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Machine Learning and Satellite Imagery for Advanced Forest Intelligence – Forest Radar — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
mylokations.com ↗	70 match 1 shared topics	SpectEye: Satellite Imagery & Earth Intelligence	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
altumintelligence.com ↗	70 match 1 shared topics	Altum Intelligence \| AI & Machine Learning Systems Engineering	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
a1ai.io ↗	70 match 1 shared topics	Home - Artificial Intelligence & Machine Learning	en	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
myonsat.com ↗	69 match 1 shared topics	onSAT — Satellite Intelligence for Moving Fleets	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
flyingkitesconsulting.com ↗	69 match 1 shared topics	Flying Kites - Artificial Intelligence, Machine Learning and Data Consultancy	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
zorroa.com ↗	69 match 1 shared topics	Zorroa \| Machine Learning for your Business \| Zorroa Visual Intelligence (ZVI)	en	artificial-intelligence Weebly	robotsllmsaihumans	emailphone	none
alvervalleysoftware.com ↗	68 match 1 shared topics	Alver Valley Software Limited – Computer Vision, Machine Learning and Artificial Intelligence	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
icmres.com ↗	68 match 1 shared topics	International Conference On Artificial Intelligence, Machine Learning and Technology (ICMRES-2026)	en	artificial-intelligence	robotsllmsaihumans	email phone	none
learn-aiml.com ↗	68 match 1 shared topics	AI/ML Books - Premium Collection of Artificial Intelligence & Machine Learning Books	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
aamlai.com ↗	68 match 1 shared topics	Advanced Analytics, Machine Learning, Artificial Intelligence – Sanjeev Kumar, Ross School of Business, University of Michigan	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
silentforestlabs.com ↗	68 match 1 shared topics	Silent Forest Labs - AI & Machine Learning Innovation	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
amazingaiengineering.com ↗	68 match 1 shared topics	Amazing AI Engineering - Advanced Intelligence Systems	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
learningmachines101.com ↗	68 match 1 shared topics	Learning Machines 101 - A Gentle Introduction to Artificial Intelligence and Machine Learning	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
mystherai.com ↗	68 match 1 shared topics	MystherAI - Advanced Artificial Intelligence	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
melba-journal.org ↗	68 match 1 shared topics	MELBA – Machine Learning for Biomedical Imaging	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
castelbrazelbub.net ↗	68 match 1 shared topics	MELBA – Machine Learning for Biomedical Imaging	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
amaletix.com ↗	68 match 1 shared topics	Amaletix \| Data Science \| Analytics \| Artificial Intelligence \| Machine Learning \|	en	artificial-intelligence Wix	robots llmsaihumans	emailphone	none
traeco.dev ↗	67 match 1 shared topics	Traeco — Cost Intelligence for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.