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Sheehan, Emma V.; Vaz, Sandrine; Pettifer, Erin; Foster, Nicola L.; Nancollas, Sarah J.; Cousens, Sophie; Holmes, Luke; Facq, Jean-valery; Germain, Gregory; Attrill, Martin J.. |
Managing ecological systems, which operate over large spatial scales, is inherently difficult and often requires sourcing data from different countries and organizations. The assumption might be made that data collected using similar methodologies are comparable, but this is rarely tested. Here, benthic video data recorded using different towed underwater video systems (TUVSs) were experimentally compared. Three technically different TUVSs were compared on different seabed types (rocky, mixed ground and sandy) in Kingmere Marine Conservation Zone, off the south coast of England. For each TUVS, species metrics (forward facing camera), seabed impact (backward facing camera) and operational performance (strengths and limitations of equipment and video... |
Tipo: Text |
Palavras-chave: Environmental management; Marine protected area; Meta-analyses; Sampling impact; Towed video; Underwater imagery. |
Ano: 2016 |
URL: https://archimer.ifremer.fr/doc/00319/42984/42659.pdf |
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Taormina, Bastien; Marzloff, Martin; Desroy, Nicolas; Caisey, Xavier; Dugornay, Olivier; Metral Thiesse, Emmanuelle; Tancray, Aurelien; Carlier, Antoine. |
Underwater imagery is increasingly used as an effective and repeatable method to monitor benthic ecosystems. Nevertheless, extracting ecologically relevant information from a large amount of raw images remains a time-consuming and somewhat laborious challenge. Thus, underwater imagery processing needs to strike a compromise between time-efficient image annotation and accuracy in quantifying benthic community composition. Designing and implementing robust image sampling and image annotation protocols are therefore critical to rationally address these trade-offs between ecological accuracy and processing time. The aim of this study was to develop and to optimize a reliable image scoring strategy based on the point count method using imagery data acquired on... |
Tipo: Text |
Palavras-chave: Benthic monitoring; Fouling community; Sampling design; Taxonomic resolution; Underwater imagery. |
Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00599/71160/69550.pdf |
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