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tnyqu/nigeria-feasibility-analysis

Domaine:

environment and energygeospatial

Type de record:

project
Créateur:
tny
HĂ´te:
mangrove restoration feasibility analys # 🌊 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. ## 📋 Table of Contents - Overview - Project Area - Analysis Modules - Quick Start - Installation - Usage - Results - Technical Details - Documentation - Contributing - License ## 🎯 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 ## 📍 Project Area - **Location**: Ondo State, Nigeria (coastal region) - **Size**: 49,573 Ha (495.73 km²) - **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 ## 📊 Analysis Modules ### 1. 🌱 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 …