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This study assesses the accuracy of Local Climate Zone (LCZ) classification and its impact on land surface temperature (LST) analysis in Mediterranean cities using high-resolution ECOSTRESS data. Two classification methods were compared: a Geographic Information System (GIS)-based approach integrating high-resolution geospatial data and an LCZ map derived from WUDAPT. Discrepancies in LCZ classification influenced the spatial distribution of urban forms, with WUDAPT overestimating LCZ 6 (open low-rise) and LCZ 8 (large low-rise) while underrepresenting more compact urban types. LST analysis revealed distinct thermal responses between Milan and Lecce, underscoring the influence of urban morphology and local climate. Densely built zones (LCZ 2, LCZ 5) exhibited the highest temperatures, especially at night, while LCZ 8 also retained significant heat. Milan’s dense urban areas experienced pronounced nighttime overheating, whereas Lecce showed a clear daytime temperature gradient, with historic districts (LCZ 2) maintaining lower LST the light-colored and high thermal capacity of building materials. A Kruskal–Wallis test confirmed significant differences between the GIS-based and WUDAPT-derived LCZ maps, highlighting the impact of classification methodology and spatial resolution on LST analysis. These findings emphasize the need for multi-scale approaches to urban climate adaptation and mitigation, providing valuable advice for urban planners and policymakers in development of sustainable and climate-resilient cities. This research is also among the first to integrate ECOSTRESS data with LCZ maps to examine LST variations across spatial and temporal scales.
Details
Datasets;
Classification;
Urban planning;
Historic districts;
Surface temperature;
Geographic information systems;
Cities;
Urban areas;
Air pollution;
Colour;
Land surface temperature;
Climate adaptation;
Energy consumption;
Climate change;
Growth models;
Precipitation;
Spatial distribution;
Spatial data;
Urban climates;
Climate change adaptation;
High resolution;
Temperature gradients;
High temperature;
Geographical information systems;
Sustainable development;
Thermal capacity;
Spatial analysis;
Information systems;
Microclimate;
Building materials;
Spatial discrimination;
Space stations;
Outdoor air quality;
Maps;
Climatic classifications;
Urban development;
Historic temperatures;
Climate;
Multiscale analysis;
Spatial resolution;
Temperature;
Energy efficiency;
Satellites;
Urban heat islands;
Morphology;
Local climates;
Remote sensing
; Esposito, Antonio 2
; Buccolieri Riccardo 1
1 Dipartimento di Scienze e Tecnologie Biologiche ed Ambientali, University of Salento, S.P. 6 Lecce-Monteroni, 73100 Lecce, Italy; [email protected] (G.P.); [email protected] (R.B.)
2 Dipartimento di Scienze e Tecnologie Biologiche ed Ambientali, University of Salento, S.P. 6 Lecce-Monteroni, 73100 Lecce, Italy; [email protected] (G.P.); [email protected] (R.B.), Dipartimento di Matematica e Fisica, University of Salento, Via per Arnesano, snc, 73100 Lecce, Italy