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Gold Coast Broadwater Seagrass mapping 2005/08

Seagrass meadows within the Broadwater were mapped using high-resolution 2005 orthorectified color aerial photography obtained from the Gold Coast City Council at a scale of 1:10,000 and pixel size 0.15 m. Using desktop GIS mapping (MapInfo Professional 8.0), polygons were drawn over all potential seagrass meadows at a scale of 1:5000. Spatial accuracy was estimated to be approximately ± 1 m on well-defined boundaries (e.g. dense seagrass meadows) and ± 2 m along poorly defined boundaries (e.g. sparse seagrass meadows).

Simple

Identification info

Date (Publication)
2017-04-27
Date (Creation)
2013-10-29

Author

Environmental Futures Research Institute (EFRI), Griffith University (GU) - Castley, Guy, Dr (Senior Research Fellow)
Griffith School of Environment, Griffith University
Gold Coast campus
Gold Coast
Queensland
4222
Australia
Status
Completed

Point of contact

Global Change Institute (GCI), The University of Queensland (UQ) - Robert Franklin C. Canto (Coastal Carbon WP4 Research Officer)
Global Change Institute Building
Top of Staff House Road
St Lucia
Queensland
4072
Australia
+61 7 3443 3100
Spatial representation type
Vector

Spatial resolution

Equivalent scale

Denominator
5000
Topic category
  • Biota
  • Environment

Extent

N
S
E
W


Temporal extent

Time position
2005-01-01T00:00:00
Time position
2008-12-31T00:00:00
Maintenance and update frequency
Not planned

Resource format

Title
ESRI Shapefile
Date
Edition
-
Global Change Master Directory (GCMD) Earth Science Keywords Version 8.0
  • EARTH SCIENCE | BIOSPHERE | AQUATIC ECOSYSTEMS | MARINE HABITAT
  • EARTH SCIENCE | BIOLOGICAL CLASSIFICATION | PLANTS | ANGIOSPERMS (FLOWERING PLANTS) | MONOCOTS | SEAGRASS
Keywords (Place)
  • QUEENSLAND
Australian and New Zealand Standard Research Classification (ANZSRC): Fields of Research
  • Environmental Management
  • Environmental Sciences not elsewhere classified
  • Marine and Estuarine Ecology (incl. Marine Ichthyology)
AODN Platform Vocabulary
  • research aeroplane
AODN Discovery Parameter Vocabulary
  • Biotic taxonomic identification
Keywords (Theme)
  • Benthic habitat

Resource specific usage

Specific usage
Data supplied for use by the Seamap Australia Project.

- ()

Resource constraints

Classification
Unclassified

Resource constraints

Linkage
http://i.creativecommons.org/l/by-sa/4.0/88x31.png

License Graphic

Title
Creative Commons Attribution-ShareAlike 4.0 International License


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Website
http://creativecommons.org/licenses/by-sa/4.0/

License Text

Other constraints
Cite data as: Cuttriss, A.K., Prince, J.B., Castley. (2013): Gold Coast Broadwater Seagrass mapping 2005/08. Griffith University-Gold Coast Campus Qld 4222 Australia, Gold Coast City Council PO Box 5042 Gold Coast Mail Centre Qld 9729 Australia.
Other constraints
This dataset is hosted by the Institute for Marine and Antarctic Studies (IMAS), University of Tasmania, on behalf of Griffith University for the purposes of the Seamap Australia collaborative project (testing a national marine benthic habitat classification scheme).
Language
English
Character encoding
UTF8
Supplemental Information
Roelfsema, Christiaan M; Lyons, Mitchell B; Kovacs, Eva M; Maxwell, Paul; Saunders, Megan I; Samper-Villarreal, Jimena; Phinn, Stuart 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 Roelfsema, Christiaan M; Phinn, Stuart R; Udy, Nicola; Maxwell, Paul (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

Content Information

Content type
Physical measurement
Description
Taxonomic identification seagrass and algal species

Identifier

Code
Biotic taxonomic identification
Description
Appended to original data for styling purposes for the Seamap Australia Project.
Name
Benthic habitat

Name
SM_HAB_CLS

Distribution Information

Distribution format
  • ESRI Shapefile

OnLine resource
SHAPE-ZIP

DATA ACCESS - This OGC WFS service returns the data (Gold Coast seagrass) in Shapefile format.

