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1.四川省地质工程勘察院集团有限公司,四川 成都,610072
2.成都理工大学地质灾害防治与地质环境保护全国重点实验室,四川 成都,610059
3.北京兴遥数据科技有限公司,北京,102211
Received:06 July 2023,
Published:05 July 2025
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闫开云,李江,许强,等.综合遥感精准解译红层岩质滑坡四维特征:以垮梁子滑坡为例[J].武汉大学学报(信息科学版),2025,50(7):1404-1414.
YAN Kaiyun,LI Jiang,XU Qiang,et al.Accurate Interpretation of Four-Dimensional Characteristics of Red-Bed Rock Landslide by Comprehensive Remote Sensing:Taking Kualiangzi Landslide as an Example[J].Geomatics and Information Science of Wuhan University,2025,50(7):1404-1414.
闫开云,李江,许强,等.综合遥感精准解译红层岩质滑坡四维特征:以垮梁子滑坡为例[J].武汉大学学报(信息科学版),2025,50(7):1404-1414. DOI:10.13203/j.whugis20230118
YAN Kaiyun,LI Jiang,XU Qiang,et al.Accurate Interpretation of Four-Dimensional Characteristics of Red-Bed Rock Landslide by Comprehensive Remote Sensing:Taking Kualiangzi Landslide as an Example[J].Geomatics and Information Science of Wuhan University,2025,50(7):1404-1414. DOI:10.13203/j.whugis20230118
红层滑坡具有隐蔽性强、突发性高、成因机理复杂等特点,人工地面调查或单一遥感手段难以对其精准解译。以垮梁子特大型红层岩质滑坡为例,采用机载激光雷达(light detection and ranging,LiDAR)、光学遥感、合成孔径雷达干涉测量(interferometric synthetic aperture radar,InSAR)综合遥感技术,对滑坡标志三维空间形态、滑坡水平方向及沿雷达视线方向时空变形演化规律的综合四维特征开展精准解译。结果表明,LiDAR成果解译出滑坡边界与裂缝33条、鼓丘5处、垮塌3处;采用多时相光学影像数据结合高分辨率数字高程模型山体阴影图,捕捉典型特征点变形位移,解译了研究区53 a内时空演化规律,最大水平位移量为40 m,位于滑坡中部;小基线集、干涉图堆叠时序InSAR技术破译滑坡中部近年来持续抬升,最大抬升速率为55 mm/a。研究成果可实现对红层岩质滑坡四维特征的精准解译,为红层地区滑坡灾害识别与防治提供指导。
Objectives
2
Due to the characteristics of red-bed landslide
such as strong concealment
high suddenness and complex formation mechanism
it is difficult to accurately interpret the landslide by artificial ground survey or single remote sensing method.
Methods
2
Taking Kualiangzi super-large red-bed rock landslide as an example
light detection and ranging (LiDAR)
optical remote sensing and interferometric synthetic aperture radar (InSAR) comprehensive remote sensing technologies are used to accurately interpret the comprehensive four-dimensional characteristics of the three-dimensional spatial form of landslide signs
the horizontal direction of landslide and the spatio-temporal deformation evolution law in the line of sight direction.
Results
2
LiDAR results have interpreted 33 landslide boundaries and cracks
5 drums and 3 collapses. Multi-temporal optical image data were combined with high-resolution digital elevation model hillshade map to capture the deformation and displacement of typical feature points
and interpret the spatio-temporal evolution law of the study area in 53 years. The maximum horizontal displacement is 40 m
which is located in the middle of the landslide. The InSAR technique of small baseline subsets and interferometer stacking shows that the central part of the landslide has been continuously uplifted in recent years
and the maximum uplifting rate is 55 mm/a.
Conclusions
2
The research results can accurately interpret the four-dimensional characteristics of red-bed rock landslide
and provide guidance for the identification and prevention of landslide disasters in red-bed areas.
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