A simple model for estimating regional-scale surface fluxes using thermal infrared remote sensing
1999
Anderson, M.C. | Norman, J.M. | Mecikalski, J.R. | Diak, G.R.
A two-source (soil+vegetation) model of the land surface energy balance, using primarily inputs that can be derived through remote sensing, is developed and applied over regional scales at a horizontal resolution of 10 km. The main input signal driving this partitioning algorithm is the time-change in surface brightness temperature during the morning hours, which can be measured from a geostationary satellite platform such as GOES (Geostationary Operational Environmental Satellite). Other important inputs, including vegetation cover and type, can be derived from platforms like the Advanced Very-High Resolution Radiometer (AVHRR) satellite. The model requires only a modicum of surface-based measurements, thus it is well-suited for large, continental-scale applications. The input data assembly process is discussed, and model-generated fluxes are compared with surface measurements acquired during the Southern Great Plains (SGP-97) Hydrology Experiment conducted during the summer of 1997. These comparisons appear quite promising. Model improvements and verification strategies to be applied in the future are outlined briefly
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