AI & Environment Resource HubAuthor or publisher unknown · Publication date unknown
Applying cutting-edge AI and robotics to make trees a viable, economical carbon sequestration solution.
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Author unknown. Date unknown. Gaia AI. https://www.linkedin.com/company/gaiaai/posts/?feedView=all (AI & Environment Resource Hub; record org-591; collection snapshot 2026-10-04).
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Source sheet: Organization · Row 594 · Original ID: org-591.
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Shared topics: Research tools and geospatial methods; Climate and greenhouse gases; Biodiversity and ecosystems
Founded at Harvard and MIT, Coolant is building forestry MRV that is as accurate as LiDAR at the price of hand measurement. We use only aerial drone footage to model reforestation sites with cutting edge computer vision techniques and calculate individual tree carbon stock. In recent studies with the Ocean Foundation, we've reached over 95% accuracy of LiDAR for their mangrove restoration sites.
Shared topics: Research tools and geospatial methods; Biodiversity and ecosystems
A developing Amazon-wide biodiversity monitoring initiative that aims to combine field observations, satellite data and AI to inform conservation and restoration decisions.
Shared topics: Research tools and geospatial methods; Biodiversity and ecosystems
Ai2's interactive guide demonstrates OlmoEarth satellite embeddings through landscape similarity, change detection and land-cover examples, and links to a free, no-sign-in global embeddings explorer.
Shared topics: Research tools and geospatial methods; Climate and greenhouse gases
A review of 60 national adaptation plans submitted by developing countries evaluates plan coverage and consistency and identifies gaps in monitoring, participation and financing.