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基于光学遥感与InSAR技术的潜在滑坡与老滑坡综合识别

吴明辕, 罗明, 刘岁海. 基于光学遥感与InSAR技术的潜在滑坡与老滑坡综合识别——以滇西北地区为例[J]. 中国地质灾害与防治学报, 2022, 33(3): 84-93. doi: 10.16031/j.cnki.issn.1003-8035.2022.03-10
引用本文: 吴明辕, 罗明, 刘岁海. 基于光学遥感与InSAR技术的潜在滑坡与老滑坡综合识别——以滇西北地区为例[J]. 中国地质灾害与防治学报, 2022, 33(3): 84-93. doi: 10.16031/j.cnki.issn.1003-8035.2022.03-10
WU Mingyuan, LUO Ming, LIU Suihai. Comprehensive identification of potential and old landslides based on optical remote sensing and InSAR technologies: A case study in northwestern Yunnan Province[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(3): 84-93. doi: 10.16031/j.cnki.issn.1003-8035.2022.03-10
Citation: WU Mingyuan, LUO Ming, LIU Suihai. Comprehensive identification of potential and old landslides based on optical remote sensing and InSAR technologies: A case study in northwestern Yunnan Province[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(3): 84-93. doi: 10.16031/j.cnki.issn.1003-8035.2022.03-10

基于光学遥感与InSAR技术的潜在滑坡与老滑坡综合识别

  • 基金项目: 全国地质灾害高易发区灾害隐患识别(0733-20180876)
详细信息
    作者简介: 吴明辕(1997-),男,四川广元人,硕士研究生,研究方向为工程地质勘察与评价。E-mail:401549782@qq.com
    通讯作者: 刘岁海(1971-),男,陕西西安人,副教授,研究方向为工程地质勘察与评价。E-mail: sclsh@163.com
  • 中图分类号: TP79;P642.22

Comprehensive identification of potential and old landslides based on optical remote sensing and InSAR technologies: A case study in northwestern Yunnan Province

More Information
  • 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。

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  • 图 1  Stacking-InSAR数据处理流程图

    Figure 1. 

    图 2  普洱市某县年度形变速率图

    Figure 2. 

    图 3  普洱市某县地表变形图

    Figure 3. 

    图 4  NGGS-006滑坡光学影像

    Figure 4. 

    图 5  上黑水滑坡光学影像

    Figure 5. 

    图 6  LCCY-003滑坡(ALOS-2,201801—201808)

    Figure 6. 

    图 7  LCFQ-005滑坡(Sentinel-1A,201803—201901)

    Figure 7. 

    图 8  LSLS-009滑坡(Sentinel-1A,201702—201905)

    Figure 8. 

    图 9  LCGM-008滑坡(ALOS-2,201808—201908)

    Figure 9. 

    图 10  地表沉降或土地整理导致的“无效变形区”

    Figure 10. 

    图 11  跨越斜坡单元导致的“无效变形区”

    Figure 11. 

    图 12  数据误差导致的“无效变形区”

    Figure 12. 

    图 13  LCGM-005滑坡(Sentinel-1A,201902—201907)

    Figure 13. 

    图 14  LCFQ-010滑坡(ALOS-2,201801—201808)

    Figure 14. 

    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/km693
    波长/cmC(5.6)
    观测时间间隔/d12
    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
    下载: 导出CSV

    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/GHz1.2
    重访周期/d14
    拟用拍摄模式Ultra-Fine
    入射角/(°)29.1~38.2
    分辨率/m3×3
    幅宽/km50
    极化模式HH+HV/VV+VH/HH/VV/HV/VH
    下载: 导出CSV
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出版历程
收稿日期:  2021-04-27
修回日期:  2021-07-01
刊出日期:  2022-06-25

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