An analysis of the reliability of sea ice drift products calculated from SAR data

The motion of sea ice is not only of interest for ships navigating arctic or antarctic waters, but is also important for analyses of parameters describing the interaction between ocean, sea ice and atmosphere, such as heat exchange or salinity transport. Sea ice drift can be estimated from a sequenc...

Full description

Bibliographic Details
Main Authors: Linow, Stefanie, Hollands, Thomas, Dierking, Wolfgang
Format: Conference Object
Language:unknown
Published: 2013
Subjects:
Online Access:https://epic.awi.de/id/eprint/34186/
https://hdl.handle.net/10013/epic.42488
id ftawi:oai:epic.awi.de:34186
record_format openpolar
spelling ftawi:oai:epic.awi.de:34186 2024-09-15T17:42:59+00:00 An analysis of the reliability of sea ice drift products calculated from SAR data Linow, Stefanie Hollands, Thomas Dierking, Wolfgang 2013-09-12 https://epic.awi.de/id/eprint/34186/ https://hdl.handle.net/10013/epic.42488 unknown Linow, S. , Hollands, T. orcid:0000-0003-0824-4037 and Dierking, W. orcid:0000-0002-5031-648X (2013) An analysis of the reliability of sea ice drift products calculated from SAR data , ESA Living Planet Symposion 2013, Edinburgh, 9 September 2013 - 13 September 2013 . hdl:10013/epic.42488 EPIC3ESA Living Planet Symposion 2013, Edinburgh, 2013-09-09-2013-09-13 Conference notRev 2013 ftawi 2024-06-24T04:08:32Z The motion of sea ice is not only of interest for ships navigating arctic or antarctic waters, but is also important for analyses of parameters describing the interaction between ocean, sea ice and atmosphere, such as heat exchange or salinity transport. Sea ice drift can be estimated from a sequence of satellite images at different spatial scales and with different temporal separation. We determine sea ice motion using a pattern-based multi-scale cascaded motion tracking approach. High-resolution SAR data, specifically Envisat and RS2 images, are analyzed for the purpose of algorithm testing and development. Our present work focuses on the reliability of the drift product and on other parameters that can be derived from the velocity tracking, such as sea ice deformation. Due to the scarcity of in-situ ice measurements of ice drift, it is a challenging task to validate the derived displacement field. Without using external data, the reliability of the result can be estimated using a consistency check called backmatching, but this is computationally very expensive. Another approach estimates a set of parameters for image pattern quality that can be directly calculated during algorithm runtime. This method significantly reduces the computational load of our drift field reliability estimate. In our presentation, we will describe a detailed error analysis of sea ice displacement maps generated from SAR data. A method to estimate the accuracy of displacement vectors using statistical methods and texture analysis will be introduced. In this way, we can assess the reliability of the ice drift maps even when there is no reference data available. Furthermore, we will evaluate the possibility to combine SAR data of different polarizations to improve the quality of the resulting drift maps and analyze sea ice deformation parameters obtained from the calculated displacement field. Conference Object Antarc* Antarctic Sea ice Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
institution Open Polar
collection Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
op_collection_id ftawi
language unknown
description The motion of sea ice is not only of interest for ships navigating arctic or antarctic waters, but is also important for analyses of parameters describing the interaction between ocean, sea ice and atmosphere, such as heat exchange or salinity transport. Sea ice drift can be estimated from a sequence of satellite images at different spatial scales and with different temporal separation. We determine sea ice motion using a pattern-based multi-scale cascaded motion tracking approach. High-resolution SAR data, specifically Envisat and RS2 images, are analyzed for the purpose of algorithm testing and development. Our present work focuses on the reliability of the drift product and on other parameters that can be derived from the velocity tracking, such as sea ice deformation. Due to the scarcity of in-situ ice measurements of ice drift, it is a challenging task to validate the derived displacement field. Without using external data, the reliability of the result can be estimated using a consistency check called backmatching, but this is computationally very expensive. Another approach estimates a set of parameters for image pattern quality that can be directly calculated during algorithm runtime. This method significantly reduces the computational load of our drift field reliability estimate. In our presentation, we will describe a detailed error analysis of sea ice displacement maps generated from SAR data. A method to estimate the accuracy of displacement vectors using statistical methods and texture analysis will be introduced. In this way, we can assess the reliability of the ice drift maps even when there is no reference data available. Furthermore, we will evaluate the possibility to combine SAR data of different polarizations to improve the quality of the resulting drift maps and analyze sea ice deformation parameters obtained from the calculated displacement field.
format Conference Object
author Linow, Stefanie
Hollands, Thomas
Dierking, Wolfgang
spellingShingle Linow, Stefanie
Hollands, Thomas
Dierking, Wolfgang
An analysis of the reliability of sea ice drift products calculated from SAR data
author_facet Linow, Stefanie
Hollands, Thomas
Dierking, Wolfgang
author_sort Linow, Stefanie
title An analysis of the reliability of sea ice drift products calculated from SAR data
title_short An analysis of the reliability of sea ice drift products calculated from SAR data
title_full An analysis of the reliability of sea ice drift products calculated from SAR data
title_fullStr An analysis of the reliability of sea ice drift products calculated from SAR data
title_full_unstemmed An analysis of the reliability of sea ice drift products calculated from SAR data
title_sort analysis of the reliability of sea ice drift products calculated from sar data
publishDate 2013
url https://epic.awi.de/id/eprint/34186/
https://hdl.handle.net/10013/epic.42488
genre Antarc*
Antarctic
Sea ice
genre_facet Antarc*
Antarctic
Sea ice
op_source EPIC3ESA Living Planet Symposion 2013, Edinburgh, 2013-09-09-2013-09-13
op_relation Linow, S. , Hollands, T. orcid:0000-0003-0824-4037 and Dierking, W. orcid:0000-0002-5031-648X (2013) An analysis of the reliability of sea ice drift products calculated from SAR data , ESA Living Planet Symposion 2013, Edinburgh, 9 September 2013 - 13 September 2013 . hdl:10013/epic.42488
_version_ 1810489802586324992