Multi-Criteria Assessment of Urban Thermal Hotspots: A GIS-Based Remote Sensing Approach in a Mediterranean Climate City
Metadatos
Mostrar el registro completo del ítemEditorial
MDPI
Materia
Urban overheating Land surface temperature Local climate zones Urban density Thermal hotspots Outdoor environmental comfort
Fecha
2025-01-10Referencia bibliográfica
Sola-Caraballo, J.; Serrano-Jiménez, A.; Rivera-Gomez, C.; Galan-Marin, C. Multi-Criteria Assessment of Urban Thermal Hotspots: A GIS-Based Remote Sensing Approach in a Mediterranean Climate City. Remote Sens. 2025, 17, 231. https://doi.org/10.3390/rs17020231
Patrocinador
MICIU/AEI/10.13039/501100011033 - ERDF, EU (PID2021-124539OB-I00); MICIU/AEI/10.13039/501100011033 (TED2021-129347B-C21; FPU21/02458)Resumen
One of the most significant urban challenges focuses on addressing the effects
of urban overheating as a consequence of climate change. Several methods have been
developed to characterize urban heat islands (UHIs); however, the most widely used
involve complex planning, huge time consumption, and substantial human and technical
resources on field monitoring campaigns. Therefore, this study aims to provide an easily
accessible and affordable remote sensing method for locating urban hotspots and addresses
a multi-criteria assessment of urban heat-related parameters, allowing for a comprehensive
city-wide evaluation. The novelty is based on leveraging the potential of the last Landsat 9
satellite, the application of kernel spatial interpolation, and GIS open access data, providing
very high-resolution land surface temperature images over urban spaces. Within GIS
workflow, the city is divided into LCZs, thermal hotspots are detected, and finally, it is
analyzed to understand how urban factors, such as urban boundaries, building density,
and vegetation, affect urban scale LST, all using graphical and analytical cross-assessment.
The methodology has been tested in Seville, a representative warm Mediterranean city,
where variations of up to 10 ◦C have been found between homogeneous residential areas.
Thermal hotspots have been located, representing 11% of the total residential fabric, while
results indicate a clear connection between the urban factors studied and overheating. The
conclusions support the possibility of generating a powerful affordable tool for future
research and the design of public policy renewal actions in vulnerable areas.