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Multi-dimensional and long-term time series monitoring and early warning of landslide hazard with improved cross-platform sar offset tracking method

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Science China(Technological Sciences) 2022年第8期65卷 1891-1912页

作者： YIN YuePing LIU XiaoJie ZHAO ChaoYing TOMÁS Roberto ZHANG Qin LU Zhong LI Bin China Institute of Geo-environment Monitoring Beijing 100081China School of Geological Engineering and Geomatics Chang’an UniversityXi’an 710054China Department of Civil Engineering University of AlicanteAlicante 03080Spain Key Laboratory of Western China’s Mineral Resources and Geological Engineering Ministry of EducationXi’an 710054China Roy M.Huffington Department of Earth Sciences Southern Methodist UniversityDallas TX 75275USA Institute of Geomechanics Chinese Academy of Geological SciencesBeijing 100081China

Multi-dimensional, long-term time series displacement monitoring is crucial for generating early warnings for active landslides and for mitigating geohazards. The synthetic aperture radar(sar) interferometry method has been widely applied to achieve small-gradient landslide displacement monitoring;however, measuring the landslide displacement with a steep gradient has posed certain challenges. In comparison, the sar offset tracking method is a powerful tool for mapping large-gradient landslide displacement in both the slant-range and azimuth directions. Nevertheless, there are some limitations in the existing sar offset tracking approaches:(i) the measurement accuracy is greatly reduced by the extreme topography relief in high mountain areas,(ii) a fixed matching window from expert experience is usually adopted in the calculation of cross-correlation,(iii) estimating the long-term displacements between the sar images from cross-platforms and with longer spatiotemporal baselines is a challenging task, and(iv) it is difficult to calculate the three-dimensional(3D) landslide displacements using a single sar ***, only a few studies have focused on how to realize early warning of landslide deformation using sar *** address these issues, this paper presents an improved cross-platform sar offset tracking method, which can not only estimate high-precision landslide displacements in two and three dimensions but also calculate long-term time series displacements over a decade using cross-platform sar offset tracking measurements. Initially, we optimize the traditional sar offset tracking workflow to estimate high-precision ground displacements, in which three improvements are highlighted:(i) an“ortho-rectification” operation is applied to restrain the effect of topography relief,(ii) an “adaptive matching window” is adopted in the cross-correlation computation, and(iii) a new strategy is proposed to combine all the possible offset pairs and optima

关键词： landslide multi-dimensional displacement displacement forecasting early warning sar offset tracking

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