Advanced Forest Mapping and Tree Species Identification


At forestmap.ai, we harness cutting-edge remote sensing and machine learning technologies to provide advanced forest monitoring, tree species identification, and biodiversity conservation solutions. Our services focus on using high-resolution UAV imagery, hyperspectral data, and deep learning techniques to map tropical forests with precision, identifying individual tree crowns and classifying species, which enables informed decision-making for conservation and forest management.

What we provide

Individual Tree Crown Delineation

Using our custom-built detectree2 model, we accurately delineate individual tree crowns from high-resolution aerial RGB imagery. This service provides forest managers and researchers with precise data on tree locations, crown dimensions, and canopy structure. Our methodology has been tested in diverse tropical forests, achieving up to a 74% accuracy for the tallest trees, essential for tracking tree growth and mortality. This tool is invaluable for carbon stock assessments, ecosystem monitoring, and targeted conservation efforts.

Species Mapping Using Hyperspectral Data

In combination with hyperspectral imaging, we offer tree species identification services across tropical landscapes. By analyzing spectral signatures, our machine learning algorithms can classify a wide range of tree species. We integrate spatial and spectral data to deliver accurate maps that highlight species diversity, enabling biodiversity monitoring, habitat mapping, and species-specific conservation strategies. With an overall species classification accuracy of 75%, this service provides robust, actionable data for forest management.

Temporal Forest Monitoring

We can leverage multi-date UAV imagery to track changes in forest structure over time. This fusion of temporal data allows us to monitor tree growth, mortality, and phenological changes with greater accuracy than traditional methods. By stacking imagery collected over six months, our models improve accuracy in crown delineation by 9%, ensuring more reliable long-term monitoring for forest health and resilience to climate change.

Forest Biodiversity and Conservation Insights

Our services are designed to provide insights into the biodiversity and ecosystem function of tropical forests. We combine tree crown mapping and species classification with phylogenetic analysis to understand how diversity influences ecosystem processes such as carbon storage and resilience to environmental changes. This data is vital for conservation organizations aiming to protect key species and preserve ecological balance.

Always rooted in the latest science

Read more in these peer reviewed articles:

Ball, J. G. C., Hickman, S. H., Jackson, T. D., Koay, X. J., Hirst, J., Jay, W., … & Coomes, D. A. (2023). Accurate delineation of individual tree crowns in tropical forests from aerial RGB imagery using Mask R‐CNN. Remote Sensing in Ecology and Conservation, 9(5), 641-655.

Ball, J. G. C., Jaffer, S., Laybros, A., Prieur, C., Jackson, T. D., Madhavapeddy, A., ... & Coomes, D. (2024). Harnessing temporal and spectral dimensionality to map and identify species of individual trees in diverse tropical forests. bioRxiv, 2024-06. (in review)