Remote Sensing of Surface Melt on Antarctica: Opportunities and Challenges
Surface melt is an important driver of ice shelf disintegration and its consequent mass loss over the Antarctic Ice Sheet. Monitoring surface melt using satellite remote sensing can enhance our understanding of ice shelf stability. However, the sensors do not measure the actual physical process of s...
Published in: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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Online Access: | http://resolver.tudelft.nl/uuid:96c4918b-4df6-4135-bff4-e9121e11a245 https://doi.org/10.1109/JSTARS.2022.3216953 |
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fttudelft:oai:tudelft.nl:uuid:96c4918b-4df6-4135-bff4-e9121e11a245 2024-02-11T09:56:12+01:00 Remote Sensing of Surface Melt on Antarctica: Opportunities and Challenges de Roda Husman, S. (author) Hu, Zhongyang (author) Wouters, B. (author) Munneke, Peter Kuipers (author) Veldhuijsen, Sanne (author) Lhermitte, S.L.M. (author) 2022 http://resolver.tudelft.nl/uuid:96c4918b-4df6-4135-bff4-e9121e11a245 https://doi.org/10.1109/JSTARS.2022.3216953 en eng http://www.scopus.com/inward/record.url?scp=85141517353&partnerID=8YFLogxK IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing--1939-1404--af1f29ba-548e-4319-804e-dae0f7099597 http://resolver.tudelft.nl/uuid:96c4918b-4df6-4135-bff4-e9121e11a245 https://doi.org/10.1109/JSTARS.2022.3216953 © 2022 S. de Roda Husman, Zhongyang Hu, B. Wouters, Peter Kuipers Munneke, Sanne Veldhuijsen, S.L.M. Lhermitte Antarctic Ice Sheet Antarctica Earth Observation ice shelves Land surface melt detection multi-source remote sensing Ocean temperature polar regions satellite observations Sea surface Sensors Surface topography Surface treatment journal article 2022 fttudelft https://doi.org/10.1109/JSTARS.2022.3216953 2024-01-24T23:34:23Z Surface melt is an important driver of ice shelf disintegration and its consequent mass loss over the Antarctic Ice Sheet. Monitoring surface melt using satellite remote sensing can enhance our understanding of ice shelf stability. However, the sensors do not measure the actual physical process of surface melt, but rather observe the presence of liquid water. Moreover, the sensor observations are influenced by the sensor characteristics and surface properties. Therefore, large inconsistencies can exist in the derived melt estimates from different sensors. In this study, we apply state-of-the-art melt detection algorithms to four frequently used remote sensing sensors, i.e., two active microwave sensors, which are Advanced Scatterometer (ASCAT) and Sentinel-1, a passive microwave sensor, i.e., Special Sensor Microwave Imager/Sounder (SSMIS), and an optical sensor, i.e., Moderate Resolution Imaging Spectroradiometer (MODIS). We intercompare the melt detection results over the entire Antarctic Ice Sheet and four selected study regions for the melt seasons 2015-2020. Our results show large spatiotemporal differences in detected melt between the sensors, with particular disagreement in blue ice areas, in aquifer regions, and during wintertime surface melt. We discuss that discrepancies between sensors are mainly due to cloud obstruction and polar darkness, frequency-dependent penetration of satellite signals, temporal resolution, and spatial resolution, as well as the applied melt detection methods. Nevertheless, we argue that different sensors can complement each other, enabling improved detection of surface melt over the Antarctic Ice Sheet. Physical and Space Geodesy Mathematical Geodesy and Positioning Article in Journal/Newspaper Antarc* Antarctic Antarctica Ice Sheet Ice Shelf Ice Shelves Delft University of Technology: Institutional Repository Antarctic The Antarctic IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 16 2462 2480 |
institution |
Open Polar |
collection |
Delft University of Technology: Institutional Repository |
op_collection_id |
fttudelft |
language |
English |
topic |
Antarctic Ice Sheet Antarctica Earth Observation ice shelves Land surface melt detection multi-source remote sensing Ocean temperature polar regions satellite observations Sea surface Sensors Surface topography Surface treatment |
spellingShingle |
