Climate Risk Analysis Related to Urban Heat Islands in Metropolitan Areas for Urban Health: The Case Study of The Florence Plain - Supplementary materials

This dataset supports research aimed at developing a model for assessing and tackling climate risk associated with Urban Heat Islands (UHI) in the Piana Fiorentina area. The study focuses on areas where thermal stress and population sensitivity are especially high, making heat-reduction interventions a priority. Climate risk is determined by the interaction of three key factors: Hazard, Exposure, and Vulnerability. In the context of heatwaves, the hazard refers to the rise in temperatures. Exposure relates to the presence of people or assets in areas affected by such extreme events, typically measured using census data that show how population is distributed across impacted zones. Vulnerability reflects the limited ability of individuals or communities to cope with or adapt to extreme heat, influenced by factors such as age, health conditions, and urban characteristics (e.g., the availability of adequate infrastructure). By combining these three components, it's possible to create a comprehensive risk map, integrating a hazard index with indicators of exposure and vulnerability. Tools like the Land Surface Temperature (LST) index, play a crucial role in supporting urban planning interventions aimed at reducing the environmental and public health impacts of extreme heat. The dataset includes spatial and tabular data used to construct the risk model, comprising raster layers (e.g., Land Surface Temperature and NDVI indices) and vector data derived from census and urban planning sources. Files are provided in open formats to facilitate interoperability and reuse. The data can be used to reproduce the analyses presented in the related research and to support further studies on climate adaptation and urban resilience.