摘要
该文针对滑坡灾害成因复杂性与不确定性等研究难点,聚焦滑坡条件因子提取这一隐患分析基础环节,提出一种基于无人机航测的滑坡条件因子提取方法。无人机航测技术为小范围区域滑坡防灾提供有效技术手段,该研究在此基础上系统阐述多类因子的提取方法,并分析其相关性及其对滑坡影响的显著性。实验结果表明,高程、坡度、坡向、坡度变率、平面曲率、剖面曲率与GLI指数7类因子可有效支持滑坡隐患与成因分析,其中高程、坡度、坡向及GLI指数的影响尤为显著。
Aiming at the research difficulties such as the complexity and uncertainty of the cause of landslide disasters,this paper focuses on the basic link of extracting landslide condition factors,and proposes a method for extracting landslide condition factors based on UAV aerial survey.Unmanned aerial survey technology provides an effective technical means for landslide prevention in small areas.On this basis,this study systematically expounds the extraction methods of multiple types of factors,and analyzes their correlation and significance of their impact on landslides.Experimental results show that seven types of factors,including elevation,slope,aspect,slope variability,plane curvature,section curvature and GLI index,can effectively support the analysis of landslide hazards and causes,among which the impact of elevation,slope,aspect and GLI index is particularly significant.
作者
白子涵
张郁
朱维强
BAI Zihan;ZHANG Yu;ZHU Weiqiang
出处
《科技创新与应用》
2025年第36期39-42,共4页
Technology Innovation and Application
基金
广州市资源规划和海洋科技协同创新中心项目(2023B04J0301,2025B04T0035)。
关键词
无人机航测
滑坡条件因子
滑坡隐患分析
显著性分析
成因分析
UAV aerial survey
landslide condition factor
landslide hidden danger analysis
significance analysis
factor analysis
