干旱区生态环境知识资源中心(Arid): Integration of RUSLE Model, Remote Sensing and GIS Techniques for Assessing Soil Erosion Hazards in Arid Zones

Arid

DOI	10.3390/agriculture13010035
	Integration of RUSLE Model, Remote Sensing and GIS Techniques for Assessing Soil Erosion Hazards in Arid Zones
	Abdelsamie, Elsayed A.; Abdellatif, Mostafa A.; Hassan, Farag O.; El Baroudy, Ahmed A.; Mohamed, Elsayed Said; Kucher, Dmitry E.; Shokr, Mohamed S.
通讯作者	Shokr, MS
来源期刊	AGRICULTURE-BASEL
EISSN	2077-0472
出版年	2023
卷号	13 期号:1
英文摘要	Soil erosion constitutes one of the main environmental and food security threats, derived from the loss of its productive capacity. With the help of remote sensing (RS), geographic information systems (GIS), and a revised version of the universal soil loss equation (RUSLE), this research has mostly focused on measuring the potential soil erosion hazard and soil water conservation ratio (SWCR) in the El-Minia region of Egypt. Based on the integration of S2A images and the digital elevation model (DEM), geomorphological units of the study area were identified. The RUSLE model includes parameters that allow for mapping soil erosion, such as rain erosivity, soil erodibility, slope length and steepness, soil cover and management, and soil conservation practices. The outcomes revealed that the classes of annual erosion rates of the study area are those of slight erosion, low erosion, moderate erosion and moderately high erosion, which represent percentages of 29%, 18%, 33% and 20%, respectively, of the total area. The rate of erosion decreases from east to west. The main erosion factors in the research area are the low vegetation cover and the high slope values. This study highlights the utility of combining the classic RUSLE equation with techniques such as remote sensing (RS) and geographic information systems (GIS) as a basis for assessing current erosion conditions in arid environments and, specifically, for the application of soil management patterns aimed at increasing soil organic matter and any other soil conservation actions. The findings of this study can be used by policymakers to implement soil conservation measures if development projects are to proceed in areas with a high risk of soil erosion. The approach described here is therefore adaptable to similar environments in arid regions.
英文关键词	soil erosion modeling revised universal soil loss equation dryland region remote sensing GIS
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000914114700001
WOS关键词	GEOGRAPHIC INFORMATION-SYSTEM ; LANDSAT 8 ; ATMOSPHERIC CORRECTION ; NORTHWEST COAST ; RIVER-BASIN ; SENTINEL-2 ; RISK ; QUALITY ; CATCHMENT ; REGION
WOS类目	Agronomy
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395124
推荐引用方式 GB/T 7714	Abdelsamie, Elsayed A.,Abdellatif, Mostafa A.,Hassan, Farag O.,et al. Integration of RUSLE Model, Remote Sensing and GIS Techniques for Assessing Soil Erosion Hazards in Arid Zones[J],2023,13(1).
APA	Abdelsamie, Elsayed A..,Abdellatif, Mostafa A..,Hassan, Farag O..,El Baroudy, Ahmed A..,Mohamed, Elsayed Said.,...&Shokr, Mohamed S..(2023).Integration of RUSLE Model, Remote Sensing and GIS Techniques for Assessing Soil Erosion Hazards in Arid Zones.AGRICULTURE-BASEL,13(1).
MLA	Abdelsamie, Elsayed A.,et al."Integration of RUSLE Model, Remote Sensing and GIS Techniques for Assessing Soil Erosion Hazards in Arid Zones".AGRICULTURE-BASEL 13.1(2023).