Satellite- and Ground-Based Temperature Observations used in Assessing the Urban Heat Island Phenomena

Lelovics, Enikő; Pongrácz, Rita; Bartholy, Judit

doi:10.1016/j.procs.2011.09.064

Cited by 3 publications

(1 citation statement)

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“…In the last 60 years, the global urbanization rate increased by 21%, and rapid industrial in cities is a major source of Greenhouse emissions, now effects on the environment become obvious, urban areas have a high temperature as compared to rural areas, as called UHI effects (Fu & Weng, 2018;Lelovics et al, 2011). The UHI effect is another significant negative effect of urbanization, the phenomenon of cities having greater air and surface temperatures than their rural surroundings was first described in 1818 (Estoque et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

The Impact of rapid urban growth on land use and land cover change and urban heat island: The case of Babuzai, Pakistan

Fahad

Valjarević

et al. 2023

Preprint

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Land use and land cover (LULC) change is one of the consequences of rapid urbanization that has implications for the environment and climate change. This research aims to examine changes in LULC and the associated spatiotemporal impacts on the urban heat islands (UHI). For this purpose, we used Multi-temporal Landsat data and correlation analysis to track the LULC pattern and land surface temperature (LST) in the study area over the last 24 years. The study revealed that the built-up area and grass & agricultural land increased from 3.19% to 18.53% and 19.13 % to 26.81 %, respectively, from 1998 to 2022. The LULC change and anthropogenic causes influenced the spatial distribution of LST. LST increased by 0.37 ◦C per/year; areas with dense built-up areas had higher temperatures, while areas covered by vegetation cover, and forest land had lower temperatures. There is a strong correlation between LST and Normalized Difference Built-up Index (NDBI), while a low correlation between LST and Normalized Difference Vegetation Index (NDVI). For the relationship between NDBI and LST and NDVI and LST scatterplots used, they had a value (R2) of 0.9939 in 1998 and 0.9583 in 2022 and 0.9872 in 1998 and 0.9835 in 2022, respectively. The study indicates that the development of UHI is influenced by urbanization and deforestation, which leads to an increase in LST. Urban planners and decision-makers can utilize the findings of this research to develop and implement sustainable land-use strategies and management practices for the city, which can have significant benefits.

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Section: Introductionmentioning

confidence: 99%