The information about different morphometric parameters of any watershed is necessary for better watershed management and planning. This study aimed to investigate morphometric characteristics, to assess the soil erosion risk, and to prioritize different sub-watersheds of the Koyna River basin, India, with two different approaches using geospatial technology. Different linear, shape, and relief parameters of the basin were estimated and analyzed. The linear and shape parameters indicated that the basin has less flood hazard. The relief parameters indicated that the basin has moderate roughness and unevenness. The parallel drainage pattern is dominant inside the basin due to the highly elongated nature of the basin. The bifurcation ratio (R_b) indicated lithological and geological variations inside the basin. Two different approaches namely morphometric analysis and empirical Revised Universal Soil Loss Equation (RUSLE) method were applied for prioritization of different sub-watersheds. Rainfall, soil, digital elevation model (DEM), and normalized difference vegetation index (NDVI) data were used for identifying erosion-prone zones with RUSLE analysis. Based on RUSLE analysis, the entire study area was divided into five soil erosion risk classes namely very slight (80.43 %), slight (14.94 %), moderate (3.21 %), severe (0.79 %), and very severe (0.63%), respectively. Most of the study area was found to be under a very slight soil erosion vulnerability class based on the RUSLE approach. The conservation practices should be carried out as per the priority ranking of different sub-watershed based on soil erosion rates. The results found in this study can surely assist in the implementation of soil conservation planning and management practices to reduce soil loss in the Koyna River basin of India.

有关任何流域的不同形态参数的信息对于更好的流域管理和规划都是必不可少的。这项研究旨在调查形态特征，评估土壤侵蚀风险，并通过两种使用地理空间技术的方法，对印度科伊纳河流域的不同子流域进行优先排序。对盆地的不同线性，形状和起伏参数进行了估算和分析。线性和形状参数表明该流域的洪灾危害较小。浮雕参数表明该盆地具有中等粗糙度和不平坦度。由于盆地高度拉长，平行排水模式在盆地内部占主导地位。分叉比（R _b）指示了盆地内部的岩性和地质变化。应用了两种不同的方法，即形态计量学分析和经验修正的通用土壤流失方程（RUSLE）方法，对不同的子流域进行了优先排序。降雨，土壤，数字高程模型（DEM）和归一化植被指数（NDVI）数据用于通过RUSLE分析识别易蚀区域。根据RUSLE分析，整个研究区域分为五个土壤侵蚀风险类别，分别为极轻度（80.43％），轻度（14.94％），中度（3.21％），重度（0.79％）和极重度（0.63％） ， 分别。根据RUSLE方法，发现大多数研究区域都处于非常轻微的水土流失脆弱性等级之下。保护措施应根据土壤侵蚀率根据不同子流域的优先等级进行。这项研究发现的结果无疑可以帮助实施土壤保护规划和管理措施，以减少印度科伊纳河流域的土壤流失。