Forest insights designed for action

Harnessing the latest scientific techniques, forestmap.ai helps organizations find solutions to monitoring and mapping the world’s forests. We apply cutting-edge deep learning and remote sensing technology to shed light on forests on 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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