AI & Environment Resource HubAmazon IA · Publication date unknown
A developing Amazon-wide biodiversity monitoring initiative that aims to combine field observations, satellite data and AI to inform conservation and restoration decisions.
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Amazon IA. Date unknown. Amazon.ia — Inteligencia Ambiental. https://www.amazoniainteligenciaambiental.org/en-us/ (AI & Environment Resource Hub; record atlas-d5beea2514ef; collection snapshot 2026-10-04).
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Source sheet: Tool · Row 325 · Original ID: Not supplied.
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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; 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
UC Berkeley capstone project using machine learning and an interactive map to model coral reef health under environmental scenarios.
Shared topics: Research tools and geospatial methods; Biodiversity and ecosystems
This preprint develops a method for connecting multimodal Earth embeddings to domain-specific language, helping explain species-distribution predictions through habitat descriptions and interpretable ecological concepts.