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One of the most important hydrological parameters used in the great majority of applications involving land and water assets is runoff. It is a vital aspect to consider soil and water protection practices in a watershed at a smaller scale level. Rainfall-induced runoff is a crucial part of the hydrological cycle. For the design of hydrological structures and drainage systems in watersheds, runoff estimation is essential. Runoff is impacted differentially by various soil types, land uses, and water management techniques. In actual watersheds, runoff is spatially varying due to variations in land use, soils, and weather conditions across the watershed's geographic region. Additionally, the majority of watersheds are a part of bigger drainage basins or larger watersheds made up of numerous smaller watersheds. Every sub-watershed is hydrologically related to the others the basin's various sub-watersheds. In addition, the SCS-CN(NRCS-CN) Natural resources conservation service- curve number model requires a number of necessary inputs, including the Hydrological Soil Characteristics (HSG), precipitation (P), Potential Maximum Retention (PMR), Antecedent Moisture Condition (AMC), and Weighted Curve Number (WCN). Palakonda watershed results are average rainfall in this study area is 1181.6mm and 75%dependable yield in runoff is 263 mm and capacity is74.54 mcft and ayacut area 1065.8 acres and utilization in 159.8 mcft and balance yield is 131.7 mcft in this watershed covered in 110 tanks and peddagadda stream and Nagavali left canal passes through in this area. The issue with conventional methods for calculating runoff can be resolved with the help of remote sensing and GIS technology.