Fernando Vicente-Guijalba

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—A set of ten Radarsat-2 images acquired in fully polarimetric mode over a test site with rice fields in Seville, Spain, has been analysed to extract the main features of the C-band radar backscatter as a function of rice phenology. After observing the evolutions vs phenology of different polarimetric observables and explaining their behaviour in terms of(More)
—In this work a new approach for crop phenology estimation with remote sensing is presented. The proposed methodology is aimed to exploit tools from a dynamical system context. From a temporal sequence of images, a geometrical model is derived which allows us to translate this temporal domain into the estimation problem. The evolution model in state space(More)
—Information of crop phenology is essential for evaluating crop productivity. In a previous work, we determined phenological stages with remote sensing data using a dynamic system framework and an extended Kalman filter (EKF) approach. In this paper, we demonstrate that the particle filter is a more reliable method to infer any phenological stage compared(More)