PROGRESS IN GEOGRAPHY ›› 2018, Vol. 37 ›› Issue (10): 1362-1370.doi: 10.18306/dlkxjz.2018.10.006

Special Issue: 气候变化与地表过程

• Articles • Previous Articles     Next Articles

Scale effect of the spatial correlation between urban land surface temperature and NDVI

Yinghui JIANG1,2(), Limin JIAO1,2,*(), Boen ZHANG1,2   

  1. 1. School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
    2. Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, Wuhan 430079, China
  • Received:2017-12-13 Revised:2018-04-26 Online:2018-10-28 Published:2018-10-28
  • Contact: Limin JIAO E-mail:jiangyinghui@whu.edu.cn;lmjiao027@163.com
  • Supported by:
    National Natural Science Foundation of China, No.41571385

Abstract:

The spatial correlation between urban land surface temperature (LST) and vegetation coverage (NDVI) has been widely studied, but its scale effect is often ignored, which brings uncertainty to the results. Taking Zhengzhou City as an example and based on four Landsat8 images, this study retrieved the land surface temperature by the radiation conduction method, and identified the spatial correlation analysis scale of the land surface temperature by using the semivariance function. It then combined the spatial correlation index Moran's I to discuss the spatial correlation between land surface temperature and vegetation coverage from three aspects: multi-scales, multi-seasons, and multi-adjacent ranges. The results show that: (1) Both the univariate spatial autocorrelation scale and bivariate spatial correlation scale of LST and NDVI are around 300 m; (2) Within the 300 m correlation scale, there is a significant scale effect in the univariate spatial autocorrelation, but the scale effect of bivariate spatial correlation is much weaker by comparison; (3) The univariate spatial autocorrelation and bivariate spatial correlation scale effects of LST and NDVI show significant seasonal differences; (4) With the increase of adjacent range, the spatial autocorrelation of LST and NDVI weakens, and the scale effect is more obvious. Therefore, to measure the spatial correlation between LST and NDVI, spatiotemporal scale effect should be taken into consideration. This study should be helpful for further understanding the scale effect of spatial correlation between LST and NDVI.

Key words: land surface temperature, NDVI, semi-variogram, spatial correlation, scale effect, Zhengzhou City