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...
Published in: | 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) |
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Main Authors: | , , |
Format: | Conference Object |
Language: | English |
Published: |
IEEE Xplore
2017
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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 |
_version_ | 1835011486063263744 |
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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 Sea ice |
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 |
record_format | openpolar |
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 |