首页> 外文OA文献 >SUITABILITY OF DIGITAL ELEVATION MODELS GENERATED BY UAV PHOTOGRAMMETRY FOR SLOPE STABILITY ASSESSMENT (CASE STUDY OF LANDSLIDE IN SVÄTÝ ANTON, SLOVAKIA)
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SUITABILITY OF DIGITAL ELEVATION MODELS GENERATED BY UAV PHOTOGRAMMETRY FOR SLOPE STABILITY ASSESSMENT (CASE STUDY OF LANDSLIDE IN SVÄTÝ ANTON, SLOVAKIA)

机译:坡度稳定性评估中的无人机摄影测量模型的适用性(Svätýnanton,斯洛伐克Svätīandslide的案例研究)

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摘要

Assessing the accuracy of photogrammetrically-derived digital elevation models (DEMs) from UAV is essential in many geoscience disciplines. The suitability of different DEM devised for slope stability assessment was evaluated in the example of the landslide in Svätý Anton village in Slovakia. Aerial data was acquired during a one-day field campaign in autumn 2014. The point cloud from 218 images (54,607,748 points) was manually classified into 7 different classes for filtering vegetation cover and buildings. Assessment of vertical differences between the UAV derived elevation model and real terrain surface was based on comparison of control points targeted by GPS (337 points) and unclassified and ground classified point cloud for raster elevation models with 1, 5, 10, 20 and 50 cm pixel resolution.
机译:评估从UAV的摄影测量衍生的数字高度模型(DEM)的准确性在许多地球科学学科中是必不可少的。设计用于坡度稳定性评估的不同DEM的适用性在斯洛伐克的SvätīAnton村的山体滑坡的例子中进行了评估。在2014年秋季的一天野外活动期间获得了空中数据。从218张图像(54,607,748分)的点云被手动分类为7种不同的阶级,用于过滤植被覆盖和建筑物。从GPS(337点)和未分类和地面分类点云进行比较,提供了一种由GPS(337点)和栅格升降模型的控制点的比较,评估垂直差异基于带有1,5,10,20和50厘米的光栅高程模型的比较像素分辨率。

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