Title :
Analysis of the relationship between urban heat island and vegetation cover through Landsat ETM+:A case study of Shenyang
Author :
Lian, Shollzhen ; Shi, Ping
Author_Institution :
Yantai Inst. of Coastal Zone Res. for Sustainable Dev., CAS, Yantai, China
Abstract :
Urban heat island is a phenomenon that the temperature of urban area is higher than surrounding rural area or suburban area, which is considered as one of major problems in the 21st century posed to human beings. With the extension of urban area, the phenomenon shows an increasing trend. So we must find the critical factor and analyze the relationship between them in order to resolve the problem of urban heat island. In this paper the heat island in Shenyang and the relation between urban heat island and vegetation were analyzed based on Landsat ETM+ data. After correcting the data using the 6s radiative transfer code and atmospheric correction tool developed by Barsi et al., the land surface temperature was derived from thermal infrared data according to Planck function and vegetation index (NDVI) was derived according to the ratio visible band and near infrared band. The results show that the temperature difference is large so that the urban heat island effect is obvious in Shenyang city and there is a strong linearly negative correlation between land surface temperature and NDVI. This is probably due to the ecological function of vegetation in cooling down the surface from high evapotranspiration. Though the urban heat island is complex and the vegetation is only an influential factor, the result of this study can be useful for policy-makers, planners, and the general public to understand urban heat island and realize what kinds of urban heat land mitigation strategies are available.
Keywords :
atmospheric temperature; ecology; evaporation; land surface temperature; radiative transfer; remote sensing; transpiration; vegetation; China; Landsat ETM+; Planck function; Shenyang; code radiative transfer; ecological function; evapotranspiration; influential factor; land surface temperature; mitigation strategies; near infrared band; thermal infrared data; urban heat island-vegetation cover relationship; urban temperature; vegetation index; visible band; Cities and towns; Cooling; Humans; Land surface; Land surface temperature; Remote sensing; Satellites; Thermal pollution; Urban areas; Vegetation;
Conference_Titel :
Urban Remote Sensing Event, 2009 Joint
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3460-2
Electronic_ISBN :
978-1-4244-3461-9
DOI :
10.1109/URS.2009.5137474