Sea Ice Remote Sensing Using GNSS-R: A Review

Knowledge of sea ice is critical for offshore oil and gas exploration, global shipping industries, and climate change studies. During recent decades, Global Navigation Satellite System-Reflectometry (GNSS-R) has evolved as an efficient tool for sea ice remote sensing. In particular, thanks to the av...

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Published in:Remote Sensing
Main Authors: Qingyun Yan, Weimin Huang
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2019
Subjects:
Q
Online Access:https://doi.org/10.3390/rs11212565
https://doaj.org/article/41d29023ea6549b082bde2b8138c173f
id ftdoajarticles:oai:doaj.org/article:41d29023ea6549b082bde2b8138c173f
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spelling ftdoajarticles:oai:doaj.org/article:41d29023ea6549b082bde2b8138c173f 2023-05-15T18:16:04+02:00 Sea Ice Remote Sensing Using GNSS-R: A Review Qingyun Yan Weimin Huang 2019-11-01T00:00:00Z https://doi.org/10.3390/rs11212565 https://doaj.org/article/41d29023ea6549b082bde2b8138c173f EN eng MDPI AG https://www.mdpi.com/2072-4292/11/21/2565 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs11212565 https://doaj.org/article/41d29023ea6549b082bde2b8138c173f Remote Sensing, Vol 11, Iss 21, p 2565 (2019) global navigation satellite system-reflectometry (gnss-r) sea ice remote sensing techdemosat-1 (tds-1) Science Q article 2019 ftdoajarticles https://doi.org/10.3390/rs11212565 2022-12-31T16:11:09Z Knowledge of sea ice is critical for offshore oil and gas exploration, global shipping industries, and climate change studies. During recent decades, Global Navigation Satellite System-Reflectometry (GNSS-R) has evolved as an efficient tool for sea ice remote sensing. In particular, thanks to the availability of the TechDemoSat-1 (TDS-1) data over high-latitude regions, remote sensing of sea ice based on spaceborne GNSS-R has been rapidly growing. The goal of this paper is to provide a review of the state-of-the-art methods for sea ice remote sensing offered by the GNSS-R technique. In this review, the fundamentals of these applications are described, and their performances are evaluated. Specifically, recent progress in sea ice sensing using TDS-1 data is highlighted including sea ice detection, sea ice concentration estimation, sea ice type classification, sea ice thickness retrieval, and sea ice altimetry. In addition, studies of sea ice sensing using airborne and ground-based data are also noted. Lastly, applications based on various platforms along with remaining challenges are summarized and possible future trends are explored. In this review, concepts, research methods, and experimental techniques of GNSS-R-based sea ice sensing are delivered, and this can benefit the scientific community by providing insights into this topic to further advance this field or transfer the relevant knowledge and practice to other studies. Article in Journal/Newspaper Sea ice Directory of Open Access Journals: DOAJ Articles Remote Sensing 11 21 2565
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic global navigation satellite system-reflectometry (gnss-r)
sea ice remote sensing
techdemosat-1 (tds-1)
Science
Q
spellingShingle global navigation satellite system-reflectometry (gnss-r)
sea ice remote sensing
techdemosat-1 (tds-1)
Science
Q
Qingyun Yan
Weimin Huang
Sea Ice Remote Sensing Using GNSS-R: A Review
topic_facet global navigation satellite system-reflectometry (gnss-r)
sea ice remote sensing
techdemosat-1 (tds-1)
Science
Q
description Knowledge of sea ice is critical for offshore oil and gas exploration, global shipping industries, and climate change studies. During recent decades, Global Navigation Satellite System-Reflectometry (GNSS-R) has evolved as an efficient tool for sea ice remote sensing. In particular, thanks to the availability of the TechDemoSat-1 (TDS-1) data over high-latitude regions, remote sensing of sea ice based on spaceborne GNSS-R has been rapidly growing. The goal of this paper is to provide a review of the state-of-the-art methods for sea ice remote sensing offered by the GNSS-R technique. In this review, the fundamentals of these applications are described, and their performances are evaluated. Specifically, recent progress in sea ice sensing using TDS-1 data is highlighted including sea ice detection, sea ice concentration estimation, sea ice type classification, sea ice thickness retrieval, and sea ice altimetry. In addition, studies of sea ice sensing using airborne and ground-based data are also noted. Lastly, applications based on various platforms along with remaining challenges are summarized and possible future trends are explored. In this review, concepts, research methods, and experimental techniques of GNSS-R-based sea ice sensing are delivered, and this can benefit the scientific community by providing insights into this topic to further advance this field or transfer the relevant knowledge and practice to other studies.
format Article in Journal/Newspaper
author Qingyun Yan
Weimin Huang
author_facet Qingyun Yan
Weimin Huang
author_sort Qingyun Yan
title Sea Ice Remote Sensing Using GNSS-R: A Review
title_short Sea Ice Remote Sensing Using GNSS-R: A Review
title_full Sea Ice Remote Sensing Using GNSS-R: A Review
title_fullStr Sea Ice Remote Sensing Using GNSS-R: A Review
title_full_unstemmed Sea Ice Remote Sensing Using GNSS-R: A Review
title_sort sea ice remote sensing using gnss-r: a review
publisher MDPI AG
publishDate 2019
url https://doi.org/10.3390/rs11212565
https://doaj.org/article/41d29023ea6549b082bde2b8138c173f
genre Sea ice
genre_facet Sea ice
op_source Remote Sensing, Vol 11, Iss 21, p 2565 (2019)
op_relation https://www.mdpi.com/2072-4292/11/21/2565
https://doaj.org/toc/2072-4292
2072-4292
doi:10.3390/rs11212565
https://doaj.org/article/41d29023ea6549b082bde2b8138c173f
op_doi https://doi.org/10.3390/rs11212565
container_title Remote Sensing
container_volume 11
container_issue 21
container_start_page 2565
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