Point Density Variations in Airborne Lidar Point Clouds

被引:12
|
作者
Petras, Vaclav [1 ]
Petrasova, Anna [1 ]
McCarter, James B. [2 ]
Mitasova, Helena [1 ,3 ]
Meentemeyer, Ross K. [1 ,2 ]
机构
[1] North Carolina State Univ, Ctr Geospatial Analyt, 2800 Faucette Dr,Campus Box 7106, Raleigh, NC 27695 USA
[2] North Carolina State Univ, Dept Forestry & Environm Resources, 2820 Faucette Dr,Campus Box 8001, Raleigh, NC 27695 USA
[3] North Carolina State Univ, Dept Marine Earth & Atmospher Sci, 2800 Faucette Dr,Campus Box 8208, Raleigh, NC 27695 USA
关键词
airborne lidar; laser scanning; point density pattern; nonuniform point distribution; geospatial mapping; remote sensing; surface topography; MULTITEMPORAL LIDAR; FIRE BEHAVIOR; FOREST; CLASSIFICATION; GENERATION; RESOLUTION; SIMULATION; PARAMETERS; DYNAMICS; GROWTH;
D O I
10.3390/s23031593
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
In spite of increasing point density and accuracy, airborne lidar point clouds often exhibit point density variations. Some of these density variations indicate issues with point clouds, potentially leading to errors in derived products. To highlight these issues, we provide an overview of point density variations and show examples in six airborne lidar point cloud datasets that we used in our topographic and geospatial modeling research. Using the published literature, we identified sources of point density variations and issues indicated or caused by these variations. Lastly, we discuss the reduction in point density variations using decimations, homogenizations, and their applicability.
引用
收藏
页数:18
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