Comparing roughness maps generated by five roughness descriptors for LiDAR-derived digital elevation models

arXiv:2312.17407v2 Announce Type: replace
Abstract: Terrain surface roughness, often described abstractly, poses challenges in quantitative characterisation with various descriptors found in the literature. This study compares five commonly used roughness descriptors, exploring correlations among their quantified terrain surface roughness maps across three terrains with distinct spatial variations. Additionally, the study investigates the impacts of spatial scales and interpolation methods on these correlations. Dense point cloud data obtained through Light Detection and Ranging technique are used in this study. The findings …

abstract arxiv challenges correlations cs.cv digital eess.iv five found generated lidar literature maps quantitative spatial study surface type