Resolving and Analyzing Landfast Ice Deformation by InSAR Technology Combined with Sentinel-1A Ascending and Descending Orbits Data

Detailed mapping of landfast ice deformation can be used to characterize the rheological behavior of landfast ice effectively and to improve sea ice modeling subsequently. In order to analyze the characteristics, trends and causes of deformation comprehensively and accurately, the Sentinel-1A ascend...

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Published in:Sensors
Main Authors: Wang, Zhiyong, Liu, Jian, Wang, Jinning, Wang, Lihua, Luo, Meng, Wang, Zihao, Ni, Ping, Li, Hao
Format: Text
Language:English
Published: MDPI 2020
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698433/
http://www.ncbi.nlm.nih.gov/pubmed/33212883
https://doi.org/10.3390/s20226561
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spelling ftpubmed:oai:pubmedcentral.nih.gov:7698433 2023-05-15T18:18:33+02:00 Resolving and Analyzing Landfast Ice Deformation by InSAR Technology Combined with Sentinel-1A Ascending and Descending Orbits Data Wang, Zhiyong Liu, Jian Wang, Jinning Wang, Lihua Luo, Meng Wang, Zihao Ni, Ping Li, Hao 2020-11-17 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698433/ http://www.ncbi.nlm.nih.gov/pubmed/33212883 https://doi.org/10.3390/s20226561 en eng MDPI http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698433/ http://www.ncbi.nlm.nih.gov/pubmed/33212883 http://dx.doi.org/10.3390/s20226561 © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). CC-BY Sensors (Basel) Article Text 2020 ftpubmed https://doi.org/10.3390/s20226561 2020-12-06T01:58:18Z Detailed mapping of landfast ice deformation can be used to characterize the rheological behavior of landfast ice effectively and to improve sea ice modeling subsequently. In order to analyze the characteristics, trends and causes of deformation comprehensively and accurately, the Sentinel-1A ascending and descending orbits data were used to detect the horizontal and vertical deformation of the fast ice in the Baltic Sea. Firstly, the fast ice edge lines were acquired through feature extraction with interferometric coherence images and SAR amplitude images. Then, the deformation transformed model was constructed according to the geometric relationship of multi-orbits deformation measurements. Finally, the landfast ice deformations were resolved and the horizontal and vertical deformations were obtained. The results showed that the maximum deformation was—44 cm in horizontal direction and 16 cm in vertical direction within the fast ice region of 960 km(2) during the time from 2 to 16 February 2018. The southwest wind was the principal reason for the deformation, which made the deformation mainly occur in the horizontal direction from east to west. Moreover, the inner fast ice kept stable due to the protection of outer consolidated ice. The results showed that the deformation trend and characteristics can be better understood by using InSAR technology that was combined with multi-orbits SAR data to resolve and analyze the landfast ice deformation. Text Sea ice PubMed Central (PMC) The Sentinel ENVELOPE(73.317,73.317,-52.983,-52.983) Sensors 20 22 6561
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Article
spellingShingle Article
Wang, Zhiyong
Liu, Jian
Wang, Jinning
Wang, Lihua
Luo, Meng
Wang, Zihao
Ni, Ping
Li, Hao
Resolving and Analyzing Landfast Ice Deformation by InSAR Technology Combined with Sentinel-1A Ascending and Descending Orbits Data
topic_facet Article
description Detailed mapping of landfast ice deformation can be used to characterize the rheological behavior of landfast ice effectively and to improve sea ice modeling subsequently. In order to analyze the characteristics, trends and causes of deformation comprehensively and accurately, the Sentinel-1A ascending and descending orbits data were used to detect the horizontal and vertical deformation of the fast ice in the Baltic Sea. Firstly, the fast ice edge lines were acquired through feature extraction with interferometric coherence images and SAR amplitude images. Then, the deformation transformed model was constructed according to the geometric relationship of multi-orbits deformation measurements. Finally, the landfast ice deformations were resolved and the horizontal and vertical deformations were obtained. The results showed that the maximum deformation was—44 cm in horizontal direction and 16 cm in vertical direction within the fast ice region of 960 km(2) during the time from 2 to 16 February 2018. The southwest wind was the principal reason for the deformation, which made the deformation mainly occur in the horizontal direction from east to west. Moreover, the inner fast ice kept stable due to the protection of outer consolidated ice. The results showed that the deformation trend and characteristics can be better understood by using InSAR technology that was combined with multi-orbits SAR data to resolve and analyze the landfast ice deformation.
format Text
author Wang, Zhiyong
Liu, Jian
Wang, Jinning
Wang, Lihua
Luo, Meng
Wang, Zihao
Ni, Ping
Li, Hao
author_facet Wang, Zhiyong
Liu, Jian
Wang, Jinning
Wang, Lihua
Luo, Meng
Wang, Zihao
Ni, Ping
Li, Hao
author_sort Wang, Zhiyong
title Resolving and Analyzing Landfast Ice Deformation by InSAR Technology Combined with Sentinel-1A Ascending and Descending Orbits Data
title_short Resolving and Analyzing Landfast Ice Deformation by InSAR Technology Combined with Sentinel-1A Ascending and Descending Orbits Data
title_full Resolving and Analyzing Landfast Ice Deformation by InSAR Technology Combined with Sentinel-1A Ascending and Descending Orbits Data
title_fullStr Resolving and Analyzing Landfast Ice Deformation by InSAR Technology Combined with Sentinel-1A Ascending and Descending Orbits Data
title_full_unstemmed Resolving and Analyzing Landfast Ice Deformation by InSAR Technology Combined with Sentinel-1A Ascending and Descending Orbits Data
title_sort resolving and analyzing landfast ice deformation by insar technology combined with sentinel-1a ascending and descending orbits data
publisher MDPI
publishDate 2020
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698433/
http://www.ncbi.nlm.nih.gov/pubmed/33212883
https://doi.org/10.3390/s20226561
long_lat ENVELOPE(73.317,73.317,-52.983,-52.983)
geographic The Sentinel
geographic_facet The Sentinel
genre Sea ice
genre_facet Sea ice
op_source Sensors (Basel)
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698433/
http://www.ncbi.nlm.nih.gov/pubmed/33212883
http://dx.doi.org/10.3390/s20226561
op_rights © 2020 by the authors.
Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
op_rightsnorm CC-BY
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