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AI for Climate & NatureTech Training

AI for Climate & NatureTech · Publication date unknown

Learn how to apply artificial intelligence, remote sensing, and spatial intelligence to solve real-world environmental challenges.

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AI for Climate & NatureTech. Date unknown. AI for Climate & NatureTech Training. https://www.ai4naturetech.com/ (AI & Environment Resource Hub; record atlas-dbf07229919d; collection snapshot 2026-09-15).

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Included in the original Course collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.

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AI for Climate & NatureTech
Publication date
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Unknown
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unknown
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unknown
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verified
Last verified
2026-09-15T16:45:32.808Z
Snapshot import
2026-09-06
Legacy domain
Governance, Justice & Society
Legacy subdomain
Unknown or not supplied

Provenance and review

Source sheet: Course · Row 53 · Original ID: Not supplied.

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Availability, fees, and enrollment dates may have changed since collection. 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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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: Cross-cutting sustainability; Governance and society; Research tools and geospatial methods; Climate and greenhouse gases; Biodiversity and ecosystems

Tool

EarthMap

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).

Food and Agriculture Organization of the United Nations (FAO)free

Shared topics: Cross-cutting sustainability; Governance and society; Research tools and geospatial methods; Biodiversity and ecosystems

Scientific Paper · 2025-07-18

A Call for Transdisciplinary Trust in the AI Era

Trust is a cornerstone and enabler of human civilization, determining the very nature of how people interact with each other. The swift integration of artificial intelligence (AI) into daily life poses grand societal challenges and necessitates a reevaluation of trust. Our bibliometric literature review calls for scientists and stakeholders to cross traditional academic boundaries to address emerging and evolving societal challenges arising from AI. We propose a transdisciplinary research framework to understand and bolster trust in AI and address grand challenges in domains as diverse and urgent as misinformation, discrimination, and warfare.

Humanities and Social Science Communications

Shared topics: Cross-cutting sustainability; Governance and society; Climate and greenhouse gases; Biodiversity and ecosystems

Scientific Paper · 2024-12-12

AI and Machine Learning in Optoelectronics for Global Sustainability

AI and ML optimize optoelectronic systems for sustainability by enhancing energy efficiency, renewable energy harvesting, environmental monitoring, and smart cities while also advancing ocean optics and photonics for marine ecosystem monitoring and climate change mitigation.

Library Progress International

Shared topics: Cross-cutting sustainability; Governance and society; Climate and greenhouse gases; Biodiversity and ecosystems

Multimedia · 2024-10-01

AI for Climate and Nature Spring Convening

This recorded livestream includes sessions from leaders within city government, academia, and frontline organizations on addressing climate and nature issues using modern AI.

youtube.com