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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Integrating Quickbird multi-spectral satellite and field data: Mapping bathymetry, seagrass cover, seagrass species and change in Moreton Bay, Australia in 2004 and 2007
local : UQ:243593
Lyons, Mitchell, Phinn, Stuart and Roelfsema, Chris (2011). Integrating Quickbird multi-spectral satellite and field data: Mapping bathymetry, seagrass cover, seagrass species and change in Moreton Bay, Australia in 2004 and 2007. Remote Sensing, 3 (1), 42-64. doi: 10.3390/rs3010042
Challenges of remote sensing for quantifying changes in large complex seagrass environments
local : UQ:318117
Roelfsema, Chris, Kovacs, Eva M., Saunders, Megan I., Phinn, Stuart, Lyons, Mitchell and Maxwell, Paul (2013). Challenges of remote sensing for quantifying changes in large complex seagrass environments. Estuarine, Coastal and Shelf Science, 133, 161-171. doi: 10.1016/j.ecss.2013.08.026
Multi-temporal mapping of seagrass cover, species and biomass: A semi-automated object based image analysis approach
local : UQ:332752
Roelfsema, Chris M., Lyons, Mitchell, Kovacs, Eva M., Maxwell, Paul, Saunders, Megan I., Samper-Villarreal, Jimena and Phinn, S.R. (2014). Multi-temporal mapping of seagrass cover, species and biomass: A semi-automated object based image analysis approach. Remote Sensing of Environment, 150, 172-187. doi: 10.1016/j.rse.2014.05.001
Integrating field survey data with satellite image data to improve shallow water seagrass maps: the role of AUV and snorkeller surveys?
local : UQ:353940
Roelfsema, Christiaan M., Lyons, Mitchell, Dunbabin, Matthew, Kovacs, Eva and Phinn, Stuart R. (2015). Integrating field survey data with satellite image data to improve shallow water seagrass maps: the role of AUV and snorkeller surveys?. Remote Sensing Letters, 6 (2), 135-144. doi: 10.1080/2150704X.2015.1013643
An integrated field and remote sensing approach for mapping seagrass cover, Moreton Bay, Australia
local : UQ:180292
Roelfsema, C. M., Phinn, S. R., Udy, N. and Maxwell, P. (2009). An integrated field and remote sensing approach for mapping seagrass cover, Moreton Bay, Australia. Journal of Spatial Science, 54 (1), 45-62. doi: 10.1080/14498596.2009.9635166
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School of Geography, Planning and Environmental Management Publications
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