Next Article in Journal
FPGA-Based High-Performance Embedded Systems for Adaptive Edge Computing in Cyber-Physical Systems: The ARTICo3 Framework
Next Article in Special Issue
An Adaptive Nonlocal Mean Filter for PolSAR Data with Shape-Adaptive Patches Matching
Previous Article in Journal
Analysis of the Scalability of UWB Indoor Localization Solutions for High User Densities
Previous Article in Special Issue
Parameter Estimation of SAR Signal Based on SVD for the Nyquist Folding Receiver
Article Menu
Issue 6 (June) cover image

Export Article

Open AccessArticle
Sensors 2018, 18(6), 1876; https://doi.org/10.3390/s18061876

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

1
College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China
2
State Key Laboratory of Geohazard Prevention and Geoenviroment Protection, Chengdu University of Technology, Chengdu 610059, China
3
Department of Surveying and Geo-Informatics, Southwest Jiaotong University, Chengdu 610031, China
4
COMET, School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
5
School of Civil Engineering and Architecture, Southwest Petroleum University, Chengdu 610500, China
6
Sichuan No. 1 Surveying and Mapping Engineering Institute, Chengdu 610100, China
*
Author to whom correspondence should be addressed.
Received: 22 April 2018 / Revised: 29 May 2018 / Accepted: 5 June 2018 / Published: 8 June 2018
View Full-Text   |   Download PDF [19843 KB, uploaded 8 June 2018]   |  

Abstract

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. View Full-Text
Keywords: InSAR; temporary scatterers; permafrost region; highway subsidence; thermokarst; season frozen soil InSAR; temporary scatterers; permafrost region; highway subsidence; thermokarst; season frozen soil
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Dai, K.; Liu, G.; Li, Z.; Ma, D.; Wang, X.; Zhang, B.; Tang, J.; Li, G. Monitoring Highway Stability in Permafrost Regions with X-band Temporary Scatterers Stacking InSAR. Sensors 2018, 18, 1876.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top