MitiTrack

Deforestation and uncontrolled wildfires pose a critical threat to global ecosystems, biodiversity, and climate stability. Traditional methods of monitoring forest health and land use changes are often manual, infrequent, and localized, making it difficult for governments, NGOs, and conservationists to respond quickly to emerging threats. Furthermore, organizations lack accessible tools to quantify the environmental impact of these changes, such as estimating carbon capture or calculating the financial value of carbon credits. Without real-time, actionable data on deforestation risks, agricultural expansion, and active wildfires, it is nearly impossible to enforce conservation policies effectively, protect vulnerable habitats, or incentivize sustainable land management practices. A scalable, automated solution is needed to continuously analyze satellite imagery, track forest degradation, and provide actionable insights into the ecological and economic value of global forests.

MitiTrack solves these challenges by combining advanced machine learning, high-resolution satellite imagery, and real-time data integrations into a comprehensive geospatial analytics platform. Built with a modern React frontend and scalable Node.js backend, MitiTrack provides users with an interactive, multi-language map interface to seamlessly monitor target regions globally. At the core of the platform is a custom-trained YOLOv8 computer vision model that analyzes satellite snapshots on-demand. The AI automatically segments and classifies key environmental features, including trees, farmland, buildings, and water bodies. By comparing historical and current satellite data, MitiTrack can accurately detect tree cover loss, calculate deforestation risk scores, and track changes in land use over time. If forest loss exceeds critical thresholds, the system flags the degradation to facilitate rapid intervention. Beyond pure mapping, MitiTrack translates ecological data into actionable financial metrics. The platform calculates estimated carbon assets—utilizing an algorithmic standard of 22kg of CO2 captured per tree annually—and provides real-time valuations of carbon credits to help organizations monetize and incentivize conservation efforts. To combat immediate threats, MitiTrack integrates directly with NASA's FIRMS and GIBS Web Map Service to dynamically overlay Near Real-Time (NRT) thermal anomalies and active wildfire hotspots. All scan results, chronological data trends, and KPI metrics—such as area monitored, carbon assets, and average risk—are aggregated into a comprehensive analytics dashboard, giving stakeholders a centralized command center to monitor, protect, and value forest ecosystems.