测绘通报 ›› 2024, Vol. 0 ›› Issue (6): 41-45,64.doi: 10.13474/j.cnki.11-2246.2024.0608

• 学术研究 • 上一篇    

利用光学影像的滑坡位移监测

刘卫南1,2, 宋红克1,2, 李清波1,2, 谢谟文3   

  1. 1. 黄河勘测规划设计研究院有限公司, 河南 郑州 450003;
    2. 水利部黄河流域水治理与水安全重点实验室(筹), 河南 郑州 450003;
    3. 北京科技大学土木与资源工程学院, 北京 100083
  • 收稿日期:2023-09-08 发布日期:2024-06-27
  • 作者简介:刘卫南(1993—),男,博士,工程师,主要从事地质灾害防治技术研究。E-mail:grealwn@126.com
  • 基金资助:
    国家重点研发计划(2019YFC1509600)

Landslide displacement monitoring method by optical satellite images

LIU Weinan1,2, SONG Hongke1,2, LI Qingbo1,2, XIE Mowen3   

  1. 1. Yellow River Engineering Consulting Co., Ltd., Zhengzhou 450003, China;
    2. Key Laboratory of Water Management and Water Security for Yellow River Basin, Ministry of Water Resources(Under Construction), Zhengzhou 450003, China;
    3. School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
  • Received:2023-09-08 Published:2024-06-27

摘要: 为充分挖掘光学遥感图像在滑坡监测中的应用潜力,本文基于数字图像相关法推导了适应滑坡非均匀形变和自然光照影响的滑坡位移光学影像计算公式,形成了基于光学影像的滑坡位移监测方法。试验分析了地表形变方式和形变量对滑坡位移光学影像计算公式的影响,给出了地表平移、旋转、扭曲3种不同形变方式下,计算误差的概率累计值变化曲线,证明了该公式95%计算结果的相对误差在0.04以内;利用两期SkySat卫星光学影像计算了某滑坡的平面位移场,分析了该滑坡的表面形变特征。本文研究为滑坡灾害监测预警提供了新的技术参考。

关键词: 滑坡, 监测, 数字图像相关, 光学影像, 遥感

Abstract: In order to fully explore the application potential of optical remote sensing images in landslide monitoring, the article derives the landslide displacement optical image calculation formula based on the digital image correlation method. The formula adapts to the non-uniform deformation of landslides and the influence of natural illumination. Based on this formula, the article establishes a landslide displacement monitoring method based on optical images. The experiment analyzes the influence of the surface deformation mode and the amount of deformation on the calculation formula of landslide displacement optical image, and gives the change curve of the probability cumulative value of the calculation error under three different deformation modes of surface translation, rotation and distortion. The experimental results prove that 95% of the calculation results of the formula are within 0.04 relative error. The article calculates the planar displacement field of a landslide using two-phase SkySat satellite optical images and analyzes the surface deformation characteristics of the landslide. The study provides a new technical reference for landslide disaster monitoring and early warning.

Key words: landslide, monitoring, digital image correlation, optical satellite image, remote sensing

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