基于时序InSAR的青海同仁市滑坡隐患早期识别与特征解析  

Early Identification and Characteristic Analysis of Landslide Hidden Danger in Tongren City of Qinghai Province Based on Time Series InSAR

作　　者：李宗仁[1,2,3] 沙永莲 辛荣芳 张兴 隋嘉[4] 孙皓 LI Zong-ren;SHA Yong-lian;XIN Rong-fang;ZHANG Xing;SUI Jia;SUN Hao(Institute of Geological Survey of Qinghai Province,Xining 810012,China;Qinghai Remote Sensing Big Data Engineering Technology Research Center,Xining 810012,China;The Northern Qinghai-Tibet Plateau Geological Processes and Mineral Resources Laboratory,Xining 810012,China;Geological Environment Monitoring Station of Qinghai Provincial,Xining 810001,China)

机构地区：[1]青海省地质调查院,西宁810012 [2]青海省遥感大数据工程技术研究中心,西宁810012 [3]青藏高原北部地质过程与矿产资源重点实验室,西宁810012 [4]青海省地质环境监测总站,西宁810001

出　　处：《科学技术与工程》2023年第35期15158-15170,共13页Science Technology and Engineering

基　　金：青海省重点研发与转化计划(2019-SF-130);青海省自然资源专项(QHYZ-2022-30)。

摘　　要：选取青海省同仁市作为研究区,以Sentinel-1A卫星升降轨合成孔径雷达(synthetic aperture radar,SAR)数据为主要信息源,利用差分干涉测量短基线集时序分析(small baselines subset InSAR,SBAS-InSAR)技术反演提取区域地表形变信息,结合区内地形地貌、地质构造、气象水文、植被覆盖、历史地灾等背景资料,辅以GF-2光学影像筛选确认,实现了区内滑坡隐患的早期识别,共识别出滑坡隐患19处,其中8处为已知滑坡灾害点,11处为新识别隐患点。对形变反演与隐患识别结果进行了形变速率精度分析与结合几何畸变的差异性分析,评价了形变反演结果的精度与有效性,证明了隐患识别结果的全面与准确性。选取了3处典型滑坡隐患从形变时空分布特征、光学影像特征、实地变形特征等方面进行特征解析,掌握了区内滑坡隐患的孕灾条件及变形趋势。区内隐患坡体不稳定,均呈缓慢变形趋势,尤其是6—8月集中降雨期间,形变呈加速趋势,降雨是该区诱发滑坡灾害的主要因素。Tongren City of Qinghai Province was selected as the study area,with Sentinel-1A satellite ascending and descending SAR data as the main information source,and SBAS InSAR technology was used to retrieve and extract regional surface deformation information.In combination with the background data of topography,geological structure,meteorology and hydrology,vegetation coverage,historical disasters,etc.in the area,GF-2 optical image screening and confirmation was used to realize the early identification of landslide hazards in the area,and a total of 19 landslide hazards was identified,Among them,8 landslide hazard points were known and 11 were newly identified hidden danger points.The deformation inversion and hidden danger identification results were analyzed for the accuracy of deformation rate and the difference analysis combined with geometric distortion,the accuracy and effectiveness of the deformation inversion results were evaluated,and the comprehensive and accuracy of the hidden danger identification results were proved.Three typical landslide hazards were selected to analyze the characteristics from the aspects of temporal and spatial distribution characteristics of deformation,optical image characteristics,field deformation characteristics,etc.,and comprehensively grasp the hazard preparation conditions and deformation trend of landslide hazards in the area.The hidden slope in the area is unstable and shows a slow deformation trend,especially during the concentrated rainfall period from June to August,the deformation shows an accelerated trend,and rainfall is the main factor inducing landslide disasters in the area.

关 键 词：同仁市 滑坡隐患 SBAS-InSAR 早期识别 特征解析 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]