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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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Detalles Bibliográficos
Autores principales: Dai, Keren, Liu, Guoxiang, Li, Zhenhong, Ma, Deying, Wang, Xiaowen, Zhang, Bo, Tang, Jia, Li, Guangyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022068/
https://www.ncbi.nlm.nih.gov/pubmed/29890632
http://dx.doi.org/10.3390/s18061876
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author Dai, Keren
Liu, Guoxiang
Li, Zhenhong
Ma, Deying
Wang, Xiaowen
Zhang, Bo
Tang, Jia
Li, Guangyu
author_facet Dai, Keren
Liu, Guoxiang
Li, Zhenhong
Ma, Deying
Wang, Xiaowen
Zhang, Bo
Tang, Jia
Li, Guangyu
author_sort Dai, Keren
collection PubMed
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.
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spelling pubmed-60220682018-07-02 Monitoring Highway Stability in Permafrost Regions with X-band Temporary Scatterers Stacking InSAR Dai, Keren Liu, Guoxiang Li, Zhenhong Ma, Deying Wang, Xiaowen Zhang, Bo Tang, Jia Li, Guangyu Sensors (Basel) Article 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. MDPI 2018-06-08 /pmc/articles/PMC6022068/ /pubmed/29890632 http://dx.doi.org/10.3390/s18061876 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dai, Keren
Liu, Guoxiang
Li, Zhenhong
Ma, Deying
Wang, Xiaowen
Zhang, Bo
Tang, Jia
Li, Guangyu
Monitoring Highway Stability in Permafrost Regions with X-band Temporary Scatterers Stacking InSAR
title 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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022068/
https://www.ncbi.nlm.nih.gov/pubmed/29890632
http://dx.doi.org/10.3390/s18061876
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