Abstract
“Soil erosion” is a global problem to natural resources and is particularly effective in reducing crop yield because of a loss in soil fertility, while multifunctional reserve storage is depleted due to continuous sedimentation. Accelerated erosion of the soil has detrimental economic and environmental effects. The “soil erosion” risk assessment can be useful in the area where “soil erosion” is the biggest challenge to sustainable agriculture, as the soil is the base of agricultural development. “Soil erosion” models can take into account all of the complex interrelationships that impact erosion rates by modelling hydrologic erosion processes. In order to predict “soil erosion”, most of these models include climate, topography, soil condition, land use and land cover. The generation of input data, too spatial and traditional approaches have proven too expensive and time consuming to generate these input data are the most difficult problems for evaluating these models. The advancement of remote sensing technology has improved the accessibility and cost-effectiveness of spatial information regarding the input parameters. The spatial data processing capabilities of “geographic information systems (GIS)” have contributed to the advancement of robust approaches to “soil erosion modelling”.
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Pal, S.C., Chakrabortty, R. (2022). Introduction to Soil Erosion Study. In: Climate Change Impact on Soil Erosion in Sub-tropical Environment . Geography of the Physical Environment. Springer, Cham. https://doi.org/10.1007/978-3-031-15721-9_1
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