Earth Observation for Sustainability: Verify what you claim – with satellite data and AI

Earth Observation for Sustainability

The short answer

Earth observation for sustainability means using satellite imagery and AI to measure, monitor and verify environmental claims that would otherwise rely on self-reporting. Carbon credit verification, reforestation monitoring, ESG supply chain screening and biodiversity assessment are the highest-leverage starting points. The data is increasingly open (Copernicus, Landsat). AI is what makes it actionable for a non-specialist team. We combine AI engineering depth with EU funding access through the FIERCE programme – up to €50,000 per project.

What this means in practice

Carbon credit verification. Nature-based climate projects – reforestation, rewetting, mangrove restoration – need independent measurement. Satellite imagery combined with AI classifies land cover, measures canopy density and tracks change over time. The result: verifiable carbon storage numbers that an auditor can check, not just a project developer's self-assessment.

Reforestation monitoring. Planting projects can be tracked and verified remotely without constant on-site presence. AI detects whether seedlings survive, whether canopy is closing, and whether the species mix matches what was promised.

ESG supply chain screening. Deforestation, water scarcity and land-use change in your supply chain become visible early. AI applied to Earth observation data flags risks before they become compliance incidents.

Biodiversity assessment. Satellites reveal which habitats are species-rich and where they are under threat. Multispectral data identifies vegetation stress, invasive species and ecosystem health at a scale no field team can cover.

Key components

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Carbon verification

  • Measure carbon storage in forests, peatlands, mangroves
  • Track change over time with repeat satellite passes

Supply chain screening icon

Supply chain screening

  • Flag deforestation and land-use change in sourcing regions
  • Early warning before compliance incidents

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Biodiversity monitoring

  • Identify vegetation stress, invasive species, habitat loss
  • Scale that no field team can match

Outcomes

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Verifiable claims

satellite-backed evidence for carbon credits, ESG reports and sustainability commitments

EU funding available icon

Up to €50,000 EU funding

through the FIERCE programme for SMEs and startups integrating space tech into green solutions

Actionable for non-specialists icon

Actionable for non-specialists

AI turns raw satellite data into dashboards and reports your sustainability team can use

Want to talk it through? Book a call: Free of charge, full of value.

How it works

1. Define the question

  • What do you need to measure or verify?
  • Which geography, which time frame, which reporting standard?

2. Build the analysis pipeline

  • Select the right satellite data source (Copernicus, Landsat, commercial)
  • Train or configure the AI model for your specific land cover and use case

3. Deliver and operate

  • Dashboard or report output your team can use
  • Repeat monitoring on a schedule that matches your reporting cycle

Why N3XTCODER

We are an AI agency with a decade of impact-tech experience and over 160 AI projects since 2019. We combine the engineering depth that production AI needs with the EU funding access and Earth-observation network we have built through FIERCE and CASSINI. That combination is rare: most space-tech firms cannot ship AI, and most AI agencies have no foothold in Earth observation.

  • Official service provider in the EU FIERCE programme (up to €50,000 per project)
  • 25+ hackathons organised since 2016, including 5 years as part of the CASSINI Hackathons
  • 10,000+ participants at more than 200 impact events
  • Host of the Space Tech Meetup in Berlin

Honest constraints

Satellite data is not a silver bullet. Cloud cover, revisit frequency and spatial resolution all limit what you can see. For some use cases, drone or in-situ data is a better fit – or a necessary complement.

AI classification needs ground truth. A model trained on European forests will not work out of the box on tropical mangroves. Calibration against local ground truth is part of the setup.

Verification is not certification. Satellite-based monitoring provides evidence, not a certificate. The evidence still needs to flow into your reporting framework and be reviewed by a qualified auditor.

Frequently asked questions

Start an Earth observation project with N3XTCODER

Tell us what you need to measure or verify. We will reply with a proposed approach and a date, usually within a working day.

Simon Stegemann
Co-Founder and CEO