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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Bibliographic Details
Published in:The Cryosphere
Main Authors: X. Zhang, W. Dierking, J. Zhang, J. Meng, H. Lang
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2016
Subjects:
geo
Online Access:https://doi.org/10.5194/tc-10-1529-2016
http://www.the-cryosphere.net/10/1529/2016/tc-10-1529-2016.pdf
https://doaj.org/article/7444d9520b8340b6b51f9c46b915196d
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spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:7444d9520b8340b6b51f9c46b915196d 2023-05-15T17:06:10+02:00 Retrieval of the thickness of undeformed sea ice from simulated C-band compact polarimetric SAR images X. Zhang W. Dierking J. Zhang J. Meng H. Lang 2016-07-01 https://doi.org/10.5194/tc-10-1529-2016 http://www.the-cryosphere.net/10/1529/2016/tc-10-1529-2016.pdf https://doaj.org/article/7444d9520b8340b6b51f9c46b915196d en eng Copernicus Publications 1994-0416 1994-0424 doi:10.5194/tc-10-1529-2016 http://www.the-cryosphere.net/10/1529/2016/tc-10-1529-2016.pdf https://doaj.org/article/7444d9520b8340b6b51f9c46b915196d undefined The Cryosphere, Vol 10, Iss 4, Pp 1529-1545 (2016) info geo Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2016 fttriple https://doi.org/10.5194/tc-10-1529-2016 2023-01-22T19:24:34Z 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. Article in Journal/Newspaper Labrador Sea Sea ice The Cryosphere Unknown The Cryosphere 10 4 1529 1545
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic info
geo
spellingShingle info
geo
X. Zhang
W. Dierking
J. Zhang
J. Meng
H. Lang
Retrieval of the thickness of undeformed sea ice from simulated C-band compact polarimetric SAR images
topic_facet info
geo
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 Article in Journal/Newspaper
author X. Zhang
W. Dierking
J. Zhang
J. Meng
H. Lang
author_facet X. Zhang
W. Dierking
J. Zhang
J. Meng
H. Lang
author_sort X. Zhang
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
publisher Copernicus Publications
publishDate 2016
url https://doi.org/10.5194/tc-10-1529-2016
http://www.the-cryosphere.net/10/1529/2016/tc-10-1529-2016.pdf
https://doaj.org/article/7444d9520b8340b6b51f9c46b915196d
genre Labrador Sea
Sea ice
The Cryosphere
genre_facet Labrador Sea
Sea ice
The Cryosphere
op_source The Cryosphere, Vol 10, Iss 4, Pp 1529-1545 (2016)
op_relation 1994-0416
1994-0424
doi:10.5194/tc-10-1529-2016
http://www.the-cryosphere.net/10/1529/2016/tc-10-1529-2016.pdf
https://doaj.org/article/7444d9520b8340b6b51f9c46b915196d
op_rights undefined
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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