Imagine having a giant, smart magnifying glass for the entire planet that combines satellite photos with ground-level sensor data. It turns complex space data into simple maps and reports that anyone can open on a smartphone. This helps people see exactly where to plant trees or how to protect nature without needing to be a data scientist.
Businesses struggle to turn massive amounts of raw satellite data into actionable financial or operational insights. There is a gap between complex Earth Observation data and decision-ready environmental accounting.
A cloud-based cyberinfrastructure integrating in-situ and satellite data, featuring AutoML mapping tools and SEEA-based financial assessment tools.
If you are a reforestation firm dealing with the logistical challenge of planting 3 billion trees by 2030 — this project developed a computing engine and mapping tools that identify the best locations and track growth accurately.
If you are an investment fund dealing with vague sustainability reports — this project developed financial assessment tools using SEEA methodology that quantify ecosystem services to build precise business solutions.
If you are an auditor dealing with inconsistent ground-truth data — this project developed a cloud-based solution to integrate in-situ and satellite data for decision-ready environmental information.
Based on available project data, the project focuses on 'Open Data' and 'Open-Earth-Monitor' cyberinfrastructure, but specific commercial pricing tiers are not listed.
Yes, the project implements fully-scalable Automated Mapping and AutoML tools designed to reach millions of users globally.
The project is anchored in FAIR data principles and utilizes open platforms like OpenEO.org, suggesting an open-access or open-source orientation, though specific licenses are not detailed.
It directly supports the EU Green Deal, targeting climate-neutrality in the land sector by 2035 and a net-zero GHG economy by 2050.
The system provides GSM-compatible, user-friendly apps and analysis-ready data levels to ensure information is accessible for decision-making.
The consortium is well-balanced for commercialization, featuring 23 partners across 10 countries. With a 35% industry ratio (8 industrial partners, all of whom are SMEs), the project is heavily driven by agile, small-scale commercial entities rather than just academic research, increasing the likelihood of market-ready tools.
Contact Stichting OpenGeoHub in the Netherlands
Contact us to connect with the OEMC consortium for API access or pilot integration.
