1. Shaanxi Earthquake Agency, Xi’an 710068, China; 2. National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China 3. Key Laboratory of Agri-informatics, Ministry of Agriculture, Beijing 100097, China 4. Beijing Engineering Research Center of Agricultural Internet of Things, Beijing 100097, China 5. Xi’an Zhongtianweidi Surveying & Mapping Technology Co.,Ltd., Xi’an 710054, China; 6. College of Geomatics, Xi’an University of Science and Technology, Xi’an 710054, China; 7. Xi’an Aerospace Tian Painted Data Technology Co., Ltd., Xi’an 710054, China;
In order to study the temporal-spatial variation of the urban heat island effect over Beijing since 1985, the authors utilized the 7 phases of Landsat TM/ETM+/TIRS images in summer to perform retrieval of the land surface brightness temperature so as to replace the true land surface temperature(LST). And the LST data were used for a series of qualitative and quantitative analysis of urban heat island effect to reveal Beijing heat distribution and the characteristics of urban heat island effect. Some conclusions have been reached: ① The high-temperature regions and sub-high temperature regions are continuously centralized to the urban area, but the high-temperature regions in Dongcheng District and Xicheng District show a significant downward trend, and the large scale of heat island is replaced by the small heat islands;② The influence of industrial estate on the urban heat island effect in Beijing is much higher than that of the residential district in Beijing;③ The temperature of the areas with low-rise and dense buildings and low vegetation coverage are much higher than the temperature of the areas with tall and sparse buildings and high vegetation coverage. The results of the study would play an important role in urban planning in that they provide the reference frame for the government departments to reduce the impact of urban heat island effect based on rational planning of the distribution of water, green land,industrial estate and residential areas.
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2018, Vol. 30 
), 王艳杰2,3,4, 张勇峰5, 张智宏6, 孙晨红7
