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)
Knowing the current phenological state of an agricultural crop is a powerful tool for precision farming applications. In the past, it has been estimated with remote sensing data by exploiting time series of Normalised Difference Vegetation Index (NDVI), but always at the end of the campaign and only providing results for some key states. In this work, a new(More)