Research on Surface Temperature Inversion and its Application in Chongqing Based on Split Window Algorithm
In order to explore the inversion of surface temperature in Chongqing,this paper uses MODIS data and combines with split window algorithm to research.It reveals the unique thermal environment performance of Chongqing by analyzing geographical features,urban layout,and climate conditions.The research results indicate that the overall temperature in the urban area of Chongqing in June shows the trend of high temperature in the northwest and low temperature in the southeast,radiating from the central urban area.The spatial distribution pattern of surface temperature is positively correlated with its building index,while negatively correlated with the normalized vegetation index.The terrain drop is the main controlling factor affecting the surrounding environmental temperature.
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