Geoinformatics, which integrates geographic information systems (GIS), remote sensing (RS), and global positioning systems (GPS), plays a pivotal role in the assessment and management of surface water resources. Surface water, including rivers, lakes, reservoirs, and wetlands, is a critical resource for domestic, agricultural, industrial, and ecological needs. Accurate assessment of its availability, distribution, and quality is essential for sustainable water management. Geoinformatics provides advanced tools and methodologies to systematically analyze spatial and temporal aspects of surface water, enabling efficient planning, monitoring, and management. Remote sensing techniques allow for continuous observation of surface water bodies over large geographic areas. Satellite sensors such as Landsat, Sentinel-2, MODIS, and RADARSAT provide high-resolution imagery that can detect water extent, seasonal variations, and changes due to human intervention or climate variability. For example, Landsat imagery can be used to monitor changes in lake area over decades, identifying trends in water depletion or expansion. Synthetic Aperture Radar (SAR) sensors, such as those on RADARSAT or Sentinel-1, are particularly useful in detecting surface water under cloudy conditions or in dense vegetation areas, which optical sensors might not effectively capture. GIS provides the