APPLICATION OF REMOTE SENSING TO STUDYING THE HEAT ISLAND EFFECT IN GUANGZHOU CITY ZONE
Cai Rui
Abstract
Cai Rui
Abstract
Based on the inversed method of Land Surface Temperature(LST)of radiation transmission equation,LST of the Guangzhou City zone in 1988,1995 and 2002 were retrieved from landsat TM/ETM+ thermal infrared data.The temporal and spatial evaluative pattern of heat island extension and the factors of heat island effect formation were analyzed.The results showed that heat island effect in Guangzhou is distinct,and its extension is broad and broadening and its spatial distribution presents the characters there lines and four districts.Through comparison and analysis of LST,LST of old urban district is 3.7~4.2 ℃ lower than high LST district and 2.9~3.3 ℃ higher than low LST district.The heat island intensity is 6.6~7.6 ℃.It is very correlative among urban function distribution,human activities and spatial distribution of heat island effect,which are also the key factors to impact urban heat environment.
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Based on the inversed method of Land Surface Temperature(LST)of radiation transmission equation,LST of the Guangzhou City zone in 1988,1995 and 2002 were retrieved from landsat TM/ETM+ thermal infrared data.The temporal and spatial evaluative pattern of heat island extension and the factors of heat island effect formation were analyzed.The results showed that heat island effect in Guangzhou is distinct,and its extension is broad and broadening and its spatial distribution presents the characters there lines and four districts.Through comparison and analysis of LST,LST of old urban district is 3.7~4.2 ℃ lower than high LST district and 2.9~3.3 ℃ higher than low LST district.The heat island intensity is 6.6~7.6 ℃.It is very correlative among urban function distribution,human activities and spatial distribution of heat island effect,which are also the key factors to impact urban heat environment.
Key concepts: Urban heat island, Geography, Spatial distribution, Intensity (physics), Remote sensing, Thermal pollution, Distribution (mathematics), Environmental science