This polygon layer represents shallow marine habitats in the Corangamite catchment coastal region mapped from aerial photography and underwater video ground-truthing. This mapping was funded by the Natural Heritage Trust to increase the capacity of natural resource managers to make informed decisions regarding asset identification, risk assessment and establishment of management action targets for nearshore marine habitats in the region. This layer combines two datasets for east and west Corrangamite into a single layer.

This polygon layer represents seagrass habitat at nine regions in Port Phillip Bay in April 2009 mapped from aerial photography. The mapping was undertaken for the Baywide Seagrass Monitoring Program (CDP_ENV_MD_022 Rev5 - Port of Melbourne Corporation, 2010). The program is being undertaken for the Port of Melbourne Corporation as part of Baywide Monitoring to support the Channel Deepening Project.

This layer presents the spatial extent, species distribution and density of seagrass/submerged aquatic vegetation at Gippsland Lakes mapped from 1997 aerial photography and field observations.

This polygon layer represents seagrass habitat at nine regions in Port Phillip Bay in April 2011 mapped from aerial photography. The mapping was undertaken for the Baywide Seagrass Monitoring Program (CDP_ENV_MD_022 Rev5 - Port of Melbourne Corporation, 2010). The program is being undertaken for the Port of Melbourne Corporation as part of Baywide Monitoring to support the Channel Deepening Project.

This polygon layer represents seagrass habitat at the Swan Bay region in April 2010 mapped from aerial photography. The mapping was undertaken for the Baywide Seagrass Monitoring Program (CDP_ENV_MD_022 Rev5 - Port of Melbourne Corporation, 2010). The program is being undertaken for the Port of Melbourne Corporation as part of Baywide Monitoring to support the Channel Deepening Project.

This polygon layer represents seagrass habitat at nine regions in Port Phillip Bay in April 2008 mapped from aerial photography. The mapping was undertaken for the Baywide Seagrass Monitoring Program (CDP_ENV_MD_022 Rev5 - Port of Melbourne Corporation, 2010). The program is being undertaken for the Port of Melbourne Corporation as part of Baywide Monitoring to support the Channel Deepening Project.

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.

This layer contains polygons defining the spatial extent, species distribution and density of seagrass meadows within Anderson Inlet mapped from 1999 aerial photography and ground-truthing.

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.