megaorbits/Flood-Risk-Assessment-MCDA.

An end-to-end geospatial pipeline for Multi-Criteria Flood Susceptibility Mapping in the Southern Region of Malawi. Developed using QGIS and the Analytic Hierarchy Process (AHP), this project integrates a 15-parameter matrix (DEM, LULC, TWI, NDVI) to model, analyze, and visualize high-impact regional flood vulnerability zones. # Flood-Risk-Assessment-MCDA. An end-to-end geospatial pipeline for Multi-Criteria Flood Susceptibility Mapping in the Southern Region of Malawi. Developed using QGIS and the Analytic Hierarchy Process (AHP), this project integrates a 15-parameter matrix (DEM, LULC, TWI, NDVI) to model, analyze, and visualize high-impact regional flood vulnerability zones. # Multi-Criteria Flood Susceptibility Mapping using AHP & QGIS ### 📍 Study Area: Southern Region of Malawi ## 📌 Project Overview Flood events pose significant risks to human life, infrastructure, and the environment, making accurate assessment and mitigation strategies crucial. This repository contains an end-to-end geospatial intelligence pipeline designed to model, classify, and visualize regional flood vulnerability. By leveraging **QGIS** and Multi-Criteria Decision Analysis (MCDA) via the **Analytic Hierarchy Process (AHP)**, this study evaluates **15 distinct environmental, hydrological, and anthropogenic parameters**. The final output serves as a robust Spatial Decision Support System (SDSS) framework to drive evidence-based land use planning, emergency response strategies, and community resilience initiatives. --- ## 🗺️ Data Matrix & Preprocessing Pipeline All layers were harmonized, clipped to the Southern Region boundary, resampled to uniform resolutions, and reprojected into the local projected coordinate system (**WGS 84 / UTM Zone 36S**) to preserve absolute distance and area properties. | # | Parameter Dataset | Data Source | Spatial Resolution / Format | Primary Extraction Workflow | | :--- | :--- | :--- | :--- | :--- | | **1** | **Rainfall** | CHIRPS (2022)[cite: 2] | 4 km Raster[cite: 2] | Sourced & preprocessed via Google Earth Engine script blocks[cite: 2]. | | **2** | **DEM** | SRTM USGS[cite: 2] | 30 m Raster[cite: 2] | Sourced from USGS Earth Explorer for topographic base boundaries[cite: 2]. | | **3** | **Slope** | SRTM USGS[cite: 2] | 30 m Raster[cite: 2] | Extracted directly from ba …