Course
AI for Climate & NatureTech Training
Learn how to apply artificial intelligence, remote sensing, and spatial intelligence to solve real-world environmental challenges.
Tool · source-verified
EarthMap
Food and Agriculture Organization of the United Nations (FAO) · Publication date unknown
Earth Map is an innovative, free and open-source tool developed by the Food and Agriculture Organization of the United Nations (FAO) in the framework of the FAO - Google partnership. It was created to support countries, research institutes, farmers and members of the general public with internet access to monitor their land in an easy, integrated and multi-temporal manner. It allows everyone to visualize, process and analyze satellite imagery and global datasets on climate, vegetation, fires, biodiversity, geo-social and other topics. Users need no prior knowledge of remote sensing or Geographical Information Systems (GIS).
Show citation
Food and Agriculture Organization of the United Nations (FAO). Date unknown. EarthMap. https://earthmap.org/login (AI & Environment Resource Hub; record atlas-591d76d3dae3; collection snapshot 2026-09-15).
Classification and context
Included in the original Tool collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.
topic
lifecycle
orientation
Unclassified
Available source metadata
- Author or creator
- Food and Agriculture Organization of the United Nations (FAO)
- Publisher
- Unknown or not supplied
- Publication date
- Unknown or not supplied
- Date precision
- unknown
- Geographic scope
- Unknown
- Access
- free
- Language
- unknown
- Peer review
- unknown
- Source status
- verified
- Last verified
- 2026-09-15T16:45:54.393Z
- Snapshot import
- 2026-09-06
- Legacy domain
- Cross-Cutting Sustainability
- Legacy subdomain
- Unknown or not supplied
Provenance and review
Source sheet: Tool · Row 149 · 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.
Suggest a correction for this record →Related through shared environmental topics
Ordered by the number of shared provisional topic labels. This indicates a browsing connection, not agreement between sources.
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Shared topics: Cross-cutting sustainability; Governance and society; Climate and greenhouse gases; Biodiversity and ecosystems
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AI and Machine Learning in Optoelectronics for Global Sustainability
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