Antarctica Supraglacial Lakes Sentinel-1 SAR Images ...
This dataset contains synthetic aperture radar (SAR) images of supraglacial lakes on the Antarctic ice shelves, acquired by the Sentinel-1 satellite. Supraglacial lakes are surface meltwater features that can affect the stability and dynamics of ice shelves by hydrofracturing, basal sliding, or surf...
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Zenodo
2023
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Online Access: | https://dx.doi.org/10.5281/zenodo.7814707 https://zenodo.org/record/7814707 |
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ftdatacite:10.5281/zenodo.7814707 2023-06-11T04:07:09+02:00 Antarctica Supraglacial Lakes Sentinel-1 SAR Images ... , Artan 2023 https://dx.doi.org/10.5281/zenodo.7814707 https://zenodo.org/record/7814707 en eng Zenodo https://dx.doi.org/10.5281/zenodo.7814708 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess Antarctica Sentinel-1 SAR Supraglacial Lakes ImageObject Photo Image graphic 2023 ftdatacite https://doi.org/10.5281/zenodo.781470710.5281/zenodo.7814708 2023-05-02T09:49:51Z This dataset contains synthetic aperture radar (SAR) images of supraglacial lakes on the Antarctic ice shelves, acquired by the Sentinel-1 satellite. Supraglacial lakes are surface meltwater features that can affect the stability and dynamics of ice shelves by hydrofracturing, basal sliding, or surface thinning. Monitoring the spatio-temporal distribution and evolution of these lakes is important for understanding the impact of surface meltwater on ice shelf collapse and sea level rise. The dataset covers four key regions: the Amery, Roi Baudouin, Nivlisen, and Riiser-Larsen ice shelves, which are characterized by extensive surface meltwater features. The images are single-polarized (VV or VH) and have a spatial resolution of 10 m. The images are processed using a modified U-Net algorithm for semantic segmentation of supraglacial lakes, based on deep learning and multiscale feature extraction. The algorithm is trained and validated on Landsat 8 and Sentinel-2 optical imagery, which provide high-resolution ... Still Image Antarc* Antarctic Antarctica Ice Shelf Ice Shelves DataCite Metadata Store (German National Library of Science and Technology) Antarctic The Antarctic Amery ENVELOPE(-94.063,-94.063,56.565,56.565) The Sentinel ENVELOPE(73.317,73.317,-52.983,-52.983) Riiser-Larsen ENVELOPE(50.667,50.667,-66.783,-66.783) Roi Baudouin ENVELOPE(24.461,24.461,-70.438,-70.438) Nivlisen ENVELOPE(11.000,11.000,-70.333,-70.333) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Antarctica Sentinel-1 SAR Supraglacial Lakes |
spellingShingle |
Antarctica Sentinel-1 SAR Supraglacial Lakes , Artan Antarctica Supraglacial Lakes Sentinel-1 SAR Images ... |
topic_facet |
Antarctica Sentinel-1 SAR Supraglacial Lakes |
description |
This dataset contains synthetic aperture radar (SAR) images of supraglacial lakes on the Antarctic ice shelves, acquired by the Sentinel-1 satellite. Supraglacial lakes are surface meltwater features that can affect the stability and dynamics of ice shelves by hydrofracturing, basal sliding, or surface thinning. Monitoring the spatio-temporal distribution and evolution of these lakes is important for understanding the impact of surface meltwater on ice shelf collapse and sea level rise. The dataset covers four key regions: the Amery, Roi Baudouin, Nivlisen, and Riiser-Larsen ice shelves, which are characterized by extensive surface meltwater features. The images are single-polarized (VV or VH) and have a spatial resolution of 10 m. The images are processed using a modified U-Net algorithm for semantic segmentation of supraglacial lakes, based on deep learning and multiscale feature extraction. The algorithm is trained and validated on Landsat 8 and Sentinel-2 optical imagery, which provide high-resolution ... |
format |
Still Image |
author |
, Artan |
author_facet |
, Artan |
author_sort |
, Artan |
title |
Antarctica Supraglacial Lakes Sentinel-1 SAR Images ... |
title_short |
Antarctica Supraglacial Lakes Sentinel-1 SAR Images ... |
title_full |
Antarctica Supraglacial Lakes Sentinel-1 SAR Images ... |
title_fullStr |
Antarctica Supraglacial Lakes Sentinel-1 SAR Images ... |
title_full_unstemmed |
Antarctica Supraglacial Lakes Sentinel-1 SAR Images ... |
title_sort |
antarctica supraglacial lakes sentinel-1 sar images ... |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://dx.doi.org/10.5281/zenodo.7814707 https://zenodo.org/record/7814707 |
long_lat |
ENVELOPE(-94.063,-94.063,56.565,56.565) ENVELOPE(73.317,73.317,-52.983,-52.983) ENVELOPE(50.667,50.667,-66.783,-66.783) ENVELOPE(24.461,24.461,-70.438,-70.438) ENVELOPE(11.000,11.000,-70.333,-70.333) |
geographic |
Antarctic The Antarctic Amery The Sentinel Riiser-Larsen Roi Baudouin Nivlisen |
geographic_facet |
Antarctic The Antarctic Amery The Sentinel Riiser-Larsen Roi Baudouin Nivlisen |
genre |
Antarc* Antarctic Antarctica Ice Shelf Ice Shelves |
genre_facet |
Antarc* Antarctic Antarctica Ice Shelf Ice Shelves |
op_relation |
https://dx.doi.org/10.5281/zenodo.7814708 |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.781470710.5281/zenodo.7814708 |
_version_ |
1768379884887867392 |