Analysis and study of urban heat environment and respirable particulate matter in Beijing city
ABSTRACT The phenomenon of temperature in urban cities is higher than that in suburbs is called Urban Heat Island (UHI), which is put forward by Lake Howard in 1833. Three main algorithms of land surface temperature retrieval of existing thermal infrared remote sensed data has been developed: single channel algorithm, split window algorithm and multi-band algorithm. The thesis selected split window algorithm and improves the split window algorithm of AVHRR to suit MODIS image data. This split window algorithm is based on the thermal radiation data which is observed by NOAA-AVHRR. This paper retrieved land surface temperature and analysis the spatial characteristics of Beijing urban heat island as well as its influencing factors. The result indicates that analysis on urban heat island effect based on split window algorithm of Beijing is available. There is a clear urban heat island in summer, and it is quite close with vegetation index. Besides, the negative correlation relationship between land surface temperature and Respirable Particulate Matter is also emphasizely analyzed.