The assessment of water-borne erosion at catchment level using GIS-based RUSLE and remote sensing: A review

• Published in: International Soil and Water Conservation Research Vol. 7; no. 1; pp. 27 - 46
• Main Authors: Phinzi, Kwanele, Ngetar, Njoya Silas
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.03.2019; KeAi Communications Co., Ltd
• Subjects: erodibility; Geographic Information System (GIS); geographic information systems; rain; Remote sensing; Revised Universal Soil Loss Equation; Revised Universal Soil Loss Equation (RUSLE) parameters; Soil erosion; space and time; topography; water conservation; watersheds; Soil erosion; Geographic Information System (GIS); Revised Universal Soil Loss Equation (RUSLE) parameters; Remote sensing

Soil erosion is a direct product of the complex interactions between natural and anthropogenic factors. Such factors vary over space and time, making the assessment of soil erosion even more difficult. Empirical erosion models such as the Revised Universal Soil Loss Equation (RUSLE) provides a rathe...