Captured as part of the 2018-19 CIP, this project covers Macedon Ranges LGA with 10cm high accuracy photography and is useful for a wide range of council purposes.

This dataset is the primary data output from the Corangamite land resource assessment project undertaken in 2002-2003. It contains soil and land information at a scale of 1:100 000 for all land in the region. The study also includes land degradation assessments for each unit. At the map scale of this dataset soil-landform units are not homogeneous. For each defined soil-landform unit, the number and proportion of landforms and soil types will vary. A group or groups of soils have been associated with each unit. representative sites and their associated profile properties are recorded in the study report. Importantly it should be noted that soil attributes (for example texture, sodicity, pH) are expected to vary between acquired soil sites. As the variability of soil attributes within a map unit is difficult to predict, it is important to note that representative soils should be used as a guide only. The study report describing the project methodology and dataset attributes, including representative soil profile data, is available from the Victorian Resources Online website (http://vro.depi.vic.gov.au/dpi/vro/coranregn.nsf/pages/soil_landform_map). DOI 10.4226/92/58e7149507e74

This is a derived dataset that delineates the Bioregional Conservation Status of EVCs. (NV2005_EVCBCS) . The dataset is derived from a combination of Victorian bioregions (VBIOREG100), Pre 1750 EVCs (NV1750_EVC) and the current version of Native Vegetation Extent (NV2005_EXTENT). Bioregional conservation status and geographic occurrence are applied to unique Bioregion-EVC units. The dataset underpins the implementation of Victoria's Native Vegetation Management Framework, and the preparation of Regional Vegetation Plans in addition to other biodiversity planning. The dataset requires upgrading when any of the three input datasets change. (Note that this dataset is stored in two Spatial Data Storage Environments within DSE - Arc/Info tiled libraries and Oracle/SDE single data layer. This metadata describes the Arc/Info dataset. The Oracle/SDE dataset is slightly different in that all non-vegetation classes are excluded from the data (ie. Bare rock, sand, non-native vegetation etc.) also the attributes include attributes expanded from Look Up Tables. These have an X_ prefix in the name.) Note erratum under Data Quality-Completeness-Classification

This dataset is the Victorian Aquifer Framework (VAF) Salinity Distribution. It refers to the salinity distribution for unconfined water table. Please refer to the master metadata record VAF 'Victorian Aquifer Framework (VAF) Salinity Distribution for detailed information.

Spatial dataset of Above Ground Biomass (AGB) in Victoria's public forest estate. In Victoria, forests are defined as land area greater than 0.5 ha, dominated by trees usually having a single stem and a mature or potentially mature stand height exceeding two metres and with existing or potential crown cover of overstory strata equal to or greater than 20 percent. This definition includes native forests, plantations and areas of trees sometimes described as woodlands.

This data is now obsolete, current UDP data is available. This information maps the six industrial nodes identified in metropolitan Melbourne. These are areas where there is significant existing industrial activity, market interest and future industrial land identified. These are: West Industrial Node Airport Industrial Node North Industrial Node South Industrial Node Melton Industrial Node Pakenham Industrial Node

Captured as part of the 2018-19 CIP, this project covers the City of Kingston with 6cm resolution high accuracy 4 band (RGBi) photography, making it useful for a wide range of GIS applications.

The 2017-19 River condition audit project has been undertaken to supplement and compare mapping undertaken in DELWPs 2009-10 Index of Stream Condition (ISC) assessment. The Department of Environment, Land, Water, Planning (DELWP) has developed a methodology to assess aspects of river condition using remote sensing data, specifically LIDAR and aerial photography. This project collects LiDAR and imagery for a subset of rivers mapped in the original 2009-10 ISC survey. In addition to supporting the generation of physical form and ripartian vegetation metrics, the data has been used to identify change over time. LiDAR and imagery was captured for 70 rivers across nine CMAs over two seasons (2017-18 and 2018-19). Corangamite CMA rivers were captured in the second season, so the data is from 2018-19. Barwon River was added later using LiDAR data flown 5th January 2017 and aerial imagery flown 12th January 2017. Remote sensing data collected includes LiDAR data at four points per m² and 12.5cm aerial photography. 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.

This 10cm 3 band (RGB) photography was captured as a Northern extension to the Greater Melbourne summer photography project. Photography has been orthorectified to produce a higher accuracy (+/-2 pixels GSD) product.

The Bayside project area was captured by Photomapping Services using our Optech `ALTM Galaxy¿ system (Airborne Laser Scanning) on the 26th of February 2018. The data was captured for the purposes of flood modelling, urban planning, urban growth monitoring, asset management and building footprint and height metrics.