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TitleRemote sensing assessment of seaweed resources in western Ireland
DownloadDownload (whole publication)
AuthorRossiter, T; Casal, G; Furey, T; McCarthy, T; Stengel, D B
SourceProgram and abstracts: 2017 GeoHab Conference, Dartmouth, Nova Scotia, Canada; by Todd, B J; Brown, C J; Lacharité, M; Gazzola, V; McCormack, E; Geological Survey of Canada, Open File 8295, 2017 p. 101, https://doi.org/10.4095/305920 (Open Access)
LinksGeoHab 2017
Year2017
PublisherNatural Resources Canada
Meeting2017 GeoHab: Marine Geological and Biological Habitat Mapping; Dartmouth, NS; CA; May 1-4, 2017
Documentopen file
Lang.English
Mediaon-line; digital
RelatedThis publication is contained in Todd, B J; Brown, C J; Lacharité, M; Gazzola, V; McCormack, E; (2017). Program and abstracts: 2017 GeoHab Conference, Dartmouth, Nova Scotia, Canada, Geological Survey of Canada, Open File 8295
File formatpdf
AreaGalway Bay; Ireland
Lat/Long WENS -10.0000 -9.0000 53.2500 52.5000
Subjectsgeophysics; mapping techniques; oceanography; marine environments; coastal studies; conservation; marine organisms; marine ecology; resource management; biological communities; environmental studies; ecosystems; remote sensing; geophysical surveys; acoustic surveys, marine; side-scan sonar; sonar surveys; radiometric surveys; seaweed; fucoids; kelps; biology; habitat mapping; habitat conservation; habitat management; hyperspectral imagery; multispectral imagery
ProgramOcean Management Geoscience, Offshore Geoscience
Released2017 09 26
AbstractThe aim of this work is to develop an innovative and multi-disciplinary approach to assess the distribution and biomass of both intertidal fucoids (Ascoplyllum nodosum) and subtidal kelps (Laminariales) which are both of commercial and ecological importance in Ireland. We look to address the current deficit of information about these Irish seaweeds, which will underpin sustainable resource development.
Aerial hyperspectral imagery is used to assess A. nodosum populations and will enhance species discrimination in a spatially and spectrally heterogeneous environment like the intertidal zone. Kelp habitat assessment will be done using a multibeam system (MBES) on a small vessel. Field surveys will be used to ground-truth both A. nodosum and kelp distribution, evaluate morphology, and estimate biomass.
An aerial survey (July 2016) was conducted in western Ireland (Galway Bay) to survey A. nodosum using a Cessna 172 mounted with a Multispectral AIRINOV AgroSensor and a OCITM-U-1000 Ultra Compact Hyperspectral Imager. The flight plan was designed to cover as much of the intertidal zone as possible. Field-based surveys have been conducted at multiple sites to match algal species presence, composition and biomass within the A. nodosum beds along with a field-radiometry survey, using a TriOS RAMSES radiometer, to construct a spectral library of species and substrate to classify the remote sensing data. To improve the accuracy of the A. nodosum assessment, ground-truthing data are being collected on-foot, using a hand-held GPS device (Garmin Montana 600), to support the classification process by underpinning the selection of training areas.
We present a detailed methodology for assessing the spectral response of A. nodosum in relation to biological and physiological parameters in its habitat and the challenges associated with the discrimination between species of the same genus. Small drones offer very high resolution colour imagery and will support the A. nodosum assessment by collecting ground-truthing data far more efficiently than on-foot methods.
GEOSCAN ID305920