Objectives of the service
In urban environments facing climate change, the dual challenges of adaptation and mitigation require effective strategies. Users, including local authorities and construction industry stakeholders, face two critical obstacles: the difficulty in measuring the impact of renaturation initiatives on carbon storage, and the technical complexities surrounding appropriate species selection for planting.
The Netcarbon Intelligence platform, a Software as a Service (SaaS) application that supports users in developing and implementing effective revegetation strategies. This application features three core functionalities: a dashboard that assesses an area's environmental indicators, a simulation module for modeling the impacts of proposed projects, and a Monitoring, Reporting, and Verification (MRV) module that tracks project outcomes over time while ensuring they meet existing certification standards.
This activity aims to enhance the deployment of renaturation policies, thereby making a significant contribution to climate change mitigation. By providing accessible, actionable, and data-driven insights, the service empowers clients to integrate environmental considerations into their planning processes effectively, improving sustainability and compliance with evolving regulatory frameworks.
Users and their needs
The targeted user communities for the Netcarbon Intelligence solution primarily consist of local authorities, industry stakeholders, and the building sector in France. Each of these segments has specific needs and challenges.
Local Authorities require accessible tools to comply with existing regulations, instruments for accurate environmental management, and means to communicate their actions and results transparently. However, they face challenges such as a lack of user-friendly tools and pressure from citizens to justify their actions.
Industry needs training on ecological transition issues, as well as tools that allow for informed decision-making regarding carbon emission reduction scenarios while complying with regulatory frameworks. Key challenges include the need for multifaceted data projections and balancing budget constraints with ecological impact.
The Building Sector must understand the issues related to carbon storage and regulatory labels while having access to tools that track environmental impact over time. Challenges faced include vague regulations complicating project analysis and the necessity to propose measurable impacts while respecting budgetary limits.
These user groups require a comprehensive support system that can address regulatory, educational, and operational challenges to facilitate their engagement in ecological initiatives in France.
Service/ system concept
Netcarbon Intelligence delivers information on the landcover, the carbon stock and heat island. The information is gathered in a dashboard. Then based on our simulation tools users are able to add vegetation and automatically quantify the impact of their actions in the application.
To satellite data retrieval system is developed using ETL in python and deployed on the Cloud based on a docker. This allows us to have all the needed satellite data in our database. Users can interact with the database with our application developed in VueJS and FastAPI.
Space Added Value
Netcarbon Intelligence leverages a combination of satellite data sources to monitor vegetation dynamics and urban heat trends with high precision.
We use Sentinel-2 imagery to generate time series of key vegetation indices such as NDVI and NDWI, which serve as essential inputs to our environmental monitoring algorithms.
To enhance spatial accuracy, we integrate very high-resolution data from Airbus for precise vegetation detection and change monitoring at the parcel or urban block level.
For thermal analysis and urban heat island (UHI) tracking, we incorporate Landsat 8 and Landsat 9, which provide reliable thermal infrared imagery.
Current Status
User Needs & Data Sources
We’ve completed the validation of user requirements through stakeholder interviews and feedback. Based on this, mock-ups of the platform are currently being developed.
In parallel, we conducted an extensive benchmark of existing land cover and land use classification sources, including OSO, Urban Atlas, UrbanML, and ECODATACUB. Data retrieval is ongoing and complemented by a scientific review based on references such as CITEPA. We have also defined the initial list of land cover classes we intend to monitor.
Infrastructure & Data Engineering
A first draft of the Service Level Agreement (SLA) is under preparation. We’ve deployed parts of our data processing pipeline on Cloud Run to ensure scalability. Our internal database (MongoDB) has been configured to securely store customer data, and a backup and recovery plan has been put in place to ensure long-term resilience.
API & Security
We’ve released the first version of our backend API, built with FastAPI, supporting standard operations (create, read, update, delete). To support a robust development process, we’ve also implemented separate environments for development, preproduction, and production.
Prime Contractor(s)
