Citation

Dai Z, Guldmann JM, Hu Y. Sci. Total Environ. 2018; 626: 1136-1147.

Affiliation

State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, University of Chinese Academy of Sciences, No. 11A Datun Road, Chaoyang District, 100101 Beijing, China. Electronic address: huyf@lreis.ac.cn.

Copyright

(Copyright © 2018, Elsevier Publishing)

DOI

10.1016/j.scitotenv.2018.01.165

PMID

29898520

Abstract

Understanding the relationship between urban land structure and land surface temperatures (LST) is important for mitigating the urban heat island (UHI). This paper explores this relationship within central Beijing, an area located within the 2nd Ring Road. The urban variables include the Normalized Difference Vegetation Index (NDVI), the Normalized Difference Build-up Index (NDBI), the area of building footprints, the area of main roads, the area of water bodies and a gravity index for parks that account for both park size and distance. The data are captured over 8 grids of square cells (30 m, 60 m, 90 m, 120 m, 150 m, 180 m, 210 m, 240 m). The research involves: (1) estimating land surface temperatures using Landsat 8 satellite imagery, (2) building the database of urban variables, and (3) conducting regression analyses. The results show that (1) all the variables impact surface temperatures, (2) spatial regressions are necessary to capture neighboring effects, and (3) higher-order polynomial functions are more suitable for capturing the effects of NDVI and NDBI.

Copyright © 2018 Elsevier B.V. All rights reserved.

Language: en

Keywords

Central Beijing; Land uses; Parks; Spatial regression; Urban heat island