Scheda di dettaglio – i prodotti della ricerca
| Dato | Valore |
|---|---|
| Title | Towards Sustainable Management of Mussel Farming through High-Resolution Images and Open Source Software--The Taranto Case Study |
| Abstract | This research activity, conducted in collaboration with the Aero-Naval Operations Department of the Guardia di Finanza of Bari as part of the Special Commissioner for urgent measures of reclamation, environmental improvements and redevelopment of Taranto's measurement, is based on the use of a high-resolution airborne sensor, mounted on board a helicopter to identify and map all in operation and abandoned mussel farming in the first and second inlet of Mar Piccolo. In addition, factors able to compromise the environmental status of the Mar Piccolo ecosystem were also evaluated. The methodological workflow developed lets extract significant individual frames from the captured video tracks, improves images by applying five image processing algorithms, georeferences the individual frames based on flight data, and implements the processed data in a thematic Geographical Information System. All mussel farms, in operation and derelict, all partially submerged and/or water-coated invisible to navigation poles and other elements such as illegal fishing nets and marine litter on the seabed up to about 2 m deep, have been identified and mapped. The creation of an instant, high-precision cartographic representation made it possible to identify the anthropogenic pressures on the Mar Piccolo of Taranto and the necessary actions for better management of the area. |
| Source | Remote sensing (Basel) |
| Keywords | mussel farming; high-resolution image; transitional water management; environmental pollution; open source software |
| Journal | Remote sensing (Basel) |
| Editor | Molecular Diversity Preservation International, Basel, |
| Year | 2021 |
| Type | Articolo in rivista |
| DOI | 10.3390/rs13152985 |
| Authors | Carmine Massarelli,Ciro Galeone,Ilaria Savino,Claudia Campanale and Vito Felice Uricchio |
| Text | 455659 2021 10.3390/rs13152985 mussel farming; high resolution image; transitional water management; environmental pollution; open source software Towards Sustainable Management of Mussel Farming through High Resolution Images and Open Source Software The Taranto Case Study Carmine Massarelli,Ciro Galeone,Ilaria Savino,Claudia Campanale and Vito Felice Uricchio Water Research Institute Italian National Research Council CNR IRSA , Via F. De Blasio 5 Zona Industriale, 70132 Bari, Italy Environmental Protection Agency of Apulia ARPA Puglia , Corso Trieste 27, 70126 Bari, Italy This research activity, conducted in collaboration with the Aero Naval Operations Department of the Guardia di Finanza of Bari as part of the Special Commissioner for urgent measures of reclamation, environmental improvements and redevelopment of Taranto s measurement, is based on the use of a high resolution airborne sensor, mounted on board a helicopter to identify and map all in operation and abandoned mussel farming in the first and second inlet of Mar Piccolo. In addition, factors able to compromise the environmental status of the Mar Piccolo ecosystem were also evaluated. The methodological workflow developed lets extract significant individual frames from the captured video tracks, improves images by applying five image processing algorithms, georeferences the individual frames based on flight data, and implements the processed data in a thematic Geographical Information System. All mussel farms, in operation and derelict, all partially submerged and/or water coated invisible to navigation poles and other elements such as illegal fishing nets and marine litter on the seabed up to about 2 m deep, have been identified and mapped. The creation of an instant, high precision cartographic representation made it possible to identify the anthropogenic pressures on the Mar Piccolo of Taranto and the necessary actions for better management of the area. Published version https //www.mdpi.com/2072 4292/13/15/2985 Articolo in rivista Molecular Diversity Preservation International 2072 4292 Remote sensing Basel Remote sensing Basel Remote sens. Basel Remote sensing. Basel claudiacampanale CAMPANALE CLAUDIA vitofelice.uricchio URICCHIO VITO FELICE carmine.massarelli MASSARELLI CARMINE |