小型斜坡隐患识别“空天地”图谱几何遥感方法  

Remote sensing of“space-sky-terrestrial”using spectral and geometry for small slope hidden danger

作　　者：王斌[1,2,3] 徐佳沅 唐力明[1,2,3] 周立鹏 WANG Bin;XU Jiayuan;TANG Liming;ZHOU Lipeng(Surveying and Mapping Institute Lands and Resource Department Guangdong Province,Guangzhou 510663,China;Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China,Ministry of Natural Resources,Guangzhou 510663,China;Guangdong Science and Technology Collaborative Innovation Center for Natural Resources,Guangzhou 510663,China)

机构地区：[1]广东省国土资源测绘院,广东广州510663 [2]自然资源部华南亚热带自然资源监测重点实验室,广东广州510663 [3]广东省自然资源科技协同创新中心,广东广州510663

出　　处：《测绘通报》2023年第8期136-141,共6页Bulletin of Surveying and Mapping

基　　金：广东省省级科技计划(2021B1111610001,2021B1212100003);广东省自然资源厅科技项目(GDZRZYKJ2022008);广东省自然灾害防治体系建设专项。

摘　　要：“空天地”一体化三查技术体系在西南地区大中型滑坡等灾害早期识别中得到验证和应用,但该方法对人类工程活动诱发的小型灾变体查全率较低。快速准确识别小型隐患点位置极为迫切。本文以广东省龙川县为例,针对点小面广、多发隐蔽的小型斜坡变形和人工切坡建房诱发的崩滑流灾害,研究试验“全查-带扫-点筛-面核-群防-联审”模式的早期识别图谱几何遥感方法,利用2019年1月8日至2022年6月29日94期Sentinel-1雷达影像SBAS-InSAR时序反演、提取异常形变区,综合激光雷达扫描和地质孕灾背景资料从异常形变区图斑中筛查标识出疑似隐患风险点,并开展现场外业核查界定隐患风险类型。结果表明:时序InSAR反演初查发现323处异常形变区,筛查标识出疑似隐患图斑82处,对55处图斑现场外业验证,7处界定为隐患点。证明该方法具有应用价值,能够为地质灾害隐患风险点防灾减灾提供科学依据。The“space-sky-terrestrial”integrated three-check technology system was verified and applied to the large/medium-sized slope hidden danger identification early in Southwest China,but this method has a low recall rate for small disasters induced by human engineering activities.It is extremely urgent to quickly and accurately identify small hidden danger points.In response to the small、wide、frequent and hidden slope deformation,and the landslide disasters induced by artificially cutting the slope and building houses,this paper takes Guangdong Longchuan as an example,which researchs and experiments of“full inspection-belt sweep-point screening-surface core-Group defense-joint trial”early identification spectral and geometry remote sensing method,using the SBAS-InSAR time series inversion of Sentinel-1 radar images from January 8,2019 to June 29,2022 to extract abnormal deformation areas,then combining LiDAR and geological disaster background information to identify the slope hidden danger points from the abnormal deformation areas,and defines the types of hidden danger through verification in the field.The results show that 323 abnormal deformation areas are found by time series InSAR inversion,82 suspected hidden danger spots are identified by screening,55 spots are verified in the field,and 7 are defined as hidden danger points.It is proved that the method has application value,which can provide scientific basis for disaster prevention and reduction at geological hidden danger.

关 键 词：斜坡变形 三查体系 光学遥感 合成孔径雷达 激光点云 

分 类 号：P237[天文地球—摄影测量与遥感]