Improving hydrological and vegetation modelling using regional model calibration schemes together with remote sensing data
Remotely sensed data are widely used for estimating hydrological variables, such as land surface soil moisture, land surface evapotranspiration and catchment runoff because they provide temporally dynamic and spatially explicit information on land surface characteristics. Passive microwave observations have been used to infer surface soil moisture information because they are not affected by cloud cover and there is a physical relationship relating emissions to soil water. Remote sensing...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of MODSIM 2011 International Congress on Modelling and Simulation|
|01_Zhang _Improving_hydrological_and_2011.pdf||287.71 kB||Adobe PDF|
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