Influence of landscape features on urban land surface temperature: Scale and neighborhood effects

Shi, Yi; Liu, Shuguang; Yan, Wende; Zhao, Shuqing; Ning, Ying; Peng, Xi; Chen, Wei; Chen, Liding; Hu, Xijun; Fu, Bojie; Kennedy, Robert E.; Lv, Yihe; Liao, Juyang; Peng, Chunliang; Rosa, Isabel M.D.; Roy, David P.; Shou-yun, Shen; Smith, Andy; Wang, Cheng; Zhao, Wansheng; Xiao, Li; Xiao, Jingfeng; Lei, Yang; Yuan, Wenping; Yang, Min; Zhang, Hankui K.; Zhao, Meifang; Zhu, Yu

doi:10.1016/j.scitotenv.2021.145381

Cited by 32 publications

(20 citation statements)

References 73 publications

(96 reference statements)

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“…The MNDWI is computed to extract open water features using Eq (11) . Hence, it is more accurately extracts open water features than the MNDWI in the urban ecosystem [ 56 , 61 ]. On the other hand, the NDBI is calculated to identifying built-up landscapes from medium resolution satellite imagery.…”

Section: Methodsmentioning

confidence: 99%

“…This tendency is more frequent in developing countries and especially prevalent in Africa. Thus, characterizing the dynamics of UHI and UGS associations is critical for mitigating the ongoing negative effects of the climate crisis [ 11 , 56 ].…”

Section: Introductionmentioning

confidence: 99%

“…For example, UHI influence the interspecific phenotypic plasticity and larval survival of butterflies [ 32 ], slow the development of widow spider [ 30 ], and disturbs the health of urban residents [ 44 , 69 ] and persuade nonfatal effects such as dehydration, heat strokes, and heat fatigue [ 46 ]. Thus, understanding characteristics of the spatial distribution of LST and influencing factors of LST pattern and evolution are important for sustainable urban policies development [ 11 , 61 ] and reduce the unabated negative influences of climate crisis [ 8 , 56 , 62 ]. Even though some studies have been conducted, the results focused on the linear relationship between LST and single influencing factors, such as biophysical factors [ 67 ].…”

Section: Introductionmentioning

confidence: 99%

“…2) The study period (1990–2020) covered by this research is a positive element, allowing a view of how the indices and factors investigated vary over an extended time interval. Hence, LST dynamics and responses in green space are the result of a combination of several spatially neighboring and fundamental factors [ 56 ].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Dynamics of green spaces- Land surface temperature intensity nexus in cities of Ethiopia

Argaw¹,

Feyisa²,

Degefa³

2023

Heliyon

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Dynamics of green spaces- Land surface temperature intensity nexus in cities of Ethiopia

Argaw¹,

Feyisa²,

Degefa³

2023

Heliyon

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“…The correlation between BH and LST is weak in the daytime, but strongly positive at night. The aspect ratio of street canyons in urban core areas is negatively correlated with LST in the daytime and positively correlated during nighttime ( 30 ). Socio-economic development and human activities also affect the urban thermal environment.…”

Section: Introductionmentioning

confidence: 99%

Warming and cooling effects of local climate zones on urban thermal environment

Zhang

Yang

Sun

et al. 2022

Front. Public Health

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Understanding the thermal characteristics and contribution ranking of local climate zones (LCZs) is essential since they can help in maintaining environmental harmony. However, previous studies only considered independent effects and could not analyze the combined effects of LCZ on land surface temperature (LST). In this study, we propose a new method to establish an interaction model between LCZs. Five first-level grids with different scales from 270 to 990 m were established to calculate the area proportion of LCZ. The area proportion of LCZ was then applied in the stepwise regression model to quantitatively analyze its magnitude and direction of impact on the LST. The results suggest that the LCZ types of the study area with the highest and lowest average LST were LCZ2 (compact middle-rise building, 39.82°C) and LCZG (water body, 34.24°C), respectively. However, on most scales, the warming effect of LCZ2 was lower than that of LCZE (bare rock or paver), and the cooling effect of LCZG was lower than that of LCZD (low plants). The optimum results were obtained at a scale of 810 m. At this scale, the warming effect was in the order: LCZE (0.314) > LCZ2 (0.236) > LCZ3 (compact low-rise building, 0.135) > LCZ5 (open middle-rise, 0.084) > LCZ6 (open low-rise, 0.056); the cooling effect was in the order: LCZD (−0.272) > LCZA (dense trees, −0.104) > LCZG (−0.103). These findings can help to elucidate the unique warming and cooling effects of LCZ on the interaction condition and the construction of an urban human settlement.

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Modeling the impact of urban land cover features and changes on the land surface temperature (LST): The case of Jordan

Al Shawabkeh,

AlHaddad,

Al-Fugara

et al. 2024

Ain Shams Engineering Journal

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Influence of landscape features on urban land surface temperature: Scale and neighborhood effects

Cited by 32 publications

References 73 publications

Dynamics of green spaces- Land surface temperature intensity nexus in cities of Ethiopia

Dynamics of green spaces- Land surface temperature intensity nexus in cities of Ethiopia

Warming and cooling effects of local climate zones on urban thermal environment

Modeling the impact of urban land cover features and changes on the land surface temperature (LST): The case of Jordan

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