AI-Powered Deforestation Monitoring System
CaseStudy Title: AI-Powered Deforestation Monitoring System
Problem
Nigeria loses over 350,000 hectares of forest every year due to illegal logging, urban expansion, and agriculture. Monitoring deforestation in real time is difficult due to limited ground-based observation capacity.
Solution by StrikeClimate
Developed an AI-driven deforestation detection system using high-resolution satellite imagery (Sentinel-2, PlanetScope). Used deep learning algorithms to detect forest loss and illegal logging activity. Integrated an alert system that notifies conservation agencies when deforestation hotspots are detected.
Features:
- Detects forest loss and illegal logging activity
- Provides real-time alerts for deforestation hotspots
- Supports targeted reforestation efforts
Technologoes:
- High-resolution satellite imagery (Sentinel-2, PlanetScope)
- Deep learning algorithms
- Alert system for conservation agencies
Impact
- Provided real-time insights to government agencies and environmental organizations to combat deforestation
- Increased efficiency in tracking illegal logging by 70%
- Supported efforts to restore degraded lands through targeted reforestation
Need a solution like this? Let's talk.
Get a free 30-minute scoping session with our geospatial team. No obligation.