Sea Ice Transition Detection Using Incoherent Integration and Deconvolution
Currently, reflectometry-based sea ice detection methods rely on observables extracted from delay-Doppler maps (DDM)s, which are sensitive to ice in the specular zone. Due to the size of the glistening zone, the transition from open seas to sea ice in the specular zone can take up to 10 s for satell...
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ftdoajarticles:oai:doaj.org/article:29048414ec364306ac190e157dd3a3ca 2023-05-15T16:41:13+02:00 Sea Ice Transition Detection Using Incoherent Integration and Deconvolution Benjamin J. Southwell Andrew G. Dempster 2020-01-01T00:00:00Z https://doi.org/10.1109/JSTARS.2019.2943510 https://doaj.org/article/29048414ec364306ac190e157dd3a3ca EN eng IEEE https://ieeexplore.ieee.org/document/8865623/ https://doaj.org/toc/2151-1535 2151-1535 doi:10.1109/JSTARS.2019.2943510 https://doaj.org/article/29048414ec364306ac190e157dd3a3ca IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 14-20 (2020) GNSS-R reflectometry sea ice transition ice detection Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 article 2020 ftdoajarticles https://doi.org/10.1109/JSTARS.2019.2943510 2022-12-31T11:33:05Z Currently, reflectometry-based sea ice detection methods rely on observables extracted from delay-Doppler maps (DDM)s, which are sensitive to ice in the specular zone. Due to the size of the glistening zone, the transition from open seas to sea ice in the specular zone can take up to 10 s for satellite platforms and no methods exist that can process this. In this article, using DDMs collected by TechDemoSat-1, we demonstrate that this transition is comprised of a response that is fixed in the spatial domain, at the ice edge, and moving in the delay-Doppler domain. This is the first observation of persistent nonspecular coherent reflections from sea ice. The delay-Doppler trajectory of the ice response is shown to correspond with a point that is located on the ambiguity free line. Furthermore, the response is point-like as it suffers from delay and Doppler walk suggesting that it originates from a small spatial footprint, i.e., the first (few) Fresnel zone(s). Exploiting these facts, we then propose a technique that integrates the ice response in the spatial domain after preprocessing. This results in the edges of the ice sheet being emphasized as all of the power received during the transition phase maps to the edge of the sheet. We also propose to compensate for the delay-Doppler walk during preprocessing by modifying Woodward's ambiguity function when deconvolution is performed. Article in Journal/Newspaper Ice Sheet Sea ice Directory of Open Access Journals: DOAJ Articles IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13 14 20 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
GNSS-R reflectometry sea ice transition ice detection Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 |
spellingShingle |
GNSS-R reflectometry sea ice transition ice detection Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 Benjamin J. Southwell Andrew G. Dempster Sea Ice Transition Detection Using Incoherent Integration and Deconvolution |
topic_facet |
GNSS-R reflectometry sea ice transition ice detection Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 |
description |
Currently, reflectometry-based sea ice detection methods rely on observables extracted from delay-Doppler maps (DDM)s, which are sensitive to ice in the specular zone. Due to the size of the glistening zone, the transition from open seas to sea ice in the specular zone can take up to 10 s for satellite platforms and no methods exist that can process this. In this article, using DDMs collected by TechDemoSat-1, we demonstrate that this transition is comprised of a response that is fixed in the spatial domain, at the ice edge, and moving in the delay-Doppler domain. This is the first observation of persistent nonspecular coherent reflections from sea ice. The delay-Doppler trajectory of the ice response is shown to correspond with a point that is located on the ambiguity free line. Furthermore, the response is point-like as it suffers from delay and Doppler walk suggesting that it originates from a small spatial footprint, i.e., the first (few) Fresnel zone(s). Exploiting these facts, we then propose a technique that integrates the ice response in the spatial domain after preprocessing. This results in the edges of the ice sheet being emphasized as all of the power received during the transition phase maps to the edge of the sheet. We also propose to compensate for the delay-Doppler walk during preprocessing by modifying Woodward's ambiguity function when deconvolution is performed. |
format |
Article in Journal/Newspaper |
author |
Benjamin J. Southwell Andrew G. Dempster |
author_facet |
Benjamin J. Southwell Andrew G. Dempster |
author_sort |
Benjamin J. Southwell |
title |
Sea Ice Transition Detection Using Incoherent Integration and Deconvolution |
title_short |
Sea Ice Transition Detection Using Incoherent Integration and Deconvolution |
title_full |
Sea Ice Transition Detection Using Incoherent Integration and Deconvolution |
title_fullStr |
Sea Ice Transition Detection Using Incoherent Integration and Deconvolution |
title_full_unstemmed |
Sea Ice Transition Detection Using Incoherent Integration and Deconvolution |
title_sort |
sea ice transition detection using incoherent integration and deconvolution |
publisher |
IEEE |
publishDate |
2020 |
url |
https://doi.org/10.1109/JSTARS.2019.2943510 https://doaj.org/article/29048414ec364306ac190e157dd3a3ca |
genre |
Ice Sheet Sea ice |
genre_facet |
Ice Sheet Sea ice |
op_source |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 14-20 (2020) |
op_relation |
https://ieeexplore.ieee.org/document/8865623/ https://doaj.org/toc/2151-1535 2151-1535 doi:10.1109/JSTARS.2019.2943510 https://doaj.org/article/29048414ec364306ac190e157dd3a3ca |
op_doi |
https://doi.org/10.1109/JSTARS.2019.2943510 |
container_title |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
container_volume |
13 |
container_start_page |
14 |
op_container_end_page |
20 |
_version_ |
1766031646678581248 |