The 2008-9 Future Coasts Multibeam bathymetric Survey Victorian Bathymetry Project consists of high accuracy multi-beam echo sounder (MBES) data in-filling gaps in the 2007-08 Future Coasts Bathymetric Survey. From the raw MBES data, a suite of bathymetry products was generated including 2.5m DEM and 1m Contours and classified LiDAR strikes. MBES (multibeam echo sounder) is a technique for collection of bathymetry data. The sensor used for this MBES project collected XYZ and Intensity data for first and last return by bouncing a pulse from the vessel to the sea floor that enables the bathymetry and intensity values to be calculated.

2009-10 Wimmera RapidEye

Captured as part of the 2011-12 CIP for the Department of Transport over proposed regional rail corridors. Continuation of the Regional Rail Link photography capture from April 2012

Projection data is described in the gridcode column of the attribute table. This number is 1000 times the actual value (retained in this form to capture significant figures through map processing). For example, "Gridcode -23599" equates to -24% (rainfall) and "Gridcode 1986" equates to 2.0 degrees Celsius (temperature). The results are from 23 climate models that were available for the IPCC Fourth Assessment Report (2007). It is assumed that that the model results give a representation of the real world response to a specific emissions scenario. The IPCC (2007) estimates of global warming are relative to the period 1980-1999. For convenience, the baseline is often called 1990. Projections are given for 2030 and 2070 but, of course, individual years can vary markedly within any climate period, so the values can be taken as representative of the decade around the single year stated, i.e. projections for 2030 are representative of 2026-2035. Natural variability (independent of greenhouse gas forcing) can cause decadal means to vary and estimates of this effect are included in the estimates of uncertainties. The projections comprise a central estimate and a range of uncertainty. The central estimate is the median – or 50th percentile - of the model results, while the uncertainty range is based on two extreme values – the 10th and 90th percentiles. 10% of values fall below the 10th percentile and 10% of values lie above the 90th percentile. Greater emphasis is given to projections from models that best simulate the present climate. The weightings are based on statistical measures of how well each model can simulate the 1975-2004 average patterns of rainfall, temperature, and sea level pressure over Australia. Subregions of Victoria are indicated. Victoria has an integrated catchment management system established under the Catchment and Land Protection Act 1994 (the CaLP Act). Under the CaLP Act, Victoria is divided into ten catchment regions, with a Catchment Management Authority (CMA) established for each region. (See: http://www.water.vic.gov.au/governance/catchment_management_authorities)

Photography for flooded areas June 2012

2003-04 Imagery - SPOT

A dataset describing the disturbance history and biophysical characteristics of Victoria's publicly managed land estate in preparation for accountable carbon modelling. It was developed using a series of available corporate and other datasets on information such as wildfire and planned burn history, fire severity, harvesting history, vegetation type, soil type, IBRA region and forest extent. In essence it is a disturbance history layer from 1930 to 2009, containing approximately 750,000 unique features.

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

2005-10 Mallee Multi-epoch NDVI generation - Landsat

Photography and elevation products over Gherang Gravel Pits - Surf Coast Shire.