Antarctic Ice Sheet Antarctica Earth Observation ice shelves Land surface melt detection multi-source remote sensing Ocean temperature polar regions satellite observations Sea surface Sensors Surface topography Surface treatment de Roda Husman, S. (author) Hu, Zhongyang (author) Wouters, B. (author) Munneke, Peter Kuipers (author) Veldhuijsen, Sanne (author) Lhermitte, S.L.M. (author) Remote Sensing of Surface Melt on Antarctica: Opportunities and Challenges |
topic_facet |
Antarctic Ice Sheet Antarctica Earth Observation ice shelves Land surface melt detection multi-source remote sensing Ocean temperature polar regions satellite observations Sea surface Sensors Surface topography Surface treatment |
description |
Surface melt is an important driver of ice shelf disintegration and its consequent mass loss over the Antarctic Ice Sheet. Monitoring surface melt using satellite remote sensing can enhance our understanding of ice shelf stability. However, the sensors do not measure the actual physical process of surface melt, but rather observe the presence of liquid water. Moreover, the sensor observations are influenced by the sensor characteristics and surface properties. Therefore, large inconsistencies can exist in the derived melt estimates from different sensors. In this study, we apply state-of-the-art melt detection algorithms to four frequently used remote sensing sensors, i.e., two active microwave sensors, which are Advanced Scatterometer (ASCAT) and Sentinel-1, a passive microwave sensor, i.e., Special Sensor Microwave Imager/Sounder (SSMIS), and an optical sensor, i.e., Moderate Resolution Imaging Spectroradiometer (MODIS). We intercompare the melt detection results over the entire Antarctic Ice Sheet and four selected study regions for the melt seasons 2015-2020. Our results show large spatiotemporal differences in detected melt between the sensors, with particular disagreement in blue ice areas, in aquifer regions, and during wintertime surface melt. We discuss that discrepancies between sensors are mainly due to cloud obstruction and polar darkness, frequency-dependent penetration of satellite signals, temporal resolution, and spatial resolution, as well as the applied melt detection methods. Nevertheless, we argue that different sensors can complement each other, enabling improved detection of surface melt over the Antarctic Ice Sheet. Physical and Space Geodesy Mathematical Geodesy and Positioning |
format |
Article in Journal/Newspaper |
author |
de Roda Husman, S. (author) Hu, Zhongyang (author) Wouters, B. (author) Munneke, Peter Kuipers (author) Veldhuijsen, Sanne (author) Lhermitte, S.L.M. (author) |
author_facet |
de Roda Husman, S. (author) Hu, Zhongyang (author) Wouters, B. (author) Munneke, Peter Kuipers (author) Veldhuijsen, Sanne (author) Lhermitte, S.L.M. (author) |
author_sort |
de Roda Husman, S. (author) |
title |
Remote Sensing of Surface Melt on Antarctica: Opportunities and Challenges |
title_short |
Remote Sensing of Surface Melt on Antarctica: Opportunities and Challenges |
title_full |
Remote Sensing of Surface Melt on Antarctica: Opportunities and Challenges |
title_fullStr |
Remote Sensing of Surface Melt on Antarctica: Opportunities and Challenges |
title_full_unstemmed |
Remote Sensing of Surface Melt on Antarctica: Opportunities and Challenges |
title_sort |
remote sensing of surface melt on antarctica: opportunities and challenges |
publishDate |
2022 |
url |
http://resolver.tudelft.nl/uuid:96c4918b-4df6-4135-bff4-e9121e11a245 https://doi.org/10.1109/JSTARS.2022.3216953 |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic Antarctica Ice Sheet Ice Shelf Ice Shelves |
genre_facet |
Antarc* Antarctic Antarctica Ice Sheet Ice Shelf Ice Shelves |
op_relation |
http://www.scopus.com/inward/record.url?scp=85141517353&partnerID=8YFLogxK IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing--1939-1404--af1f29ba-548e-4319-804e-dae0f7099597 http://resolver.tudelft.nl/uuid:96c4918b-4df6-4135-bff4-e9121e11a245 https://doi.org/10.1109/JSTARS.2022.3216953 |
op_rights |
© 2022 S. de Roda Husman, Zhongyang Hu, B. Wouters, Peter Kuipers Munneke, Sanne Veldhuijsen, S.L.M. Lhermitte |
op_doi |
https://doi.org/10.1109/JSTARS.2022.3216953 |
container_title |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
container_volume |
16 |
container_start_page |
2462 |
op_container_end_page |
2480 |
_version_ |
1790601282544730112 |