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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Published in:The Cryosphere
Main Authors: Zhang, Xi, Dierking, Wolfgang, Zhang, Jie, Meng, Junmin, Lang, Haitao
Format: Text
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/tc-10-1529-2016
https://tc.copernicus.org/articles/10/1529/2016/
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spelling 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
container_issue 4
container_start_page 1529
op_container_end_page 1545
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