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Vegetation fraction is an important indicator of ecosystem change, a high spatial and temporal resolution vegetation fraction product was essential in many spatially distributed models. Recent developments of coarse resolution remote sensing (e.g. MODIS) provide the potential to estimate the vegetation fraction with a high temporal resolution. However, coarse resolution products usually provide insufficient...
Land degradation in Inner Mongolia, China is much severe. Remote sensing application on land degradation assessment can provide scientific basis for land degradation prevention in the study area. In this paper, land degradation was assessed by applying two improved relative Rain Use Efficiency (RUE) indicators based on time series MODIS NDVI data and high-resolution meteorological data from 2001 to...
A Gaussian sum particle filter using RBF Neural Network (BRF-GSPF) is proposed to deal with nonlinear sequential Bayesian estimation. The nonlinear non-Gaussian filtering and predictive distributions are approximated as weighted Gaussian mixtures, and mixtures components are gotten by RBF neural network. This method implements conveniently in parallel way by cancelling resampling that solves weight...
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