Timadegbite/obafemi-owode-farmland-suitability

This project presents a GIS-based multi-criteria land suitability analysis developed to identify optimal areas for agricultural expansion within Obafemi Owode Local Government Area (LGA), Ogun State, Nigeria. ### **Farmland Suitability Analysis — Obafemi Owode LGA, Ogun State, Nigeria** This project presents a **GIS-based multi-criteria land suitability analysis** developed to identify optimal areas for agricultural expansion within **Obafemi Owode Local Government Area (LGA), Ogun State, Nigeria**. The analysis integrates terrain, hydrology, soil properties, and accessibility factors to produce a **data-driven farmland suitability model**, supporting informed decision-making for agricultural planning and land acquisition. --- ## **Project Objectives** * Identify highly suitable farmland zones across the LGA * Minimize risks associated with flooding and poor drainage * Evaluate soil conditions for crop productivity * Incorporate accessibility and irrigation potential into land selection * Generate actionable spatial outputs for field validation --- ## **Data Sources** The analysis combines multiple geospatial datasets: * Digital Elevation Model (DEM) * LGA boundary data * SoilGrids data (clay content and soil organic carbon) * Extracted drainage network (from DEM) * OpenStreetMap road network * Derived hydrological layers --- ## **Methodology** The workflow follows a structured geospatial analysis process: ### 1. Terrain Analysis * DEM preprocessing (sink filling) * Slope generation * Terrain characterization ### 2. Hydrological Modeling * Flow accumulation * Stream extraction * Topographic Wetness Index (TWI) * Flood-prone area identification ### 3. Soil Analysis * Depth-weighted aggregation of soil properties (0–30 cm) * Clay content and soil organic carbon evaluation ### 4. Accessibility & Irrigation * Distance to road network (logistics suitability) * Distance to streams (irrigation potential) ### 5. Suitability Modeling All layers were standardized to a common scale (0–1) and combined using a **weighted overlay approach**: | Factor | Description | | --------------- | ------------------------ | | Slope | terrain …