SURE has been proposed in the framework of ESA-DTE-B-02 EARLY DTCS DEVELOPMENT ACTIONS. It is managed by e-GEOS and a significant Consortium including Politecnico di Milano, Luxembourg Institute of Science and Technology and Stefano Boeri Architetti. The project focuses on two use cases: • Modelling the effects of Urban Heat Islands (UHIs) in a test area of Milan, addressing both city scale and neighbourhood-scale impacts. • Simulating flood effects in a suburban area of Luxembourg (Urban Floods). Concerning the UHI use case, city scale simulations aim at demonstrating the capability to provide insights into macro-changes in Land Surface Temperature (LST) triggered by extensive interventions (e.g., green area expansions, urban forestation). LCZ (Local Climate Zone) and UHI maps will be generated based on Sentinel-2 with different Urban Canopy Parameters and MODIS/Landsat-8/9 thermal data, respectively. A simulation workflow will be set up based on urban vegetation/built-up characteristics to replicate the LST response. Instead, the neighbourhood scale will be addressed through urban microclimate modelling by leveraging the PALM model system (https://palm.muk.uni-hannover.de). The Urban Flood Use Case focuses on creating a flood risk assessment framework using EO data, AI algorithms (e.g., Sentinel-1 SAR), and climate models to predict flood hazards in Luxembourg’s Alzette and Sure river floodplains. It integrates precipitation, temperature, soil moisture, and river discharge data to produce flood hazard and risk maps. An ensemble approach addresses uncertainties, with results displayed on a dashboard to evaluate impacts on infrastructure. Both Use Cases will be articulated in a set of “what if” scenarios, according to the User’s requirements collected during the first steps of the project. For each scenario a dedicated Digital Twin Component environment will be realized, in order to give to the final users a well-organized and complete framework in which the results of the modelling may be visualized and combined to get further information. The project addresses the needs of different users’ categories, such as private entities (banks, insurances, professionals, urban planners) and public administrations involved in the management of the territory. As stakeholders already involved in the project, it is possible to mention for the UHI Use Case: - Città Metropolitana of Milan; - Studio Boeri Architetti (partner and stakeholder); for the Flood Use Case - Spuerkees Bank On the UHI Use Case we registered the active interest of the Municipality of Milan. The Consortium is getting in touch with Luxembourg Public Administrations involved in water management and civil protection, in order to widen the stakeholder’s participation. SURE will do wide use of satellite datasets, jointly with all other useful available dataset, in all the phases of the project, starting from the training and validation of the models to the realization of the DT environment. What realized during the project will be compliant to the specifications of DestinE Core Service Platform (DESP) for future integration.
A DTC Urban - SURE Smart Urban Resilience Enhancement
Daniele Oxoli;Maria Antonia Brovelli;
2025-01-01
Abstract
SURE has been proposed in the framework of ESA-DTE-B-02 EARLY DTCS DEVELOPMENT ACTIONS. It is managed by e-GEOS and a significant Consortium including Politecnico di Milano, Luxembourg Institute of Science and Technology and Stefano Boeri Architetti. The project focuses on two use cases: • Modelling the effects of Urban Heat Islands (UHIs) in a test area of Milan, addressing both city scale and neighbourhood-scale impacts. • Simulating flood effects in a suburban area of Luxembourg (Urban Floods). Concerning the UHI use case, city scale simulations aim at demonstrating the capability to provide insights into macro-changes in Land Surface Temperature (LST) triggered by extensive interventions (e.g., green area expansions, urban forestation). LCZ (Local Climate Zone) and UHI maps will be generated based on Sentinel-2 with different Urban Canopy Parameters and MODIS/Landsat-8/9 thermal data, respectively. A simulation workflow will be set up based on urban vegetation/built-up characteristics to replicate the LST response. Instead, the neighbourhood scale will be addressed through urban microclimate modelling by leveraging the PALM model system (https://palm.muk.uni-hannover.de). The Urban Flood Use Case focuses on creating a flood risk assessment framework using EO data, AI algorithms (e.g., Sentinel-1 SAR), and climate models to predict flood hazards in Luxembourg’s Alzette and Sure river floodplains. It integrates precipitation, temperature, soil moisture, and river discharge data to produce flood hazard and risk maps. An ensemble approach addresses uncertainties, with results displayed on a dashboard to evaluate impacts on infrastructure. Both Use Cases will be articulated in a set of “what if” scenarios, according to the User’s requirements collected during the first steps of the project. For each scenario a dedicated Digital Twin Component environment will be realized, in order to give to the final users a well-organized and complete framework in which the results of the modelling may be visualized and combined to get further information. The project addresses the needs of different users’ categories, such as private entities (banks, insurances, professionals, urban planners) and public administrations involved in the management of the territory. As stakeholders already involved in the project, it is possible to mention for the UHI Use Case: - Città Metropolitana of Milan; - Studio Boeri Architetti (partner and stakeholder); for the Flood Use Case - Spuerkees Bank On the UHI Use Case we registered the active interest of the Municipality of Milan. The Consortium is getting in touch with Luxembourg Public Administrations involved in water management and civil protection, in order to widen the stakeholder’s participation. SURE will do wide use of satellite datasets, jointly with all other useful available dataset, in all the phases of the project, starting from the training and validation of the models to the realization of the DT environment. What realized during the project will be compliant to the specifications of DestinE Core Service Platform (DESP) for future integration.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
