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滑坡灾害InSAR应急排查技术方法研究

刘星洪 姚鑫 周振凯 李凌婧 姚佳明

刘星洪, 姚鑫, 周振凯, 等, 2018. 滑坡灾害InSAR应急排查技术方法研究. 地质力学学报, 24 (2): 229-237. DOI: 10.12090/j.issn.1006-6616.2018.24.02.024
引用本文: 刘星洪, 姚鑫, 周振凯, 等, 2018. 滑坡灾害InSAR应急排查技术方法研究. 地质力学学报, 24 (2): 229-237. DOI: 10.12090/j.issn.1006-6616.2018.24.02.024
LIU Xinghong, YAO Xin, ZHOU Zhenkai, et al., 2018. STUDY OF THE TECHNIQUE FOR LANDSLIDE RAPID RECOGNITION BY INSAR. Journal of Geomechanics, 24 (2): 229-237. DOI: 10.12090/j.issn.1006-6616.2018.24.02.024
Citation: LIU Xinghong, YAO Xin, ZHOU Zhenkai, et al., 2018. STUDY OF THE TECHNIQUE FOR LANDSLIDE RAPID RECOGNITION BY INSAR. Journal of Geomechanics, 24 (2): 229-237. DOI: 10.12090/j.issn.1006-6616.2018.24.02.024

滑坡灾害InSAR应急排查技术方法研究

doi: 10.12090/j.issn.1006-6616.2018.24.02.024
基金项目: 

中国地质调查局工作项目 DD20179282

中国地质调查局工作项目 DD20160272

国家自然科学基金项目 41672359

国家自然科学基金项目 41731287

详细信息
    作者简介:

    刘星洪(1994-), 女, 硕士, 主要从事地质灾害与InSAR研究。E-mail:811981187@qq.com

    通讯作者:

    姚鑫(1978-), 男, 博士, 教授级高工, 主要从事地质灾害与InSAR研究。E-mail:yaoxingphd@163.com

  • 中图分类号: P694;P642.22

STUDY OF THE TECHNIQUE FOR LANDSLIDE RAPID RECOGNITION BY INSAR

  • 摘要: 研究探索了一条以InSAR变形为主,辅助光学遥感、地貌和地质条件特征,进行活动性滑坡快速排查的技术方法,并以四川省雷波县域为例进行了实验。应用4种SAR数据(PALSAR-1升轨、Sentinel-1 A/B升、降轨和PALSAR-2降轨数据)进行合成孔径雷达干涉(Interferometric Synthetic Aperture Radar,InSAR)处理,共解译活动性地质灾害163处,并分析了其时空分布规律,获得了几点认识:(1)InSAR技术能够追溯滑坡长期微小变形,从而实现活动性滑坡的有效识别;(2)多时段、多角度和多分辨率SAR数据的综合使用,可以有效克服滑坡观测的阴影叠掩、失相干等问题,提高滑坡(尤其是高位滑坡)识别的效果、效率和时效性;(3)与地面调查结果比较,InSAR识别的滑坡更全面、规模更准确,对高位滑坡和集中分布滑坡识别更有效,可以作为现今地质灾害排查的重要手段之一;(4)雷波县地质灾害主要分布在金沙江及美姑河沿岸,北向坡和30°~40°坡度是地质灾害高发区,除寒武系、奥陶—志留系地层发生地质灾害比例较高,其它各地层总体分布较均一。

     

  • 图  1  雷波县区位图

    Figure  1.  Location of Leibo County

    图  2  滑坡灾害InSAR排查的工作流程图

    Figure  2.  Work flow chart of landslide detection by InSAR

    图  3  SAR数据覆盖范围及滑坡解译图

    a—PALSAR-1;b—PALSAR-2;c—Sentinel-1 A/B升轨;d—Sentinel-1 A/B降轨

    Figure  3.  Coverage area of SAR data and interpretation map of landslides

    图  4  灾害综合图

    Figure  4.  Comprehensive map of hazards

    图  5  分幅影像解译图

    a—PALSAR—1升轨;b—PALSAR—2降轨;c—Sentinel—1 A/B升轨;d—Sentinel—1 A/B降轨。

    Figure  5.  Interpretation map of iframing images

    图  6  滑坡灾害点坡度分布统计图

    Figure  6.  Statistical graph of hazard sites according to gradient

    图  7  滑坡灾害点坡向分布统计图

    Figure  7.  Statistical graph of hazard sites according to aspect

    图  8  滑坡在不同地层岩性中分布的比例

    O-Shx—奥陶—志留系红石崖组—回星哨组碳酸盐岩及碎屑岩;∈—寒武系筇竹寺组—娄山关组泥页岩、粉砂岩、砂岩、灰岩、白云岩(底部含磷);O-Sd—奥陶—志留系红花园组/大路寨组并层页岩、笔石页岩、灰岩夹钙质页岩、钙质砂岩、白云岩;T3C—上三叠统宝顶组/白果湾组陆相长石石英砂岩、粉砂岩、泥岩夹煤;P2-3s—中—上二叠统树河组/梁山组—宣威组/黑泥哨组下部为砂页岩、灰岩、白云岩,上部为拉斑玄武岩偶含砂页岩;T1-2PLF—下—中三叠统飞仙关组—雷口坡组台地相以灰岩、白云岩为主,底部为页岩,顶部岩溶角砾岩;P2-3x—中上二叠统梁山组/峨眉山组—宣威组并层砂岩夹页(泥)岩、煤层,灰岩及玄武岩;Z—震旦系观音崖组—灯影组白云岩,底为砂岩、页岩;T1PLF—下三叠统东川组/飞仙关组—嘉陵江组台地相,以灰岩、白云岩为主,底部页岩;J2—中侏罗统千佛岩组—沙溪庙组,灰—紫红色泥岩、粉砂岩、砂岩夹灰岩;T1MS—下三叠统飞仙关组浅海相紫红色泥(页)岩夹灰岩;J1—下侏罗统自流井组/新田沟组紫红色泥岩、砂岩、粉砂岩夹灰岩、泥灰岩

    Figure  8.  Percentage of landslides in different strata and lithologies

    图  9  地面调查的雷波县地质灾害点

    Figure  9.  Geological hazard sites in Leibo County through field survey

    图  10  InSAR解译滑坡点与地面调查滑坡对照

    Figure  10.  Comparison between landslides detected by InSAR and those surveyed in field

    表  1  所选数据类型及卫星传感器基本参数

    Table  1.   The selected data type and main parameters of the satellite sensor

    星载SAR系统 波长/cm 极化方式 观测方向 数据日期 平均基线/m 侧视角/(°) 分辨率/m 灾害个数
    PALSAR-1 L(23.6) HH 升轨 2007-07-07、2007-08-22、2007-08-22、2008-01-07、2008-04-08、2008-05-24、2009-01-09、2009-02-24、2009-08-27、2010-01-12、2010-02-27、2011-01-15和2011-03-02 299 38.74 12 75
    PALSAR-2 L(23.8) HH 降轨 2016-10-22和2017-01-28 56 39.66 3.0 81
    Sentinel-1 A/B C(5.6) VV 升轨 2016-01-07和2017-03-08 45 33.91 15 11
    Sentinel-1 A/B C(5.6) VV 降轨 2016-12-03和2017-12-27 30 33.95 15 34
    下载: 导出CSV
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出版历程
  • 收稿日期:  2017-10-30
  • 修回日期:  2017-12-02
  • 刊出日期:  2018-04-28

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