In this study, we assess the soil erosion susceptibility at the sub-basins scale using remote sensing data with the integration of the Geographical Information System (GIS) for the Netravati river basin in Western Ghats, India. The Cartosat digital elevation model was used for the calculation of morphometric parameters, and Landsat satellite images were used for land cover classification. The whole river basin was divided into five sub-basins for identifying the spatial variation of morphometric parameters and different land use categories. A weighted sum approach (WSA) was used for the ranking of each morphometric parameter and land use types. Then each sub-basin was assigned as very low, low, medium, high, and very high priority ranking. The final prioritization map based on the combined (morphometric and land cover) analysis showed erosion susceptibility is very high for sub-basin 4, high for sub-basin 2, medium for sub-basin 5, low for sub-basin 1, and very low for sub-basin 3. Further, the soil erosion susceptibility analysis has been done separately for morphometric and land cover at the sub-basins scale. The results of this study will be useful for the water resource manager and policymaker while considering the soil erosion-prone areas in the region, and the methodology can be adapted for other river basins.

在这项研究中，我们使用遥感数据和印度西高止山脉内特拉瓦蒂河流域的地理信息系统（GIS）的集成，对亚流域尺度上的土壤侵蚀敏感性进行了评估。Cartosat数字高程模型用于计算形态参数，Landsat卫星图像用于土地覆盖分类。将整个流域划分为五个子流域，以识别形态参数的空间变化和不同的土地利用类别。加权总和法（WSA）用于对每个形态计量参数和土地利用类型进行排名。然后，将每个子流域分配为非常低，低，中，高和非常高的优先级。基于组合（形态和土地覆盖）分析的最终优先级分布图显示，亚流域4的侵蚀敏感性很高，亚流域2的侵蚀敏感性很高，亚流域5的侵蚀敏感性很低，亚流域1的侵蚀敏感性很低，非常子流域3的土壤侵蚀敏感性分析。另外，在子流域规模上对形态和土地覆盖率分别进行了土壤侵蚀敏感性分析。这项研究的结果将对水资源管理者和决策者有用，同时考虑该地区水土流失易发地区，并且该方法可适用于其他流域。