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Mokhtari, Zahra, Amani-Beni, Majid, Asgarian, Ali, Russo, Alessio 
ORCID: 0000-0002-0073-7243, Qureshi, Salman and Karami, Ayoob
(2023)
Spatial prediction of the urban inter-annual land surface temperature variability: An integrated modeling approach in a rapidly urbanizing semi-arid region.
Sustainable Cities and Society, 93.
Art 104523.
doi:10.1016/j.scs.2023.104523
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12585-Russo-(2023)-Spatial-prediction-of-the-urban-inter-annual-land-surface-temperature-variability.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (8MB) | Preview |
Abstract
The inter-annual land surface temperature (LST) is a meteorological indicator of urban environments, affecting energy consumption and quality of life. In this study, the annual LST variability (ALSTV) of a rapidly urbanizing region in Iran including Karaj, Shahriar and Mohammad-Shahr cities and their surrounding suburbs was esti- mated using Landsat-8 images. Pixel-based image classification and object-based segmentation techniques were employed to extract built-up patches and spectrally homogeneous regions. Using the multiple regression analysis, the ALSTV of built-up patches was modeled as a function of their structure and the spatial characteristics of other land-use patches located in their respective segments (as neighborhood factors). A Cellular Automata model was utilized to simulate the expansion of built-up area up to 5% and, therefore, estimate their future ALSTV. The mean ALSTV was highest in urban areas (33.25± 7.41 ◦C), while the lowest mean value of 24.12± 3.24 ◦C was in green covers. The ALSTV of built-up patches were positively associated with their area and the percentage and size of neighborhood built-up patches, while negatively with the percentage of neighborhood green patches. To create a thermally comfortable landscape, additional green patch allocation and preventing excessive urban patch growth are required in all large built-up segments.
| Item Type: | Article |
|---|---|
| Article Type: | Article |
| Uncontrolled Keywords: | Land surface temperature (LST); Annual LST variability (ALSTV); Urban Iran |
| Subjects: | G Geography. Anthropology. Recreation > GB Physical geography G Geography. Anthropology. Recreation > GE Environmental Sciences N Fine Arts > NA Architecture > NA9000 Aesthetics of cities. City planning and beautifying. S Agriculture > SB Plant culture > SB469 Landscape gardening. Landscape architecture |
| Divisions: | Schools and Research Institutes > School of Creative Arts |
| Research Priority Areas: | Place, Environment and Community |
| Depositing User: | Alessio Russo |
| Date Deposited: | 03 Apr 2023 12:16 |
| Last Modified: | 11 Mar 2024 04:15 |
| URI: | https://eprints.glos.ac.uk/id/eprint/12585 |
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