Authors: Mirzaei, M.; Advisor: -; Participants: - (2015)
Hyper-spectral measurements obtained using a GER 3700 spectra-radiometer including 584 narrow bands in spectral region of 400–2400 nm were applied to estimate vegetation water content (VWC). Developments in hyper spectral remote sensing have led to developing the new groups of spectral indices and statistical models for estimating biophysical and biochemical properties of vegetation. In this study a back - propagation neural network with three groups of input data set including all spectral bands, the first ten principal components and the best narrow band indices were applied separately as input to estimate the VWC. The suitability of the network efficiency was analyzed applying cros...
