Quantifying the Relationship between Slope Spectrum Information Entropy and the Slope Length and Slope Steepness Factor in Different Types of Water-Erosion Areas in China

• Published in: Remote sensing (Basel, Switzerland) Vol. 16; no. 15; p. 2816
• Main Authors: Xu, Fujin, Zhao, Weijun, Yan, Tingting, Qin, Wei, Zhang, Guanghe, Fang, Ningning, Xu, Changchun
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2024
• Subjects: Analysis; China; Classification; Distribution patterns; Entropy; Entropy (Information theory); Erosion rates; Geographic information systems; Geographical distribution; Geospatial data; Information processing; Quantitative analysis; Regions; Remote sensing; slope length and slope steepness factor; slope spectrum information entropy; Slopes; Soil erosion; spatial data; Spatial distribution; topographic slope; Topography; Water conservation; water erosion; Water resources; water-erosion areas; Canada; China; Loess Plateau

Topography critically affects the occurrence of soil erosion, and computing slope spectrum information entropy (SSIE) allows for the convenient mirroring of the patterns of macroscopic topographic variation. However, whether SSIE can be effectively utilized for the quantitative assessment of soil er...