Analysis of energy flux estimations over Italy using time-differencing models based on thermal remote sensing data

被引：0
|
作者：
Cammalleri, C. [1 ]
Anderson, M. C. [2 ]
Ciraolo, G. [1 ]
D'Urso, G. [3 ]
Kustas, W. P. [2 ]
Hain, C. [4 ]
Schultz, L. [4 ]
Mecikalski, J. R. [4 ]
机构：
[1] Univ Palermo, Dept Hydraul Engn & Environm Applicat, Palermo, Italy
[2] USDA ARS, Hydrol & Remote Sensing Lab, Beltsville, MD 20705 USA
[3] Univ Studi Napoli Federico II, Dept Agr Engn & Agron, Naples, Italy
[4] Univ AlabamaHuntsville, Dept Atmospher Sci, Huntsville, AL 35899 USA
来源：
REMOTE SENSING AND HYDROLOGY | 2012年 / 352卷
关键词：
actual evapotranspiration; geostationary satellite; time-differential surface energy balance; TEMPERATURE; SOIL;
D O I：
暂无
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
Large area estimations of land surface fluxes can be a useful operational tool for up-scaling local measurements and can serve as an upper-boundary condition for higher spatial resolution applications. Given hourly measurements of radiometric surface temperature from a geostationary satellite, it is possible to derive the partitioning of energy fluxes based on the influence of the evapotranspiration process on morning surface temperature rise. In this work, the Atmosphere Land Exchange Inverse (ALEXI) model and the Dual Temperature Difference (DTD) approach were applied in order to relate the sensible heat flux to time-differential remote observations of surface temperature obtained from Meteosat satellite data.
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页码：124 / +
页数：2
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