The study compares five commonly used roughness descriptors to quantify terrain surface roughness across three terrains with distinct spatial variations. It explores correlations among the quantified roughness maps and investigates the impacts of spatial scales and interpolation methods. The findings emphasize the significance of incorporating multiple descriptors in studies where local roughness values are crucial. Different algorithms yield diverse roughness values, impacting subsequent analyses. The study suggests that the choice of roughness descriptors can influence results significantly, especially in quantitative studies relying on local roughness values.
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by Lei Fan,Yang... alle arxiv.org 03-15-2024
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