AI & Environment Resource HubAuthor or publisher unknown · Publication date unknown
Natural language search for satellite and aerial imagery via geo-embeddings — 'search satellite and aerial imagery the way you'd search the web.' Includes a developer API and Discover, a free web app for exploring geospatial data. Applications: biomass measurement, damage mapping, wind/solar farm tracking, oil rig and vessel detection.
Author unknown. Date unknown. LGND AI. https://lgnd.ai/resources/lgnd-ga-launch (AI & Environment Resource Hub; record atlas-06fb7510dfef; collection snapshot 2026-09-15).
Included in the original Tool collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.
Source sheet: Tool · Row 248 · Original ID: Not supplied.
Inclusion does not establish effectiveness, maintenance, or endorsement. Check access and current documentation. Source link reachable · checked 2026-09-15. Source identity and required metadata verified. The import date is not the original date added.
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Shared topics: Cross-cutting sustainability; Research tools and geospatial methods; Agriculture and food
AI enhances precision agriculture through data-driven crop management, irrigation optimization, and pest control, but gaps remain in nutrient management and sensor integration.
Shared topics: Cross-cutting sustainability; Research tools and geospatial methods; Agriculture and food
The study examines how emerging technologies like AI, IoT, machine learning, and remote sensing are revolutionizing agriculture by enabling precision farming, optimizing resource use, and addressing challenges of food production under climatic uncertainty.
Shared topics: Cross-cutting sustainability; Research tools and geospatial methods; Energy and electricity
AI plays a transformative role in achieving net-zero emissions by optimizing energy systems, enhancing climate modeling, and improving sustainability across sectors, while challenges in data, ethics, and governance must be addressed for scalable and effective implementation.
Shared topics: Cross-cutting sustainability; Research tools and geospatial methods; Energy and electricity
Bellwether, an AI-powered climate prediction tool, analyzes Earth observation data to aid disaster preparedness and recovery, with Dr. Sarah Russell leading its efforts at the intersection of business, planetary health, and machine learning.