Risk assessment of soil erosion in semi-arid mountainous watershed in Saudi Arabia by RUSLE model coupled with remote sensing and GIS

2014 ◽  
Vol 29 (8) ◽  
pp. 915-940 ◽  
Author(s):  
Javed Mallick ◽  
Yasser Alashker ◽  
Shams Al-Deen Mohammad ◽  
Mohd Ahmed ◽  
Mohd Abul Hasan
Keyword(s):  
Remote Sensing ◽  
Risk Assessment ◽  
Saudi Arabia ◽  
Soil Erosion ◽  
Remote Sensing And Gis ◽  
Rusle Model ◽  
Mountainous Watershed ◽  
Semi Arid

scholarly journals Terrain Characterization and Soil Erosion Risk Assessment for Watershed Prioritization Using Remote Sensing and GIS (A case study of Nawagaon Maskara Rao Watershed, Saharanpur, India)

2009 ◽  
Vol 23 (1) ◽  
pp. 86
Author(s):  
Beny Harjadi
Keyword(s):  
Remote Sensing ◽  
Risk Assessment ◽  
Land Use ◽  
Soil Erosion ◽  
Soil Conservation ◽  
Soil Loss ◽  
Remote Sensing And Gis ◽  
Erosion Risk ◽  
Soil Erosion Risk ◽  
Conservation Measures

Soil erosion is crucial problem in India where more than 70% of land in degraded. This study is to establish conservation priorities of the sub watersheds across the entire terrain, and suggest suitable conservation measures. Soil conservation practices are not only from erosion data both qualitative SES (Soil Erosion Status) model and quantitative MMF (Morgan, Morgan and Finney) model erosion, but we have to consider LCC (Land Capability Classification) and LULC (Land Use Land Cover). Study demonstrated the use of RS (Remote Sensing) and GIS (Geographic Information System) in soil erosion risk assessment by deriving soil and vegetation parameters in the erosion models. Sub-watersheds were prioritized based on average soil loss and the area falls under various erosion risk classes for conservation planning. The annual rate of soil loss based on MMF model was classified into five soil erosion risk classes for soil conservation measures. From 11 sub watersheds, for the first priority of the watershed is catchment with the small area and the steep slope. Recommendation for steep areas (classes VI, VII, and VIII) land use allocation should be made to maintain forest functions.

Risk assessment of soil erosion by application of remote sensing and GIS in Yanshan Reservoir catchment, China

2015 ◽  
Vol 79 (1) ◽  
pp. 277-289 ◽  
Author(s):  
Yanfang Hu ◽  
Guohang Tian ◽  
Audrey L. Mayer ◽  
Ruizhen He
Keyword(s):  
Remote Sensing ◽  
Risk Assessment ◽  
Soil Erosion ◽  
Remote Sensing And Gis

scholarly journals Impact of Land Cover Change on Soil Erosion Hazard in Northern Jordan Using Remote Sensing and GIS

2013 ◽  
Vol 19 ◽  
pp. 912-921 ◽  
Author(s):  
M.Minwer Alkharabsheh ◽  
T.K. Alexandridis ◽  
G. Bilas ◽  
N. Misopolinos ◽  
N. Silleos
Keyword(s):  
Remote Sensing ◽  
Soil Erosion ◽  
Land Cover ◽  
Land Cover Change ◽  
Remote Sensing And Gis ◽  
Erosion Hazard ◽  
Northern Jordan

scholarly journals Depicting changes in land surface cover at Al-Hassa oasis of Saudi Arabia using remote sensing and GIS techniques

PLoS ONE ◽  
2019 ◽  
Vol 14 (11) ◽  
pp. e0221115 ◽  
Author(s):  
Abdulrahman Mohamed Almadini ◽  
Abdalhaleem Abdalla Hassaballa
Keyword(s):  
Remote Sensing ◽  
Saudi Arabia ◽  
Land Surface ◽  
Remote Sensing And Gis ◽  
Surface Cover ◽  
Gis Techniques
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