基于SBAS-InSAR和光学遥感的天津市北部山区潜在滑坡识别研究
Identification of Potential Landslides in the Northern Mountainous Area of Tianjin Based on SBAS-InSAR and Optical Remote Sensing
王勇 1邢振涛 1李锁 2闫勇 2司甜1
作者信息
- 1. 天津城建大学 地质与测绘学院,天津,300384
- 2. 天津市地质工程勘测设计院有限公司,天津,300191
- 折叠
摘要
以天津市北部山区为研究对象,开展潜在滑坡识别研究,利用差分干涉测量短基线集时序分析技术(SBAS-InSAR)处理2018-01-2022-08的56景Sentinel-1A数据,并结合2018-2022年的Landsat8光学遥感影像,分析形变与光学遥感影像特征以及NDVI,筛选出潜在滑坡区域.研究结果表明:基于SBAS-InSAR技术识别的天津北部山区的形变较大区域有20处,使用光学遥感影像结合各发育环境要素进行处理确定的区域有19处,其中5处经两种技术确认为滑坡隐患,通过对该5处沉降信息进行识别分析,该5处区域最大年形变速率可达-12 mm/a,需要进行重点监测预警,使用两种技术结合对滑坡隐患区域进行识别可以有效地提高识别准确度,为天津北部山区灾害监测提供新的方式.
Abstract
Taking the mountainous area in the north of Tianjin as the research object,the identification of po-tential landslide is researched,by using 56 Sentinel-1A data from 2018-01 to 2022-08 processed by SBAS-InSAR technology,and combining with the Landsat8 optical remote sensing images from 2018-2022,shape variable and optical remote sensing image features and NDVI are analyzed to screen the potential landslide area.The results show that:There are 20 large deformation areas identified by SBAS-InSAR technology in the northern mountainous area of Tianjin,19 areas identified by optical remote sensing images combined with various development environment ele-ments,and a total of 5 areas identified jointly by the two technologies.These 5 areas are identified as potential land-slide areas,through the identification and analysis of the settlement information of the 5 areas,the maximum annual deformation rate of the five areas can reach-12 mm/a,and it is necessary to conduct key monitoring and early warn-ing.The combination of the two technologies can effectively improve the identification accuracy of potential landslide areas,and provide a new way for disaster monitoring in the northern mountainous area of Tianjin.
关键词
潜在滑坡/SBAS-InSAR/光学遥感影像/天津市北部山区Key words
potential landslide/SBAS-InSAR/optical remote sensing image/northern mountainous area of Tianjin引用本文复制引用
出版年
2025
国家科技期刊平台
NSTL
万方数据