This layer represents the modelled extent of Ecological Vegetation Classes in 1750 (EVC's as described by Biodiversity and Ecosystem Services Division) at scales ranging from 1:25,000 to 1:100,000 It is the master EVC dataset from which NV1750_EVCBCS and NV2005_EVCBCS are derived.

This is a map of all existing EV chargers funded by DEECA.

This data set contains polygon boundaries for Registered Aboriginal Parties (RAPs) that have been recognised under the Victorian Aboriginal Heritage Act 2006 (the Act) "as the primary guardians, keepers and knowledge holders of Aboriginal cultural heritage". These boundaries have been determined by Aboriginal communities and registered by the Victorian Aboriginal Heritage Council (VAHC). Initial verbal descriptions and/or hand drawn maps were provided by Aboriginal communities of their RAP boundaries and then digitised by OAAV GIS staff using ArcGIS Desktop. The digitised boundaries were approved by the RAP applicant and the VAHC prior to the RAP applicant being appointed. The descriptions and/or maps provided by the Aboriginal communities were also transcribed by OAAV GIS staff and a written boundary description produced.

Contains polygon features delineating boundaries and describing forest management areas. All arc features are identified and coded according to the AS2482 standard.

Estimated long-term mean annual evaporation interpolated to a 20m grid cell using the DEM20 layer and the ANUCLIM software.

Estimated long-term mean annual radiation interpolated to a 20m grid cell using the DEM20 layer and the ANUCLIM software.

Estimated long-term mean annual rainfall interpolated to a 100m grid cell using data resampled from VICMAP_ELEVATION_DTM_20M and the ANUCLIM software.

100m slope grid derived from elevation data created by resampling VICMAP_ELEVATION_DTM_20M to 100m.

Fire severity classification of bushfires (wildfires) impacting ~1.5 million hectares of predominantly forested public land in eastern and north-eastern Victoria (and ~300,000 ha of southern NSW), between November 2019 and March 2020. Fire severity mapping was derived using machine learning classification (Random forests) of eight Spectral Indices (SI) from pre and post fire Sentinel 2 satellite imagery. The fire severity classification model was trained using high resolution (<35 cm) post-fire near-infrared aerial imagery from 12 bushfires which occurred during the 2018/2019 fire season across areas of Central and Eastern Victoria. A detailed description of the classification methodology can be found in Collins et al. (2018). The classification covers woody vegetation landcover types (including native and non-native forest, woodland and shrubland). The primary purpose of this data to provide rapid and comprehensive landscape-scale spatial information about bushfire severity to inform initial risk assessments on the public land in the actual and potential impact zone. This assists with the transition from response to emergency stabilisation and initial recovery in accordance with the Code of Practice for Bushfire Management on Public Land (2012). Fire severity classes are i) Canopy burnt (Class 6)- CB (> 20% canopy foliage consumed); ii) High canopy scorch (5) - HCS (>80% of canopy foliage is scorched); Medium canopy scorch (4) - MCS (Canopy is a mosaic of both unburnt and scorched foliage, 20 - 80%); iii) Low canopy scorch (3) - LCS (Canopy foliage is largely unaffected (<20% scorched), but the understorey has been burnt); iv) Unburnt (2) - UB (Canopy and understorey foliage are largely (>90%) unburnt). Additional classes: v) No Data (0) (e.g. due to obscuration by cloud, cloud-shadow and/or smoke and haze) and vi) Non-woody vegetation (unclassified) (1). An independent cross-validation of the classification model was used to estimate global and per-class model accuracy. Overall accuracy is estimated to be 85% (0.81 Kappa), with producer per-class accuracy ranging from 97% (CB), 91% (HCS), 88% (UB), 75% (LCS) and 61% (MCS). A ground-based validation of the classification has not been undertaken. Data is provided on the basis that users undertake responsibility for assessing the relevance and accuracy of its content. The Department of Environment, Land, Water and Planning, on behalf of the Victorian Government, makes no representations, either expressed or implied, as to the suitability of this data for any particular purpose. We do not accept any liability to any person: - for the information, data or advice (or the use of such information, data or advice) which is provided or incorporated into it by reference - for any interference with or damage to a user's computer, software or data occurring in connection with or relating to this data or its use Related research can be found in L. Collins, P. Griffioen, G. Newell, A. Mellor (2018), The utility of Random Forests for wildfire severity mapping, Remote Sensing of Environment, 216, 374-384

20m aspect grid derived from VICMAP_ELEVATION_DTM_20M. ArcInfo Workstation used to generate aspect from DEM via GRID ASPECT(grid) command.