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...
Published in: | Remote Sensing |
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Main Authors: | , , , , |
Format: | Text |
Language: | English |
Published: |
Multidisciplinary Digital Publishing Institute
2018
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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 |
id | ftmdpi:oai:mdpi.com:/2072-4292/10/2/298/ |
institution | Open Polar |
language | English |
op_collection_id | ftmdpi |
op_coverage | agris |
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 Issue 2 Pages: 298 |
publishDate | 2018 |
publisher | Multidisciplinary Digital Publishing Institute |
record_format | openpolar |
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 |