Mapping and identification of ice-sheet and glacier features using optical and SAR data in parts of central Dronning Maud Land (cDML), East Antarctica

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 achi...

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Published in:Polar Science
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
Bia
Online Access:https://nipr.repo.nii.ac.jp/?action=repository_uri&item_id=16880
http://id.nii.ac.jp/1291/00016749/
id ftnipr:oai:nipr.repo.nii.ac.jp:00016880
record_format openpolar
spelling ftnipr:oai:nipr.repo.nii.ac.jp:00016880 2023-05-15T13:46:39+02:00 Mapping and identification of ice-sheet and glacier features using optical and SAR data in parts of central Dronning Maud Land (cDML), East Antarctica 2021-12 https://nipr.repo.nii.ac.jp/?action=repository_uri&item_id=16880 http://id.nii.ac.jp/1291/00016749/ en eng https://doi.org/10.1016/j.polar.2021.100740 https://nipr.repo.nii.ac.jp/?action=repository_uri&item_id=16880 http://id.nii.ac.jp/1291/00016749/ Polar Science, 30, 100740(2021-12) 18739652 Remote sensing Blue ice area Landsat-8 Sentinel-1 Antarctica Journal Article 2021 ftnipr https://doi.org/10.1016/j.polar.2021.100740 2023-02-18T20:11:55Z 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. Article in Journal/Newspaper Antarc* Antarctica Astrid Coast Dronning Maud Land East Antarctica Ice Sheet Polar Science Polar Science Princess Astrid Coast Queen Maud Land National Institute of Polar Research Repository, Japan East Antarctica Austral Dronning Maud Land Bia ENVELOPE(22.891,22.891,70.317,70.317) Queen Maud Land ENVELOPE(12.000,12.000,-72.500,-72.500) Polar Science 30 100740
institution Open Polar
collection National Institute of Polar Research Repository, Japan
op_collection_id ftnipr
language English
topic Remote sensing
Blue ice area
Landsat-8
Sentinel-1
Antarctica
spellingShingle Remote sensing
Blue ice area
Landsat-8
Sentinel-1
Antarctica
Mapping and identification of ice-sheet and glacier features using optical and SAR data in parts of central Dronning Maud Land (cDML), East Antarctica
topic_facet Remote sensing
Blue ice area
Landsat-8
Sentinel-1
Antarctica
description 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.
format Article in Journal/Newspaper
title Mapping and identification of ice-sheet and glacier features using optical and SAR data in parts of central Dronning Maud Land (cDML), East Antarctica
title_short Mapping and identification of ice-sheet and glacier features using optical and SAR data in parts of central Dronning Maud Land (cDML), East Antarctica
title_full Mapping and identification of ice-sheet and glacier features using optical and SAR data in parts of central Dronning Maud Land (cDML), East Antarctica
title_fullStr Mapping and identification of ice-sheet and glacier features using optical and SAR data in parts of central Dronning Maud Land (cDML), East Antarctica
title_full_unstemmed Mapping and identification of ice-sheet and glacier features using optical and SAR data in parts of central Dronning Maud Land (cDML), East Antarctica
title_sort mapping and identification of ice-sheet and glacier features using optical and sar data in parts of central dronning maud land (cdml), east antarctica
publishDate 2021
url https://nipr.repo.nii.ac.jp/?action=repository_uri&item_id=16880
http://id.nii.ac.jp/1291/00016749/
long_lat ENVELOPE(22.891,22.891,70.317,70.317)
ENVELOPE(12.000,12.000,-72.500,-72.500)
geographic East Antarctica
Austral
Dronning Maud Land
Bia
Queen Maud Land
geographic_facet East Antarctica
Austral
Dronning Maud Land
Bia
Queen Maud Land
genre Antarc*
Antarctica
Astrid Coast
Dronning Maud Land
East Antarctica
Ice Sheet
Polar Science
Polar Science
Princess Astrid Coast
Queen Maud Land
genre_facet Antarc*
Antarctica
Astrid Coast
Dronning Maud Land
East Antarctica
Ice Sheet
Polar Science
Polar Science
Princess Astrid Coast
Queen Maud Land
op_relation https://doi.org/10.1016/j.polar.2021.100740
https://nipr.repo.nii.ac.jp/?action=repository_uri&item_id=16880
http://id.nii.ac.jp/1291/00016749/
Polar Science, 30, 100740(2021-12)
18739652
op_doi https://doi.org/10.1016/j.polar.2021.100740
container_title Polar Science
container_volume 30
container_start_page 100740
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