289850e083 2023-05-15T14:47:09+02:00 Arctic Sea Ice Type Classification by Combining CFOSCAT and AMSR‐2 Data Rui Xu Chaofang Zhao Xiaochun Zhai Ge Chen 2022-02-01T00:00:00Z https://doi.org/10.1029/2021EA002052 https://doaj.org/article/b618d5c9cfcc4ec48eca2a289850e083 EN eng American Geophysical Union (AGU) https://doi.org/10.1029/2021EA002052 https://doaj.org/toc/2333-5084 2333-5084 doi:10.1029/2021EA002052 https://doaj.org/article/b618d5c9cfcc4ec48eca2a289850e083 Earth and Space Science, Vol 9, Iss 2, Pp n/a-n/a (2022) sea ice type classification CFOSCAT AMSR‐2 Arctic Astronomy QB1-991 Geology QE1-996.5 article 2022 ftdoajarticles https://doi.org/10.1029/2021EA002052 2022-12-30T22:06:36Z Abstract First‐year ice (FYI) and multi‐year ice (MYI) are the two most common ice types in the Arctic. In this article, the classification of FYI and MYI over the Arctic region in the winter of 2019/2020 and 2020/2021 is investigated by combining the data of the scatterometer on Chinese‐French Oceanography Satellite (CFOSCAT) and the Advanced Microwave Scanning Radiometer‐2 (AMSR‐2) based on the Tree Augmented Naive Bayes (TAN) classifier. The CFOSCAT/AMSR ice type classification results are validated by using Ocean and Sea Ice Satellite Application Facility (OSI SAF) sea ice type products, Canadian Ice Service ice charts, and synthetic‐aperture radar data. The results showed that the overall MYI extent change trend retrieved from CFOSCAT/AMSR was consistent with the OSI SAF product with a correlation coefficient of 0.89 for winter of 2019/2020 and 0.88 for 2020/2021. In addition, CFOSCAT/AMSR identified a slightly larger MYI extent than OSI SAF and the average deviation between them is 10.1% for 2019/2020 while 8.3% for 2020/2021. Besides, CFOSCAT/AMSR can identify more MYI pixels when the MYI concentration is relatively low in the Western Arctic region. We also used CFOSCAT data only to retrieve ice type and found that the active and passive microwave data fusion could capture more MYI pixels located near the boundary of MYI and FYI main body, and the introduction of AMSR‐2 data in ice type classification could reduce the error caused by the abnormal values of CFOSCAT parameters. Article in Journal/Newspaper Arctic Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Earth and Space Science 9 2 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
sea ice type classification CFOSCAT AMSR‐2 Arctic Astronomy QB1-991 Geology QE1-996.5 |
spellingShingle |
sea ice type classification CFOSCAT AMSR‐2 Arctic Astronomy QB1-991 Geology QE1-996.5 Rui Xu Chaofang Zhao Xiaochun Zhai Ge Chen Arctic Sea Ice Type Classification by Combining CFOSCAT and AMSR‐2 Data |
topic_facet |
sea ice type classification CFOSCAT AMSR‐2 Arctic Astronomy QB1-991 Geology QE1-996.5 |
description |
Abstract First‐year ice (FYI) and multi‐year ice (MYI) are the two most common ice types in the Arctic. In this article, the classification of FYI and MYI over the Arctic region in the winter of 2019/2020 and 2020/2021 is investigated by combining the data of the scatterometer on Chinese‐French Oceanography Satellite (CFOSCAT) and the Advanced Microwave Scanning Radiometer‐2 (AMSR‐2) based on the Tree Augmented Naive Bayes (TAN) classifier. The CFOSCAT/AMSR ice type classification results are validated by using Ocean and Sea Ice Satellite Application Facility (OSI SAF) sea ice type products, Canadian Ice Service ice charts, and synthetic‐aperture radar data. The results showed that the overall MYI extent change trend retrieved from CFOSCAT/AMSR was consistent with the OSI SAF product with a correlation coefficient of 0.89 for winter of 2019/2020 and 0.88 for 2020/2021. In addition, CFOSCAT/AMSR identified a slightly larger MYI extent than OSI SAF and the average deviation between them is 10.1% for 2019/2020 while 8.3% for 2020/2021. Besides, CFOSCAT/AMSR can identify more MYI pixels when the MYI concentration is relatively low in the Western Arctic region. We also used CFOSCAT data only to retrieve ice type and found that the active and passive microwave data fusion could capture more MYI pixels located near the boundary of MYI and FYI main body, and the introduction of AMSR‐2 data in ice type classification could reduce the error caused by the abnormal values of CFOSCAT parameters. |
format |
Article in Journal/Newspaper |
author |
Rui Xu Chaofang Zhao Xiaochun Zhai Ge Chen |
author_facet |
Rui Xu Chaofang Zhao Xiaochun Zhai Ge Chen |
author_sort |
Rui Xu |
title |
Arctic Sea Ice Type Classification by Combining CFOSCAT and AMSR‐2 Data |
title_short |
Arctic Sea Ice Type Classification by Combining CFOSCAT and AMSR‐2 Data |
title_full |
Arctic Sea Ice Type Classification by Combining CFOSCAT and AMSR‐2 Data |
title_fullStr |
Arctic Sea Ice Type Classification by Combining CFOSCAT and AMSR‐2 Data |
title_full_unstemmed |
Arctic Sea Ice Type Classification by Combining CFOSCAT and AMSR‐2 Data |
title_sort |
arctic sea ice type classification by combining cfoscat and amsr‐2 data |
publisher |
American Geophysical Union (AGU) |
publishDate |
2022 |
url |
https://doi.org/10.1029/2021EA002052 https://doaj.org/article/b618d5c9cfcc4ec48eca2a289850e083 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
Earth and Space Science, Vol 9, Iss 2, Pp n/a-n/a (2022) |
op_relation |
https://doi.org/10.1029/2021EA002052 https://doaj.org/toc/2333-5084 2333-5084 doi:10.1029/2021EA002052 https://doaj.org/article/b618d5c9cfcc4ec48eca2a289850e083 |
op_doi |
https://doi.org/10.1029/2021EA002052 |
container_title |
Earth and Space Science |
container_volume |
9 |
container_issue |
2 |
_version_ |
1766318280915550208 |