Data

Benthic and substrate cover data derived from a time series of photo-transect surveys for the Eastern Banks, Moreton Bay Australia, 2004-2014. Dataset #846147

The University of Queensland
Associate Professor Chris Roelfsema (Aggregated by) Associate Professor Chris Roelfsema (Aggregated by) Dr Eva Kovacs (Aggregated by) Dr Eva Kovacs (Aggregated by) Professor Stuart Phinn (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://espace.library.uq.edu.au/view/UQ:360325&rft.title=Benthic and substrate cover data derived from a time series of photo-transect surveys for the Eastern Banks, Moreton Bay Australia, 2004-2014. Dataset #846147&rft.publisher=The University of Queensland&rft.description=For these surveys, a snorkeler(s) swam over the bottom while taking photos of the benthos at a set height using a standard digital camera and towing a surface float GPS which was logging its track every five seconds. The camera lens provided a 1.0 m x 1.0 m footprint, at 0.5 m height above the benthos. Horizontal distance between photos was estimated by fin kicks of the survey snorkeler, and corresponded to a surface distance of approximately 2.0 - 4.0 m. Approximation of coordinates of each benthic photo was done based on the photo timestamp and GPS coordinate time stamp, using GPS Photo Link Software (www.geospatialexperts.com). Coordinates of each photo were interpolated by finding the gps coordinates that were logged at a set time before and after the photo was captured. Dominant benthic or substrate cover type was assigned to each photo by placing 24 points random over each image using the Coral Point Count excel program (Kohler and Gill, 2006). Each point was then assigned a dominant cover type. Using a benthic cover type classification scheme containing seven first-level categories (seagrass, seagrass plus, macro algae calcareous, macro algae non calcareous, cyanobacteria and other algae, substratum, and, other) and 41 subcategories. Benthic cover composition summaries of each photo were generated automatically in CPCe. The resulting benthic cover data for each photo was linked to gps coordinates, saved as an ArcMap point shapefile, and projected to Universal Transverse Mercator WGS84 Zone 56 South.&rft.creator=Associate Professor Chris Roelfsema&rft.creator=Associate Professor Chris Roelfsema&rft.creator=Dr Eva Kovacs&rft.creator=Dr Eva Kovacs&rft.creator=Professor Stuart Phinn&rft.creator=Professor Stuart Phinn&rft.date=2015&rft.coverage=153.385362,-27.066084 153.295383,-27.075866 153.302250,-27.175821 153.375749,-27.200252 153.381243,-27.059969 153.385362,-27.066084&rft_rights=2015, The University of Queensland&rft_rights= https://creativecommons.org/licenses/by_nc/3.0/deed.en&rft_subject=eng&rft_subject=Habitat Mapping&rft_subject=Field data&rft_subject=Moreton Bay (Qld)&rft_subject=Physical Geography and Environmental Geoscience not elsewhere classified&rft_subject=EARTH SCIENCES&rft_subject=PHYSICAL GEOGRAPHY AND ENVIRONMENTAL GEOSCIENCE&rft_subject=Environmental Science and Management not elsewhere classified&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=ENVIRONMENTAL SCIENCE AND MANAGEMENT&rft_subject=Environmental Management&rft_subject=Environmental Monitoring&rft_subject=Marine and Estuarine Ecology (incl. Marine Ichthyology)&rft_subject=BIOLOGICAL SCIENCES&rft_subject=ECOLOGY&rft.type=dataset&rft.language=English Access the data
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https://creativecommons.org/licenses/by_nc/3.0/deed.en

2015, The University of Queensland

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[email protected]

Full description

For these surveys, a snorkeler(s) swam over the bottom while taking photos of the benthos at a set height using a standard digital camera and towing a surface float GPS which was logging its track every five seconds. The camera lens provided a 1.0 m x 1.0 m footprint, at 0.5 m height above the benthos. Horizontal distance between photos was estimated by fin kicks of the survey snorkeler, and corresponded to a surface distance of approximately 2.0 - 4.0 m. Approximation of coordinates of each benthic photo was done based on the photo timestamp and GPS coordinate time stamp, using GPS Photo Link Software (www.geospatialexperts.com). Coordinates of each photo were interpolated by finding the gps coordinates that were logged at a set time before and after the photo was captured. Dominant benthic or substrate cover type was assigned to each photo by placing 24 points random over each image using the Coral Point Count excel program (Kohler and Gill, 2006). Each point was then assigned a dominant cover type. Using a benthic cover type classification scheme containing seven first-level categories (seagrass, seagrass plus, macro algae calcareous, macro algae non calcareous, cyanobacteria and other algae, substratum, and, other) and 41 subcategories. Benthic cover composition summaries of each photo were generated automatically in CPCe. The resulting benthic cover data for each photo was linked to gps coordinates, saved as an ArcMap point shapefile, and projected to Universal Transverse Mercator WGS84 Zone 56 South.

Issued: 2015

Data time period: 2000 to 2014

Data time period: Data collected from: 2004-01-01T00:00:00Z
Data collected to: 2014-01-01T00:00:00Z

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153.385362,-27.066084 153.295383,-27.075866 153.302250,-27.175821 153.375749,-27.200252 153.381243,-27.059969 153.385362,-27.066084

153.3403725,-27.1301105

Subjects
Biological Sciences | Earth Sciences | Ecology | Environmental Science and Management | Environmental Sciences | Environmental Management | Environmental Monitoring | Environmental Science and Management Not Elsewhere Classified | Field data | Habitat Mapping | Marine and Estuarine Ecology (Incl. Marine Ichthyology) | Moreton Bay (Qld) | Physical Geography and Environmental Geoscience | Physical Geography and Environmental Geoscience Not Elsewhere Classified | eng |

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ACN 633 798 857