Mapping soil erosion–prone sites through GIS and remote sensing for the Tifnout Askaoun watershed, southern Morocco

2021 ◽  
Vol 14 (9) ◽  
Author(s):  
Abdellaali Tairi ◽  
Ahmed Elmouden ◽  
Lhoussaine Bouchaou ◽  
Mohamed Aboulouafa
Keyword(s):  
Remote Sensing ◽  
Soil Erosion ◽  
Gis And Remote Sensing

Regional soil erosion risk mapping using RUSLE, GIS, and remote sensing: a case study in Miyun Watershed, North China

2010 ◽  
Vol 63 (3) ◽  
pp. 533-541 ◽  
Author(s):  
Tao Chen ◽  
Rui-qing Niu ◽  
Ping-xiang Li ◽  
Liang-pei Zhang ◽  
Bo Du
Keyword(s):  
Remote Sensing ◽  
Soil Erosion ◽  
North China ◽  
Risk Mapping ◽  
Gis And Remote Sensing ◽  
Erosion Risk ◽  
Soil Erosion Risk

Soil Erosion Risk and Flood Behaviour Assessment of Sukhnag catchment, Kashmir Basin: Using GIS and Remote Sensing

2018 ◽  
Vol 07 (01) ◽  
Author(s):  
Umair Ali ◽  
Syed Ahmad Ali ◽  
Javed Ikbal ◽  
Mannan Bashir ◽  
Mohsen Fadhl ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Soil Erosion ◽  
Gis And Remote Sensing ◽  
Erosion Risk ◽  
Soil Erosion Risk ◽  
Kashmir Basin

Soil erosion risk assessment of the Keiskamma catchment, South Africa using GIS and remote sensing

2011 ◽  
Vol 65 (7) ◽  
pp. 2087-2102 ◽  
Author(s):  
Paidamwoyo Mhangara ◽  
Vincent Kakembo ◽  
Kyoung Jae Lim
Keyword(s):  
South Africa ◽  
Remote Sensing ◽  
Risk Assessment ◽  
Soil Erosion ◽  
Gis And Remote Sensing ◽  
Erosion Risk ◽  
Soil Erosion Risk

scholarly journals Potential Soil Loss Estimation and Erosion-Prone Area Prioritization Using RUSLE, GIS, and Remote Sensing in Chereti Watershed, Northeastern Ethiopia

2021 ◽  
Vol 14 ◽  
pp. 117862212098581
Author(s):  
Ajanaw Negese ◽  
Endalkachew Fekadu ◽  
Haile Getnet
Keyword(s):  
Remote Sensing ◽  
Soil Erosion ◽  
Conservation Planning ◽  
Water Conservation ◽  
Soil Loss ◽  
Rainfall Erosivity ◽  
Gis And Remote Sensing ◽  
Soil Erosion Rate ◽  
Conservation Measures ◽  
Prone Area

Soil erosion by water is the major form of land degradation in Chereti watershed, Northeastern Ethiopia. This problem is exacerbated by high rainfall after a long period of dry seasons, undulating topography, intensive cultivation, and lack of proper soil and water conservation measures. Hence, this study aimed to estimate the 23 years (1995-2018) average soil erosion rate of the watershed and to identify and prioritize erosion-vulnerable subwatersheds for conservation planning. The integration of the revised universal soil loss equation (RUSLE), geographic information system, and remote sensing was applied to estimate the long-term soil loss of the watershed. The RUSLE factors such as rainfall erosivity ( R), soil erodibility ( K), topography ( LS), cover and management ( C), and support and conservation practices ( P) factors were computed and overlayed to estimate the soil loss. The result showed that the annual soil loss rate of the watershed ranged up to 187.47 t ha−1 year−1 in steep slope areas with a mean annual soil loss of 38.7 t ha−1 year−1, and the entire watershed lost a total of about 487 057.7 tons of soil annually. About 57.9% of the annual watershed soil loss was generated from 5 subwatersheds which need prior intervention for the planning and implementation of soil conservation measures. The integrated use of RUSLE with GIS and remote sensing was found to be indispensable, less costly, and effective for the estimation of soil erosion, and prioritization of vulnerable subwatersheds for conservation planning.

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