Long-Term Remote Monitoring of Ground Deformation Using Sentinel-1 Interferometric Synthetic Aperture Radar (InSAR): Applications and Insights into Geotechnical Engineering Practices

被引:27
作者
Ramirez, Ryan [1 ]
Lee, Seung-Rae [1 ]
Kwon, Tae-Hyuk [1 ]
机构
[1] Korea Adv Inst Sci & Technol KAIST, Dept Civil & Environm Engn, Daejeon 34141, South Korea
来源
APPLIED SCIENCES-BASEL | 2020年 / 10卷 / 21期
基金
新加坡国家研究基金会;
关键词
remote sensing; geotechnical engineering; Sentinel-1 SAR data; SNAP-StaMPS; InSAR; A-DInSAR; ground deformation; South Korea; PERMANENT SCATTERERS; DISPLACEMENT FIELD; EARTHQUAKE; LANDSLIDE; LANDERS; LIQUEFACTION; CALIFORNIA;
D O I
10.3390/app10217447
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Development of synthetic aperture radar (SAR) technology and the dedicated suite of processing tools have aided the evolution of remote sensing techniques for various Earth Observation (EO) applications. Interferometric SAR (InSAR) is a relatively new geodetic technique which provides high-speed and reliable geographic, geologic, and hazards information allowing the prognosis of future environmental and urban planning. In this study, we explored the applicability of two differential interferometry techniques, conventional and advanced differential InSAR (A-DInSAR), for topographic mapping and long-term geotechnical monitoring by exploiting satellite data, particularly Sentinel-1 SAR data, which is publicly shared. We specifically used the open-source tools of SeNtinel Application Platform (SNAP) and Stanford Method for Persistent Scatterers (StaMPS) for interferometric data processing to implement A-DInSAR. This study presents various applications, which include generation of a digital elevation model (DEM), mapping of seismically induced displacement and associated damages, and detection and long-term monitoring of tunneling-induced ground deformation and rainfall-induced landslide. Geometric and temporal decorrelations posed challenges and limitations in the successful implementation of Sentinel-1 SAR interferometry specifically in vegetated areas. The presented results proved the validity and reliability of the exploited SAR data and InSAR techniques for addressing geotechnical engineering related problems.
引用
收藏
页码:1 / 20
页数:20
相关论文
共 56 条
[1]   Landslide Mapping and Monitoring Using Persistent Scatterer Interferometry (PSI) Technique in the French Alps [J].
Aslan, Gokhan ;
Foumelis, Michael ;
Raucoules, Daniel ;
De Michele, Marcello ;
Bernardie, Severine ;
Cakir, Ziyadin .
REMOTE SENSING, 2020, 12 (08)
[2]   Detection of Liquefaction Phenomena from the 2017 Pohang (Korea) Earthquake Using Remote Sensing Data [J].
Baik, Hyunseob ;
Son, Young-Sun ;
Kim, Kwang-Eun .
REMOTE SENSING, 2019, 11 (18)
[3]   Using advanced InSAR techniques to monitor landslide deformations induced by tunneling in the Northern Apennines, Italy [J].
Bayer, B. ;
Simoni, A. ;
Schmidt, D. ;
Bertello, L. .
ENGINEERING GEOLOGY, 2017, 226 :20-32
[4]   Statistical comparison of InSAR tropospheric correction techniques [J].
Bekaert, D. P. S. ;
Walters, R. J. ;
Wright, T. J. ;
Hooper, A. J. ;
Parker, D. J. .
REMOTE SENSING OF ENVIRONMENT, 2015, 170 :40-47
[5]   A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms [J].
Berardino, P ;
Fornaro, G ;
Lanari, R ;
Sansosti, E .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2002, 40 (11) :2375-2383
[6]   Optimum Baseline of a Single-Pass In-SAR System to Generate the Best DEM in Tidal Flats [J].
Choi, Changhyun ;
Kim, Duk-jin .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018, 11 (03) :919-929
[7]   Sentinel-1 for Monitoring Land Subsidence of Coastal Cities in Africa Using PSInSAR: A Methodology Based on the Integration of SNAP and StaMPS [J].
Cian, Fabio ;
Delgado Blasco, Jose Manuel ;
Carrera, Lorenzo .
GEOSCIENCES, 2019, 9 (03)
[8]   Monitoring landslides and tectonic motions with the Permanent Scatterers Technique [J].
Colesanti, C ;
Ferretti, A ;
Prati, C ;
Rocca, F .
ENGINEERING GEOLOGY, 2003, 68 (1-2) :3-14
[9]  
Crosetto M., 2000, INT ARCH PHOTOGRA B1, V33, P46
[10]  
Czikhardt R, 2017, GEOSCIENCES, V7, DOI 10.3390/geosciences7030087