Monitoring Highway Stability in Permafrost Regions with X-band Temporary Scatterers Stacking InSAR

Interferograms with short wavelength (e.g., X-band) are usually prone to temporal decorrelation in permafrost regions, leading to the unavailability of sufficient high-coherence interferograms for performing conventional time series InSAR analysis. This paper proposes the utilization of temporary sc...

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Published in:Sensors
Main Authors: Keren Dai, Guoxiang Liu, Zhenhong Li, Deying Ma, Xiaowen Wang, Bo Zhang, Jia Tang, Guangyu Li
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2018
Subjects:
Online Access:https://doi.org/10.3390/s18061876
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spelling ftmdpi:oai:mdpi.com:/1424-8220/18/6/1876/ 2023-08-20T04:09:10+02:00 Monitoring Highway Stability in Permafrost Regions with X-band Temporary Scatterers Stacking InSAR Keren Dai Guoxiang Liu Zhenhong Li Deying Ma Xiaowen Wang Bo Zhang Jia Tang Guangyu Li 2018-06-08 application/pdf https://doi.org/10.3390/s18061876 EN eng Multidisciplinary Digital Publishing Institute Remote Sensors https://dx.doi.org/10.3390/s18061876 https://creativecommons.org/licenses/by/4.0/ Sensors; Volume 18; Issue 6; Pages: 1876 InSAR temporary scatterers permafrost region highway subsidence thermokarst season frozen soil Text 2018 ftmdpi https://doi.org/10.3390/s18061876 2023-07-31T21:34:00Z Interferograms with short wavelength (e.g., X-band) are usually prone to temporal decorrelation in permafrost regions, leading to the unavailability of sufficient high-coherence interferograms for performing conventional time series InSAR analysis. This paper proposes the utilization of temporary scatterers for the stacking InSAR method, thus enabling extraction of subsidence in a permafrost region with limited SAR images and limited high-coherence interferograms. Such method is termed as the temporary scatterers stacking InSAR (TSS-InSAR). Taking the Gonghe-Yushu highway (about 30 km), part of G214 National Highway in Qinghai province (in a permafrost region), as a case study, this TSS-InSAR approach was demonstrated in detail and implemented. With 10 TerraSAR-X images acquired during the period from May 2015 to August 2015, the subsidence along this highway was extracted. In this case the lack of a consistent number of SAR acquisitions limits the possibility to perform other conventional time series InSAR analysis. The results show that the middle part of this highway is in the thermokarst and seasonal frozen soil area, and its accumulated subsidence reach up to 10 cm in 110 days. The thawing phenomena is still the main reason for the instability of highway. The results demonstrate that the TSS-InSAR method can effectively extract the subsidence information in a challenging scenario with limited X-band SAR images and limited high-coherence interferograms, where other time series InSAR-based techniques cannot be applied in a simple way. Text permafrost Thermokarst MDPI Open Access Publishing Sensors 18 6 1876
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic InSAR
temporary scatterers
permafrost region
highway subsidence
thermokarst
season frozen soil
spellingShingle InSAR
temporary scatterers
permafrost region
highway subsidence
thermokarst
season frozen soil
Keren Dai
Guoxiang Liu
Zhenhong Li
Deying Ma
Xiaowen Wang
Bo Zhang
Jia Tang
Guangyu Li
Monitoring Highway Stability in Permafrost Regions with X-band Temporary Scatterers Stacking InSAR
topic_facet InSAR
temporary scatterers
permafrost region
highway subsidence
thermokarst
season frozen soil
description Interferograms with short wavelength (e.g., X-band) are usually prone to temporal decorrelation in permafrost regions, leading to the unavailability of sufficient high-coherence interferograms for performing conventional time series InSAR analysis. This paper proposes the utilization of temporary scatterers for the stacking InSAR method, thus enabling extraction of subsidence in a permafrost region with limited SAR images and limited high-coherence interferograms. Such method is termed as the temporary scatterers stacking InSAR (TSS-InSAR). Taking the Gonghe-Yushu highway (about 30 km), part of G214 National Highway in Qinghai province (in a permafrost region), as a case study, this TSS-InSAR approach was demonstrated in detail and implemented. With 10 TerraSAR-X images acquired during the period from May 2015 to August 2015, the subsidence along this highway was extracted. In this case the lack of a consistent number of SAR acquisitions limits the possibility to perform other conventional time series InSAR analysis. The results show that the middle part of this highway is in the thermokarst and seasonal frozen soil area, and its accumulated subsidence reach up to 10 cm in 110 days. The thawing phenomena is still the main reason for the instability of highway. The results demonstrate that the TSS-InSAR method can effectively extract the subsidence information in a challenging scenario with limited X-band SAR images and limited high-coherence interferograms, where other time series InSAR-based techniques cannot be applied in a simple way.
format Text
author Keren Dai
Guoxiang Liu
Zhenhong Li
Deying Ma
Xiaowen Wang
Bo Zhang
Jia Tang
Guangyu Li
author_facet Keren Dai
Guoxiang Liu
Zhenhong Li
Deying Ma
Xiaowen Wang
Bo Zhang
Jia Tang
Guangyu Li
author_sort Keren Dai
title Monitoring Highway Stability in Permafrost Regions with X-band Temporary Scatterers Stacking InSAR
title_short Monitoring Highway Stability in Permafrost Regions with X-band Temporary Scatterers Stacking InSAR
title_full Monitoring Highway Stability in Permafrost Regions with X-band Temporary Scatterers Stacking InSAR
title_fullStr Monitoring Highway Stability in Permafrost Regions with X-band Temporary Scatterers Stacking InSAR
title_full_unstemmed Monitoring Highway Stability in Permafrost Regions with X-band Temporary Scatterers Stacking InSAR
title_sort monitoring highway stability in permafrost regions with x-band temporary scatterers stacking insar
publisher Multidisciplinary Digital Publishing Institute
publishDate 2018
url https://doi.org/10.3390/s18061876
genre permafrost
Thermokarst
genre_facet permafrost
Thermokarst
op_source Sensors; Volume 18; Issue 6; Pages: 1876
op_relation Remote Sensors
https://dx.doi.org/10.3390/s18061876
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/s18061876
container_title Sensors
container_volume 18
container_issue 6
container_start_page 1876
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