基于L波段差分干涉SAR卫星的安康地区滑坡隐患识别  

Identification of potential landslide hazards in the Ankang area using L-band differential interferometric SAR satellite

作　　者：韩静 杨帅 杨涛 朱楠男 马煜栋 张文龙 HAN Jing;YANG Shuai;YANG Tao;ZHU Nannan;MA Yudong;ZHANG Wenlong(Shaanxi Satellite Application Center for Natural Resources,Xi’an 710002,China)

机构地区：[1]自然资源陕西省卫星应用技术中心,西安710002

出　　处：《自然资源遥感》2024年第4期254-259,共6页Remote Sensing for Natural Resources

基　　金：陕西省地质灾害综合防治体系建设项目“国产雷达卫星数据地质灾害隐患识别关键技术研究(陕自然资勘发〔2024〕98号)”资助。

摘　　要：2023年4月1日,我国第一组L波段差分干涉SAR卫星(L-band differential interferometric SAR satellite,L-SAR)开始向自然资源领域试推送干涉SAR数据。为验证L-SAR卫星在高植被覆盖区、地形复杂区、长时间基线下的相干性及形变监测应用效果,选取秦巴山地东段安康区域开展滑坡隐患识别。利用L-SAR数据获取研究区形变信息,结合高分辨率光学影像经综合遥感识别,解译研究区内滑坡隐患7处,经野外调查验证,滑坡隐患区域变形迹象与InSAR监测结果一致。研究表明:L-SAR卫星干涉成像能力较强,成像质量高,形变监测效果较好,能够满足高植被覆盖区形变监测需求;在植被覆盖高的山区,通过L波段SAR数据的DInSAR技术,结合高分辨率光学影像解译的综合遥感识别技术可实现滑坡隐患识别。On April 1,2023,China’s first satellite constellation-L-band differential interferometric Synthetic Aperture Radar(L-SAR)-began to test the distribution of interferometric SAR data for natural resource applications.To evaluate the coherence and effectiveness of deformation monitoring using the L-SAR satellite for areas with high vegetation coverage,complex terrain,and long-term baseline,this study conducted potential landslide hazard identification in the Ankang area in the eastern Qinba Mountain.The deformation information of the study area was extracted using L-SAR data.Using such information,combined with high-resolution optical images for comprehensive remote sensing identification,this study identified seven potential landslide hazards in the study area through interpretation.Field investigation confirmed that the observed deformation signs in potential landslide hazard areas were consistent with the InSAR monitoring results.The study indicates that the L-SAR satellite enjoys a high interference imaging ability,high imaging quality,and effective deformation monitoring,meeting the demand for deformation monitoring in areas with high vegetation coverage.For mountainous areas with high vegetation coverage,the use of L-band SAR data through DInSAR technology,combined with comprehensive remote sensing identification using high-resolution optical imagery,allows for the effective identification of potential landslide hazards.

关 键 词：L-SAR 滑坡 地质灾害隐患 INSAR 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]