首页|基于无人机遥感影像的滑坡形态变形特征:以陇南白龙江流域泻流坡滑坡为例

基于无人机遥感影像的滑坡形态变形特征:以陇南白龙江流域泻流坡滑坡为例

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2020年8-9月陇南白龙江流域泻流坡滑坡持续发生变形,严重威胁坡脚居民生命财产安全.以泻流坡滑坡为研究对象,基于高分辨率无人机影像提取了泻流坡滑坡滑动前后的正射影像和数字地表模型,利用COSI-Corr软件对滑动前后的两期影像进行相关性分析,计算得到滑坡表面特征点的偏移量信息,并通过DSM(digital surface model)的方法获取垂直向的变化量,最后对泻流坡滑坡的运动和物质变化进行了解译和分析,探讨了中高山峡谷区堆积层滑坡形成演化过程及破坏机制.研究结果表明:泻流坡滑坡变形区主要为滑源区左侧中下部和右侧次级滑坡,垂向最下滑移量5.89 m,平均水平位移6.24 m,滑源区近42%区域发生了形变;2020年6-9月,泻流坡滑坡滑动体积33 871 m3,堆积体积10 215 m3,降雨侵蚀体积23 656 m3;破坏模式为倾倒拉裂-蠕滑复合型滑坡.无人机高精度数据不仅可以清楚直观地识别滑坡形变破坏迹象,还可以进行地表垂直位移、水平位移、体积变化及滑动前后剖面的计算,为抢险救灾、科学决策提供了重要依据,具有广阔的应用前景.
Morphological Deformation Characteristics of Landslide Based on UAV Imagery:Taking Xieliupo Landslide in Bailong River Basin of Longnan as an Example
From August to September 2020,the Xieliupo landslide in the Bailong River basin in Longnan continued to deform,seri-ously threatening the life and property safety of residents at the foot of the slope.Xieliupo landslide was taken as the research object.Based on the high-resolution UAV(unmanned aerial vehicle)imagery,the orthophoto images and digital surface models before and af-ter the sliding of the Xieliupo landslide were extracted,of which the correlation was analyzed by COSI-Corr software.The offset infor-mation of the characteristic points on the landslide surface was calculated,and the vertical variation was obtained through the DSM(digital surface model)difference method.Finally,the movement and material change of the Xieliupo landslide were understood and analyzed,and the formation and evolution process and failure mechanism of the colluvial landslide in the middle and high mountains and valleys were discussed.The research results show that the deformation area of Xieliupo landslide is mainly the left middle and lower part of the slip source area and the right secondary landslide.The maximum vertical sliding displacement is 5.89 m,the average hori-zontal displacement is 6.24 m,and nearly 42%of the slip source area has been deformed.From June to September 2020,the sliding volume of torrential slope landslide is 33 871 m3,the accumulation volume is 10 215 m3,the rainfall erosion volume is 23 656 m3,and the failure mode is a creeping-tension type thrust load-caused landslide.UAV high-precision data can not only clearly and intui-tively identify the signs of landslide deformation and damage,but also calculate the surface vertical displacement,horizontal displace-ment,volume change and the profile before and after sliding,which provides an important basis for rescue and disaster relief,scientific decision-making,and has broad application prospects.

UAVCOSI-Corrdifferential DSMevolutionary characteristicsXieliupo landslide

陈远铭、叶振南、陈宗良、王高峰

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中国建筑材料工业地质勘查中心河北总队,保定 071051

中国地质调查局水文地质环境地质调查中心,保定 071051

无人机 COSI-Corr 差分DSM 演化特征 泻流坡滑坡

中国地调局地质调查项目

DD20221747

2024

科学技术与工程
中国技术经济学会

科学技术与工程

CSTPCD北大核心
影响因子:0.338
ISSN:1671-1815
年,卷(期):2024.24(7)
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