Crevasse and rift detection in Antarctica from TerraSAR-X satellite imagery
Surface crevasses covered by snow bridges can be mapped remotely on ice sheets and glaciers using active microwave synthetic aperture radar. They are highlighted against the surrounding snow due to increased scattering from the side-walls and base of snow bridges and usually appear as linear feature...
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Online Access: | https://elib.dlr.de/143367/ https://elib.dlr.de/143367/1/1-s2.0-S0165232X21000653-main.pdf https://www.sciencedirect.com/science/article/pii/S0165232X21000653 |
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ftdlr:oai:elib.dlr.de:143367 2023-07-23T04:15:08+02:00 Crevasse and rift detection in Antarctica from TerraSAR-X satellite imagery Marsh, O.J. Price, D. Courville, Z.R. Floricioiu, Dana 2021-03-31 application/pdf https://elib.dlr.de/143367/ https://elib.dlr.de/143367/1/1-s2.0-S0165232X21000653-main.pdf https://www.sciencedirect.com/science/article/pii/S0165232X21000653 en eng Elsevier https://elib.dlr.de/143367/1/1-s2.0-S0165232X21000653-main.pdf Marsh, O.J. und Price, D. und Courville, Z.R. und Floricioiu, Dana (2021) Crevasse and rift detection in Antarctica from TerraSAR-X satellite imagery. Cold Regions Science and Technology, 187 (103284), Seiten 1-9. Elsevier. doi:10.1016/j.coldregions.2021.103284 <https://doi.org/10.1016/j.coldregions.2021.103284>. ISSN 0165-232X. cc_by_nc_nd SAR-Signalverarbeitung Zeitschriftenbeitrag PeerReviewed 2021 ftdlr https://doi.org/10.1016/j.coldregions.2021.103284 2023-07-02T23:20:16Z Surface crevasses covered by snow bridges can be mapped remotely on ice sheets and glaciers using active microwave synthetic aperture radar. They are highlighted against the surrounding snow due to increased scattering from the side-walls and base of snow bridges and usually appear as linear features. The contrast between crevasses and crevasse-free regions depends on the design of the sensor, the image acquisition parameters and the properties of the snow. Here we quantify how crevassed regions are represented at X-band for different polarizations, look directions and incidence angles, and discuss whether additional information about their physical properties can be gained from their radar signature. Snow bridge thicknesses and crevasse widths are measured on the ground in the McMurdo Shear Zone and Brunt Ice Shelf by ground-penetrating radar and excavation. TerraSAR-X is shown to reliably distinguish crevasse location, balancing penetration into the snow and horizontal resolution. We provide recommendations for radar imaging parameters that optimize the identification of individual crevasses and crevassed regions. Article in Journal/Newspaper Antarc* Antarctica Brunt Ice Shelf Ice Shelf German Aerospace Center: elib - DLR electronic library Brunt Ice Shelf ENVELOPE(-22.500,-22.500,-74.750,-74.750) Cold Regions Science and Technology 187 103284 |
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Open Polar |
collection |
German Aerospace Center: elib - DLR electronic library |
op_collection_id |
ftdlr |
language |
English |
topic |
SAR-Signalverarbeitung |
spellingShingle |
SAR-Signalverarbeitung Marsh, O.J. Price, D. Courville, Z.R. Floricioiu, Dana Crevasse and rift detection in Antarctica from TerraSAR-X satellite imagery |
topic_facet |
SAR-Signalverarbeitung |
description |
Surface crevasses covered by snow bridges can be mapped remotely on ice sheets and glaciers using active microwave synthetic aperture radar. They are highlighted against the surrounding snow due to increased scattering from the side-walls and base of snow bridges and usually appear as linear features. The contrast between crevasses and crevasse-free regions depends on the design of the sensor, the image acquisition parameters and the properties of the snow. Here we quantify how crevassed regions are represented at X-band for different polarizations, look directions and incidence angles, and discuss whether additional information about their physical properties can be gained from their radar signature. Snow bridge thicknesses and crevasse widths are measured on the ground in the McMurdo Shear Zone and Brunt Ice Shelf by ground-penetrating radar and excavation. TerraSAR-X is shown to reliably distinguish crevasse location, balancing penetration into the snow and horizontal resolution. We provide recommendations for radar imaging parameters that optimize the identification of individual crevasses and crevassed regions. |
format |
Article in Journal/Newspaper |
author |
Marsh, O.J. Price, D. Courville, Z.R. Floricioiu, Dana |
author_facet |
Marsh, O.J. Price, D. Courville, Z.R. Floricioiu, Dana |
author_sort |
Marsh, O.J. |
title |
Crevasse and rift detection in Antarctica from TerraSAR-X satellite imagery |
title_short |
Crevasse and rift detection in Antarctica from TerraSAR-X satellite imagery |
title_full |
Crevasse and rift detection in Antarctica from TerraSAR-X satellite imagery |
title_fullStr |
Crevasse and rift detection in Antarctica from TerraSAR-X satellite imagery |
title_full_unstemmed |
Crevasse and rift detection in Antarctica from TerraSAR-X satellite imagery |
title_sort |
crevasse and rift detection in antarctica from terrasar-x satellite imagery |
publisher |
Elsevier |
publishDate |
2021 |
url |
https://elib.dlr.de/143367/ https://elib.dlr.de/143367/1/1-s2.0-S0165232X21000653-main.pdf https://www.sciencedirect.com/science/article/pii/S0165232X21000653 |
long_lat |
ENVELOPE(-22.500,-22.500,-74.750,-74.750) |
geographic |
Brunt Ice Shelf |
geographic_facet |
Brunt Ice Shelf |
genre |
Antarc* Antarctica Brunt Ice Shelf Ice Shelf |
genre_facet |
Antarc* Antarctica Brunt Ice Shelf Ice Shelf |
op_relation |
https://elib.dlr.de/143367/1/1-s2.0-S0165232X21000653-main.pdf Marsh, O.J. und Price, D. und Courville, Z.R. und Floricioiu, Dana (2021) Crevasse and rift detection in Antarctica from TerraSAR-X satellite imagery. Cold Regions Science and Technology, 187 (103284), Seiten 1-9. Elsevier. doi:10.1016/j.coldregions.2021.103284 <https://doi.org/10.1016/j.coldregions.2021.103284>. ISSN 0165-232X. |
op_rights |
cc_by_nc_nd |
op_doi |
https://doi.org/10.1016/j.coldregions.2021.103284 |
container_title |
Cold Regions Science and Technology |
container_volume |
187 |
container_start_page |
103284 |
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1772189141823389696 |