The effects of climate change are becoming increasingly evident world-wide, with one of the most notable being the rise in the frequency of extreme weather events, such as intense heat waves. These phenomena tend to be more pronounced in densely urbanized areas [1] disproportionately affecting vulnera-ble populations. This study focuses on Palermo, a coastal city in Sicily (southern Italy), surrounded by mountains and home to over 600,000 inhabitants. Palermo is highly urbanized, making it particularly susceptible to urban heat island effects. In this work, we employ remote sensing techniques to assess Land Surface Tem-perature (LST) in order to visualize the temperature distribution across the urban area. This approach allows us to identify the parts of the city where temperatures are highest, considering factors such as altitude, proximity to the coast, and Local Climate Zones, classified based on the type of urban fabric or vegetation present.
Urban Heat Islands in Palermo: Land Surface Temperature Analysis of a Mediterranean Coastal City / Balsamo, Luca; Zanetti, Carlo; Pappalardo, Salvatore E.; De Marchi, Massimo. - (2025), pp. 234-248. - COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE. [10.1007/978-3-031-91141-5_17].
Urban Heat Islands in Palermo: Land Surface Temperature Analysis of a Mediterranean Coastal City
Luca BalsamoPrimo
;
2025
Abstract
The effects of climate change are becoming increasingly evident world-wide, with one of the most notable being the rise in the frequency of extreme weather events, such as intense heat waves. These phenomena tend to be more pronounced in densely urbanized areas [1] disproportionately affecting vulnera-ble populations. This study focuses on Palermo, a coastal city in Sicily (southern Italy), surrounded by mountains and home to over 600,000 inhabitants. Palermo is highly urbanized, making it particularly susceptible to urban heat island effects. In this work, we employ remote sensing techniques to assess Land Surface Tem-perature (LST) in order to visualize the temperature distribution across the urban area. This approach allows us to identify the parts of the city where temperatures are highest, considering factors such as altitude, proximity to the coast, and Local Climate Zones, classified based on the type of urban fabric or vegetation present.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


