Organization · North America
Gaia AI
Applying cutting-edge AI and robotics to make trees a viable, economical carbon sequestration solution.
Organization
Coolant Climate
Author or publisher unknown · Publication date unknown
What it covers
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.
Who it helps
Intended audience has not been documented.
Limitations
Source-specific limitations have not been reviewed. Inclusion and topic labels do not establish effectiveness or reliability.
Show citation
Author unknown. Date unknown. Coolant Climate. https://www.linkedin.com/company/coolantclimate/ (AI & Environment Resource Hub; record org-587; collection snapshot 2026-10-04).
Classification and context
Included in the original Organization collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.
topic
lifecycle
Available source metadata
- Author or creator
- Unknown or not supplied
- Publisher
- Unknown or not supplied
- Publication date
- Unknown or not supplied
- Date precision
- unknown
- Geographic scope
- North America
- Language
- unknown
- Peer review
- unknown
- Source access
- Excluded from automated checks
- Metadata confidence
- Metadata unconfirmed
- Last verified
- Not yet verified
- Snapshot import
- 2026-09-06
- Legacy domain
- Biodiversity & Ecosystems
- Legacy subdomain
- Unknown or not supplied
- source evidence
- Reviewed 2026-10-04. https://www.linkedin.com/company/coolantclimate/ Company describes computer-vision measurement of trees and carbon stocks from drone imagery. Accuracy claims not independently verified. Link check: Primary source content retrieved through web search/open; may be indexed copy.
- metadata reviewed at
- 2026-10-04
Provenance and review
- Source access
- Excluded from automated checks
- Metadata confidence
- Metadata unconfirmed
- Editorial relevance
- Relevance has not been separately reviewed.
- Evidence quality
- Evidence quality has not been separately assessed.
Source sheet: Organization · Row 590 · Original ID: org-587.
Listed location is not necessarily the geographic reach of their work. Presence is not an endorsement. Automated checks excluded by website or access policy. Existing metadata evidence is retained; exclusion is not a quality assessment. The import date is not the original date added.
Suggest a correction for this record →Newsletter appearances
Publication, placement, and evidence are tracked separately. A legacy coverage flag alone does not prove an appearance.
- Issue 25 · published · resource list · Issue evidence ↗
Exact source link in saved original issue resource section: Organizations 🌎️
Related through shared environmental topics
Ordered by the number of shared provisional topic labels. This indicates a browsing connection, not agreement between sources.
Shared topics: Research tools and geospatial methods; Climate and greenhouse gases; Biodiversity and ecosystems
Shared topics: Research tools and geospatial methods; Biodiversity and ecosystems
Tool
Amazon.ia — Inteligencia Ambiental
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
Tool
Another way to view our planet: OlmoEarth embeddings
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
Scientific Paper · 2026-09-02
Assessment and good practices identification among NAPs of developing countries
A review of 60 national adaptation plans submitted by developing countries evaluates plan coverage and consistency and identifies gaps in monitoring, participation and financing.