Project description
Supporting cities in the race to climate neutrality
Cities aiming for climate neutrality by 2030 face a tough challenge. They must reduce greenhouse gas emissions from buildings, transport and land use to net zero. Monitoring these emissions is critical to track progress and plan effective actions. However, cities often lack precise tools to support evidence-based decisions. With this in mind, the EU-funded CLMS-Cities project will support the Copernicus Land Monitoring Service (CLMS) in addressing this need. Building on the method developed by its predecessor project CURE, CLMS-Cities will provide detailed environmental data for 10 leading cities. This will help refine greenhouse gas inventories and improve urban planning for climate change mitigation, supporting cities in achieving their ambitious climate goals.
Objective
The recently concluded H2020 project CURE prepared the ground for exploitation of Copernicus Core Services in urban planning. Achieving climate neutrality requires a city that has joint the EU Mission on “Climate-Neutral and Smart Cities” (the Cities Mission), to reduce the Greenhouse Gases (GHG) emissions from all sectors within the city’s boundary to net zero by 2030, including emissions within the city boundary, from: combustion of fossil fuels in buildings and facilities; combustion of fossil fuels for all vehicles and transport; and changes in land use (agriculture, forestry and other land uses). All the above are considered as Scope 1 GHG emissions (direct emissions) and the Copernicus Land Monitoring Service (CLMS), based on the CURE method for CO2 emissions monitoring, holds promise in aiding cities to achieve the ambitious goals of the Mission, by assisting in monitoring the efficiency of efforts to trace the advancement towards climate neutrality. The proposed project CLMS-Cities (Copernicus responding to EU Cities Mission) aims to improve CLMS with new elements and products, capable of being integrated into land planning decisions with regard to climate change mitigation at local scale. CLMS-Cities will contribute to CLMS evolution, as it is expected to lead to more evidence-based urban planning activities related to climate change mitigation, resulting in improved GHG emissions inventory methods and outputs to support cities to meet the Mission’s ambitious objectives. It will focus on the ten cities of the Mission that were recently (2023) labelled, providing the Mission’s community with spatially disaggregated environmental intelligence at a local scale and a proof-of-concept that urban planning and management strategies enhancing the GHG inventories can be supported by CLMS. CLMS-Cities method will be modular and scalable, delivering consistent products across the cities of the Mission and developing synergies between CLMS and third-party data sources.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- agricultural sciencesagriculture, forestry, and fisheriesagriculture
- engineering and technologyenvironmental engineeringenergy and fuels
- agricultural sciencesagriculture, forestry, and fisheriesforestry
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Programme(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
70013 Irakleio
Greece