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ADAPTA Earth

Author or publisher unknown · Publication date unknown

Adaptix Earth provides cutting-edge geospatial analytics and biodiversity risk assessment to help organizations make informed environmental decisions.

Source identity and required public metadata were editorially reviewed on 2026-09-15.

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Author unknown. Date unknown. ADAPTA Earth. https://www.adapta.earth/ (AI & Environment Resource Hub; record atlas-c888dbedc720; 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.

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topic

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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
Unknown
Access
free
Language
unknown
Peer review
unknown
Source status
verified
Last verified
2026-09-15T00:00:00.000Z
Snapshot import
2026-09-06
Legacy domain
Cross-Cutting Sustainability
Legacy subdomain
Unknown or not supplied

Provenance and review

Selected fields checked: title, canonical_url · 2026-09-06. The current official site identifies ADAPTA Earth and its AI-enabled climate-risk work, correcting the former name and domain. Verification source ↗

Alternate source links

Source sheet: Tool · Row 152 · Original ID: Not supplied.

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Inclusion does not establish effectiveness, maintenance, or endorsement. Check access and current documentation. Source link has not yet been checked. 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; 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; Research tools and geospatial methods; Biodiversity and ecosystems

Course

AI for Climate & NatureTech Training

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

AI for Climate & NatureTech

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

Scientific Paper · 2024-06-17

Deep Learning and Satellite Remote Sensing for Biodiversity Monitoring and Conservation

Deep learning combined with satellite remote sensing enhances biodiversity monitoring and conservation by leveraging big data, but challenges in capacity building, data access, environmental costs, and model interpretability must be addressed for broader adoption.

Deep Learning, Biodiversity Monitoring, Conservation

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

Tool

Earth Index

An AI-powered satellite imagery search platform built by Earth Genome that lets environmental defenders apply labels to train models that detect features anywhere on the planet — illegal mining, large-scale livestock facilities, clandestine airstrips, deforestation, waste sites, and other ecosystem disturbances — in minutes rather than months.

Source metadata availablefreemium