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首页> 外文会议>World Multidisciplinary Civil Engineering-Architecture-Urban Planning Symposium >The Use of Lidar Data and VHR Imagery to Estimate the Effects of Tree Roots on Shallow Landslides Assessment
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The Use of Lidar Data and VHR Imagery to Estimate the Effects of Tree Roots on Shallow Landslides Assessment

机译：利用LIDAR数据和VHR图像来估计树根对浅层滑坡评估的影响

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The study of geo-hazards has been benefited from the technological advances in the field of Remote Sensing (RS) techniques as the ALS (Airborne Laser Scanners) Systems with Very High Resolution (VHR) cameras.Recently,the LiDAR (Light Detection and Ranging) is an active sensor technique used for a variety of geoscientific applications including slope monitoring to retrieve ground surface displacements at high spatial resolution.Additionally,LiDAR has been widely used in order to collect high-resolution information on forests structure for the determination and characterization of vegetation cover due its ability to capture multiple returns and to reach the ground,even in forested areas,allowing the generation of Digital Terrain Models (DTMs) for the estimation of forest variables.In this paper,a LiDAR dataset and VHR imagery from aerial survey was used in the southwest zone of Medellin City-Colombia where the most frequent landslides are shallow and triggered by rainfall.Slopes with gradients up to 30% on residual soils characterize the study area,having about of 30% of forest cover consisting predominantly of Eucalyptus and Coniferous forests.For the estimation of the tree roots effects on the shallow landslides assessment on a natural slope,interpolation processes were developed from the LiDAR 3D point cloud,obtaining DTMs of 1 m-pixel.Additionally,orthophotos with the same spatial resolution were acquired in the aerial campaign.The proposed workflow was implemented on a GIS platform,and considers the extraction of the tree heights by generating a Canopy Height Model (CHM),while for the delineation of the tree crown a process of image segmentation was developed.Once the vegetation has been characterized using LiDAR products and dendrometric relationships,the Limit Equilibrium Method (LEM) was used to evaluate slope stability considering the effect of vegetation (trees).The results indicate that the proposed workflow allows to obtain adequate stability indicators for the estimation of tree roots contribution and additionally,this RS technique allows saving resources in this kind of analysis.
机译：地理危害的研究已从遥感（RS）技术领域的技术进步中受益，作为具有非常高分辨率（VHR）相机的ALS（空气激光扫描仪）系统的技术进步。即LIDAR（光检测和测距）一种有源传感器技术，用于各种地球电景应用，包括斜坡监测，以在高空间分辨率下检索地面位移。分发，LIDAR已被广泛使用，以便收集有关森林结构的高分辨率信息，以便确定和表征植被覆盖其捕获多个回报的能力，即使在森林区域，也允许生成数字地形模型（DTMS）来估计森林变量。在本文中，航空调查中的LIDAR数据集和VHR图像用于麦德林市 - 哥伦比亚的西南区，最常见的山体滑坡是浅层和触发的雨量。与grapeslopes在残留的土壤上高达30％的人表征了研究区域，具有大约30％的森林覆盖，主要是桉树和针叶林组成。估计树根对天然坡面的浅层滑坡评估，插值过程是从LIDAR 3D点云开发，获得1 M-Pixel的DTM。在空中运动中获取了具有相同空间分辨率的矫正器。所提出的工作流程在GIS平台上实施，并考虑了树高的提取产生树冠高度模型（CHM），而对于树冠的描绘，开发了图像分割的过程。通过LIDAR产品和树枝状动率的特征是植被的特征，限制平衡方法（LEM）用于评估斜率考虑到植被（树木）效果的稳定性。结果表明，所提出的工作流程允许获得足够的稳定性指标R估计树根贡献，另外，该RS技术允许在这种分析中节省资源。

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