%0 Journal Article
%T DS-InSAR技术在复杂艰险山区滑坡形变监测中的应用前景研究<br>Study on the Application Prospect of DS-InSAR Technology in Landslide Deformation Monitoring in Complex and Dangerous Mountainous Areas
%A 何沐
%A 赵有兵
%J Geomatics Science and Technology
%P 106-113
%@ 2329-7239
%D 2020
%I Hans Publishing
%R 10.12677/GST.2020.83013
%X 分布式目标雷达干涉(DS-InSAR)技术既继承了传统InSAR技术观测范围广、自动化程度高等技术优势，又能提高复杂艰险山区时序InSAR相干点密度，可应用于滑坡形变监测。本文利用覆盖康定附近的Sentinel-1A升轨影像，基于KS统计检验方法和自适应滤波，提取出了位于岩屑区、裸露土坡的DS点，并进行滑坡形变分析，实验结果为：该滑坡区域在2017年3月~2018年10月的监测时间内，年平均沉降速率约为10.9 mm/y，最大沉降量达到21.0 mm；且发生较大沉降时间段主要集中于每年5~8月，与该区域集中降雨时间相符。实验表明DS-InSAR技术对复杂艰险山区进行滑坡形变监测具有重要的参考价值。<br />
Distributed scatter InSAR (DS-InSAR) not only has the advantage of large scope of observation and high degree of automation in traditional InSAR technology, but also can increase the coherence point density of time series InSAR in complex and dangerous mountainous areas. Therefore, it could be used into landslide deformation monitoring. This paper used Sentinel-1A ascending images covering some areas of Kangding city as the experiment data. DS points located in debris and bare soil slope area were extracted by applying KS statistical test method and adaptive filtering. And then landslide deformation analysis is carried out. The result shows that the average annual subsidence velocity of the landslide area is about 10.9 mm/y and the maximum settlement is 21.0 mm. The large subsidence period is mainly concentrated from May to August each year, which coincides with the time of concentrated rainfall in this area. Experiment shows that DS-InSAR technology has important reference value for landslide deformation monitoring of complex and dangerous mountain area.
%K 复杂艰险山区，滑坡形变监测，DS-InSAR技术，KS统计检验方法<br>Complex and Dangerous Mountainous Areas
%K Landslide Deformation Monitoring
%K DS-InSAR Technology
%K KS Statistical Test Method
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=36374