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.

The imagery contains two products. The fully orthorectified 35cm true colour visible (RGB) imagery was captured over the Surf Coast Shire. The Georeferenced (reduced accuracy) image includes 3 visible bands (RGB) and one separate IR band and covers the Surf Coast Shire/ Otways area. Both products are tiled into 5 km tiles and available in both TIFF and ECW compress format.

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)

38-2011 Floods-Rochester,Serpentine,Charlton,Casterton

Four return, multi-pulse LiDAR was aquired over the Corrop Lakes Floodplain on the 14th and 15th June 2011 to achieve a vertical accuracy of +/- 10 cm. The LiDAR was used to create a 1m gridded DEM. The intended purpose of the data is to assist with flood modelling and land use planning. Keywords: DEM, LiDAR, +/- 10cm vertical, elevation, floodplains, Goulburn Broken CMA, Corrop Lakes

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)

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

This photography was captured to assess the flood extent at peak flood level along mid and upper Wimmera River. The Georeferenced (reduced accuracy) image includes 3 bands and tiled into 5km tiles. It is available in both TIFF and ECW compress format.

The purpose for the aerial photography in SECTION 1 (Bunyip River to Traralgon) is :- installation of wire rope safety barriers and other road safety initiatives on various targeted locations of freeway. Kilometre values will be line marked on the ground of sufficient size to identify on aerial photography and provided to contractors installing the works. Locations for sound barriers and other uses not yet identified. The purpose for aerial photography and elevation in SECTION 2 (Lakes Entrance to NSW Border) is :- 1) interrogation of both horizontal and vertical geometry along the highway to identify; 1) suitable locations for road safety treatments such as installation of wire rope safety barriers and other types of barrier; 2) identify various sight distances along and over crest vertical curves to show where deficiencies are; 3) identify where curve or batter improvements are viable and have the ability to determine earthworks involved by extracting longitudinals and cross sections (terrain intelligence adjacent to highway will enable us to do this).

Estimated long-term mean annual temperature interpolated to a 500m grid cell using the DEM250 layer and the ESOCLIM software.