2009
DOI: 10.1016/j.geomorph.2009.06.009
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Soil erosion risk scenarios in the Mediterranean environment using RUSLE and GIS: An application model for Calabria (southern Italy)

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Cited by 255 publications
(167 citation statements)
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“…With advances in GIS, the USLE/RUSLE model can be applied to complex terrain by subdividing a catchment into spatial homogeneous polygons, to evaluate the average annual soil loss for different land-use conditions, to predict the spatial heterogeneity of soil erosion, and to provide a basis for soil conservation planning Shi et al 2004;Wang et al 2007;Xu et al 2009). Using RUSLE and GIS application model, Terranova et al (2009) studied soil erosion risk scenarios of Calabria in southern Italy. In Chinese Loess Plateau, Pan and Wen (2014) estimated soil erosion of Caijiamiao watershed in Gansu province.…”
Section: Introductionmentioning
confidence: 99%
“…With advances in GIS, the USLE/RUSLE model can be applied to complex terrain by subdividing a catchment into spatial homogeneous polygons, to evaluate the average annual soil loss for different land-use conditions, to predict the spatial heterogeneity of soil erosion, and to provide a basis for soil conservation planning Shi et al 2004;Wang et al 2007;Xu et al 2009). Using RUSLE and GIS application model, Terranova et al (2009) studied soil erosion risk scenarios of Calabria in southern Italy. In Chinese Loess Plateau, Pan and Wen (2014) estimated soil erosion of Caijiamiao watershed in Gansu province.…”
Section: Introductionmentioning
confidence: 99%
“…Because of the lack of information regarding post-fire C factor values and the link with fire intensity, we considered only the case of high severity burns. For C α c , C β c and C γ c we applied equispaced values in the range from 0.5 to 0.2 [59,73,74], representing the maximum and minimum degradation of the cover factor due to the fire.…”
Section: Rapid Assessment Of Wildfire Impactsmentioning
confidence: 99%
“…Multi-temporal aerial photo interpretation and field surveys provided data for distinguishing between active (32%) and dormant (68%) landslides. Additionally, this diachronic analysis showed that landslide deposits may have quickly been reworked by slope-wash processes and/or reshaped by anthropogenic activity (Terranova et al, 2009;Iovine et al, 2010). By simplifying the Varnes (1978) classification, the landslides were mapped on the basis of the type of movement as follows: falls, slides, flows and complex landslides.…”
Section: Slope Landformsmentioning
confidence: 99%