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

作　　者：YIN YuePing LIU XiaoJie ZHAO ChaoYing TOMÁS Roberto ZHANG Qin LU Zhong LI Bin 

机构地区：[1]China Institute of Geo-environment Monitoring,Beijing 100081,China [2]School of Geological Engineering and Geomatics,Chang’an University,Xi’an 710054,China [3]Department of Civil Engineering,University of Alicante,Alicante 03080,Spain [4]Key Laboratory of Western China’s Mineral Resources and Geological Engineering,Ministry of Education,Xi’an 710054,China [5]Roy M.Huffington Department of Earth Sciences,Southern Methodist University,Dallas TX 75275,USA [6]Institute of Geomechanics,Chinese Academy of Geological Sciences,Beijing 100081,China

出　　处：《Science China(Technological Sciences)》2022年第8期1891-1912,共22页中国科学（技术科学英文版）

基　　金：supported by the National Natural Science Foundation of China (Grant Nos. 41874005 and 41929001);the Fundamental Research Funds for the Central Universities,CHD (Grant Nos. 300102269712 and 300102269303);by the China Geological Survey Projects (Grant Nos. DD20190637 and DD20190647);supported by a Chinese Scholarship Council studentship awarded to Xiaojie Liu (Grant No. 202006560031)。

摘　　要：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 dataset.Additionally, only a few studies have focused on how to realize early warning of landslide deformation using SAR measurements.To 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 optimally design the displacement inversion ne

关 键 词：LANDSLIDE multi-dimensional displacement displacement forecasting early warning SAR offset tracking 

分 类 号：P237[天文地球—摄影测量与遥感] P642.22[天文地球—测绘科学与技术]