Small-Baseline Approach for Monitoring the Freezing and Thawing Deformation of Permafrost on the Beiluhe Basin, Tibetan Plateau Using TerraSAR-X and Sentinel-1 Data

The dynamic changes of the thawing and freezing processes of the active layer cause seasonal subsidence and uplift over a large area on the Qinghai–Tibet Plateau due to ongoing climate warming. To analyze and investigate the seasonal freeze–thaw process of the active layer, we employ the new small b...

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Published in:Sensors
Main Authors: Jing Wang, Chao Wang, Hong Zhang, Yixian Tang, Xuefei Zhang, Zhengjia Zhang
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2020
Subjects:
Online Access:https://doi.org/10.3390/s20164464
https://doaj.org/article/43e643c572bc4a878fdf8808acaa50a1
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spelling ftdoajarticles:oai:doaj.org/article:43e643c572bc4a878fdf8808acaa50a1 2023-05-15T17:57:42+02:00 Small-Baseline Approach for Monitoring the Freezing and Thawing Deformation of Permafrost on the Beiluhe Basin, Tibetan Plateau Using TerraSAR-X and Sentinel-1 Data Jing Wang Chao Wang Hong Zhang Yixian Tang Xuefei Zhang Zhengjia Zhang 2020-08-01T00:00:00Z https://doi.org/10.3390/s20164464 https://doaj.org/article/43e643c572bc4a878fdf8808acaa50a1 EN eng MDPI AG https://www.mdpi.com/1424-8220/20/16/4464 https://doaj.org/toc/1424-8220 doi:10.3390/s20164464 1424-8220 https://doaj.org/article/43e643c572bc4a878fdf8808acaa50a1 Sensors, Vol 20, Iss 4464, p 4464 (2020) Qinghai–Tibet the active layer NSBAS freeze–thaw cycles seasonal deformation Chemical technology TP1-1185 article 2020 ftdoajarticles https://doi.org/10.3390/s20164464 2022-12-30T20:44:30Z The dynamic changes of the thawing and freezing processes of the active layer cause seasonal subsidence and uplift over a large area on the Qinghai–Tibet Plateau due to ongoing climate warming. To analyze and investigate the seasonal freeze–thaw process of the active layer, we employ the new small baseline subset (NSBAS) technique based on a piecewise displacement model, including seasonal deformation, as well as linear and residual deformation trends, to retrieve the surface deformation of the Beiluhe basin. We collect 35 Sentinel-1 images with a 12 days revisit time and 9 TerraSAR-X images with less-than two month revisit time from 2018 to 2019 to analyze the type of the amplitude of seasonal oscillation of different ground targets on the Beiluhe basin in detail. The Sentinel-1 results show that the amplitude of seasonal deformation is between −62.50 mm and 11.50 mm, and the linear deformation rate ranges from −24.50 mm/yr to 5.00 mm/yr (2018–2019) in the study area. The deformation trends in the Qinghai–Tibet Railway (QTR) and Qinghai–Tibet Highway (QTH) regions are stable, ranging from −18.00 mm to 6 mm. The InSAR results of Sentinel-1 and TerraSAR-X data show that seasonal deformation trends are consistent, exhibiting good correlations 0.78 and 0.84, and the seasonal and linear deformation rates of different ground targets are clearly different on the Beiluhe basin. Additionally, there are different time lags between the maximum freezing uplift or thawing subsidence and the maximum or minimum temperature for the different ground target areas. The deformation values of the alpine meadow and floodplain areas are higher compared with the alpine desert and barren areas, and the time lags of the freezing and thawing periods based on the Sentinel-1 results are longest in the alpine desert area, that is, 86 days and 65 days, respectively. Our research has important reference significance for the seasonal dynamic monitoring of different types of seasonal deformation and the extensive investigations of permafrost in ... Article in Journal/Newspaper permafrost Directory of Open Access Journals: DOAJ Articles The Sentinel ENVELOPE(73.317,73.317,-52.983,-52.983) Sensors 20 16 4464
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Qinghai–Tibet
the active layer
NSBAS
freeze–thaw cycles
seasonal deformation
Chemical technology
TP1-1185
spellingShingle Qinghai–Tibet
the active layer
NSBAS
freeze–thaw cycles
seasonal deformation
Chemical technology
TP1-1185
Jing Wang
Chao Wang
Hong Zhang
Yixian Tang
Xuefei Zhang
Zhengjia Zhang
