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...
Published in: | The Cryosphere |
---|---|
Main Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications
2016
|
Subjects: | |
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 |
id |
fttriple:oai:gotriple.eu:oai:doaj.org/article:7444d9520b8340b6b51f9c46b915196d |
---|---|
record_format |
openpolar |
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 |
_version_ |
1766061176316231680 |