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

Auteur(s) et Affiliation(s)

LIU, Y.

Inst. of Geographic Sciences and Natural Resources Research, Beijing, Chine

Graduate Univ. of Chinese Academy of Sciences, Beijing, Chine

SHINTARO, G.

Rissho Univ., Saitama, Japon

ZHUANG, D.

Inst. of Geographic Sciences and Natural Resources Research, Beijing, Chine

KUANG, W.

Inst. of Geographic Sciences and Natural Resources Research, Beijing, Chine

Description :
Using ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) infrared remote sensing data the AA. inversed the parameters of urban surface heat fluxes applying the PCACA model and theoretical position algorithm, and then they 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 they found that different land-use types have indicated the height heterogeneity on the surface heat fluxes significantly.

Type de document :
Article de périodique

Source :
Journal of geographical sciences. Acta geographica sinica, issn : 1009-637X, 2012, vol. 22, n°. 4, p. 699-715, nombre de pages : 17, Références bibliographiques : 45 ref.

Date :
2012

Editeur :
Pays édition : Chine

Langue :
Anglais