Thin ice dynamics in the Storfjorden polynya (Svalbard) by means of digital image analysis of SAR data

Thin-ice thickness (TIT) in recurrent polynyas is an important parameter for calculating ice production and for modelling the production of Brine-enriched Shelf Water (BSW). As operations at high latitudes are hazardous and expensive, remote sensing has become an indispensable tool for this purpose....

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Main Author: Glaw, Lukas
Format: Thesis
Language:unknown
Published: 2014
Subjects:
Online Access:https://oceanrep.geomar.de/id/eprint/26973/
id ftoceanrep:oai:oceanrep.geomar.de:26973
record_format openpolar
spelling ftoceanrep:oai:oceanrep.geomar.de:26973 2023-05-15T18:18:36+02:00 Thin ice dynamics in the Storfjorden polynya (Svalbard) by means of digital image analysis of SAR data Glaw, Lukas 2014 https://oceanrep.geomar.de/id/eprint/26973/ unknown Glaw, L. (2014) Thin ice dynamics in the Storfjorden polynya (Svalbard) by means of digital image analysis of SAR data. (Bachelor thesis), Universität Trier, Trier, 59 pp. Thesis NonPeerReviewed 2014 ftoceanrep 2023-04-07T15:16:51Z Thin-ice thickness (TIT) in recurrent polynyas is an important parameter for calculating ice production and for modelling the production of Brine-enriched Shelf Water (BSW). As operations at high latitudes are hazardous and expensive, remote sensing has become an indispensable tool for this purpose. Previous studies have been successful in estimating ice production based on a combination of remote sensing data and different models, but none used the advantage of high-resolution Synthetic Aperture Radar (SAR) to determine ice thicknesses. The present thesis focuses on the Storfjorden polynya (Svalbard), a relatively small region with a high impact on the global thermohaline circulation. The dependency of SAR backscatter and texture parameters derived from backscatter on thin-ice thickness is tested by correlating SAR based parameters with TIT distribution maps which were generated on the basis of MODIS ice surface temperatures. The effects of speckle and different ice properties (dielectrical constant and surface roughness) on the processing were evaluated. Based on the correlation from 86 SAR scenes from the Environmental Satellite (ENVISAT), acquired between 2007 and 2012, and MODIS TIT distribution it can be concluded that parameters directly derived from SAR backscatter are inapplicable to derive ice thickness. Consequently it was not possible to calculate the ice production in the Storfjorden polynya. The main reasons that cause the not existing relationship between TIT and SAR derived parameters are the physical properties of sea ice, which cause an ambiguity in the SAR signal. Thesis Sea ice Storfjorden Svalbard OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) Svalbard
institution Open Polar
collection OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel)
op_collection_id ftoceanrep
language unknown
description Thin-ice thickness (TIT) in recurrent polynyas is an important parameter for calculating ice production and for modelling the production of Brine-enriched Shelf Water (BSW). As operations at high latitudes are hazardous and expensive, remote sensing has become an indispensable tool for this purpose. Previous studies have been successful in estimating ice production based on a combination of remote sensing data and different models, but none used the advantage of high-resolution Synthetic Aperture Radar (SAR) to determine ice thicknesses. The present thesis focuses on the Storfjorden polynya (Svalbard), a relatively small region with a high impact on the global thermohaline circulation. The dependency of SAR backscatter and texture parameters derived from backscatter on thin-ice thickness is tested by correlating SAR based parameters with TIT distribution maps which were generated on the basis of MODIS ice surface temperatures. The effects of speckle and different ice properties (dielectrical constant and surface roughness) on the processing were evaluated. Based on the correlation from 86 SAR scenes from the Environmental Satellite (ENVISAT), acquired between 2007 and 2012, and MODIS TIT distribution it can be concluded that parameters directly derived from SAR backscatter are inapplicable to derive ice thickness. Consequently it was not possible to calculate the ice production in the Storfjorden polynya. The main reasons that cause the not existing relationship between TIT and SAR derived parameters are the physical properties of sea ice, which cause an ambiguity in the SAR signal.
format Thesis
author Glaw, Lukas
spellingShingle Glaw, Lukas
Thin ice dynamics in the Storfjorden polynya (Svalbard) by means of digital image analysis of SAR data
author_facet Glaw, Lukas
author_sort Glaw, Lukas
title Thin ice dynamics in the Storfjorden polynya (Svalbard) by means of digital image analysis of SAR data
title_short Thin ice dynamics in the Storfjorden polynya (Svalbard) by means of digital image analysis of SAR data
title_full Thin ice dynamics in the Storfjorden polynya (Svalbard) by means of digital image analysis of SAR data
title_fullStr Thin ice dynamics in the Storfjorden polynya (Svalbard) by means of digital image analysis of SAR data
title_full_unstemmed Thin ice dynamics in the Storfjorden polynya (Svalbard) by means of digital image analysis of SAR data
title_sort thin ice dynamics in the storfjorden polynya (svalbard) by means of digital image analysis of sar data
publishDate 2014
url https://oceanrep.geomar.de/id/eprint/26973/
geographic Svalbard
geographic_facet Svalbard
genre Sea ice
Storfjorden
Svalbard
genre_facet Sea ice
Storfjorden
Svalbard
op_relation Glaw, L. (2014) Thin ice dynamics in the Storfjorden polynya (Svalbard) by means of digital image analysis of SAR data. (Bachelor thesis), Universität Trier, Trier, 59 pp.
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