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	Urban surface heat fluxes infrared remote sensing inversion and their relationship with land use types
	Liu Y. ; Shintaro G. ; Zhuang D. F. ; Kuang W. H.
	2012
关键词	heat fluxes sensible heat latent heat land cover types remote sensing use/land cover temperature radiation model aster
英文摘要	Using ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) infrared remote sensing data we inversed the parameters of urban surface heat fluxes applying the PCACA model and theoretical position algorithm, and then we analyzed the influence of different land use types on the surface heat fluxes and energy balance. In this study, Kumagaya, a city in Saitama Prefecture, Japan, was selected as the experimental area. The result shows that the PCACA model is feasible for the surface heat fluxes estimation in urban areas because this model requires less parameters in the procedure of heat fluxes estimation in urban areas with complicated surface structure and can decrease the uncertainty. And we found that different land-use types have indicated the height heterogeneity on the surface heat fluxes significantly. The magnitudes of Bowen ratio in descending order are industrial, residential, transportation, institutional, dry farmland, green space, and water body. Under the same meteorological condition, there are distinct characteristics and regional differences in Bowen ratios among different surface covers, indicating higher sensible heat flux and lower latent heat flux in the urban construction land, while lower sensible heat flux and higher latent heat flux in the vegetation-covered area, the outskirt of the urban area. The increase of urban impervious surface area caused by the urban sprawl can enlarge the sensible heat flux and the Bowen ratio, so that it causes the increasing of urban surface temperature and air temperature, which is the mechanism of the so-called heat island effect.
出处	Journal of Geographical Sciences
卷	22
期	4
页	699-715
收录类别	SCI
语种	英语
ISSN号	1009-637X
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/26849]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Liu Y.,Shintaro G.,Zhuang D. F.,et al. Urban surface heat fluxes infrared remote sensing inversion and their relationship with land use types. 2012.

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