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基于高分辨地形的秦岭山地滑坡特征参数提取分析 被引量:2

Extraction and analysis of characteristic parameters of Qinling Mountains landslide based on high-resolution topography
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摘要 秦岭山地是我国滑坡地质灾害多发区和易发区之一,传统的野外调查方法获取滑坡特征参数往往费时费力,因此我们在校园径流小区对消费级无人机(DJI Phantom 3(4k))进行精度验证的基础上,对秦岭山地单体滑坡展开调查,通过ArcGIS 10.2,Global Mapper等软件提取滑坡特征参数,并对其进行分析。结果表明:①在没有布设地面控制的情况下,无人机能够获取地面水平重复精度0.5m、垂直重复精度0.2m的厘米级高分辨率DOM和DEM;②利用无人机和三维模型重建技术与GIS空间分析技术,提取了秦岭山地风枫沟滑坡的高精度几何与地形特征参数,这些参数可以帮助我们很好地解析滑坡高程分布、坡度陡缓、地形起伏以及滑动方向等特征,具有很高的应用价值;③这种新的非接触测量技术具有低成本、安全、快速、高分辨率的优势。 Qinling Mountains is one of areas where landslides are frequent and prone to occur in our country.The traditional field investigation method for landslide characteristic parameters is often time-consuming and strenuous.So monomer landslides in Qinling Mountains are investigated after precision verification of DJI Phantom 3(4k)which was carried out in campus runoff plots.The landslide characteristic parameters are extracted and analyzed by ArcGIS 10.2,Global Mapper and other software.The results show that:①In the absence of ground control points,the UAV can obtain centimeter-level high-resolution DOM and DEM with ground horizontal repetition accuracy of 0.5m and vertical repetition accuracy of 0.2m.②By using UAV,3D model reconstruction technology and GIS spatial analysis technology,the high-precision geometric and topographic characteristic parameters of Fengfenggou landslide in Qinling Mountains are extracted.These parameters can help us to analyze the characteristics of elevation distribution,slope gradient,topographic fluctuation and sliding direction of the landslide,which are of great value.③This new non-contact measurement technology has the advantages of low cost,safety,high speed and high resolution.
作者 郭帅 胡胜 马舒悦 谢婉丽 曹明明 GUO Shuai;HU Sheng;MA Shuyue;XIE Wanli;CAO Mingming(College of Urban and Environmental Science, Northwest University, Xi′an 710127, China;Institute of Earth Surface System and Hazards, Northwest University, Xi′an 710127, China;Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Northwest University, Xi′an 710127, China;State Key Laboratory of Continental Dynamics, Department of Geology, Northwest University, Xi′an 710069, China)
出处 《西北大学学报(自然科学版)》 CAS CSCD 北大核心 2019年第3期456-462,共7页 Journal of Northwest University(Natural Science Edition)
基金 国家自然科学基金资助项目(41771539) 中国科学院国际合作局对外合作重点项目(131551KYSB20160002)
关键词 无人机 滑坡 特征参数提取 秦岭山地 UAVs landslides characteristic parameters extraction Qinling Mountains
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