URBANSAFE

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URBANSAFE is a digital platform project developed under Italy's National Recovery and Resilience Plan. The project operates within the broader RETURN initiative focused on multi-risk science for resilient communities under changing climate conditions.

The project addresses the urgent need for digital technologies to model climate hazards in urban areas. URBANSAFE aims to develop an advanced digital platform for multi-hazard monitoring, predictive modeling, and risk assessment specifically tailored to urban environments. The platform integrates high-resolution remote sensing data from both optical and SAR sources, IoT sensor networks, and AI-driven analytics to enable cities to monitor, model, and mitigate climate-induced hazards including extreme heat, flooding, ground instability, and pollution.

The core objectives encompass creating enhanced multi-hazard understanding through multi-source data integration, developing dynamic modeling and simulation capabilities powered by artificial intelligence, supporting both disaster risk reduction and climate change adaptation strategies, advancing algorithms for urban heat island and flood modeling while incorporating demographic data for impact assessment, and implementing SAR-based monitoring systems to detect subsidence risks affecting infrastructure safety.

Latitudo 40 delivers a configured platform that continuously acquires high-resolution optical and SAR data from multiple satellite sources. The company produces an integrated dataset combining IoT environmental data with satellite observations, harmonized and pre-processed for comprehensive monitoring. They develop three specific models: an advanced urban heat island model with high-resolution spatial and temporal tracking, updated flood risk maps adaptable to projected climate scenarios up to 2100, and a SAR-based ground stability model identifying areas of potential subsidence. The final deliverable is a user-centered platform architecture with embedded simulation tools that enables scenario planning for disaster risk reduction and climate change adaptation.