Dead zones are hypoxic regions in aquatic environments where dissolved oxygen levels drop critically low, rendering areas largely uninhabitable for marine life. These phenomena typically result from nutrient pollution, agricultural runoff, and eutrophication processes that trigger excessive algal blooms and subsequent oxygen depletion. Within GIS workflows, dead zone analysis leverages multi-layered geospatial data integration, combining satellite-derived water quality imagery, bathymetric datasets, hydrological models, and oceanographic sensor readings to accurately delineate hypoxic boundaries across spatial and temporal scales. Geospatial analysts apply spatial analysis techniques — including interpolation, raster classification, and change detection — to monitor zone expansion, identify contributing pollution sources, and model nutrient transport pathways through watershed systems. Remote sensing platforms and real-time IoT monitoring networks further enhance data acquisition, enabling continuous mapping of dissolved oxygen gradients across large water bodies. The practical benefits of GIS-driven dead zone assessment include informing environmental regulatory frameworks, supporting fisheries management decisions, optimizing remediation strategies, and providing actionable intelligence for coastal resource planning. This spatial intelligence ultimately enables stakeholders to prioritize intervention areas and measure the effectiveness of conservation efforts over time.