Guido Pasquariello

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—This paper presents a retrieval algorithm that estimates spatial and temporal distribution of volumetric soil moisture content, at an approximate depth of 5 cm, using multi-temporal ENVISAT Advanced Synthetic Aperture Radar (ASAR) alternating polarization images, acquired at low incidence angles (i.e., from 15 to 31). The algorithm appropriately(More)
In this paper a new approach to performing change detection analyses based on a combination of supervised and unsupervised techniques is presented. Two remotely sensed, independently classified images are compared. The change estimation is performed according to the Post Classification Comparison (PCC) method if the posterior probability values are(More)
Water quality monitoring is nowadays one of the most studied topic in the world, due to the useful information that it can give to the global changing understanding. Remote Sensing data, once processed, providing a regular and synoptic view of oceans colors, are a powerful instrument to study the marine biosphere, its spatial characteristics and its(More)