DocumentCode :
2122530
Title :
Utility of remote sensing based two-source energy balance model to estimate land surface fluxes during SMACEX
Author :
Li, Fuqin ; Kustas, William P. ; Jackson, Thomas J. ; Prueger, John H.
Author_Institution :
ARS Hydrol. & Remote Sensing Lab., USDA, Beltsville, MD, USA
Volume :
2
fYear :
2004
fDate :
20-24 Sept. 2004
Firstpage :
1327
Abstract :
A two-source(soil+vegetation) energy balance model using radiometric surface temperature as a key boundary condition was applied to remote sensing data collected under a range of crop cover and soil moisture conditions during the Soil Moisture Atmosphere Coupling Experiment(SMACEX). Two formulations of the heat exchange, one allowing interaction between the soil and vegetation(series version) and another neglecting such interaction (parallel version) were evaluated. Comparison of local model output with tower-based flux observations indicated that both the parallel and series resistance formulations produced similar estimates with root-mean-square-differences(RMSD) values ranging from approximately 20 to 50 W m-2 for net radiation and latent heat fluxes, respectively. Although both the series and parallel versions gave similar results, the parallel resistance formulation was more sensitive to model parameter specification, particularly in accounting for vegetation clumping via row crop planting effects on flux partitioning.
Keywords :
atmospheric boundary layer; atmospheric radiation; crops; land surface temperature; moisture; radiometry; remote sensing; soil; RMSD value; SMACEX; Soil Moisture Atmosphere Coupling Experiment; boundary condition; crop cover range; heat exchange; land surface flux; latent heat flux; local model output; model parameter specification; net radiation flux; parallel/series resistance formulation; radiometric surface temperature; remote sensing utility; root-mean-square-differences; row crop planting effect; soil moisture condition; soil/vegetation energy balance model; tower-based flux observation; vegetation clumping; Atmospheric modeling; Boundary conditions; Crops; Land surface; Land surface temperature; Radiometry; Remote sensing; Soil moisture; Temperature distribution; Temperature sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Print_ISBN :
0-7803-8742-2
Type :
conf
DOI :
10.1109/IGARSS.2004.1368662
Filename :
1368662
Link To Document :
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