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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Published in:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors: Benjamin J. Southwell, Andrew G. Dempster
Format: Article in Journal/Newspaper
Language:English
Published: IEEE 2020
Subjects:
Online Access:https://doi.org/10.1109/JSTARS.2019.2943510
https://doaj.org/article/29048414ec364306ac190e157dd3a3ca
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spelling 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
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