OnLine resource
seamap:SeamapAus_QLD_GoldCoast_Broadwater_seagrass_2009

MAP - Gold Coast seagrass

OnLine resource
Original metadata record [TERN catalogue]

Resource lineage

Statement
Mapping description: Seagrass meadows within the Broadwater were mapped using high resolution 2005 orthorectified color aerial photography obtained from the Gold Coast City Council at a scale of 1:10,000 and pixel size 0.15 m. Using desktop GIS mapping (MapInfo Professional 8.0), polygons were drawn over all potential seagrass meadows at a scale of 1:5000. Spatial accuracy was estimated to be approximately ± 1 m on well-defined boundaries (e.g. dense seagrass meadows) and ± 2 m along poorly defined boundaries (e.g. sparse seagrass meadows). Seagrass coverage estimation: Each of the areas of seagrass mapped in the Broadwater during this study was sampled in 2008/09 to verify the presence of seagrass communities. A total of 359 sampling points within seagrass polygons were randomly chosen from the digitised maps. At each sampling point a variety of categorical parameters were recorded to quantify seagrass communities present within a 1 m² quadrat. Seagrass cover was categorised as follows; 0% none, 1–25% sparse, 26–50% medium, 51–75% medium-dense, 76–100% dense. Individual species were classified as either being dominant, secondary or minor-based on seagrass coverage. Presence/absence of macroalgae / Lyngbya was also recorded at each plot. Data fields: Below is a brief description of each data field in the Gold Coast seagrass shapefile. Area Extent of each seagrass patch calculated in hectares (ha). Density Categorical classification of seagrass cover in each patch – captured as either dense (D), medium-dense (MD), medium (M), or sparse (S). Count The number of survey plots within any one mapped seagrass polygon. Patch_ID Unique number for each seagrass patch mapped (n=166). Perimeter Calculated perimeter of each mapped seagrass patch. SG_Cover_ Average total seagrass cover estimate for each mapped seagrass patch expressed as a percentage value. Zost_muel Cover of Zostera muelleri in the mapped seagrass patch survey plots, expressed as a percentage (see above). Halo_oval Cover of Halophila ovalis in the mapped seagrass patch survey plots, expressed as a percentage (see above). Halo_spin Cover of Halophila spinulosa in the mapped seagrass patch survey plots, expressed as a percentage (see above). Halo_unin Cover of Halodule uninervis in the mapped seagrass patch survey plots, expressed as a percentage (see above). Cymo_serr Cover of Cymodocea serrulata in the mapped seagrass patch survey plots, expressed as a percentage (see above). Syri_isoe Cover of Syringodium isoetifolium in the mapped seagrass patch survey plots, expressed as a percentage (see above). Macroalgae Binary presence / absence of any macroalgal species from within the survey plots of any mapped seagrass patch. Lyngbya Binary presence / absence of the blue-green algae Lyngbya majuscule from within the survey plots of any mapped seagrass patch. Depth Water depth (m) averaged across all plots surveyed within any mapped seagrass patch. Spp_Rich Species richness of seagrass communities recorded during surveys of plots within any mapped seagrass patch.
Hierarchy level
Dataset

Process step

Description
Data analysis and summary information: For each seagrass patch mapped the seagrass information was summarised by averaging information from all plots surveyed in each patch. To provide a quantitative measure of overall patch cover categorical measures (see above) were converted into numerical values by taking the mean of the range specified, i.e. Dense = 88%, Medium-Dense = 63%, Medium = 38%, Sparse = 12.5%. For individual species categorical measures of cover in a plot were also converted to numerical values (dominant = 60%, secondary = 30%, minor = 10%) before being averaged for each patch. These summary values are captured in the data fields in the final seagrass shapefile.
Hierarchy level
Dataset

Platform

Identifier

Code
research aeroplane

Metadata

Metadata identifier
3B4BAEF1-5B54-41B7-A2BA-DC59B16DB059

Language
English
Character encoding
UTF8

Point of contact

Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS) - IMAS Data Manager
Parent metadata
  • Seamap Australia National Benthic Habitat Layer (NBHL)

Type of resource

Resource scope
Dataset
Metadata linkage
https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/3B4BAEF1-5B54-41B7-A2BA-DC59B16DB059

Point of truth URL of this metadata record

Date info (Creation)
2020-09-23T12:26:34
Date info (Revision)
2020-09-23T12:26:34

Metadata standard

Title
ISO 19115-3:2018
 
 

Overviews

Spatial extent

N
S
E
W


Keywords

Benthic habitat
AODN Discovery Parameter Vocabulary
Biotic taxonomic identification
AODN Platform Vocabulary
research aeroplane
Australian and New Zealand Standard Research Classification (ANZSRC): Fields of Research
Environmental Management Environmental Sciences not elsewhere classified Marine and Estuarine Ecology (incl. Marine Ichthyology)
Global Change Master Directory (GCMD) Earth Science Keywords Version 8.0
EARTH SCIENCE | BIOLOGICAL CLASSIFICATION | PLANTS | ANGIOSPERMS (FLOWERING PLANTS) | MONOCOTS | SEAGRASS EARTH SCIENCE | BIOSPHERE | AQUATIC ECOSYSTEMS | MARINE HABITAT

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