摘要
贵州山区是中国地质灾害频发地区,滑坡是其最常见和危害最大的地质灾害。滑坡的监测和预警对于减少人员伤亡和财产损失具有重要意义,然而,传统的滑坡监测方法存在监测范围有限、数据更新周期长以及监测成本高等问题。因此,文章基于无人机贴近摄影测量技术,对贵州山区滑坡的监测建模与智能预警进行研究,将基于贴近摄影测量的裂缝监测作为滑坡监测、预警的重要组成部分,以提高滑坡监测的效率和准确性。
Guizhou mountainous areas are a region with frequent geological disasters in China,and landslide is the most common and harmful geological disaster.Landslide monitoring and early warning is of great significance for reducing casualties and property losses.However,traditional landslide monitoring methods have problems such as limited monitoring scope,long data update cycle and high monitoring costs.Therefore,based on UAV proximity photogrammetry technology,this paper studies the monitoring modeling and intelligent early warning of landslide in Guizhou mountainous areas,and takes the crack monitoring based on proximity photogrammetry as an important part of landslide monitoring and early warning,so as to improve the efficiency and accuracy of landslide monitoring.
作者
张海生
ZHANG Haisheng(Guizhou First Surveying and Mapping Institute,Guiyang 550000,Guizhou,China)
出处
《工程技术研究》
2024年第2期208-210,共3页
Engineering and Technological Research
关键词
无人机
贴近摄影测量
山区滑坡监测
UAV
proximity photogrammetry
mountainous area landslide monitoring