THIS METADATA IS IN DRAFT FORM AND CURRENTLY UNDER DEVELOPMENT. This layer contains forest type and relative age information derived from SFRI25BM, SFRI25VE, RAINFOR100, OG100, PLMMT100PLY, FMZ100, SVEG100 and GSTAGE100 layers.

THIS METADATA IS IN DRAFT FORM AND CURRENTLY UNDER DEVELOPMENT. This layer contains forest type and relative age information derived from SFRI25BM, SFRI25VE, SVEG100 and GSTAGE100 layers.

Landsat 2006-07

Landsat 2008-09

The DOT Multi-Temporal Asset Monitoring project was commissioned to supply imagery over approximately a 3800 square kilometre project area to assist the Department of Transport with its rail asset monitoring program. There will be four seasonal captures (summer, autumn, winter, spring) over the rail asset monitoring project area. The capture area has been divided into 11 delivery areas and mosaics for ease of supply. The 11 delivery areas are: 01-sunbury, 02-cragieburn, 03-melton, 04-essendon, 05-heidelberg, 06-lilydale, 07-werribee, 08-oakleigh, 09-belgrave, 10-cranbourne, 11-pakenham and the mosaics for each of these will be date stamped with the earliest date of photography which makes up that seasonal capture.

10cm Orthorectified photography captured as part of the 2010-11 CIP for Frankston City Council

River condition in Victoria is assessed every 5 years using the Index of Stream Condition (ISC). The Department of Environment and Primary Industries (DEPI) has developed a methodology to assess components of the ISC using remote sensing techniques, specifically LIDAR and aerial photography. As such, a State Wide mapping project was undertaken in 2009-12 to accurately map the riparian vegetation and physical form components (metrics) of the ISC using LiDAR and imagery data. Remote sensing data collected includes 15cm true colour infra-red aerial photography and four return multi-pulse LiDAR data. These were used to derive a range of standard and non-standard physical form and riparian vegetation raster datasets. The project was managed on a CMA by CMA basis with all source and derived datasets being organised this way. In addition to the remote sensing and derived raster products, a set of vector products and tabular data has also been generated. These further represent and define the physical form and riparian characteristics of the ISC rivers and contain the ISC scoring data. Keywords: River, ISC, Victoria, LiDAR, Riparian, Physical Form, Vegetation, Elevation

Single Pulse four return LiDAR was captured over selected floodplains in the Glenelg Hopkins CMA between September 2011 and January 2012 to achieve a vertical accuracy of +/-10cm RMSE at 2 sigma. The LiDAR was classified to ICSM Level 2 and the ground and mass points were used to interpolate a 1m gridded DEM. It is anticipated the data will be used for flood and riverine systems modelling and land use planning. Keywords: DEM, LiDAR, Elevation, Glenelg Hopkins CMA, +/- 10cm.

Landsat 2007-08

Southern Murray Darling Basin LiDAR Project