RICCOM/kiambu-ardhikodi

# 🇰🇪 Kiambu County Spatial Revenue Optimization Engine ## Sub-County Pilot Audit (Ruiru/Juja Area) A geospatial intelligence platform that uses **satellite imagery, Google Earth Engine, and machine learning-based spatial analysis** to identify potential property development changes and revenue leakage opportunities for county governments. The platform analyzes multi-temporal satellite imagery to detect new developments, compare spatial changes against valuation records, and generate an audit trail for property rates optimization. --- # 🚀 Project Overview County governments rely heavily on property rates and land-based revenue. However, rapid urban expansion often creates challenges: - New buildings may not appear in valuation databases - Property extensions may not be captured - Informal developments may escape taxation - Manual inspections are expensive and slow The **Kiambu County Spatial Revenue Optimization Engine** provides an automated approach by combining: - Satellite remote sensing - Geospatial analytics - Change detection algorithms - Property valuation data matching - Interactive dashboards The goal is to help counties discover potential revenue gaps and prioritize field verification. --- # 🎯 Objectives The system aims to: ✅ Detect new spatial developments using satellite imagery ✅ Identify potential unregistered properties ✅ Create a property rates audit trail ✅ Reduce dependence on manual inspections ✅ Improve county revenue collection efficiency ✅ Provide data-driven urban planning insights --- # 🏗️ System Architecture User | | Streamlit Dashboard | | Python Processing Layer | +------------+-------------+ | | | | Google Earth Engine Revenue Engine | | | | Sentinel Satellite Valuation Database Imagery Matching | | Change Detection | | Spatial Anomaly Detection | | Audit Report --- # 🛠️ Technology Stack ## Frontend | Technology | Purpose | |---|---| | Streamlit | Interactive GIS das …