SciTransfer
EVOLAND · Project

AI-Powered Satellite Monitoring for Land Use, Biomass, and Urban Growth Tracking

environmentTestedTRL 5

Imagine having a high-definition, live-updating map of the entire Earth's surface. Instead of static photos, this system uses AI to spot changes in forests, farms, and cities as they happen. It's like upgrading from a printed atlas to a real-time digital dashboard for the planet's health.

By the numbers
11
next-generation CLMS product candidates
13
consortium partners
5
countries involved
The business problem

What needed solving

Current land monitoring often lacks the temporal resolution and automation needed for real-time decision-making. This leads to delayed responses in managing forest disturbances, urban growth, and agricultural productivity.

The solution

What was built

A suite of 11 prototype monitoring services including biomass mapping, urban dynamics tracking, and continuous forest monitoring implemented on open-source infrastructure.

Audience

Who needs this

Agricultural insurance companiesEnvironmental consultancy firmsCity planning departmentsCarbon credit verification agenciesForestry management enterprises
Business applications

Who can put this to work

Agriculture
SME
Target: Precision farming service provider

If you are a farming service provider dealing with inaccurate crop yield predictions — this project developed cover crop type mapping and gross primary production monitoring that improves the timeliness and quality of land data.

Forestry
enterprise
Target: Sustainable timber management firm

If you are a timber firm dealing with undetected forest degradation — this project developed continuous forest monitoring and biomass mapping that allows for real-time tracking of forest health and disturbances.

Urban Planning
mid-size
Target: Municipal infrastructure developer

If you are a developer dealing with unplanned urban sprawl — this project developed automated land use mapping of urban dynamics and imperviousness monitoring to track city growth more accurately.

Frequently asked

Quick answers

What is the cost or price for using these services?

Based on available project data, no specific pricing or cost details are provided, as the project focuses on developing candidates for the Copernicus Land Monitoring Service.

Can these tools be used at an industrial scale?

Yes, the algorithms are designed to be modular and scalable on open-source infrastructure, with a demonstration phase implemented over larger regions.

What are the IP and licensing terms?

The project emphasizes the use of open-source infrastructure, though specific licensing for the 11 product candidates is not detailed in the provided text.

How does this integrate with existing data?

It integrates novel Earth Observation (EO) data, in-situ data, and Sentinel satellite data through advanced data fusion and machine learning.

What is the timeline for operational deployment?

The project runs from 2023-01-01 to 2025-12-31, with the goal of proposing a strategy to transfer these services to operations by the end of the period.

Consortium

Who built it

The consortium is well-balanced for technology transfer, consisting of 13 partners across 5 countries. With a 38% industry ratio (5 companies, including 2 SMEs) and 7 research organizations, the project blends academic rigor with commercial viability, ensuring that the 11 product candidates are developed with operational readiness in mind.

How to reach the team

Contact VLAAMSE INSTELLING VOOR TECHNOLOGISCH ONDERZOEK N.V. (VITO) in Belgium

Next steps

Talk to the team behind this work.

Contact us to explore how these 11 new Copernicus land monitoring tools can optimize your environmental data pipeline.

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