Quad-Polarimetric Multi-Scale Analysis of Icebergs in ALOS-2 SAR Data: A Comparison between Icebergs in West and East Greenland
Icebergs are ocean hazards which require extensive monitoring. Synthetic Aperture Radar (SAR) satellites can help with this, however, SAR backscattering is strongly influenced by the properties of icebergs, together with meteorological and environmental conditions. In this work, we used five images...
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ftdoajarticles:oai:doaj.org/article:0c15e5da1e5440b8b9cd96a8743f1ecf 2023-05-15T16:03:39+02:00 Quad-Polarimetric Multi-Scale Analysis of Icebergs in ALOS-2 SAR Data: A Comparison between Icebergs in West and East Greenland Johnson Bailey Armando Marino 2020-06-01T00:00:00Z https://doi.org/10.3390/rs12111864 https://doaj.org/article/0c15e5da1e5440b8b9cd96a8743f1ecf EN eng MDPI AG https://www.mdpi.com/2072-4292/12/11/1864 https://doaj.org/toc/2072-4292 doi:10.3390/rs12111864 2072-4292 https://doaj.org/article/0c15e5da1e5440b8b9cd96a8743f1ecf Remote Sensing, Vol 12, Iss 1864, p 1864 (2020) SAR polarimetry icebergs Greenland backscatter Science Q article 2020 ftdoajarticles https://doi.org/10.3390/rs12111864 2022-12-31T16:09:07Z Icebergs are ocean hazards which require extensive monitoring. Synthetic Aperture Radar (SAR) satellites can help with this, however, SAR backscattering is strongly influenced by the properties of icebergs, together with meteorological and environmental conditions. In this work, we used five images of quad-pol ALOS-2/PALSAR-2 SAR data to analyse 1332 icebergs in five locations in west and east Greenland. We investigate the backscatter and polarimetric behaviour, by using several observables and decompositions such as the Cloude–Pottier eigenvalue/eigenvector and Yamaguchi model-based decompositions. Our results show that those icebergs can contain a variety of scattering mechanisms at L-band. However, the most common scattering mechanism for icebergs is surface scattering, with the second most dominant volume scattering (or more generally, clouds of dipoles). In some cases, we observed a double bounce dominance, but this is not as common. Interestingly, we identified that different locations (e.g., glaciers) produce icebergs with different polarimetric characteristics. We also performed a multi-scale analysis using boxcar 5 × 5 and 11 × 11 window sizes and this revealed that depending on locations (and therefore, characteristics) icebergs can be a collection of strong scatterers that are packed in a denser or less dense way. This gives hope for using quad-pol polarimetry to provide some iceberg classifications in the future. Article in Journal/Newspaper East Greenland Greenland Directory of Open Access Journals: DOAJ Articles Greenland Remote Sensing 12 11 1864 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
SAR polarimetry icebergs Greenland backscatter Science Q |
spellingShingle |
SAR polarimetry icebergs Greenland backscatter Science Q Johnson Bailey Armando Marino Quad-Polarimetric Multi-Scale Analysis of Icebergs in ALOS-2 SAR Data: A Comparison between Icebergs in West and East Greenland |
topic_facet |
SAR polarimetry icebergs Greenland backscatter Science Q |
description |
Icebergs are ocean hazards which require extensive monitoring. Synthetic Aperture Radar (SAR) satellites can help with this, however, SAR backscattering is strongly influenced by the properties of icebergs, together with meteorological and environmental conditions. In this work, we used five images of quad-pol ALOS-2/PALSAR-2 SAR data to analyse 1332 icebergs in five locations in west and east Greenland. We investigate the backscatter and polarimetric behaviour, by using several observables and decompositions such as the Cloude–Pottier eigenvalue/eigenvector and Yamaguchi model-based decompositions. Our results show that those icebergs can contain a variety of scattering mechanisms at L-band. However, the most common scattering mechanism for icebergs is surface scattering, with the second most dominant volume scattering (or more generally, clouds of dipoles). In some cases, we observed a double bounce dominance, but this is not as common. Interestingly, we identified that different locations (e.g., glaciers) produce icebergs with different polarimetric characteristics. We also performed a multi-scale analysis using boxcar 5 × 5 and 11 × 11 window sizes and this revealed that depending on locations (and therefore, characteristics) icebergs can be a collection of strong scatterers that are packed in a denser or less dense way. This gives hope for using quad-pol polarimetry to provide some iceberg classifications in the future. |
format |
Article in Journal/Newspaper |
author |
Johnson Bailey Armando Marino |
author_facet |
Johnson Bailey Armando Marino |
author_sort |
Johnson Bailey |
title |
Quad-Polarimetric Multi-Scale Analysis of Icebergs in ALOS-2 SAR Data: A Comparison between Icebergs in West and East Greenland |
title_short |
Quad-Polarimetric Multi-Scale Analysis of Icebergs in ALOS-2 SAR Data: A Comparison between Icebergs in West and East Greenland |
title_full |
Quad-Polarimetric Multi-Scale Analysis of Icebergs in ALOS-2 SAR Data: A Comparison between Icebergs in West and East Greenland |
title_fullStr |
Quad-Polarimetric Multi-Scale Analysis of Icebergs in ALOS-2 SAR Data: A Comparison between Icebergs in West and East Greenland |
title_full_unstemmed |
Quad-Polarimetric Multi-Scale Analysis of Icebergs in ALOS-2 SAR Data: A Comparison between Icebergs in West and East Greenland |
title_sort |
quad-polarimetric multi-scale analysis of icebergs in alos-2 sar data: a comparison between icebergs in west and east greenland |
publisher |
MDPI AG |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12111864 https://doaj.org/article/0c15e5da1e5440b8b9cd96a8743f1ecf |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
East Greenland Greenland |
genre_facet |
East Greenland Greenland |
op_source |
Remote Sensing, Vol 12, Iss 1864, p 1864 (2020) |
op_relation |
https://www.mdpi.com/2072-4292/12/11/1864 https://doaj.org/toc/2072-4292 doi:10.3390/rs12111864 2072-4292 https://doaj.org/article/0c15e5da1e5440b8b9cd96a8743f1ecf |
op_doi |
https://doi.org/10.3390/rs12111864 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
11 |
container_start_page |
1864 |
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1766399348085620736 |