Comprehensive identification of potential and old landslides based on optical remote sensing and InSAR technologies: A case study in northwestern Yunnan Province
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摘要:
我国滇西北区域地质灾害频发,主要灾害类型为滑坡,对该区域进行滑坡类地质灾害隐患识别是有效的防灾减灾措施,传统的地质灾害隐患识别手段较为单一,且依赖大量的人力,调查效率较低。利用WordView2、Sentinel-1A、ALOS-2几种遥感卫星数据,进行Stacking-InSAR等技术的处理,得到多种光学卫星影像和InSAR处理的地表形变图,建立滇西北区域潜在滑坡与老滑坡的光学解译标志和InSAR识别标志,并进行多次目视解译和人工交互式解译。依据解译、识别成果,总结识别方法并进行野外调查验证。共识别潜在滑坡与老滑坡696处,为今后滇西北区域地质灾害调查与评价提供新的调查思路和技术参考。
Abstract:Potential geological disasters frequently occur in northwestern Yunnan. Landslide is the main type of geohazard. The identification of landslide in this area is an effective disaster prevention and mitigation measure. The traditional methods of identifying potential geological hazards are relatively single and rely on a large number of manpower and the investigation efficiency are not satisfactory. This paper processes the data from WordView2, Sentinel-1A, and ALOS-2 remote sensing satellite by using the Stacking-InSAR and other technologies, and a variety of optical satellite images and InSAR-processed surface deformation maps were obtained. Optical interpretation signs and InSAR identification signs had undergone multiple visual interpretations and manual interactive interpretations, and based on the interpretation and recognition results, the identification methods are summarized and field investigations were also carried out to verify the results. A total of 806 potential landslides and old landslides were identified, providing new survey ideas and technical references for the future investigation and evaluation of geological disasters in northwestern Yunnan.
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表 1 Sentinel-A雷达数据基本参数
Table 1. Basic parameters of the Sentinel-A radar data
星载SAR系统 Sentinel-1A 所属国家/机构 欧空局 轨道高度/km 693 波长/cm C(5.6) 观测时间间隔/d 12 运行时间 2014—2021 测量变形精度 毫米级 极化方式 HH+HV, VV+VH 地面分辨率/m 集束模式5×5、条带模式5×20
扫描模式20×20、加宽扫描20×40影像幅宽/km 集束模式20、条带模式80
扫描模式250、加宽扫描400表 2 ALOS-2雷达数据基本参数
Table 2. Basic parameters of ALOS-2 radar data
SAR系统参数 参数内容 发射时间 2014年5月 频率/GHz 1.2 重访周期/d 14 拟用拍摄模式 Ultra-Fine 入射角/(°) 29.1~38.2 分辨率/m 3×3 幅宽/km 50 极化模式 HH+HV/VV+VH/HH/VV/HV/VH -
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