A supervised classification was applied to a Landsat TM5 image. This image was acquired on the 8th August 2004, 15 minutes after low tide. The image classification was applied on areas of clear waters up to three metres depth and for exposed regions of Moreton Bay. Field validation data was collected at 2800 survey sites by UQ, 18 Seagrass-Watch sites and 60 Port of Brisbane Corporation survey sites. GPS referenced field data were used as training areas for the image classification process. For this training the substrate DN signatures were extracted from the Landsat 5 TM image for field survey locations of known substrate cover, enabling a characteristic "spectral reflectance signature" to be defined for each target. The Landsat TM image, containing only those pixels in water < 3.0m deep, was then subject to minimum distance to means algorithm to group pixels with similar DN signatures (assumed to correspond to the different substrata). This process enabled each pixel to be assigned a label of either seagrass cover (0, 1-25 %, 25-50 %, 50-75 % and 75-100 %). The resulting raster data was then converted into a vector polygon file. Species information was added based on the field data and expert knowledge. Both polygon files were joined by overlaying features of remote sensing files with the EHMP field data to produce an output theme that contains the attributes and full extent of both themes. If polygons of remote sensing were within polygons of field data the assumption was made that the remote sensing polygon was showing more detail and the underlying field polygon was deleted.

Seascapes describing a layer of ecologically meaningful biophysical variable that spatially represent potential seabed habitats have been derived for the Australian margin and adjacent seabed in a new analysis of existing biophysical data. A total of 13 seascapes were derived for the continental shelf and nine seascapes for regions beyond the continental shelf using the unsupervised ISOCLASS classification in the software package ERMapper. The ecological significance of the seascapes is assessed at the national, regional and local scale using existing biological data. Options and avenues for future development are also described.

A supervised classification was applied to a Landsat TM5 image. This image was acquired 9:40 am, on the 27th July 2011 (5.14 am low tide at Brisbane Bar). The image classification was applied on areas of clear waters up to three metres depth and for exposed regions of Moreton Bay. Field validation data was collected at 4797 survey sites by UQ. GPS referenced field data were used as training areas for the image classification process. For this training the substrate DN signatures were extracted from the Landsat 5 TM image for field survey locations of known substrate cover, enabling a characteristic "spectral reflectance signature" to be defined for each target. The Landsat TM image, containing only those pixels in water < 3.0m deep, was then subject to minimum distance to means algorithm to group pixels with similar DN signatures (assumed to correspond to the different substrata). This process enabled each pixel to be assigned a label of either seagrass cover (0, 1-25 %, 25-50 %, 50-75 % and 75-100 %). The resulting raster data was then converted into a vector polygon file. Species information was added based on the field data and expert knowledge. Both polygon files were joined by overlaying features of remote sensing files with the EHMP field data to produce an output theme that contains the attributes and full extent of both themes. If polygons of remote sensing were within polygons of field data the assumption was made that the remote sensing polygon was showing more detail and the underlying field polygon was deleted.

A Regionalisation of the Australian coastal waters to the Australian 200 meter isobath derived from biological and physical data, (eg. coastal geomorphology, tidal attributes, oceanography, bathymetry, intertidal invertebrates). Attributes include: named regions and their location(s) within provinces. Data were compiled for Version 3.1 from the most up-to-date data available as of 7 March 1997. The meso-scale regionalisation was compiled from information supplied to Environment Australia by the relevant State, Northen Territory and Commonwealth marine research and management agencies. The outer seaward extent for the meso-scale IMCRA coverage is defined by the 200m isobath except where this boundary extends beyond the Australian Exclusive Economic Zone (AEEZ). Please note this dataset as well as the current preferred dataset of Victorian Biounits are available under ‘Marine Biogeographical Regions’ on CoastKit, Victoria’s online data repository of marine and coastal information: https://mapshare.vic.gov.au/coastkit/