Abstract
Abstract. Land surface temperature (LST) is an essential parameter in the physics of land surface processes. The spatiotemporal variations of LST on the Fujian province were studied using AQUA Moderate Resolution Imaging Spectroradiometer LST data. Considering the data gaps in remotely sensed LST products caused by cloud contamination, the Savitzky-Golay (S-G) filter method was used to eliminate the influence of cloud cover and to describe the periodical signals of LST. Observed air temperature data from 27 weather stations were employed to evaluate the fitting performance of the S-G filter method. Results indicate that S-G can effectively fit the LST time series and remove the influence of cloud cover. Based on the S-G-derived result, Spatial and temporal Variations of LST in Fujian province from 2001 to 2015 are analysed through slope analysis. The results show that: 1) the spatial distribution of annual mean LST generally exhibits consistency with altitude in the study area and the average of LST was much higher in the east than in the west. 2) The annual mean temperature of LST declines slightly among 15 years in Fujian. 3) Slope analysis reflects the spatial distribution characteristics of LST changing trend in Fujian.Improvement areas of LST are mainly concentrated in the urban areas of Fujian, especially in the eastern urban areas. Apparent descent areas are mainly distributed in the area of Zhangzhou and eastern mountain area.
Highlights
As an important parameter of energy exchange between land and atmosphere, LST is the basis for studying regional and global ecological environment and atmospheric science (Salama et al.2012; Van et al 2015)
The results show that: 1) the spatial distribution of annual mean LST generally exhibits consistency with altitude in the study area and the average of LST was much higher in the east than in the west
3) Slope analysis reflects the spatial distribution characteristics of LST changing trend in Fujian.Improvement areas of LST are mainly concentrated in the urban areas of Fujian, especially in the eastern urban areas
Summary
As an important parameter of energy exchange between land and atmosphere, LST is the basis for studying regional and global ecological environment and atmospheric science (Salama et al.2012; Van et al 2015). The change of LST will change the balance of material energy between the earth's surface and atmosphere, and influence the change of regional temperature, precipitation, vegetation and other ecological environment (Kerchove et al 2013; Piao et al 2014). Satellite remote sensing is an important approach for obtaining LST over wide temporal and spatial ranges(Dong-Li et al 2016). The remote sensing data is an 8-day MODIS LST product (MOD11A2) with a 1-km spatial resolution from 2001-2015 that is derived from AQUA satellites. Meteorological ata containing monthly mean temperature from 2001-2015 is derived from China meteorological data network
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