Small-Baseline Approach for Monitoring the Freezing and Thawing Deformation of Permafrost on the Beiluhe Basin, Tibetan Plateau Using TerraSAR-X and Sentinel-1 Data
topic_facet Qinghai–Tibet
the active layer
NSBAS
freeze–thaw cycles
seasonal deformation
Chemical technology
TP1-1185
description The dynamic changes of the thawing and freezing processes of the active layer cause seasonal subsidence and uplift over a large area on the Qinghai–Tibet Plateau due to ongoing climate warming. To analyze and investigate the seasonal freeze–thaw process of the active layer, we employ the new small baseline subset (NSBAS) technique based on a piecewise displacement model, including seasonal deformation, as well as linear and residual deformation trends, to retrieve the surface deformation of the Beiluhe basin. We collect 35 Sentinel-1 images with a 12 days revisit time and 9 TerraSAR-X images with less-than two month revisit time from 2018 to 2019 to analyze the type of the amplitude of seasonal oscillation of different ground targets on the Beiluhe basin in detail. The Sentinel-1 results show that the amplitude of seasonal deformation is between −62.50 mm and 11.50 mm, and the linear deformation rate ranges from −24.50 mm/yr to 5.00 mm/yr (2018–2019) in the study area. The deformation trends in the Qinghai–Tibet Railway (QTR) and Qinghai–Tibet Highway (QTH) regions are stable, ranging from −18.00 mm to 6 mm. The InSAR results of Sentinel-1 and TerraSAR-X data show that seasonal deformation trends are consistent, exhibiting good correlations 0.78 and 0.84, and the seasonal and linear deformation rates of different ground targets are clearly different on the Beiluhe basin. Additionally, there are different time lags between the maximum freezing uplift or thawing subsidence and the maximum or minimum temperature for the different ground target areas. The deformation values of the alpine meadow and floodplain areas are higher compared with the alpine desert and barren areas, and the time lags of the freezing and thawing periods based on the Sentinel-1 results are longest in the alpine desert area, that is, 86 days and 65 days, respectively. Our research has important reference significance for the seasonal dynamic monitoring of different types of seasonal deformation and the extensive investigations of permafrost in ...
format Article in Journal/Newspaper
author Jing Wang
Chao Wang
Hong Zhang
Yixian Tang
Xuefei Zhang
Zhengjia Zhang
author_facet Jing Wang
Chao Wang
Hong Zhang
Yixian Tang
Xuefei Zhang
Zhengjia Zhang
author_sort Jing Wang
title Small-Baseline Approach for Monitoring the Freezing and Thawing Deformation of Permafrost on the Beiluhe Basin, Tibetan Plateau Using TerraSAR-X and Sentinel-1 Data
title_short Small-Baseline Approach for Monitoring the Freezing and Thawing Deformation of Permafrost on the Beiluhe Basin, Tibetan Plateau Using TerraSAR-X and Sentinel-1 Data
title_full Small-Baseline Approach for Monitoring the Freezing and Thawing Deformation of Permafrost on the Beiluhe Basin, Tibetan Plateau Using TerraSAR-X and Sentinel-1 Data
title_fullStr Small-Baseline Approach for Monitoring the Freezing and Thawing Deformation of Permafrost on the Beiluhe Basin, Tibetan Plateau Using TerraSAR-X and Sentinel-1 Data
title_full_unstemmed Small-Baseline Approach for Monitoring the Freezing and Thawing Deformation of Permafrost on the Beiluhe Basin, Tibetan Plateau Using TerraSAR-X and Sentinel-1 Data
title_sort small-baseline approach for monitoring the freezing and thawing deformation of permafrost on the beiluhe basin, tibetan plateau using terrasar-x and sentinel-1 data
publisher MDPI AG
publishDate 2020
url https://doi.org/10.3390/s20164464
https://doaj.org/article/43e643c572bc4a878fdf8808acaa50a1
long_lat ENVELOPE(73.317,73.317,-52.983,-52.983)
geographic The Sentinel
geographic_facet The Sentinel
genre permafrost
genre_facet permafrost
op_source Sensors, Vol 20, Iss 4464, p 4464 (2020)
op_relation https://www.mdpi.com/1424-8220/20/16/4464
https://doaj.org/toc/1424-8220
doi:10.3390/s20164464
1424-8220
https://doaj.org/article/43e643c572bc4a878fdf8808acaa50a1
op_doi https://doi.org/10.3390/s20164464
container_title Sensors
container_volume 20
container_issue 16
container_start_page 4464
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