66 research outputs found
A field and video-annotation guide for baited remote underwater stereo-video surveys of demersal fish assemblages
Researchers TL, BG, JW, NB and JM were supported by the Marine Biodiversity Hub through funding from the Australian Government's National Environmental Science Program. Data validation scripts and GlobalArchive.org were supported by the Australian Research Data Commons, the Gorgon-Barrow Island Gorgon Barrow Island Net Conservation Benefits Fund, administered by the Government of Western Australia and the BHP/UWA Biodiversity and Societal Benefits of Restricted Access Areas collaboration.1. Baited remote underwater stereo-video systems (stereo-BRUVs) are a popular tool to sample demersal fish assemblages and gather data on their relative abundance and body-size structure in a robust, cost-effective, and non-invasive manner. Given the rapid uptake of the method, subtle differences have emerged in the way stereo-BRUVs are deployed and how the resulting imagery are annotated. These disparities limit the interoperability of datasets obtained across studies, preventing broad-scale insights into the dynamics of ecological systems. 2. We provide the first globally accepted guide for using stereo-BRUVs to survey demersal fish assemblages and associated benthic habitats. 3. Information on stereo-BRUV design, camera settings, field operations, and image annotation are outlined. Additionally, we provide links to protocols for data validation, archiving, and sharing. 4. Globally, the use of stereo-BRUVs is spreading rapidly. We provide a standardised protocol that will reduce methodological variation among researchers and encourage the use of Findable, Accessible, Interoperable, and Reproducible (FAIR) workflows to increase the ability to synthesise global datasets and answer a broad suite of ecological questions.Publisher PDFPeer reviewe
Habitat Specialization in Tropical Continental Shelf Demersal Fish Assemblages
The implications of shallow water impacts such as fishing and climate change on fish assemblages are generally considered in isolation from the distribution and abundance of these fish assemblages in adjacent deeper waters. We investigate the abundance and length of demersal fish assemblages across a section of tropical continental shelf at Ningaloo Reef, Western Australia, to identify fish and fish habitat relationships across steep gradients in depth and in different benthic habitat types. The assemblage composition of demersal fish were assessed from baited remote underwater stereo-video samples (nâ=â304) collected from 16 depth and habitat combinations. Samples were collected across a depth range poorly represented in the literature from the fringing reef lagoon (1â10 m depth), down the fore reef slope to the reef base (10â30 m depth) then across the adjacent continental shelf (30â110 m depth). Multivariate analyses showed that there were distinctive fish assemblages and different sized fish were associated with each habitat/depth category. Species richness, MaxN and diversity declined with depth, while average length and trophic level increased. The assemblage structure, diversity, size and trophic structure of demersal fishes changes from shallow inshore habitats to deeper water habitats. More habitat specialists (unique species per habitat/depth category) were associated with the reef slope and reef base than other habitats, but offshore sponge-dominated habitats and inshore coral-dominated reef also supported unique species. This suggests that marine protected areas in shallow coral-dominated reef habitats may not adequately protect those species whose depth distribution extends beyond shallow habitats, or other significant elements of demersal fish biodiversity. The ontogenetic habitat partitioning which is characteristic of many species, suggests that to maintain entire species life histories it is necessary to protect corridors of connected habitats through which fish can migrate
Geometric consistency and stability of consumer-grade digital cameras for accurate spatial measurement
This is a journal article. It was published in the journal, The Photogrammetric Record [© Remote Sensing and Photogrammetry Society and Blackwell Publishing Ltd] and the definitive version is available at: http://www3.interscience.wiley.com/journal/118539355/homeIt is known that uncertain internal geometry of consumer-grade
digital cameras limits the accuracy of data that can be extracted. These
cameras can be calibrated, but the validity of calibration data over a
period of time should be carefully assessed before subsequent
photogrammetric measurement. This paper examines the geometric
stability and manufacturing consistency of a typical low-cost digital
camera (Nikon Coolpix 5400) by estimating the degree of similarity
between interior orientation parameters (IOP), established over a oneyear
period. Digital elevation models (DEMs) are extracted with
differing interior orientation parameters (IOP) sets and accuracies are
compared using data obtained from seven identical cameras. An
independent self-calibrating bundle adjustment (GAP) and the Leica
Photogrammetry Suite (LPS) software were used to provide these datasets.
Results are presented that indicate the potential of these cameras to
maintain their internal geometry in terms of temporal stability and
manufacturing consistency. This study also identifies residual systematic
error surfaces or âdomesâ, discernible in âDEMs of differenceâ. These
are caused by slightly inaccurately estimated lens distortion parameters,
which effectively constrain the accuracies achievable with this class of
sensor
A novel method to obtain accurate length estimates of carnivorous reef fishes from a single video camera
Perspectives in visual imaging for marine biology and ecology: from acquisition to understanding
Durden J, Schoening T, Althaus F, et al. Perspectives in Visual Imaging for Marine Biology and Ecology: From Acquisition to Understanding. In: Hughes RN, Hughes DJ, Smith IP, Dale AC, eds. Oceanography and Marine Biology: An Annual Review. 54. Boca Raton: CRC Press; 2016: 1-72
Photogrammetric error sources and impacts on modeling and surveying in construction engineering applications
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