Analysis of Permafrost Region Coherence Variation in the Qinghai–Tibet Plateau with a High-Resolution TerraSAR-X Image

The Qinghai–Tibet Plateau (QTP) is heavily affected by climate change and has been undergoing serious permafrost degradation due to global warming. Synthetic aperture radar interferometry (InSAR) has been a significant tool for mapping surface features or measuring physical parameters, such as soil...

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Published in:Remote Sensing
Main Authors: Zhengjia Zhang, Chao Wang, Hong Zhang, Yixian Tang, Xiuguo Liu
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2018
Subjects:
Online Access:https://doi.org/10.3390/rs10020298
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author Zhengjia Zhang
Chao Wang
Hong Zhang
Yixian Tang
Xiuguo Liu
author_facet Zhengjia Zhang
Chao Wang
Hong Zhang
Yixian Tang
Xiuguo Liu
author_sort Zhengjia Zhang
collection MDPI Open Access Publishing
container_issue 2
container_start_page 298
container_title Remote Sensing
container_volume 10
description The Qinghai–Tibet Plateau (QTP) is heavily affected by climate change and has been undergoing serious permafrost degradation due to global warming. Synthetic aperture radar interferometry (InSAR) has been a significant tool for mapping surface features or measuring physical parameters, such as soil moisture, active layer thickness, that can be used for permafrost modelling. This study analyzed variations of coherence in the QTP area for the first time with high-resolution SAR images acquired from June 2014 to August 2016. The coherence variation of typical ground targets was obtained and analyzed. Because of the effects of active-layer (AL) freezing and thawing, coherence maps generated in the Beiluhe permafrost area exhibits seasonal variation. Furthermore, a temporal decorrelation model determined by a linear temporal-decorrelation component plus a seasonal periodic-decorrelation component and a constant component have been proposed. Most of the typical ground targets fit this temporal model. The results clearly indicate that railways and highways can hold high coherence properties over the long term in X-band images. By contrast, mountain slopes and barren areas cannot hold high coherence after one cycle of freezing and thawing. The possible factors (vegetation, soil moisture, soil freezing and thawing, and human activity) affecting InSAR coherence are discussed. This study shows that high-resolution time series of TerraSAR-X coherence can be useful for understanding QTP environments and for other applications.
format Text
genre Active layer thickness
permafrost
genre_facet Active layer thickness
permafrost
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op_doi https://doi.org/10.3390/rs10020298
op_relation Remote Sensing in Geology, Geomorphology and Hydrology
https://dx.doi.org/10.3390/rs10020298
op_rights https://creativecommons.org/licenses/by/4.0/
op_source Remote Sensing
Volume 10
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spelling ftmdpi:oai:mdpi.com:/2072-4292/10/2/298/ 2025-01-16T18:35:25+00:00 Analysis of Permafrost Region Coherence Variation in the Qinghai–Tibet Plateau with a High-Resolution TerraSAR-X Image Zhengjia Zhang Chao Wang Hong Zhang Yixian Tang Xiuguo Liu agris 2018-02-15 application/pdf https://doi.org/10.3390/rs10020298 eng eng Multidisciplinary Digital Publishing Institute Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs10020298 https://creativecommons.org/licenses/by/4.0/ Remote Sensing Volume 10 Issue 2 Pages: 298 TerraSAR-X Staring Spotlight SAR interferometry coherence Tibet permafrost Text 2018 ftmdpi https://doi.org/10.3390/rs10020298 2023-09-03T23:54:38Z The Qinghai–Tibet Plateau (QTP) is heavily affected by climate change and has been undergoing serious permafrost degradation due to global warming. Synthetic aperture radar interferometry (InSAR) has been a significant tool for mapping surface features or measuring physical parameters, such as soil moisture, active layer thickness, that can be used for permafrost modelling. This study analyzed variations of coherence in the QTP area for the first time with high-resolution SAR images acquired from June 2014 to August 2016. The coherence variation of typical ground targets was obtained and analyzed. Because of the effects of active-layer (AL) freezing and thawing, coherence maps generated in the Beiluhe permafrost area exhibits seasonal variation. Furthermore, a temporal decorrelation model determined by a linear temporal-decorrelation component plus a seasonal periodic-decorrelation component and a constant component have been proposed. Most of the typical ground targets fit this temporal model. The results clearly indicate that railways and highways can hold high coherence properties over the long term in X-band images. By contrast, mountain slopes and barren areas cannot hold high coherence after one cycle of freezing and thawing. The possible factors (vegetation, soil moisture, soil freezing and thawing, and human activity) affecting InSAR coherence are discussed. This study shows that high-resolution time series of TerraSAR-X coherence can be useful for understanding QTP environments and for other applications. Text Active layer thickness permafrost MDPI Open Access Publishing Remote Sensing 10 2 298
spellingShingle TerraSAR-X
Staring Spotlight
SAR interferometry
coherence
Tibet permafrost
Zhengjia Zhang
Chao Wang
Hong Zhang
Yixian Tang
Xiuguo Liu
Analysis of Permafrost Region Coherence Variation in the Qinghai–Tibet Plateau with a High-Resolution TerraSAR-X Image
title Analysis of Permafrost Region Coherence Variation in the Qinghai–Tibet Plateau with a High-Resolution TerraSAR-X Image
title_full Analysis of Permafrost Region Coherence Variation in the Qinghai–Tibet Plateau with a High-Resolution TerraSAR-X Image
title_fullStr Analysis of Permafrost Region Coherence Variation in the Qinghai–Tibet Plateau with a High-Resolution TerraSAR-X Image
title_full_unstemmed Analysis of Permafrost Region Coherence Variation in the Qinghai–Tibet Plateau with a High-Resolution TerraSAR-X Image
title_short Analysis of Permafrost Region Coherence Variation in the Qinghai–Tibet Plateau with a High-Resolution TerraSAR-X Image
title_sort analysis of permafrost region coherence variation in the qinghai–tibet plateau with a high-resolution terrasar-x image
topic TerraSAR-X
Staring Spotlight
SAR interferometry
coherence
Tibet permafrost
topic_facet TerraSAR-X
Staring Spotlight
SAR interferometry
coherence
Tibet permafrost
url https://doi.org/10.3390/rs10020298