Journal of Geographical Sciences ›› 2012, Vol. 22 ›› Issue (4): 699-715.doi: 10.1007/s11442-012-0957-7

• Applications of GIS • Previous Articles     Next Articles

Urban surface heat fluxes infrared remote sensing inversion and their relationship with land use types

LIU Yue1,2, SHINTARO Goto3, ZHUANG Dafang1, KUANG Wenhui1   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China;
    3. Rissho University, Saitama 3600194, Japan
  • Received:2011-11-08 Revised:2012-03-20 Online:2012-08-15 Published:2012-07-10
  • Supported by:

    The Young Scientist Fund of National Natural Science Foundation of China, No.40901224; National Basic Research Program of China, No.2010CB950900; Open Fund of State Key Laboratory of Remote Sensing Science, No.2009KFJJ005


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.

Key words: heat fluxes, sensible heat, latent heat, land cover types, remote sensing