Item type |
学術雑誌論文 / Journal Article(1) |
公開日 |
2022-05-20 |
タイトル |
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タイトル |
Mapping and identification of ice-sheet and glacier features using optical and SAR data in parts of central Dronning Maud Land (cDML), East Antarctica |
タイトル |
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言語 |
en |
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タイトル |
Mapping and identification of ice-sheet and glacier features using optical and SAR data in parts of central Dronning Maud Land (cDML), East Antarctica |
言語 |
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言語 |
eng |
キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
Remote sensing |
キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
Blue ice area |
キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
Landsat-8 |
キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
Sentinel-1 |
キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
Antarctica |
資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
journal article |
アクセス権 |
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アクセス権 |
metadata only access |
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アクセス権URI |
http://purl.org/coar/access_right/c_14cb |
著者 |
Chouksey, Arpit
Thakur, Praveen K.
Sahni, Gaurav
Swain, Ashit K.
Aggarwal, S.P.
Kumar, A.S.
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抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
High-resolution satellite data is used to extract ice-sheet features in Princess-Astrid Coast of Queen Maud Land, in Droning Maud Land between 70° and 72°S and 5°-20°E, East Antarctica. Their mapping and monitoring is cumbersome and time-consuming using traditional survey methods. Therefore, to achieve desirable results, RS based methods were employed. The main ice-sheet and glacial features mapped are BlueIce-Area (BIA), melt water channels, glacier radar zones, crevasse, nunataks, moraine, supraglacial lakes, and wind scoop. Support-vector-machine (SVM) and supervised classification algorithm were applied over Landsat-8, RISAT-1 and Sentinel-1 data to classify these features. Surface patterns of snow and clouds were found in the continental ice-sheet, which becomes an obstacle to clearly extract sub-surface icesheet features in optical data. Therefore, to improve mapping of snow and ice features, high-resolution microwave data was also used. By comparing optical and microwave data, it was found that more sub-surface features could be mapped using microwave data. Further, RS was used to map the temporal change in the glacial features using two-year images for the austral summer of 2016 and 2017. It was found that diurnal as-well-as seasonal changes in surface ice features occur due to changes in local weather and can be mapped using temporal RS data. |
書誌情報 |
en : Polar Science
巻 30,
p. 100740,
発行日 2021-12
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ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
18739652 |
DOI |
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識別子タイプ |
DOI |
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関連識別子 |
https://doi.org/10.1016/j.polar.2021.100740 |
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関連名称 |
10.1016/j.polar.2021.100740 |