High Resolution Sea Ice Drift Estimation using Combined TerraSAR-X and RADARSAT-2 Data: First Tests

High resolution sea ice drift fields, the location and extend of converging and diverging zones as well as ice ridges are most important parameters for ship navigation in ice infested waters. In this paper, we present the prototype of a new processor which is aimed to derive the surface ice paramete...

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Published in:2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Main Authors: Frost, Anja, Jacobsen, Sven, Singha, Suman
Format: Conference Object
Language:English
Published: IEEE Xplore 2017
Subjects:
Online Access:https://elib.dlr.de/110688/
https://elib.dlr.de/110688/1/FROST_IGARSS_2017.pdf
https://doi.org/10.1109/IGARSS.2017.8126966
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author Frost, Anja
Jacobsen, Sven
Singha, Suman
author_facet Frost, Anja
Jacobsen, Sven
Singha, Suman
author_sort Frost, Anja
collection Unknown
container_start_page 342
container_title 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
description High resolution sea ice drift fields, the location and extend of converging and diverging zones as well as ice ridges are most important parameters for ship navigation in ice infested waters. In this paper, we present the prototype of a new processor which is aimed to derive the surface ice parameters on the basis of pairs of space-borne Synthetic Aperture Radar (SAR) data of the same and of different sensors, i.e. from data of different bands, resolutions, and orbits. The study is carried out on image data collected during a joint campaign with the Office of Naval Research (ONR) in the western Arctic in 2015. The algorithm proposed is foreseen to be integrated into near-real time (NRT) processing chain at DLR ground stations in order to provide time-critical information as soon as possible to users and stakeholders.
format Conference Object
genre Arctic
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genre_facet Arctic
Sea ice
geographic Arctic
geographic_facet Arctic
id ftdlr:oai:elib.dlr.de:110688
institution Open Polar
language English
op_collection_id ftdlr
op_container_end_page 345
op_doi https://doi.org/10.1109/IGARSS.2017.8126966
op_relation https://elib.dlr.de/110688/1/FROST_IGARSS_2017.pdf
Frost, Anja und Jacobsen, Sven und Singha, Suman (2017) High Resolution Sea Ice Drift Estimation using Combined TerraSAR-X and RADARSAT-2 Data: First Tests. In: 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Seiten 342-345. IEEE Xplore. IGARSS 2017, 2017-07-23 - 2017-07-28, Fort Worth, Texas, USA. doi:10.1109/IGARSS.2017.8126966 <https://doi.org/10.1109/IGARSS.2017.8126966>. ISSN 2153-7003.
publishDate 2017
publisher IEEE Xplore
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spelling ftdlr:oai:elib.dlr.de:110688 2025-06-15T14:21:15+00:00 High Resolution Sea Ice Drift Estimation using Combined TerraSAR-X and RADARSAT-2 Data: First Tests Frost, Anja Jacobsen, Sven Singha, Suman 2017-07-24 application/pdf https://elib.dlr.de/110688/ https://elib.dlr.de/110688/1/FROST_IGARSS_2017.pdf https://doi.org/10.1109/IGARSS.2017.8126966 en eng IEEE Xplore https://elib.dlr.de/110688/1/FROST_IGARSS_2017.pdf Frost, Anja und Jacobsen, Sven und Singha, Suman (2017) High Resolution Sea Ice Drift Estimation using Combined TerraSAR-X and RADARSAT-2 Data: First Tests. In: 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Seiten 342-345. IEEE Xplore. IGARSS 2017, 2017-07-23 - 2017-07-28, Fort Worth, Texas, USA. doi:10.1109/IGARSS.2017.8126966 <https://doi.org/10.1109/IGARSS.2017.8126966>. ISSN 2153-7003. SAR-Signalverarbeitung Konferenzbeitrag PeerReviewed 2017 ftdlr https://doi.org/10.1109/IGARSS.2017.8126966 2025-06-04T04:58:11Z High resolution sea ice drift fields, the location and extend of converging and diverging zones as well as ice ridges are most important parameters for ship navigation in ice infested waters. In this paper, we present the prototype of a new processor which is aimed to derive the surface ice parameters on the basis of pairs of space-borne Synthetic Aperture Radar (SAR) data of the same and of different sensors, i.e. from data of different bands, resolutions, and orbits. The study is carried out on image data collected during a joint campaign with the Office of Naval Research (ONR) in the western Arctic in 2015. The algorithm proposed is foreseen to be integrated into near-real time (NRT) processing chain at DLR ground stations in order to provide time-critical information as soon as possible to users and stakeholders. Conference Object Arctic Sea ice Unknown Arctic 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 342 345
spellingShingle SAR-Signalverarbeitung
Frost, Anja
Jacobsen, Sven
Singha, Suman
High Resolution Sea Ice Drift Estimation using Combined TerraSAR-X and RADARSAT-2 Data: First Tests
title High Resolution Sea Ice Drift Estimation using Combined TerraSAR-X and RADARSAT-2 Data: First Tests
title_full High Resolution Sea Ice Drift Estimation using Combined TerraSAR-X and RADARSAT-2 Data: First Tests
title_fullStr High Resolution Sea Ice Drift Estimation using Combined TerraSAR-X and RADARSAT-2 Data: First Tests
title_full_unstemmed High Resolution Sea Ice Drift Estimation using Combined TerraSAR-X and RADARSAT-2 Data: First Tests
title_short High Resolution Sea Ice Drift Estimation using Combined TerraSAR-X and RADARSAT-2 Data: First Tests
title_sort high resolution sea ice drift estimation using combined terrasar-x and radarsat-2 data: first tests
topic SAR-Signalverarbeitung
topic_facet SAR-Signalverarbeitung
url https://elib.dlr.de/110688/
https://elib.dlr.de/110688/1/FROST_IGARSS_2017.pdf
https://doi.org/10.1109/IGARSS.2017.8126966