Assessment of coastal flood vulnerability in Ghana using GIS and Python. Integrates elevation, distance to coast, and population data to identify high-risk zones and demonstrate geospatial workflows for climate resilience.
# coastal-flood-vulnerability-Ghana
Assessment of coastal flood vulnerability in Ghana using GIS and Python. Integrates elevation, distance to coast, and population data to identify high-risk zones and demonstrate geospatial workflows for climate resilience.
# Coastal Flood Vulnerability Assessment – Ghana
## Overview
This project identifies coastal communities in Ghana that are vulnerable to flooding using geospatial analytics. It combines elevation, distance to coast, and population data to produce risk maps.
## Objectives
- Map coastal areas at high risk of flooding
- Demonstrate GIS-based vulnerability assessment
- Provide visual outputs relevant for climate resilience research
## Data Sources
- Digital Elevation Model (DEM) for Ghana
- Coastline data from OpenStreetMap
- Population and urban settlements datasets
## Methods
- Buffer analysis of coastlines
- Elevation-based vulnerability classification
- Overlay analysis and visualization
## Tools
- Python
- GeoPandas
- Rasterio
- Matplotlib
## Study Area
Coastal regions of Ghana