This project aimed to identify and classify swampy areas within Assin North using advanced geospatial techniques. A Digital Elevation Model (DEM) was first processed to derive Topographic Wetness Index (TWI) and slope, identifying potential low-lying, water-retaining zones.

To complement this, cloud-free satellite imagery (Landsat mosaics) was used to compute the Normalized Difference Water Index (NDWI), highlighting surface moisture and water bodies. These terrain and satellite-based indicators were reclassified and combined using a Weighted Overlay Analysis, where each factor (TWI, slope, NDWI, flow accumulation, and depression depth) was assigned a relative importance score.

The results were categorized into Dry Zones, Seasonal Swamps, and Permanent Swamps, and validated through field surveys. Final outputs were visualized in ArcGIS Pro and migrated into an ArcGIS Dashboard for interactive exploration and analysis. The project provides a valuable tool for environmental planning, agricultural zoning, and hydrological studies in the region.