14813.pdf
The study assesses consumer drone efficiency for surveying shallow-water benthic cover. We hypothesised that using a drone would reduce duration, and manpower requirements, while increasing accuracy, relative to manual surveys. Results obtained during this study clearly indicated that automated dron...
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Firenze University Press
2022
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| Διαθέσιμο Online: | https://books.fupress.com/doi/capitoli/978-88-5518-147-1_50 |
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oapen-20.500.12657-56060 |
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oapen-20.500.12657-560602022-06-02T03:21:43Z Chapter A drone’s eye view: A preliminary assessment of the efficiency of drones in mapping shallow-water benthic assemblages Bellia, Andrea Francesca Evans, Julian Lanfranco, Sandro Drones Drone survey Benthic mapping Aerial imagery Image analysis k-clustering The study assesses consumer drone efficiency for surveying shallow-water benthic cover. We hypothesised that using a drone would reduce duration, and manpower requirements, while increasing accuracy, relative to manual surveys. Results obtained during this study clearly indicated that automated drone surveys were faster and more accurate than manual survey methods under most circumstances. This result has important implications for the scientific and economic aspects of the process and would have a multiplicative effect in monitoring programs that require regular surveys. 2022-06-01T12:12:32Z 2022-06-01T12:12:32Z 2020 chapter ONIX_20220601_9788855181471_243 2704-5846 9788855181471 https://library.oapen.org/handle/20.500.12657/56060 eng Proceedings e report application/pdf Attribution 4.0 International 14813.pdf https://books.fupress.com/doi/capitoli/978-88-5518-147-1_50 Firenze University Press 10.36253/978-88-5518-147-1.50 10.36253/978-88-5518-147-1.50 bf65d21a-78e5-4ba2-983a-dbfa90962870 9788855181471 126 9 Florence open access |
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English |
| description |
The study assesses consumer drone efficiency for surveying shallow-water benthic cover. We hypothesised that using a drone would reduce duration, and manpower requirements, while increasing accuracy, relative to manual surveys. Results obtained during this study clearly indicated that automated drone surveys were faster and more accurate than manual survey methods under most circumstances. This result has important implications for the scientific and economic aspects of the process and would have a multiplicative effect in monitoring programs that require regular surveys. |
| title |
14813.pdf |
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14813.pdf |
| title_short |
14813.pdf |
| title_full |
14813.pdf |
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14813.pdf |
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14813.pdf |
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14813.pdf |
| publisher |
Firenze University Press |
| publishDate |
2022 |
| url |
https://books.fupress.com/doi/capitoli/978-88-5518-147-1_50 |
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