mangrove restoration feasibility analys
# π Nigeria Feasibility Analysis
A comprehensive feasibility analysis system for mangrove restoration in Nigeria using Google Earth Engine (GEE). This project provides 5 specialized analysis modules that evaluate different environmental factors critical for restoration planning in the Ondo State coastal region.
## π Table of Contents
- Overview
- Project Area
- Analysis Modules
- Quick Start
- Installation
- Usage
- Results
- Technical Details
- Documentation
- Contributing
- License
## π― Overview
This project implements a comprehensive feasibility analysis framework for mangrove restoration projects in Nigeria. The analysis draws on shared project area assets and uses a consistent pipeline for importing Earth Engine datasets, processing geospatial layers, and exporting summary outputs and visualizations.
### Key Features
- **5 Specialized Analysis Modules**: Soil, Erosion, Sediment Dynamics, Elevation Change, Sea Level Rise
- **Google Earth Engine Integration**: Cloud-based processing for large datasets
- **Interactive Visualizations**: Complete GEE Code Editor scripts for each analysis
- **Comprehensive Documentation**: Detailed technical specifications and usage guides
- **Export Capabilities**: Results exported to Google Drive and GEE assets
## π Project Area
- **Location**: Ondo State, Nigeria (coastal region)
- **Size**: 49,573 Ha (495.73 kmΒ²)
- **GEE Project**: `nigeria-442114`
- **Assets**: All project assets accessible and working
- **Elevation Range**: -1.0m to 21.9m above MSL
- **Mean Elevation**: 3.0m above MSL
## π Analysis Modules
### 1. π± Soil Analysis
**Purpose**: Multi-depth soil texture analysis with suitability scoring for mangrove restoration
- **Dataset**: OpenLandMap Soil Texture Class (6 depths: 0, 10, 30, 60, 100, 200 cm)
- **Resolution**: 250m
- **Methodology**: Enhanced 6-tier suitability scoring system (0-5 scale)
- **Results**: 82.5% of project area has GOOD or better soil conditions
- **Script**: `python scripts/run_soil β¦