Classification of Ice in Lützow-Holm Bay, East Antarctica, Using Data from ASCAT and AMSR2

This paper presents an ice classification algorithm based on combined active and passive microwave radiometer data in Lützow-Holm Bay (LHB), East Antarctica. The ice classification algorithm is developed based on the threshold values of an advanced scatterometer (ASCAT) and advanced microwave scanni...

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Main Authors: Seita Hoshino, Kazutaka Tateyama, Koh Izumiyama
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/12/19/3179
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author Seita Hoshino
Kazutaka Tateyama
Koh Izumiyama
author_facet Seita Hoshino
Kazutaka Tateyama
Koh Izumiyama
author_sort Seita Hoshino
collection DOAJ
description This paper presents an ice classification algorithm based on combined active and passive microwave radiometer data in Lützow-Holm Bay (LHB), East Antarctica. The ice classification algorithm is developed based on the threshold values of an advanced scatterometer (ASCAT) and advanced microwave scanning radiometer 2 (here, AMSR2). These values are calculated via the features of various ice types, including open ice, first-year (FY) ice, multi-year (MY) ice, MY ice including icebergs (MY IB), ice shelves, coastal ice sheets, and inland ice sheets. To verify the validity of the ice classification algorithm, the algorithm results are compared with visual observation data and satellite imagery. Except for the flaw polynya and area with surface melting, the FY ice, MY ice, and the ice shelf areas estimated here using the proposed ice classification algorithm match those discernible from the verification data. Inter-annual changes in the areal extents of FY ice, MY ice, and the ice shelves are investigated here using the proposed ice classification algorithm. Investigation of MY ice and ice shelf areas revealed that the breakup of MY ice induced a breakup of an ice shelf. A comparison of the FY ice and MY ice areas showed the replacement of these ice types. The proposed ice classification algorithm can detect ice breakup events as quantitative changes in the distribution and ice type. In future work, we plan to classify sea ice in other sea ice areas, applying the proposed algorithm throughout the Antarctic region.
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spelling doaj.art-5bb5e4c4b39743f88921b774488b82022023-11-20T15:23:55ZengMDPI AGRemote Sensing2072-42922020-09-011219317910.3390/rs12193179Classification of Ice in Lützow-Holm Bay, East Antarctica, Using Data from ASCAT and AMSR2Seita Hoshino0Kazutaka Tateyama1Koh Izumiyama2Aeronautical Technology Directorate, Japan Aero Exploration Agency, 6-13-1 Osawa Mitaka, Tokyo 183-0002, JapanEnvironment Protection and Disaster Prevention Course Program, Kitami Institute of Technology, 165 Koen-cho Kitami, Hokkaido 090-8507, JapanArctic Research Center, Hokkaido University, Kita-21 Kita-ku, Sapporo 001-0021, JapanThis paper presents an ice classification algorithm based on combined active and passive microwave radiometer data in Lützow-Holm Bay (LHB), East Antarctica. The ice classification algorithm is developed based on the threshold values of an advanced scatterometer (ASCAT) and advanced microwave scanning radiometer 2 (here, AMSR2). These values are calculated via the features of various ice types, including open ice, first-year (FY) ice, multi-year (MY) ice, MY ice including icebergs (MY IB), ice shelves, coastal ice sheets, and inland ice sheets. To verify the validity of the ice classification algorithm, the algorithm results are compared with visual observation data and satellite imagery. Except for the flaw polynya and area with surface melting, the FY ice, MY ice, and the ice shelf areas estimated here using the proposed ice classification algorithm match those discernible from the verification data. Inter-annual changes in the areal extents of FY ice, MY ice, and the ice shelves are investigated here using the proposed ice classification algorithm. Investigation of MY ice and ice shelf areas revealed that the breakup of MY ice induced a breakup of an ice shelf. A comparison of the FY ice and MY ice areas showed the replacement of these ice types. The proposed ice classification algorithm can detect ice breakup events as quantitative changes in the distribution and ice type. In future work, we plan to classify sea ice in other sea ice areas, applying the proposed algorithm throughout the Antarctic region.https://www.mdpi.com/2072-4292/12/19/3179sea iceice sheetice classificationsatellite-based remote-sensingAntarctic
spellingShingle Seita Hoshino
Kazutaka Tateyama
Koh Izumiyama
Classification of Ice in Lützow-Holm Bay, East Antarctica, Using Data from ASCAT and AMSR2
Remote Sensing
sea ice
ice sheet
ice classification
satellite-based remote-sensing
Antarctic
title Classification of Ice in Lützow-Holm Bay, East Antarctica, Using Data from ASCAT and AMSR2
title_full Classification of Ice in Lützow-Holm Bay, East Antarctica, Using Data from ASCAT and AMSR2
title_fullStr Classification of Ice in Lützow-Holm Bay, East Antarctica, Using Data from ASCAT and AMSR2
title_full_unstemmed Classification of Ice in Lützow-Holm Bay, East Antarctica, Using Data from ASCAT and AMSR2
title_short Classification of Ice in Lützow-Holm Bay, East Antarctica, Using Data from ASCAT and AMSR2
title_sort classification of ice in lutzow holm bay east antarctica using data from ascat and amsr2
topic sea ice
ice sheet
ice classification
satellite-based remote-sensing
Antarctic
url https://www.mdpi.com/2072-4292/12/19/3179
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AT kazutakatateyama classificationoficeinlutzowholmbayeastantarcticausingdatafromascatandamsr2
AT kohizumiyama classificationoficeinlutzowholmbayeastantarcticausingdatafromascatandamsr2