Sunday, 18 August 2019

GIS and RS for soil loss estimation using

Research paper review

Background and Goal of paper
Thus, an attempt was made to estimate and map the spatial pattern of annual soil loss rate by water using Revised Universal Soil Loss Equation (RUSLE) simulated by GIS and Remote sensing techniques. Therefore, this research has given answers to four core research questions; how much of soil is lost per unit area of land annually in Koga watershed? How is the spatial distribution of soil loss rate in Koga watershed? Does the estimated soil loss rate exceed the tolerable limit of soil erosion set by FAO? And where are erosion hotspot areas located for conservation prioritization?
Methodology  and Results
To calculate the Soil loss in this koga watershed (KW) a Revised Universal Soil Loss Equation (RUSLE) is used , empirically expressed as
            A (metric tons ha-1 year-1) = L*S*R*K*C*P

where A is the mean annual soil loss (metric tons ha1 year1 ); R is the rain fall erosivity factor [MJ mm h-1 ha-1 year-1]; K is the soil erodibility factor [metric tons ha-1 MJ-1mm-1]; LS is the slope length–steepness factor (dimensionless); C is the cover and management factor (dimensionless, ranges from zero to one); and P is the erosion support practice or land management factor (dimensionless, and ranges from zero to one).
Raster map of each RUSLE parameters derived from different data source were produced and finally the Soil Loss Map was generated 

Soil loss estimation using GIS and Remote sensing techniques: A case of Koga watershed, Northwestern Ethiopia. H.S. Gelagay, A.S. Minale / International Soil and Water Conservation Research 4 (2016) 126–136.

Review by,
Kamran ullah Khan 

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