Relationship of air temperature to NDVI and NDBI in Guangzhou City using spatial autoregressive model

doi:10.6046/gtzyyg.2018.02.25

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Abstract

To study the spatio-temporal pattern of the air temperature in Guangzhou City, the authors used MODIS monthly normalized difference vegetation index (NDVI) acquired in 2015 and extracted the normalized difference built-up index (NDBI) with Landsat8 OLI data. The correlation analysis method was used to explore the relationship between air temperature and NDVI, NDBI. The experimental results show that there is a negative relation between NDVI and air temperature and a positive relation between NDBI and air temperature. On such a basis, the spatial lag model (SLM) and spatial error model (SEM) were established to discuss the spatial relations between air temperature and NDVI, NDBI in different seasons, respectively. The SLM and SEM results were compared with the ordinary least square regression (OLS) model, which shows the best performance of the SLM and SEM models. The SLM model with higher R ² and lower AIC values performs slightly better than the SEM model. NDVI has more influence on air temperature from spring to autumn than NDBI. In the SLM model, the positive and significant spatial autoregressive coefficients indicate an active influence from neighboring meteorological stations.

Keywords spatial autoregressive model normalized difference built-up index(NDBI) normalized difference vegetation index(NDVI) air temperature

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Issue Date: 30 May 2018

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	Jianhui XU
	Yi ZHAO
	Minghong XIAO
	Kaiwen ZHONG
	Huihua RUAN

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Jianhui XU,Yi ZHAO,Minghong XIAO, et al. Relationship of air temperature to NDVI and NDBI in Guangzhou City using spatial autoregressive model[J]. Remote Sensing for Land & Resources, 2018, 30(2): 186-194.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2018.02.25 OR https://www.gtzyyg.com/EN/Y2018/V30/I2/186

Fig.1 Study area and distribution of automatic meteorological stations

Fig.2 Monthly NDVI of study area

Fig.3 NDBI data of study area

Fig.4 Scatter plots of air temperature and NDVI in different seasons

Fig.5 Scatter plots of air temperature and NDBI in different seasons

Tab.1 Parameters of three different spatial autoregressive models for air temperature in January

Tab.2 Parameters of three different spatial autoregressive models for air temperature in April

Tab.3 Parameters of three different spatial autoregressive models for air temperature in July

Tab.4 Parameters of three different spatial autoregressive models for air temperature in October

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