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    时序InSAR技术三峡库区藕塘滑坡稳定性监测与状态更新

    史绪国 徐金虎 蒋厚军 张路 廖明生

    史绪国, 徐金虎, 蒋厚军, 张路, 廖明生, 2019. 时序InSAR技术三峡库区藕塘滑坡稳定性监测与状态更新. 地球科学, 44(12): 4284-4292. doi: 10.3799/dqkx.2019.180
    引用本文: 史绪国, 徐金虎, 蒋厚军, 张路, 廖明生, 2019. 时序InSAR技术三峡库区藕塘滑坡稳定性监测与状态更新. 地球科学, 44(12): 4284-4292. doi: 10.3799/dqkx.2019.180
    Shi Xuguo, Xu Jinhu, Jiang Houjun, Zhang Lu, Liao Mingsheng, 2019. Slope Stability State Monitoring and Updating of the Outang Landslide, Three Gorges Area with Time Series InSAR Analysis. Earth Science, 44(12): 4284-4292. doi: 10.3799/dqkx.2019.180
    Citation: Shi Xuguo, Xu Jinhu, Jiang Houjun, Zhang Lu, Liao Mingsheng, 2019. Slope Stability State Monitoring and Updating of the Outang Landslide, Three Gorges Area with Time Series InSAR Analysis. Earth Science, 44(12): 4284-4292. doi: 10.3799/dqkx.2019.180

    时序InSAR技术三峡库区藕塘滑坡稳定性监测与状态更新

    doi: 10.3799/dqkx.2019.180
    基金项目: 

    国家自然科学基金项目 41702376

    国家自然科学基金项目 41774006

    国家自然科学基金项目 41501497

    长江科学院开放研究基金资助项目 CKWV2018482/KY

    中央高校业务经费专项资助 CUG170634

    中央高校业务经费专项资助 NY214197

    详细信息
      作者简介:

      史绪国(1988-), 副教授, 研究方向为星载雷达卫星遥感地质灾害形变监测算法与应用

      通讯作者:

      蒋厚军

    • 中图分类号: P642

    Slope Stability State Monitoring and Updating of the Outang Landslide, Three Gorges Area with Time Series InSAR Analysis

    • 摘要: 坡体表面形变是表征坡体稳定性的重要信息,因此,非常有必要对滑坡多发区域进行时序常规变形监测.近年来,星载合成孔径雷达数据由于其覆盖范围大、形变监测精度高的特点,被越来越多的用于山区滑坡识别与探测.首先介绍了联合分布式目标与点目标的时序InSAR方法,并将该方法应用于分析覆盖三峡藕塘滑坡的2007年至2011年的19景ALOS PALSAR数据和2015年至2018年的47景Sentinel-1数据,提取了数据覆盖时间段内的藕塘地区的变形速率.发现相比于2007年至2011年,2015年至2018年新增三处不稳定斜坡.进一步对滑坡的时序变形分析表明,降雨和水位变化是坡体稳定性最大的两个影响因素.实验证明时序InSAR方法可以作为常规形变手段来识别与监测三峡库区等地区潜在的滑坡,为防灾减灾提供支持与依据.

       

    • 图  1  藕塘滑坡位置

      底图为2018年6月10日获取的Sentinel-2光学数据

      Fig.  1.  Location of the Outang landslide

      图  2  (a) ALOS PALSAR数据干涉图组合;(b) Sentinel-1数据集干涉对组合

      圆圈表示影像数据,直线表示干涉图组合

      Fig.  2.  Interferograms used for time series InSAR analysis ALOS PALSAR (a) and Sentinel-1 (b)

      图  3  利用ALOS PALSAR数据集(a)和Sentinel-1数据集(b)获取的平均速率

      虚线表示两个数据集共同探测到的滑坡范围,实线表示Sentinel-1数据探测到的滑坡.其中实线方框中为图 5所示位置

      Fig.  3.  Mean displacement velocity map obtained from ALOS PALSAR datasets (a) and Sentinel-1 dataset (b)

      图  5  新发现滑坡示例

      a.2010年3月19日Google Earth光学影像;b.2018年4月3日Google Earth光学影像;c.Sentinel-1获取平均形变速率;d.P3点时序形变与降雨和水位

      Fig.  5.  An example of newly detected landslide

      图  4  ALOS PALSAR数据集和Sentinel-1数据集获取的(a)、(c) P1和(b)、(d) P2点形变序列与相应的水位和降雨

      Fig.  4.  Time series displacements of (a), (c) P1 and (b), (d) P2 from ALOS PALSAR dataset and Sentinel-1 dataset and corre sponding rainfall and water level

      图  6  (a) P4和(b) P5点时序形变与降雨和水位

      Fig.  6.  Time series displacement of P4 (a) and P5 (b) and corresponding rainfall and water level

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    • 收稿日期:  2019-05-16
    • 刊出日期:  2019-12-15

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