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Article

Study on the Impact of Urban Morphologies on Urban Canopy Heat Islands Based on Relocated Meteorological Stations

1
School of Mathematics and Computer Science, Tongling University, Tongling 244000, China
2
School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2024, 16(9), 1500; https://doi.org/10.3390/rs16091500
Submission received: 5 April 2024 / Revised: 18 April 2024 / Accepted: 23 April 2024 / Published: 24 April 2024

Abstract

This study addresses a crucial gap in understanding the impact of urban morphologies on the canopy urban heat islands (CUHI) effect. The selection of reference stations lacks a unified standard, and their surface air temperature (SAT) sequences are also inevitably influenced by urbanization. However, synchronous observational data from relocated meteorological stations could provide high-quality sample data for studying CUHI. Utilizing remote sensing techniques, the findings of this paper revealed that the observation environment of stations after relocation exhibited remarkable representativeness, with their observation sequences accurately reflecting the local climatic background. The differences in synchronized observation sequences could characterize the CUHI intensity (CUHII). Among the various factors, land use parameters and landscape parameters played particularly significant roles. Furthermore, the fitting performance of the random forest (RF) model for both training and testing data was significantly superior to that of the linear model and support vector regression (SVR) model. Additionally, the influence of local circulation on CUHI could not be overlooked. The mechanisms by which urban morphologies affect CUHII under different circulation backgrounds deserve further investigation.
Keywords: urban morphologies; relocated station; surface air temperature; canopy urban heat islands; random forest urban morphologies; relocated station; surface air temperature; canopy urban heat islands; random forest

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MDPI and ACS Style

Shi, T.; Yang, Y.; Qi, P. Study on the Impact of Urban Morphologies on Urban Canopy Heat Islands Based on Relocated Meteorological Stations. Remote Sens. 2024, 16, 1500. https://doi.org/10.3390/rs16091500

AMA Style

Shi T, Yang Y, Qi P. Study on the Impact of Urban Morphologies on Urban Canopy Heat Islands Based on Relocated Meteorological Stations. Remote Sensing. 2024; 16(9):1500. https://doi.org/10.3390/rs16091500

Chicago/Turabian Style

Shi, Tao, Yuanjian Yang, and Ping Qi. 2024. "Study on the Impact of Urban Morphologies on Urban Canopy Heat Islands Based on Relocated Meteorological Stations" Remote Sensing 16, no. 9: 1500. https://doi.org/10.3390/rs16091500

APA Style

Shi, T., Yang, Y., & Qi, P. (2024). Study on the Impact of Urban Morphologies on Urban Canopy Heat Islands Based on Relocated Meteorological Stations. Remote Sensing, 16(9), 1500. https://doi.org/10.3390/rs16091500

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