Estimation of soil erosion potential using Universal Soil Loss Equation

Spatial prediction of soil erosion risk by remote sensing, GIS and RUSLE approach: a case study of Siruvani river watershed in Attapady valley, Kerala, India

“…The result of the present study, carried out in the Siruvani watershed, forming a part of the Attappadi valley, indicates a maximum erosion rate of 14.917 t h -1 year -1 . The result of the present analysis which is comparable with similar studies in different parts of the world, where similar geo-climatological/topographic conditions prevail (Chandramohan and Durbude 2002;Flugel et al 2003;Lu et al 2004;Nasir et al 2006), validates the scalability of the proposed method and approaches. During the analysis, it was also noted that the soil loss estimation and its validation for large area is often difficult and erroneous, unless highquality reference datasets were used.…”

Land use and land cover changes in the Brazilian Cerrado: A multidisciplinary approach to assess the impacts of agricultural expansion

“…It was applied with the aid of a Geographical Information System (GIS) to spatialize and integrate the factors. The benefits of using GIS capabilities for implementing and extrapolating USLE model over larger areas (though it was originally conceived for a local scale) have already been demonstrated (Chandramohan & Durbude, 2002;Fernandez, Wu, Mccool, & Stockle, 2003;Lu, Li, Valladares, & Batistella, 2004;Vezina et al, 2006). The calculated soil losses were divided by suggested tolerable soil loss values (obtained in the literature), for the different soil types, in order to assess erosion risks or the soil losses above a tolerable soil loss limit (Cavalieri, 1998, p. 127;Projeto EcoAgri, 2006).…”

Integration of Earth Observation Data and Spatial Approach to Delineate and Manage Aeolian Sand-Affected Wasteland in Highly Productive Lands of Haryana, India

“…The high population pressure, fast urbanization, rapid industrialization, and extensive agriculture have put great stresses on land resources, resulting into the substantial reduction in agricultural area and natural resources [4]. Tremendous population pressure is also leading to deforestation and resource degradation that has disturbed ecological balance of terrestrial ecosystems [5,6]. Hence, quantitative information about the nature, degree of extent, and spatiotemporal distribution of affected soils of India and the world is needed.…”

“…Thus, the up-to-date and appropriate information about location and spatial extent of vacant/wastelands has played very important role for better planning of afforestation and treatment to eradicate the negative effects of land degradation [11,12]. Hence, there is great demand to identify and reclaim these degraded lands in many countries [6] and in district of Sirsa of Haryana [13,14].…”

“…International Journal of Geophysics that can be studied more accurately using geospatial techniques (Saha 1990, [15][16][17]). Many studies have proven the applications of Remote Sensing and GIS in monitoring and management of natural resources [6,[18][19][20]. Remote sensed data sets are used widely in studies, namely, groundwater [21], lake and wetlands [22,23], land use/land cover mapping [24,25], land use/land cover modeling [26,27], crop suitability (Mustak et al 2013), urban land use dynamics, forest mapping [28], soil characterization [29], slope estimation [30], landscape ecology [31], and watershed management [32].…”