EUDR · Jul 2026
Why EUDR Compliance Needs Field Verification
Satellite data alone can't clear the negligible risk bar. How ground verification closes the gap between a model and an audit.
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EUDR · CSRD · Carbon MRV
Make your environmental claims audit proof.
Satellite data and AI outputs are predictions, not proof. I verify them on the ground, so your EUDR due diligence, CSRD disclosures and carbon market MRV hold up when a regulator or auditor pushes back.
Experience with WWF, UN Habitat & frontier AI labs
Based in Germany · working globally
2MSc Degrees
6+Years Field Work
24Certifications
4Languages
The Stakes
Getting environmental data wrong is now a regulatory problem.
Three places where a model that looks right on screen becomes a liability on paper, and where field verification closes the gap.
EUDR · in force
Deforestation free, to a negligible risk standard
Operators and traders must prove their commodities are deforestation free. Satellite false positives block legitimate shipments; false negatives turn into legal liability.
Field verification resolves what satellites alone cannot.
CSRD · ESRS E4
Biodiversity disclosure is now assured
Nature and biodiversity reporting faces external assurance. Model only or vague evidence invites qualified opinions and costly restatements.
Ground truthed evidence stands up to assurance.
Carbon MRV
Unverifiable credits get rejected
Registries and buyers increasingly reject MRV that can't be ground truthed. A rejected credit is stranded cost and reputational exposure.
Verifiable MRV protects credit integrity and price.
The Unfair Advantage
Most AI researchers never touch the data.
Most AI researchers never touch the data.
Most field ecologists cannot read a satellite.
I do both, and I translate the gap into verified intelligence your organization can defend.
Field Verified Intelligence
I can read a Sentinel 2 classification, walk the forest plot it represents, and identify precisely what the model got wrong. That gap is where compliance fails and carbon credits get rejected.
AI at the Frontier
Active LLM evaluation at Alignerr and Outlier.ai (Pegasus HLE). I design expert level challenge items that stress test AI reasoning on climate, ecology, and sustainability.
EU Regulatory Expertise
EUDR, CSRD ESRS E4, EU Taxonomy, TNFD, SBTN. From the regulatory text to the field verification protocol, I help you navigate compliance with confidence.
How It Works
From regulatory exposure to audit ready evidence.
A clear, three step engagement, so you know exactly what you're buying before we start.
1
Diagnose the exposure
We map your exact regulatory surface, EUDR, CSRD ESRS E4, EU Taxonomy, carbon market rules, and pinpoint where your current data is weakest.
2
Verify the evidence
Remote sensing (Sentinel 2, Landsat, Google Earth Engine) and drone survey, cross checked against field ground truth and independent AI output evaluation.
3
Deliver the paper trail
Audit ready evidence, a documented verification protocol, and the defensible record an auditor, registry or regulator will ask to see.
What I Do
Four pillars of environmental intelligence
From AI model evaluation to field verified compliance, every service is built on ground truth credibility.
Frontier AI & Environmental Intelligence
LLM evaluation and benchmarking, AI enhanced due diligence, prompt engineering for environmental orgs, and MRV system design with AI integration.
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Remote Sensing & Field Intelligence
Satellite monitoring (Sentinel 2, Landsat, GEE), drone surveys and mapping, GIS and spatial analysis, and statistical data analysis for environmental decision making.
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Policy, Governance & Compliance
Forest governance and indigenous rights, EUDR/CSRD/EU Taxonomy compliance, Nature Based Solutions scoping, and carbon market strategy and MRV design.
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Research, Training & Advisory
Research design and field methods, AI enhanced sustainability training, cross cultural stakeholder engagement, and environmental impact assessments.
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The Honest Difference
Honest about what models can and cannot do.
Satellite classifications and LLM outputs are probabilistic. I quantify their uncertainty instead of hiding it, and I don't sell guarantees I can't ground truth. That candour is exactly what survives scrutiny from an auditor, a registry, or a compliance board.
Experience
Organizations I have worked with
WWF
UN Habitat
Cleantech Nexus
Alignerr
Outlier.ai
TU Dresden
Univ. Copenhagen
Green Forest Foundation
"Jude's background spans forest science, environmental sustainability and conflict management, and he uses that breadth to connect rigorous research with actionable solutions that benefit both ecosystems and local communities."
Research & Community Outreach, Bagaceira Project
"Jude distinguished himself as a forward thinking peer in forest management, climate policy, and sustainability dialogues. His ability to translate complex policy and climate challenges into actionable solutions reflects both his academic rigor and his commitment to responsible resource management."
Policy Officer, Forest Stewardship Council
Insights & Research
Field notes and published research
Analysis from the ground and the satellite: EUDR, forest governance, remote sensing and carbon.
Remote Sensing · Aug 2026
River Wylye Riparian Corridor Analysis
An Earth Engine workflow deriving catchment pressure variables for a 444 km² chalk stream catchment. Script and data included.
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Comparative · 2025
Congo Basin vs Amazon Deforestation
Deforestation drivers across two major tropical forest regions, drawn from 56 peer reviewed and institutional sources.
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Field · Germany
Hambach After Coal: Water, Ground and Carbon
What the data shows about restoration and monitoring on a former lignite landscape in North Rhine Westphalia.
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Governance · 2023
Forest Governance in the Bakossi Landscape
MSc research on bottom up, constitutionality based forest governance in South West Cameroon.
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