融合多源遥感的滑坡隐患识别及形变监测--以井冈山下茅坪水库滑坡为例  

Landslide Hazard Identification and Deformation Monitoring Based on Multi-source Remote Sensing:A Case Study of the Xiamaoping Reservoir Landslide in Jinggang Mountain

作　　者：危洪波 龚珺 夏元平 王霞迎 陈帅强 杨雨媚 折育霖 储小东 WEI Hongbo;GONG Jun;XIA Yuanping;WANG Xiaying;CHEN Shuaiqiang;YANG Yumei;SHE Yulin;CHU Xiaodong(Institute of Geological Environment Monitoring,Jiangxi Geological Survey and Exploration Institute,Nanchang 330013,China;School of Surveying and Geoinformation Engineering,East China University of Technology,Nanchang 330013,China)

机构地区：[1]江西省地质调查勘查院地质环境监测所,江西南昌330013 [2]东华理工大学测绘与空间信息工程学院,江西南昌330013

出　　处：《东华理工大学学报（自然科学版）》2024年第3期286-293,共8页Journal of East China University of Technology(Natural Science)

基　　金：国家自然科学基金项目(42174055);江西省教育厅科学技术研究项目(GJJ210722)。

摘　　要：利用现代遥感技术进行潜在滑坡体的大范围识别及重点滑坡监测,已成为当前防灾减灾的研究重点。其中,对植被茂密区域小尺度滑坡的探究一直是研究的难点。以井冈山下茅坪水库滑坡及周边区域为例,联合光学影像及Sentinel 1A雷达影像,利用光学解译及InSAR形变技术,实现大范围滑坡隐患体的识别;并借助StaMPS InSAR、SBAS InSAR技术,对重点小规模滑坡体进行长时序形变监测。研究结果表明,基于StaMPS InSAR大范围识别出3处滑坡,融合GF数据的影像解译,确定井冈山下茅坪水库滑坡为隐患体。针对隐患体,基于上述两种InSAR技术进行长时序形变监测,获取其滑动前后的形变状态。且此滑坡的发生与地形坡度、降雨和人类活动存在强相关。研究结果可为小尺度滑坡隐患体的识别及监测提供参考。The large-scale identification of potential landslides and monitoring of key landslides with modern remote sensing technology have become the focus of current research on disaster prevention and reduction.Among them,the investigation of small-scale landslides in densely vegetated areas has always been a challenge in research.Therefore,the area around the Maoping Reservoir landslide at the foot of the Jinggang Mountains is selected as an example.It combines optical imagery with Sentinel-1A radar imagery,employing optical interpretation and InSAR deformation technology to achieve the identification of landslide hazards over a large area.Additionally,using StaMPS-InSAR and SBAS-InSAR techniques,it conducts long-term deformation monitoring of specific small-scale landslide bodies.The research findings indicate that three landslides were identified over a large area based on StaMPS-InSAR.This together with the imagery interpretation based on GF data confirmed the Maoping Reservoir landslide at the foot of the Jinggang Mountains as a hazard.For this potential hazard,long-term deformation monitoring was carried out based on the above two InSAR techniques,obtaining the deformation state before and after the sliding of this landslide.The occurrence of this landslide is strongly correlated with terrain slope,rainfall,and human activities.The results of this study provide meaningful references for the identification and monitoring of small-scale landslide hazards.

关 键 词：StaMPS InSAR SBAS InSAR 滑坡早期识别 光学遥感 小尺度滑坡 

分 类 号：P694[天文地球—地质学]