2017
DOI: 10.1007/s13762-017-1288-0
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Investigating effects of land use change scenarios on soil erosion using CLUE-s and RUSLE models

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Cited by 51 publications
(16 citation statements)
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“…The C factor represents the relationship between erosion on bare land and erosion on cultivated land [41] whereas the P factor represents the consequences of soil protection measures such as contouring and terracing [12]. The C and P values were assigned as per the land uses in the vector format [42][43][44][45] (Table 3) and converted to raster format to be used with other factor layers.…”
Section: Ls ¼mentioning
confidence: 99%
“…The C factor represents the relationship between erosion on bare land and erosion on cultivated land [41] whereas the P factor represents the consequences of soil protection measures such as contouring and terracing [12]. The C and P values were assigned as per the land uses in the vector format [42][43][44][45] (Table 3) and converted to raster format to be used with other factor layers.…”
Section: Ls ¼mentioning
confidence: 99%
“…The change in the land use will respond differently to the soil erosion due to monsoon rainfall (Santos et al, 2017;Zare et al, 2017). Radish, potato, and cabbage crop fields are more vulnerable to soil runoff during the heavy rainfall period than the rice paddy and gin- ) estimated for selected major crops with growing characteristics in the Haean basin.…”
Section: Precipitation Trend and Impact On The Water Turbiditymentioning
confidence: 99%
“…De modo más específico, en lo que atañe a la erosión del suelo, las imágenes Landsat han posibilitado el desarrollo de estudios de tipo cualitativo, cuantitativo, simuladores de riesgo de erosión y caracterizadores de la ocupación del suelo, como insumo a los modelos USLE o RUSLE (Buendía-Rodríguez et al, 2008;Drzewiecki et al, 2014;Bernabe et al, 2015;Oliveira et al, 2015;Zare et al, 2017). Otros productos de sensores remotos, como las imágenes SPOT, han sido también utilizadas para estudios de la erosión; un ejemplo es la determinación de la susceptibilidad a deslizamientos desarrollado por Pineda et al (2016).…”
Section: Antecedentes Históricosunclassified