Retrieval of the thickness of undeformed sea ice from simulated C-band compact polarimetric SAR images
In this paper we introduce a parameter for the retrieval of the thickness of undeformed first-year sea ice that is specifically adapted to compact polarimetric (CP) synthetic aperture radar (SAR) images. The parameter is denoted as the "CP ratio". In model simulations we investigated the s...
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ftcopernicus:oai:publications.copernicus.org:tc32094 2023-05-15T17:06:10+02:00 Retrieval of the thickness of undeformed sea ice from simulated C-band compact polarimetric SAR images Zhang, Xi Dierking, Wolfgang Zhang, Jie Meng, Junmin Lang, Haitao 2018-09-27 application/pdf https://doi.org/10.5194/tc-10-1529-2016 https://tc.copernicus.org/articles/10/1529/2016/ eng eng doi:10.5194/tc-10-1529-2016 https://tc.copernicus.org/articles/10/1529/2016/ eISSN: 1994-0424 Text 2018 ftcopernicus https://doi.org/10.5194/tc-10-1529-2016 2020-07-20T16:24:03Z In this paper we introduce a parameter for the retrieval of the thickness of undeformed first-year sea ice that is specifically adapted to compact polarimetric (CP) synthetic aperture radar (SAR) images. The parameter is denoted as the "CP ratio". In model simulations we investigated the sensitivity of the CP ratio to the dielectric constant, ice thickness, ice surface roughness, and radar incidence angle. From the results of the simulations we deduced optimal sea ice conditions and radar incidence angles for the ice thickness retrieval. C-band SAR data acquired over the Labrador Sea in circular transmit and linear receive (CTLR) mode were generated from RADARSAT-2 quad-polarization images. In comparison with results from helicopter-borne measurements, we tested different empirical equations for the retrieval of ice thickness. An exponential fit between the CP ratio and ice thickness provides the most reliable results. Based on a validation using other compact polarimetric SAR images from the same region, we found a root mean square (rms) error of 8 cm and a maximum correlation coefficient of 0.94 for the retrieval procedure when applying it to level ice between 0.1 and 0.8 m thick. Text Labrador Sea Sea ice Copernicus Publications: E-Journals The Cryosphere 10 4 1529 1545 |
institution |
Open Polar |
collection |
Copernicus Publications: E-Journals |
op_collection_id |
ftcopernicus |
language |
English |
description |
In this paper we introduce a parameter for the retrieval of the thickness of undeformed first-year sea ice that is specifically adapted to compact polarimetric (CP) synthetic aperture radar (SAR) images. The parameter is denoted as the "CP ratio". In model simulations we investigated the sensitivity of the CP ratio to the dielectric constant, ice thickness, ice surface roughness, and radar incidence angle. From the results of the simulations we deduced optimal sea ice conditions and radar incidence angles for the ice thickness retrieval. C-band SAR data acquired over the Labrador Sea in circular transmit and linear receive (CTLR) mode were generated from RADARSAT-2 quad-polarization images. In comparison with results from helicopter-borne measurements, we tested different empirical equations for the retrieval of ice thickness. An exponential fit between the CP ratio and ice thickness provides the most reliable results. Based on a validation using other compact polarimetric SAR images from the same region, we found a root mean square (rms) error of 8 cm and a maximum correlation coefficient of 0.94 for the retrieval procedure when applying it to level ice between 0.1 and 0.8 m thick. |
format |
Text |
author |
Zhang, Xi Dierking, Wolfgang Zhang, Jie Meng, Junmin Lang, Haitao |
spellingShingle |
Zhang, Xi Dierking, Wolfgang Zhang, Jie Meng, Junmin Lang, Haitao Retrieval of the thickness of undeformed sea ice from simulated C-band compact polarimetric SAR images |
author_facet |
Zhang, Xi Dierking, Wolfgang Zhang, Jie Meng, Junmin Lang, Haitao |
author_sort |
Zhang, Xi |
title |
Retrieval of the thickness of undeformed sea ice from simulated C-band compact polarimetric SAR images |
title_short |
Retrieval of the thickness of undeformed sea ice from simulated C-band compact polarimetric SAR images |
title_full |
Retrieval of the thickness of undeformed sea ice from simulated C-band compact polarimetric SAR images |
title_fullStr |
Retrieval of the thickness of undeformed sea ice from simulated C-band compact polarimetric SAR images |
title_full_unstemmed |
Retrieval of the thickness of undeformed sea ice from simulated C-band compact polarimetric SAR images |
title_sort |
retrieval of the thickness of undeformed sea ice from simulated c-band compact polarimetric sar images |
publishDate |
2018 |
url |
https://doi.org/10.5194/tc-10-1529-2016 https://tc.copernicus.org/articles/10/1529/2016/ |
genre |
Labrador Sea Sea ice |
genre_facet |
Labrador Sea Sea ice |
op_source |
eISSN: 1994-0424 |
op_relation |
doi:10.5194/tc-10-1529-2016 https://tc.copernicus.org/articles/10/1529/2016/ |
op_doi |
https://doi.org/10.5194/tc-10-1529-2016 |
container_title |
The Cryosphere |
container_volume |
10 |
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4 |
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1529 |
op_container_end_page |
1545 |
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1766061175236198400 |