Ice Cover Delineation Over Devon Iceland Using Sentinel Polarimetric SAR and Optical Data ...
Accurate information on the extent and dynamics of ice cover is important on a global scale. Owing to the daynight and weather-independent imagery capabilities, Sentinel-1 (S1) is a reliable source for ice monitoring using synthetic aperture radar (SAR) images. Therefore, this study focuses on an un...
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Online Access: | https://dx.doi.org/10.5281/zenodo.8246262 https://zenodo.org/record/8246262 |
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ftdatacite:10.5281/zenodo.8246262 2023-10-01T03:55:38+02:00 Ice Cover Delineation Over Devon Iceland Using Sentinel Polarimetric SAR and Optical Data ... Iqbal, Muhammad Amjad Anghel, Andrei Datcu, Mihai 2023 https://dx.doi.org/10.5281/zenodo.8246262 https://zenodo.org/record/8246262 en eng Zenodo https://zenodo.org/communities/menelaos-nt https://dx.doi.org/10.5281/zenodo.8246261 https://zenodo.org/communities/menelaos-nt Closed Access info:eu-repo/semantics/closedAccess SAR, Ice-cover, CFAR, burr distribution, polarimetric Article ConferencePaper 2023 ftdatacite https://doi.org/10.5281/zenodo.824626210.5281/zenodo.8246261 2023-09-04T13:54:42Z Accurate information on the extent and dynamics of ice cover is important on a global scale. Owing to the daynight and weather-independent imagery capabilities, Sentinel-1 (S1) is a reliable source for ice monitoring using synthetic aperture radar (SAR) images. Therefore, this study focuses on an unsupervised method for extracting ice cover by exploiting dual-pol S1 SAR data over Devon Island, which is surrounded by sea. We adopted a constant false alarm rate (CFAR) detector for ice cover detection by examining the empirical distribution of a given metric over a ice region, followed by statistical comparison of the resulting distribution with the theoretical “Burr” distribution to derive the CFAR threshold value. To achieve ice detection, a binary image is first retrieved, and then the ice edges are quantified using the Canny edge detector. To evaluate the effectiveness of the proposed method, we applied it to SAR data from a challenging environment, including terrain, ice, and water. The results were ... Conference Object Devon Island Iceland DataCite Metadata Store (German National Library of Science and Technology) Devon Island ENVELOPE(-88.000,-88.000,75.252,75.252) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
SAR, Ice-cover, CFAR, burr distribution, polarimetric |
spellingShingle |
SAR, Ice-cover, CFAR, burr distribution, polarimetric Iqbal, Muhammad Amjad Anghel, Andrei Datcu, Mihai Ice Cover Delineation Over Devon Iceland Using Sentinel Polarimetric SAR and Optical Data ... |
topic_facet |
SAR, Ice-cover, CFAR, burr distribution, polarimetric |
description |
Accurate information on the extent and dynamics of ice cover is important on a global scale. Owing to the daynight and weather-independent imagery capabilities, Sentinel-1 (S1) is a reliable source for ice monitoring using synthetic aperture radar (SAR) images. Therefore, this study focuses on an unsupervised method for extracting ice cover by exploiting dual-pol S1 SAR data over Devon Island, which is surrounded by sea. We adopted a constant false alarm rate (CFAR) detector for ice cover detection by examining the empirical distribution of a given metric over a ice region, followed by statistical comparison of the resulting distribution with the theoretical “Burr” distribution to derive the CFAR threshold value. To achieve ice detection, a binary image is first retrieved, and then the ice edges are quantified using the Canny edge detector. To evaluate the effectiveness of the proposed method, we applied it to SAR data from a challenging environment, including terrain, ice, and water. The results were ... |
format |
Conference Object |
author |
Iqbal, Muhammad Amjad Anghel, Andrei Datcu, Mihai |
author_facet |
Iqbal, Muhammad Amjad Anghel, Andrei Datcu, Mihai |
author_sort |
Iqbal, Muhammad Amjad |
title |
Ice Cover Delineation Over Devon Iceland Using Sentinel Polarimetric SAR and Optical Data ... |
title_short |
Ice Cover Delineation Over Devon Iceland Using Sentinel Polarimetric SAR and Optical Data ... |
title_full |
Ice Cover Delineation Over Devon Iceland Using Sentinel Polarimetric SAR and Optical Data ... |
title_fullStr |
Ice Cover Delineation Over Devon Iceland Using Sentinel Polarimetric SAR and Optical Data ... |
title_full_unstemmed |
Ice Cover Delineation Over Devon Iceland Using Sentinel Polarimetric SAR and Optical Data ... |
title_sort |
ice cover delineation over devon iceland using sentinel polarimetric sar and optical data ... |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://dx.doi.org/10.5281/zenodo.8246262 https://zenodo.org/record/8246262 |
long_lat |
ENVELOPE(-88.000,-88.000,75.252,75.252) |
geographic |
Devon Island |
geographic_facet |
Devon Island |
genre |
Devon Island Iceland |
genre_facet |
Devon Island Iceland |
op_relation |
https://zenodo.org/communities/menelaos-nt https://dx.doi.org/10.5281/zenodo.8246261 https://zenodo.org/communities/menelaos-nt |
op_rights |
Closed Access info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.5281/zenodo.824626210.5281/zenodo.8246261 |
_version_ |
1778524228822237184 |