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. Copyright © 2012 IAHS Press.

Cammalleri, C., Anderson, M.C., Ciraolo, G., D’Urso, G., Kustas, W.P., Hain, C., et al. (2012). Analysis of energy fluxes estimations over Italy using time-differencing models based on thermal remote sensing data. In C. Neale, M.H. Cosh (a cura di), Remote Sensing and Hydrology (pp. 124-127). WALLINGFORD : IAHS PRESS.

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

CAMMALLERI, Carmelo;CIRAOLO, Giuseppe;D'URSO, GUIDO
2012-01-01

Abstract

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. Copyright © 2012 IAHS Press.
Settore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologia
Settore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali
Cammalleri, C., Anderson, M.C., Ciraolo, G., D’Urso, G., Kustas, W.P., Hain, C., et al. (2012). Analysis of energy fluxes estimations over Italy using time-differencing models based on thermal remote sensing data. In C. Neale, M.H. Cosh (a cura di), Remote Sensing and Hydrology (pp. 124-127). WALLINGFORD : IAHS PRESS.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/64043
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