Guijie Wang

Prof. Guijie Wang


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 November 2012 in Environmental Earth Sciences
Verified
Journal Article
Closed access
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GWGuijie Wang
Guijie Wang
Mowen XieMowen Xie
Mowen Xie
XCXiaoqing Chai
Xiaoqing Chai
LWLiwei Wang
Liwei Wang
CDChenxi Dong
Chenxi Dong

1 October 2019 in Journal of Applied Remote Sensing
Verified
Journal Article
Open access
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GWGuijie Wang
Guijie Wang
YWYunlong Wang
Yunlong Wang
XZXisheng Zang
Xisheng Zang
JZJuyan Zhu
Juyan Zhu
WWWeilun Wu
Weilun Wu
Interferometric synthetic aperture radar (InSAR) has come to provide an important type of technology for monitoring wide-area and long-term ground movement. It has been widely applied to survey areas with landslides. Achache et al.1 demonstrated the ability of InSAR to monitor small displacements at the scale required for large landslide monitoring and acquired the same trend as that of ground-based measurements. Soon after, Fruneau et al.,2 Vietmeier et al.,3 Rizzo and Tesauro,4 and Squarzoni et al.5 began to apply InSAR technology in landslide monitoring and compared the trends and results with ground-based measurements. Then, international experts and scholars carried out more in-depth studies of the application of the InSAR technique to landslide monitoring, and the emphasis of research changed from validation of monitoring results to quantitative analysis of monitoring accuracy.6 – 12 Next, high-accuracy monitoring methods, including persistent scatterer InSAR,13 small baseline subset InSAR (SBAS-InSAR),14 coherent point target,15 stable point network,16 StaMPS,17 and SqueeSAR,18 were proposed and applied.19 – 35 To further improve region investigation and monitoring accuracy of landslides, InSAR has been combined with optical remote sensing, Global Navigation Satellite System, corner reflectors, and ground-based radar.36 – 45 However, due to the influence of complex regional topography and land use, improving the locating and monitoring accuracy of time series (TS)-InSAR in detecting the development of regional landslides remains a problem that urgently needs to be solved. Plank et al.46 presented a geographical information system procedure to predict the areas of layover and shadowing due to the geometric distortion of radar image caused by rugged terrain. Notti et al.47 used various persistent scatterer interferometry techniques to map and monitor landslides in various mountainous environments to improve the extraction density of permanent scatterer. Wang et al.48 and Xie et al.49 also carried out studies on the location and monitoring of landslides in alpine canyon areas by applying InSAR technology.

28 April 2017 in Geotechnical and Geological Engineering
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Journal Article
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TQTongchun Qin
Tongchun Qin
HWHaigang Wang
Haigang Wang
GWGuijie Wang
Guijie Wang
YLYanming Liu
Yanming Liu
XLXia Li
Xia Li

29 April 2014
Verified
Book Chapter
Closed access
PDF file
GWGuijie Wang
Guijie Wang
YYYueping Yin
Yueping Yin
MXMowen Xie
Mowen Xie
WWWeilun Wu
Weilun Wu

1 July 2010
Verified
Conference Paper
Closed access
Mowen XieMowen Xie
Mowen Xie
JHJiehui Huang
Jiehui Huang
GWGuijie Wang
Guijie Wang
XLXiangyu Liu
Xiangyu Liu
QFQiang Fu
Qiang Fu
Landslide disaster has happened frequently in our country. Monitoring and early warning are the main means to effectively reduce the harm of landslide disaster. Different from the traditional method of monitoring, differential interferometry synthetic aperture radar (D-InSAR) measuring technique has the advantage of detecting and penetrating earth surface in all weather conditions and in all time, obtaining continuous and large-area deformation information. Taking the Jinpingzi Landslide of Jinshajiang valley as the research object. The monitoring technique of three orbits difference, the basic method of D-InSAR, is used to obtain surface deformation value. Research results show that the deformation value of Landslide boundaries is larger than the surrounding area, and the D-InSAR technology is a feasible approach for monitoring landslide.