Imagine if every resident in a city could act as a living sensor, reporting air quality or traffic issues in real-time. This project builds a digital bridge that connects these people's observations with official satellite data. It helps city leaders make better rules for a greener city based on what is actually happening on the street.
City governments often lack granular, ground-level data to make effective climate policies, relying on sparse official sensors or low-resolution satellite imagery.
The GREEN Engine, a common data model, and a tools API that allows citizens to collect environmental data and public authorities to use that data for decision-making.
If you are a city planning consultancy dealing with inaccurate urban air quality maps — this project developed the GREEN Engine and a common data model that integrates citizen-collected data with remote sensing to provide a more accurate picture of the urban environment.
If you are a sensor hardware manufacturer dealing with low user engagement for environmental monitors — this project developed a set of tools and APIs for Citizen Observatories that encourages people to actively collect and use urban data.
If you are a GovTech software provider dealing with the gap between policy and real-world environmental impact — this project developed a decision-making toolbox that allows public authorities to use ground-level data for policy evaluation.
Based on available project data, there is no specific pricing or cost information provided for the developed tools.
The project is designed for urban scale, utilizing a common data model and tools API to ensure the system can be replicated across different partner cities.
Based on available project data, the specific licensing terms are not mentioned, though the project provides documentation for the tools API and data model.
The system integrates citizen observations with Copernicus, GEOSS, and other remote sensing data through a common data model and API.
The project period runs from 2023-01-01 to 2025-12-31, indicating it is currently in the implementation and testing phase.
The consortium is well-balanced for technology transfer, featuring 17 partners across 8 countries. With a 35% industry ratio (including 6 SMEs), there is a strong commercial interest in the outputs, while the presence of 3 universities and 3 research centers ensures the scientific validity of the environmental data models.
Contact AIT Austrian Institute of Technology GmbH for API access and data model documentation.
Contact us to explore how to integrate the GREEN Engine API into your urban management software.
