Sea ice classification in the Weddell Sea based on scatterometer data

Sea ice type is an important factor for accurately calculating sea ice parameters such as sea ice concentration, sea ice area and sea ice thickness using satellite remote sensing data. In this study, sea ice in the Weddell Sea was classified from scatterometer data by the histogram threshold method...

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Main Authors: Xiang, Gao, Xiaoping, Pang, Qing, Ji
Format: Article in Journal/Newspaper
Language:English
Published: Polar Research Institute of China - PRIC 2017
Subjects:
Online Access:http://library.arcticportal.org/2638/
http://library.arcticportal.org/2638/1/A180205000005.pdf
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spelling ftarcticportal:oai:generic.eprints.org:2638 2023-12-03T10:08:31+01:00 Sea ice classification in the Weddell Sea based on scatterometer data Xiang, Gao Xiaoping, Pang Qing, Ji 2017-09 application/pdf http://library.arcticportal.org/2638/ http://library.arcticportal.org/2638/1/A180205000005.pdf en eng Polar Research Institute of China - PRIC http://library.arcticportal.org/2638/1/A180205000005.pdf Xiang, Gao and Xiaoping, Pang and Qing, Ji (2017) Sea ice classification in the Weddell Sea based on scatterometer data. Advances in Polar Science, 28 (3). pp. 196-203. Oceans Article PeerReviewed 2017 ftarcticportal 2023-11-08T23:54:41Z Sea ice type is an important factor for accurately calculating sea ice parameters such as sea ice concentration, sea ice area and sea ice thickness using satellite remote sensing data. In this study, sea ice in the Weddell Sea was classified from scatterometer data by the histogram threshold method and the Spreen model method, and evaluated and validated with the Antarctic Sea Ice Processes and Climate (ASPeCt) sea ice type ship-based observations. The results show that the two methods can both distinguish multi-year (MY) ice and first-year (FY) ice during the ice growth season, and that the histogram threshold method has a relatively larger MY ice classification extent than the Spreen model. The classification accuracy of the histogram threshold method is 77.8%, while the Spreen model method accuracy is 80.3% compared with the ship-based observations, thus indicating that the Spreen model method is better for discriminating MY ice from FY ice from scatterometer data. These results provide a basis and reference for further retrieval of long-time sea ice type information for the whole Antarctica. Article in Journal/Newspaper Advances in Polar Science Antarc* Antarctic Antarctica Polar Science Polar Science Sea ice Weddell Sea Arctic Portal Library Antarctic The Antarctic Weddell Sea Weddell
institution Open Polar
collection Arctic Portal Library
op_collection_id ftarcticportal
language English
topic Oceans
spellingShingle Oceans
Xiang, Gao
Xiaoping, Pang
Qing, Ji
Sea ice classification in the Weddell Sea based on scatterometer data
topic_facet Oceans
description Sea ice type is an important factor for accurately calculating sea ice parameters such as sea ice concentration, sea ice area and sea ice thickness using satellite remote sensing data. In this study, sea ice in the Weddell Sea was classified from scatterometer data by the histogram threshold method and the Spreen model method, and evaluated and validated with the Antarctic Sea Ice Processes and Climate (ASPeCt) sea ice type ship-based observations. The results show that the two methods can both distinguish multi-year (MY) ice and first-year (FY) ice during the ice growth season, and that the histogram threshold method has a relatively larger MY ice classification extent than the Spreen model. The classification accuracy of the histogram threshold method is 77.8%, while the Spreen model method accuracy is 80.3% compared with the ship-based observations, thus indicating that the Spreen model method is better for discriminating MY ice from FY ice from scatterometer data. These results provide a basis and reference for further retrieval of long-time sea ice type information for the whole Antarctica.
format Article in Journal/Newspaper
author Xiang, Gao
Xiaoping, Pang
Qing, Ji
author_facet Xiang, Gao
Xiaoping, Pang
Qing, Ji
author_sort Xiang, Gao
title Sea ice classification in the Weddell Sea based on scatterometer data
title_short Sea ice classification in the Weddell Sea based on scatterometer data
title_full Sea ice classification in the Weddell Sea based on scatterometer data
title_fullStr Sea ice classification in the Weddell Sea based on scatterometer data
title_full_unstemmed Sea ice classification in the Weddell Sea based on scatterometer data
title_sort sea ice classification in the weddell sea based on scatterometer data
publisher Polar Research Institute of China - PRIC
publishDate 2017
url http://library.arcticportal.org/2638/
http://library.arcticportal.org/2638/1/A180205000005.pdf
geographic Antarctic
The Antarctic
Weddell Sea
Weddell
geographic_facet Antarctic
The Antarctic
Weddell Sea
Weddell
genre Advances in Polar Science
Antarc*
Antarctic
Antarctica
Polar Science
Polar Science
Sea ice
Weddell Sea
genre_facet Advances in Polar Science
Antarc*
Antarctic
Antarctica
Polar Science
Polar Science
Sea ice
Weddell Sea
op_relation http://library.arcticportal.org/2638/1/A180205000005.pdf
Xiang, Gao and Xiaoping, Pang and Qing, Ji (2017) Sea ice classification in the Weddell Sea based on scatterometer data. Advances in Polar Science, 28 (3). pp. 196-203.
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