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• W2879433601 abstract "We propose here a first attempt at meta-scale mapping for long-term marine ecosystem management by prototyping, advancing and applying an intelligent vision system to map the marine estate. We will offer a first glimpse at data collection that crosses scales using IR, colour and depth imagery data from the millimetric to the metric scale. We used proprietary hardware and algorithms to look at the activity of Polychaete worms (a recognized indicator of a healthy estuary environment) across spatial, temporal and physical scales, from micro to macro level. While our estimation of worm counts correlated weakly with manual expert ground truth, our system allowed a scaling of worm activity at various levels, which is a first attempt at marine ecosystem meta-scale mapping capabilities. The field investigations took place on a stretch of intertidal area in the Auckland Region near the Leigh Marine Laboratory, which allows easy access to a typical marine ecosystem, ensures natural illumination, and is rich in complex interactions in the underwater biotic/abiotic interface." @default.
• W2879433601 created "2018-07-19" @default.
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• W2879433601 date "2017-12-01" @default.
• W2879433601 modified "2023-09-27" @default.
• W2879433601 title "A multi-scale framework for the automated surveying of the Whangateau estuary using off-the-shelf equipment" @default.
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• W2879433601 doi "https://doi.org/10.1109/ivcnz.2017.8402506" @default.
• W2879433601 hasPublicationYear "2017" @default.
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