Interannual Variation of Landfast Ice Using Ascending and Descending Sentinel-1 Images from 2019 to 2021: A Case Study of Cambridge Bay

Landfast ice has undergone a dramatic decline in recent decades, imposing potential effects on ice travel for coastal populations, habitats for marine biota, and ice use for industries. The mapping of landfast ice deformation and the investigation of corresponding causes of changes are urgent tasks...

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Published in:Remote Sensing
Main Authors: Yikai Zhu, Chunxia Zhou, Dongyu Zhu, Tao Wang, Tengfei Zhang
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2023
Subjects:
Q
Online Access:https://doi.org/10.3390/rs15051296
https://doaj.org/article/68c186562ae24a7baef01c382595394a
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spelling ftdoajarticles:oai:doaj.org/article:68c186562ae24a7baef01c382595394a 2023-05-15T15:11:52+02:00 Interannual Variation of Landfast Ice Using Ascending and Descending Sentinel-1 Images from 2019 to 2021: A Case Study of Cambridge Bay Yikai Zhu Chunxia Zhou Dongyu Zhu Tao Wang Tengfei Zhang 2023-02-01T00:00:00Z https://doi.org/10.3390/rs15051296 https://doaj.org/article/68c186562ae24a7baef01c382595394a EN eng MDPI AG https://www.mdpi.com/2072-4292/15/5/1296 https://doaj.org/toc/2072-4292 doi:10.3390/rs15051296 2072-4292 https://doaj.org/article/68c186562ae24a7baef01c382595394a Remote Sensing, Vol 15, Iss 1296, p 1296 (2023) landfast ice 2D deformation SBAS-InSAR interannual variation Science Q article 2023 ftdoajarticles https://doi.org/10.3390/rs15051296 2023-03-12T01:28:58Z Landfast ice has undergone a dramatic decline in recent decades, imposing potential effects on ice travel for coastal populations, habitats for marine biota, and ice use for industries. The mapping of landfast ice deformation and the investigation of corresponding causes of changes are urgent tasks that can provide substantial data to support the maintenance of the stability of the Arctic ecosystem and the development of human activities on ice. This work aims to investigate the time-series deformation characteristics of landfast ice at multi-year scales and the corresponding influence factors. For the landfast ice deformation monitoring technique, we first combined the small baseline subset approach with ascending and descending Sentinel-1 images to obtain the line-of-sight deformations for two flight directions, and then we derived the 2D deformation fields comprising the vertical and horizontal directions for the corresponding periods by introducing a transform model. The vertical deformation results were mostly within the interval [−65, 23] cm, while the horizontal displacement was largely within the range of [−26, 78] cm. Moreover, the magnitude of deformation observed in 2019 was evidently greater than those in 2020 and 2021. In accordance with the available data, we speculate that the westerly wind and eastward-flowing ocean currents are the dominant reasons for the variation in the horizontal direction in Cambridge Bay, while the factors causing spatial differences in the vertical direction are the sea-level tilt and ice growth. For the interannual variation, the leading cause is the difference in sea-level tilt. These results can assist in predicting the future deformation of landfast ice and provide a reference for on-ice activities. Article in Journal/Newspaper Arctic Cambridge Bay Directory of Open Access Journals: DOAJ Articles Arctic Cambridge Bay ENVELOPE(-105.130,-105.130,69.037,69.037) Remote Sensing 15 5 1296
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic landfast ice
2D deformation
SBAS-InSAR
interannual variation
Science
Q
spellingShingle landfast ice
2D deformation
SBAS-InSAR
interannual variation
Science
Q
Yikai Zhu
Chunxia Zhou
Dongyu Zhu
Tao Wang
Tengfei Zhang
Interannual Variation of Landfast Ice Using Ascending and Descending Sentinel-1 Images from 2019 to 2021: A Case Study of Cambridge Bay
topic_facet landfast ice
2D deformation
SBAS-InSAR
interannual variation
Science
Q
description Landfast ice has undergone a dramatic decline in recent decades, imposing potential effects on ice travel for coastal populations, habitats for marine biota, and ice use for industries. The mapping of landfast ice deformation and the investigation of corresponding causes of changes are urgent tasks that can provide substantial data to support the maintenance of the stability of the Arctic ecosystem and the development of human activities on ice. This work aims to investigate the time-series deformation characteristics of landfast ice at multi-year scales and the corresponding influence factors. For the landfast ice deformation monitoring technique, we first combined the small baseline subset approach with ascending and descending Sentinel-1 images to obtain the line-of-sight deformations for two flight directions, and then we derived the 2D deformation fields comprising the vertical and horizontal directions for the corresponding periods by introducing a transform model. The vertical deformation results were mostly within the interval [−65, 23] cm, while the horizontal displacement was largely within the range of [−26, 78] cm. Moreover, the magnitude of deformation observed in 2019 was evidently greater than those in 2020 and 2021. In accordance with the available data, we speculate that the westerly wind and eastward-flowing ocean currents are the dominant reasons for the variation in the horizontal direction in Cambridge Bay, while the factors causing spatial differences in the vertical direction are the sea-level tilt and ice growth. For the interannual variation, the leading cause is the difference in sea-level tilt. These results can assist in predicting the future deformation of landfast ice and provide a reference for on-ice activities.
format Article in Journal/Newspaper
author Yikai Zhu
Chunxia Zhou
Dongyu Zhu
Tao Wang
Tengfei Zhang
author_facet Yikai Zhu
Chunxia Zhou
Dongyu Zhu
Tao Wang
Tengfei Zhang
author_sort Yikai Zhu
title Interannual Variation of Landfast Ice Using Ascending and Descending Sentinel-1 Images from 2019 to 2021: A Case Study of Cambridge Bay
title_short Interannual Variation of Landfast Ice Using Ascending and Descending Sentinel-1 Images from 2019 to 2021: A Case Study of Cambridge Bay
title_full Interannual Variation of Landfast Ice Using Ascending and Descending Sentinel-1 Images from 2019 to 2021: A Case Study of Cambridge Bay
title_fullStr Interannual Variation of Landfast Ice Using Ascending and Descending Sentinel-1 Images from 2019 to 2021: A Case Study of Cambridge Bay
title_full_unstemmed Interannual Variation of Landfast Ice Using Ascending and Descending Sentinel-1 Images from 2019 to 2021: A Case Study of Cambridge Bay
title_sort interannual variation of landfast ice using ascending and descending sentinel-1 images from 2019 to 2021: a case study of cambridge bay
publisher MDPI AG
publishDate 2023
url https://doi.org/10.3390/rs15051296
https://doaj.org/article/68c186562ae24a7baef01c382595394a
long_lat ENVELOPE(-105.130,-105.130,69.037,69.037)
geographic Arctic
Cambridge Bay
geographic_facet Arctic
Cambridge Bay
genre Arctic
Cambridge Bay
genre_facet Arctic
Cambridge Bay
op_source Remote Sensing, Vol 15, Iss 1296, p 1296 (2023)
op_relation https://www.mdpi.com/2072-4292/15/5/1296
https://doaj.org/toc/2072-4292
doi:10.3390/rs15051296
2072-4292
https://doaj.org/article/68c186562ae24a7baef01c382595394a
op_doi https://doi.org/10.3390/rs15051296
container_title Remote Sensing
container_volume 15
container_issue 5
container_start_page 1296
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