We support NGOs, carbon project developers, and conservation organizations with advanced tools to map forests, track biodiversity, and forecast deforestation. Our remote sensing and AI models turn complex data into clear decisions for climate, compliance, and sustainability.
AI-Powered Forest Monitoring for a Changing Planet
Disturbance Forecasting
Convolutional neural networks can harness time-series data to forecast deforestation patterns. By predicting where and when deforestation is likely to occur, organizations can take proactive measures to protect critical areas, reduce environmental impact and enhance supply chain transparency.
Tree Mapping
AI can map tree species from remote sensing data, even in diverse tropical forests. This helps organizations prioritize conservation, restore forests, and manage land sustainably, ensuring compliance with biodiversity regulations and promoting responsible resource management.
Data Development
Through our knowledge of how to expertly combine data sources, we deliver precise, multi-scale insights into tropical forest dynamics, ensuring accurate monitoring of forest health, biodiversity, and carbon storage. We can help develop the data coverage at your sites to enable precise, impactful action.
Project Planning
By tracking forest carbon stocks, companies can manage carbon offsets and reduce deforestation impacts. Biodiversity mapping helps protect ecosystems, ensuring that conservation efforts are prioritized and that supply chains remain environmentally responsible.
Harness the power of AI and remote sensing
At forestmap.ai, we specialize in providing cutting-edge AI-driven solutions for forest monitoring and mapping. Led by Dr. James Ball, a University of Cambridge scientist specializing in remote sensing and tropical ecology, our consultancy is at the forefront of integrating advanced computer vision techniques with remote sensing technologies to deliver accurate, actionable insights on forest ecosystems.
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