In this paper, the authors describe the architecture of a multidisciplinary data acquisition and visualization platform devoted to the management of coastal environments. The platform integrates heterogeneous data acquisition sub-systems that can be roughly divided into two main categories: remote sensing systems and in situ sensing systems. Remote sensing solutions that are going to be implemented include aerial and underwater data acquisition while in situ sensing solutions include the use of Radio Frequency IDentification (RFID) tracers, Wireless Sensor Networks and imaging techniques. All the data collected by these subsystems are stored, integrated and fused on a single platform that is also in charge of data visualization and analysis. This last task is carried out according to the paradigm of Augmented Virtuality that foresees the augmentation of a virtually reconstructed environment with data collected in the real world. The described solution proposes a novel holistic approach where different disciplines concur, with different data acquisition techniques, to a large scale definition of coastal dynamics, in order to better describe and face the coastal erosion phenomenon. The overall framework has been conceived by the so-called Team COSTE, a joint research team between the Universities of Pisa, Siena and Florence.

Bartolini, S., Mecocci, A., Pozzebon, A., Zoppetti, C., Bertoni, D., Sarti, G., et al. (2018). Augmented virtuality for coastal management: a holistic use of in situ and remote sensing for large scale definition of coastal dynamics. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 7(3) [10.3390/ijgi7030092].

Augmented virtuality for coastal management: a holistic use of in situ and remote sensing for large scale definition of coastal dynamics

Bartolini, Sandro;Mecocci, Alessandro;Pozzebon, Alessandro
;
Zoppetti, Claudia;
2018-01-01

Abstract

In this paper, the authors describe the architecture of a multidisciplinary data acquisition and visualization platform devoted to the management of coastal environments. The platform integrates heterogeneous data acquisition sub-systems that can be roughly divided into two main categories: remote sensing systems and in situ sensing systems. Remote sensing solutions that are going to be implemented include aerial and underwater data acquisition while in situ sensing solutions include the use of Radio Frequency IDentification (RFID) tracers, Wireless Sensor Networks and imaging techniques. All the data collected by these subsystems are stored, integrated and fused on a single platform that is also in charge of data visualization and analysis. This last task is carried out according to the paradigm of Augmented Virtuality that foresees the augmentation of a virtually reconstructed environment with data collected in the real world. The described solution proposes a novel holistic approach where different disciplines concur, with different data acquisition techniques, to a large scale definition of coastal dynamics, in order to better describe and face the coastal erosion phenomenon. The overall framework has been conceived by the so-called Team COSTE, a joint research team between the Universities of Pisa, Siena and Florence.
2018
Bartolini, S., Mecocci, A., Pozzebon, A., Zoppetti, C., Bertoni, D., Sarti, G., et al. (2018). Augmented virtuality for coastal management: a holistic use of in situ and remote sensing for large scale definition of coastal dynamics. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 7(3) [10.3390/ijgi7030092].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1041018