14825.pdf
The aim of the present paper is to define the advantage to use innovative techniques based on sperimental tool to supplement the traditional techniques in marine monitoring, through experience of CRSM-ARPACAL (Centro Regionale Strategia Marina) into two regional projects called "SIC Carlit"...
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Firenze University Press
2022
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oapen-20.500.12657-560932022-06-02T03:22:07Z Chapter L’applicazione di tecniche innovative nel monitoraggio costiero degli habitat prioritari Stocco, Rossella Cellini, Emilio Pirrera, Laura Priority habitats Carlit Posidonia oceanica Satellite imagery ASV APR The aim of the present paper is to define the advantage to use innovative techniques based on sperimental tool to supplement the traditional techniques in marine monitoring, through experience of CRSM-ARPACAL (Centro Regionale Strategia Marina) into two regional projects called "SIC Carlit" and "Musmap". Both projects have shown that in the monitoring of coastal marine ecosystems the sperimental techniques to supplement traditional methods can provide more accurate and data with reduced costs and times of work. 2022-06-01T12:13:25Z 2022-06-01T12:13:25Z 2020 chapter ONIX_20220601_9788855181471_276 2704-5846 9788855181471 https://library.oapen.org/handle/20.500.12657/56093 ita Proceedings e report application/pdf Attribution 4.0 International 14825.pdf https://books.fupress.com/doi/capitoli/978-88-5518-147-1_62 Firenze University Press 10.36253/978-88-5518-147-1.62 10.36253/978-88-5518-147-1.62 bf65d21a-78e5-4ba2-983a-dbfa90962870 9788855181471 126 12 Florence open access |
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The aim of the present paper is to define the advantage to use innovative techniques based on sperimental tool to supplement the traditional techniques in marine monitoring, through experience of CRSM-ARPACAL (Centro Regionale Strategia Marina) into two regional projects called "SIC Carlit" and "Musmap". Both projects have shown that in the monitoring of coastal marine ecosystems the sperimental techniques to supplement traditional methods can provide more accurate and data with reduced costs and times of work. |
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Firenze University Press |
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2022 |
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https://books.fupress.com/doi/capitoli/978-88-5518-147-1_62 |
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