Landscape dynamics from LiDAR data time series
Landscape dynamics from LiDAR data time series
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LiDAR 数据时间序列的景观动态
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
M. Overton
中科院分区：
文献类型：
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作者：
H. Mitásová;E. Hardin;M. Starek;R. Harmon;M. Overton
我们提出了一个基于激光雷达技术获取的高程数据时间序列的地表动力学特征的多维框架。所提出的方法综合了线特征、曲面和体积分析。提出了一种新的、成本最小的海岸沙丘脊和沙丘趾提取方法，以支持自动特征演化分析。对DEM时间序列进行逐单元统计，提取稳定的景观核心，绘制地表动态程度图。探索了时空立方体中地形演变的体素表示，并将其用于轮廓演变的可视化。利用过去十年机载激光雷达数据的时间序列，将该框架应用于障壁岛动力学分析。基于地面激光雷达测量和水流模式，研究了野外尺度的高程变化。利用有形地理空间建模系统研究了地形改造对流型的影响。
We propose a multidimensional framework for characterization of land surface dynamics based on time series of elevation data acquired by LiDAR technology. The proposed methods integrate line feature, surface and volume analysis. A novel, least cost path approach for coastal dune ridge and dune toe extraction is presented to support automated feature evolution analysis. Per-cell statistics is applied to DEM time series to extract the stable landscape core and map the extent of land surface dynamics. Voxel representation of terrain evolution within spacetime cube is explored and used to visualize contour evolution. The framework is applied to analysis of barrier island dynamics using time series of airborne LiDAR data acquired over the past decade. Field-scale elevation change is studied based on terrestrial LiDAR surveys and flow patterns. Impact of terrain modification on flow pattern is investigated using Tangible Geospatial Modeling System.