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Open AccessArticle

Correlation Analysis between UBD and LST in Hefei, China, Using Luojia1-01 Night-Time Light Imagery

by Xing Wang 1,2, Tong Zhou 1,3,4,*, Fei Tao 1,4 and Fengyi Zang 2
1
School of Geographic Sciences, Nantong University, Nantong 226007, China
2
School of Economics and Management, Nantong University, Nantong 226019, China
3
Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China
4
Key Laboratory of Virtual Geographical Environment, MOE, Nanjing Normal University, Nanjing 210046, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(23), 5224; https://doi.org/10.3390/app9235224
Received: 6 November 2019 / Revised: 27 November 2019 / Accepted: 28 November 2019 / Published: 1 December 2019
(This article belongs to the Section Earth Sciences and Geography)
The urban heat island (UHI) is one of the essential phenomena of the modern urban climate. In recent years, urbanization in China has gradually accelerated, and the heat island effect has also intensified as the urban impervious surface area and the number of buildings is increasing. Urban building density (UBD) is one of the main factors affecting UHI, but there is little discussion on the relationship between the two. This paper takes Hefei as the research area, combines UBD data estimated by Luojia1-01 night-time light (NTL) imagery as the research object with land surface temperature (LST) data obtained from Landsat8 images, and carries out spatial correlation analysis on 0.5 × 0.5 km to 2 × 2 km resolution for them, so as to explore the relationship between UBD and UHI. The results show the following: (1) Luojia1-01 data have a good ability to estimate UBD and have fewer errors when compared with the actual UBD data; (2) At the four spatial scales, UBD and LST present a significant positive correlation that increases with the enlargement of the spatial scale; and (3) Moreover, the fitting effect of the Geographically Weighted Regression (GWR) model is better than that of the ordinary least squares (OLS) regression model. View Full-Text
Keywords: Luojia1-01; urban heat island; urban building density; land surface temperature; geographically weighted regression Luojia1-01; urban heat island; urban building density; land surface temperature; geographically weighted regression
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MDPI and ACS Style

Wang, X.; Zhou, T.; Tao, F.; Zang, F. Correlation Analysis between UBD and LST in Hefei, China, Using Luojia1-01 Night-Time Light Imagery. Appl. Sci. 2019, 9, 5224.

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