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

作     者：Kwanele Phinzi Njoya Silas Ngetar 

作者机构：School of AgriculturalEarth and Environmental SciencesUniversity of KwaZulu-NatalMazisi Kunene RoadGlenwoodDurban 4041South Africa 

出 版 物：《International Soil and Water Conservation Research》 (国际水土保持研究（英文）)

年 卷 期：2019年第7卷第1期

页      面：27-46页

核心收录：

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基　　金：support from the National Research Foundation(NRF) of South Africa 

主　　题：Soil erosion Revised Universal Soil Loss Equation (RUSLE) parameters Geographic Information System (GIS) Remote sensing 

摘      要：Soil erosion is a direct product of the complex interactions between natural and anthropogenic *** factors vary over space and time,making the assessment of soil erosion even more *** erosion models such as the Revised Universal Soil Loss Equation (RUSLE) provides a rather simple and yet comprehensive framework for assessing soil erosion and its causative *** considers rainfall (R),topography (LS),soil erodibility (K),cover management (C),and support practice (P) as important factors affecting soil *** the past few years,RUSLE has benefited tremendously from advances in geospatial technologies like Geographic Information System (GIS) and remote *** this paper,an overview of recent developments on the use of these geospatial technologies in deriving individual RUSLE factors is provided,placing an emphasis on related successes and *** review is expected to improve the understanding of the role played by such technologies in deriving RUSLE parameters despite existing *** research,however,must pay special attention to error assessment of remote sensing-derived RUSLE parameters.