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Linking the terrestrial water cycles, carbon cycles and energy exchange, evapotranspiration (ET), which combines the surface evaporation and plant transpiration, is a key land surface parameter in water and heat balance of land, lake or river surface, and is central to earth system science. In this study, based on the MERRA reanalysis dataset and MODIS NDVI and LAI product, a support vector machine...
Evapotranspiration (ET) is the combination process of the surface evaporation and plant transpiration which occur simultaneously, and it links the terrestrial water cycles, carbon cycles and energy exchange. In this study, based on the observations from 242 global FLUXnet sites, with daily average temperature, relative humidity, wind speed, incident solar radiation, NDVI and observed ET as input data,...
The time-domain correlation information of wind generation is important for wind power utilization. This paper proposes a parametric approach for the short-term multiperiod joint probability density function (JPDF) forecast of wind generation. The approach makes a spot forecast of wind generation by using support vector machine (SVM), and the probability distribution of the SVM forecast error is estimated...
In this paper, we proposed a fully polarimetric SAR classification method based on the log-cumulants of texture parameter of the fully polarimetric SAR data. Unlike other classification algorithms that classify pixels by their scattering characteristics, this method will use a combination of the texture parameter of fully polarimetric SAR data and the Support Vector Machines (SVM) Classifier based...
The accurate observer and effective control of the stator flux for electrically excited synchronous motor, has a significant sense to the performance improvement of direct torque control system. For this, a novel full-order closed-loop stator flux estimator suitable for full speed range was put forward and analyzed detailed in this paper, it pointed out that the estimator was composed of two estimator...
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