Percorrer por autor "Pieri, Gabriele"
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- MEC: A Mesoscale events classifier for oceanographic imageryPublication . Pieri, Gabriele; Janeiro, João; Martins, Flávio; Papini, Oscar; Reggiannini, MarcoThe observation of the sea through remote sensing technologies plays a fundamentalan role in understanding the state of health of marine fauna species and their behaviour. Mesoscale phenomena, such as upwelling, countercurrents, and filaments, are essential processes to be analysed because their occurrence involves, among other things, variations in the density of nutrients, which, in turn, influence the biological parameters of the habitat. Indeed, there is a connection between the biogeochemical and physical processes that occur within a biological system and the variations observed in its faunal populations. This paper concerns the proposal of an automatic classification system, namely the Mesoscale Events Classifier, dedicated to the recognition of marine mesoscale events. The proposed system is devoted to the study of these phenomena through the analysis of sea surface temperature images captured by satellite missions, such as EUMETSAT’s Metop and NASA’s Earth Observing System programmes. The classification of these images is obtained through (i) a preprocessing stage with the goal to provide a simultaneous representation of the spatial and temporal properties of the data and enhance the salient features of the sought phenomena, (ii) the extraction of temporal and spatial characteristics from the data and, finally, (iii) the application of a set of rules to discriminate between different observed scenarios. The results presented in this work were obtained by applying the proposed approach to images acquired in the southwestern region of the Iberian peninsula.
- New approach to underwater technologies for innovative, low-cost ocean observation (nautilos): operational field primary capture systemPublication . Novellino, Antonio; Martins, Flávio; Pieri, Gabriele; Misurale, FrancescoThe large variety of platforms and sensors globally deployed and available, allows access to a conspicuous quantity of data and variables with heterogeneous formats and scales. In the last decades governments and the scientific world have encouraged standardizations and best practices for data collection, elaboration and distribution. Several initiatives had led the bases for globally shared practices and quality indexes. This paper aims at giving a state of the art concerning the existing best practices and quality indices of the most important platforms, initiatives and projects for the scope of NAUTILOS - New Approach to Underwater Technologies for Innovative, Low-cost Ocean observation - H2020 project (www.nautilosh-2020.eu; ct. 101000825)
