Geospatial technology, with its most advanced and cutting-edge tools, has transformed watershed study by providing spatial data for characterizing and modeling watershed characteristics. This study used geospatial hydrological modeling to characterized geohydrological systems in order to better understand the hydrological dynamics and potential point locations for locating water reservoirs. The approaches used include statistical computation of land resources using Sentinel 2 in Google Earth Engine, as well as spatial analysis of hydrological systems utilizing digital elevation model data for stream network analysis. A multi-criteria decision analysis was used to identify and choose potential reservoir sites, taking into account topography, stream order, catchment area, and slope. These locations were chosen as strategic points for prospective water harvesting structures based on their hydrological characteristics and potential storage capacity. Watershed hydrological features are influenced by a variety of elements, including topography, land use, soil type, geology, and climate. This study clearly identified and delineated eighteen (18) prospective watersheds in the state, ranging in area from 204.77 to 4159.74 Km2 and covering a total of 20,592.31 Km2. More than half (50%) of these watersheds had circularity ratios between 0.4 and 0.5, indicating irregular shape, moderate run-off, and high permeability. The streams in the area feature a dendritic network that flows primarily NE-SW, in conformity with the Nigerian regional lineament, demonstrating structural control and acting as conduits for groundwater recharge. The tectonic pressures that formed the failed triple-arm rifting system, which resulted in the Niger and Benue river valleys and sedimentary basins, have had a significant structural influence in these places. The land resources in the area suggest that forests dominated the state, covering 15694.2366 km2. The prospective watersheds in the state have the ability to irrigate approximately 2,271.23km2 of agricultural land. The result also revealed that twelve (12) secondary watersheds were located at the confluence, with sizes ranging from 0.006 to 337.53 Km2 with the capacity to irrigate 718.51 km2 of agricultural land. These watersheds indicate an abundance of undiscovered water resources throughout the state and near the confluence, necessitating innovative management for enhanced food production. The absence of dams in the state demonstrates underutilization of the hydrological potentials inherent in both the state and the confluence. This study suggests effective collaboration with investors and to deploy cutting-edge watershed management technologies and irrigation infrastructure to support farming clusters in participating communities. As a result, Nigeria’s food security position will be greatly improved for sustainability and aid in the attainment of SDGs 2 and 6.