Last updated: November 2019 This dataset represents the spatial extent of prescribed burns planned for ignition and associated mechanical and vegetation works on Public Land in Victoria and some CFA burns. This data is prepared annually for prescribed burns planned for the immediate three-year period. This dataset is now the joint fuel management plan and now includes the CFA burns as well as VicForest coupe burns.

The Inverloch Region Coastal Hazard Assessment is a modelled dataset assessing sea level rises, planning horizons and storm events to determine erosion hazard zones in the study area. The sea level rise components and subsequent planning horizons consisted of 0m (2020), 0.2m (2040), 0.5m (2070) and 0.8m (2100). The design storm events modelled were 1%,5% and 10% AEP (annual exceedance probability). The study reports can be obtained by contacting vcmp@delwp.vic.gov.au. - some generalisation for publishing in CoastKit.

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

The Inverloch Region Coastal Hazard Assessment is a modelled dataset assessing sea level rises, planning horizons and storm events to determine erosion hazard zones in the study area. The sea level rise components and subsequent planning horizons consisted of 0m (2020), 0.2m (2040), 0.5m (2070), 0.8m (2100). The design storm events modelled were 1%,5% and 10% AEP (annual exceedance probability). The study reports can be obtained by contacting vcmp@delwp.vic.gov.au. - some generalisation for publishing in CoastKit.

This dataset contains information on flying-fox camps across Victoria, including locations of camps and latest monitoring estimates. This dataset is populated by DEECA to update monitoring estimates, information on camp permanence and status, and data on new camps. Camp monitoring data will be uploaded to the Victorian Biodiversity Atlas periodically for public access.

The Port Phillip Bay Coastal Hazard Assessment (the product) is a digital dataset consisting of multiple spatial layer outputs from modelled erosion, inundation and groundwater hazard scenarios. The product is recommended for use at the regional scale around Port Phillip Bay. Application of the data should be guided by the accompanying Port Phillip Bay hazard assessment technical reports (CSIRO 2022, Water Technology 2023, Kennedy 2022) and expert advice. The product is not suitable for individual property scale assessments. The datasets available are as follows. Further detail on technical assumptions for these scenarios are provided in the accompanying technical reports. Additional data sets referenced in the reports are also available on request. Storm tide inundation Storm tide inundation extents for the 1% Annual Exceedance Probability (AEP) for a range of Sea Level Rise (SLR) scenarios (0m, 0.5m, 0.8m, 1.1m): - PPBCHA_INUNDATION_EXTENT_1AEP_00SLR - PPBCHA_INUNDATION_EXTENT_1AEP_05SLR - PPBCHA_INUNDATION_EXTENT_1AEP_08SLR - PPBCHA_INUNDATION_EXTENT_1AEP_11SLR - PPBCHA_INUNDATION_EXTENT_1AEP_14SLR - PPBCHA_INUNDATION_EXTENT_1AEP_00SLR_WITHRAINFALL - PPBCHA_INUNDATION_EXTENT_1AEP_05SLR_WITHRAINFALL - PPBCHA_INUNDATION_EXTENT_1AEP_08SLR_WITHRAINFALL - PPBCHA_INUNDATION_EXTENT_1AEP_11SLR_WITHRAINFALL - PPBCHA_INUNDATION_EXTENT_1AEP_14SLR_WITHRAINFALL Storm tide inundation extents for each SLR scenario are presented as a combined vector layer that incorporates the modelled 95th, 50th, and 5th percentiles. Erosion Erosion extents for the 1%AEP for a range of Sea Level Rise (SLR) scenarios (0m, 0.2m, 0.5m, 0.8m, 1.1m). - PPBCHA_EROSION_EXTENT_1AEP_2010_00SLR - PPBCHA_EROSION_EXTENT_1AEP_2040_02SLR - PPBCHA_EROSION_EXTENT_1AEP_2070_05SLR - PPBCHA_EROSION_EXTENT_1AEP_2100_08SLR - PPBCHA_EROSION_EXTENT_1AEP_2100_11SLR - PPBCHA_EROSION_EXTENT_1AEP_2100_14SLR Erosion hazard extents are the modelled 95th percentile. Sea level of 0m as of 2010. Groundwater Groundwater extents indicating where the hazard is shallow (within 0 to 2m below land surface) for a range of Sea Level Rise (SLR) scenarios (0m, 0.2m, 0.5m, 0.8m): - PPBCHA_GROUNDWATER_EXTENT_SHALLOW_00SLR - PPBCHA_GROUNDWATER_EXTENT_SHALLOW_02SLR - PPBCHA_GROUNDWATER_EXTENT_SHALLOW_05SLR - PPBCHA_GROUNDWATER_EXTENT_SHALLOW_08SLR - PPBCHA_GROUNDWATER_EXTENT_SHALLOW_11SLR - PPBCHA_GROUNDWATER_EXTENT_SHALLOW_14SLR Shallow groundwater extent layer is derived from the groundwater depth raster. Report Citations: CSIRO - McInnes, K.L., O’Grady, J.O., Prakash, M., Dahlhaus, P., Rosengren, N.J., Hoeke, R.K., Lauchlan Arrowsmith, C., Hernaman, V., Cohen, R., Seers, B., Chen, Y., Walters, D., Couto, P., Trenham, C., Forbes-Smith, N. Gregory, R., Hemer, M. and Power, R. (2022) Port Phillip Bay Coastal Hazard Assessment: Final Report. Report to Department of Environment, Land, Water and Planning. 236 pages + 11 Appendices. Water Technology (2023) Erosion Hazard Summary Report, Port Phillip Bay Coastal Erosion Hazards, Report to Department of Energy, Environment and Climate Action Kennedy, D. M. (2022), Tertiary Coastal Compartments in Port Phillip Bay: Review, Definition and Methodology, Report to Department of Energy, Environment and Climate Action. School of Geography, Earth and Atmospheric Sciences, The University of Melbourne.

Model-based predictions of average deer abundance on Victorian public land. Model predictions are based on camera-trap and deer sign surveys at 317 sites across Victoria conducted between 2021 and 2023. The raster data is divided into four layers/bands for the four species analysed in this study: Sambar deer (Cervus unicolor), Fallow deer (Dama dama), Red deer (Cervus elaphus) and Hog deer (Axis porcinus). Abundance estimates are provided as a numeric decimal of deer per square kilometre of public land within each grid cell. The technical report accompanying this data is available from the Arthur Rylah Institute (ARI) website: https://www.ari.vic.gov.au/__data/assets/pdf_file/0035/686591/ARI-Technical-Report-368-Deer-abundance-in-Victoria.pdf The raster data may be loaded into programs such as R or QGIS for analysis. When opening the data in QGIS, undertake the following steps: 1) Follow 'Layer > Add Later > Add Raster Layer' to select the tif file to be added 2) Right-click on the added layer in the 'Layers' panel and select 'Properties' 3) Visualise the abundance of one of the four species of deer by selecting 'Symbology > Band Rendering > Render Type = Singleband Pseudocolor' 4) Choose the band (species) you wish to display 5) Apply the changes

Last updated: September 2016 This dataset represents the spatial extent of prescribed burns planned for ignition and associated mechanical and vegetation works on Public Land in Victoria. This data is prepared annually for prescribed burns planned for the immediate three-year period.

This layer contains the yearly standard outputs reported to DELWP by CMAs. The raw submissions have gone through a statewide consolidation process which QAs selected common attributes.

These are the Endorsed Electricity Utility Exemption projects under the Electricity Utility Exemptions