Spatial Cluster Characteristics of Land Surface Temperatures

Donghe Li, Xin Hu, John Rollo, Mark Luther, Min Lu () and Chunlu Liu ()
Additional contact information
Donghe Li: School of Architecture and Built Environment, Faculty of Science Engineering and Built Environment, Deakin University, Geelong, VIC 3220, Australia
Xin Hu: School of Architecture and Built Environment, Faculty of Science Engineering and Built Environment, Deakin University, Geelong, VIC 3220, Australia
John Rollo: School of Architecture and Built Environment, Faculty of Science Engineering and Built Environment, Deakin University, Geelong, VIC 3220, Australia
Mark Luther: School of Architecture and Built Environment, Faculty of Science Engineering and Built Environment, Deakin University, Geelong, VIC 3220, Australia
Min Lu: Landscape Architecture Research Centre, Shandong Jianzhu University, Jinan 250101, China
Chunlu Liu: School of Architecture and Built Environment, Faculty of Science Engineering and Built Environment, Deakin University, Geelong, VIC 3220, Australia

Sustainability, 2025, vol. 17, issue 6, 1-24

Abstract: Accurately measuring the characteristics of spatial clusters and changes in urban land surface temperature (LST) provides essential data that assist in urban heat island effect mitigation and sustainable urban development. Previous studies on the thermal environment often focused on the identification and spatial distribution of land surface temperature values and the lack of quantitative research on the LST spatial cluster characteristics, making it difficult to determine where mitigation strategies can be best applied to reduce high-temperature cluster (HH) areas and increase urban low-temperature cluster (LL) areas. Based on remote sensing (RS) images and geographic information system (GIS) technology, the cluster classification and spatial cluster characteristics analysis methods were used in this research to quantitatively assess the LST spatial cluster characteristics in Huaiyin District, Jinan City in 2000, 2005, 2010, 2015, 2020, and 2024. The results show the following: (1) The LST exhibited significant spatial cluster characteristics, with a strong correlation between the LST spatial cluster areas and their spatial locations. The spatial distributions of the HH and LL areas showed contrasts from north to south and west to east. (2) Decreasing temperature transformations were mainly located in new areas covered by water bodies and vegetation, while increasing temperature transformations were mainly located within re-developed built-up areas in the old urban area and in the newly built urban growth areas. The HH areas were larger, simpler in patch shape, and had more aggregated spatial distributions than the LL areas. Additionally, the barycentre distribution and migration trajectory of the HH areas were closely related to urban development planning. These quantitative results provide a scientific basis for understanding the urban LST spatial cluster characteristics, thus quantifying the core problem areas of urban planning and thermal environment regulation policies.

Keywords: land surface temperature; spatial cluster characteristics; LST spatial cluster area (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/17/6/2653/pdf (application/pdf)
https://www.mdpi.com/2071-1050/17/6/2653/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:17:y:2025:i:6:p:2653-:d:1614179

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().