Machine Learning for Land Cover Analysis and Environmental Monitoring

ICT Energy Climate & Environment Pilot
Description

AI-driven geospatial analysis platform using Google Earth Engine(GEE) and custom ML models to automate wetland delineation, land cover change detection, and environmental impact assessment. Reduces analysis time from weeks to days while maintaining 90%+ accuracy using satellite data and ai

Impact

The platform enhances accountability and transparency in environmental decision-making. By automating land cover and wetland change detection, it helps regulators, consultants, and communities identify potential environmental risks early. This reduces project delays, ensures fair treatment of Project Affected Persons (PAPs), and supports compliance with environmental laws. Economically, it cuts assessment costs and time for developers and consultants while improving data quality for international organizations. The result is a more efficient, transparent, and equitable development process.

Target Audience

Environmental organizations and project affected communities

Industrial Value Chains
Industry 4.0+ (smart manufacturing, digital, AI, IoT, robotics) Aeronautics & Space Science
Partnerships

Individual (self-led or personal innovation)

Innovation Details
Stage: Pilot
Funding Status: Self funded
Location: Wakiso
Innovation Date:

May 15, 2025

Contact Information
Kamanda Collins Kamuza
Contact Person:

Kamanda Collins Kamuza

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