A presence/absence of tree cover dataset is derived from statewide dataset aerial photography with a minimum of 20cm pixel resolution. The mapping of tree cover was based a upon a machine learning technique. Tree cover is defined as woody vegetation greater than approximatley two metres in height.

Victorian state-wide dataset containing information on natural features at each ocean beach relating to the surf zone and hydrology, beach system or type, dominant shoreline geology and beach presence. The dataset includes surf zone data on rip currents, swash gradient, tidal range (neap and spring), modal wave height, dominant swell direction and wave frequency. This dataset has been adapted from the Australian Beach Safety and Management Program (ABSAMP) 1999, joined with the VicCoastline 2008 dataset and the geology classified using the smartline coastal data segmentation dataset as produced in the Australian Coastal Geomorphic and Stability Mapping Project.

Areas of catchments that drain directly to Victorian estuaries - i.e. not via major freshwater tributaries. This data updates the previous EST_CATCH (Deakin) layer for use in the 2021 Index of Estuarine Condition. Boundaries were determined from a digital elevation model (DEM) and were compared with DELWP boundaries for some estuaries (where DELWP data existed (i.e. in the estuary fluvial catchment layer [WATER_EST_FLUV_VSDL] available on the Victorian Spatial Data Library [January 2020]). On steep land (the Otways, east Gippsland etc) the boundaries align well. On the flatter areas there are some discrepancies between the DEM derived boundary and the DELWP derived boundary. For some catchments the DELWP boundaries are more accurate, but for others the DEM derived boundary is more accurate. Final catchment boundaries were determined by adopting the DEM derived boundary where there was good alignment with the DELWP layer and then adjusting just the contested boundaries to choose the one that appeared most accurate based on the rationale specified for each estuary below.

Coastal Wave Model Statistics dataset is a high-resolution third-generation wave model based on unstructured grids. WAVEWATCH III was used to investigate the wave climate of Bass Strait and South-East Australia over the period 1981 to 2020. The model results are extensively validated against a network of coastal buoys and demonstrate that the model can capture the overall wave characteristics in this region. Analyses of model outputs across the 40-year period show that significant wave height has increased by approximately 5% and a slight counterclockwise rotation of peak wave direction has occurred with likely implications for coastal processes. Seasonal variations show higher significant wave height in winter compared to summer, which is driven by dominant Southern Ocean swell. The peak wave direction in the eastern region shifts from south-westerly in winter to south-easterly in summer. In autumn and winter, there is a statistically significant correlation between wave conditions and the Southern Annular Mode. During these seasons, a southward movement of Southern Ocean low pressure systems is associated with increased significant wave height, an increase in the peak wave period and a counterclockwise rotation of the peak wave direction. 1. Liu, J., Meucci, A., Liu, Q., Babanin, A. V., Ierodiaconou, D., & Young, I. R. (2022), The wave climate of Bass Strait and south-east Australia. Ocean Modelling, 172, 101980. https://doi.org/10.1016/j.ocemod.2022.101980. 2. Tran, H. Q., Provis, D., & Babanin, A. V. (2021), Hydrodynamic Climate of Port Phillip Bay. Journal of Marine Science and Engineering, 9(8), 898. https://doi.org/10.3390/jmse9080898

This layer contains divisions of Victorian biounits as classified to CBICs Level 4 biotope complexes as points. At this level of the hierarchy, biotopes are grouped into sets with similar physical and biological characteristics.

Victorian State-wide dataset containing features of interest including boating clubs, camping grounds, caravan parks, historic sites, lifesaving clubs and lookouts as identified by the Victorian Regional Coastal Boards and reviewed as part of the Future Coasts SECAP project.

The Allocation Order 2013 made under section 13 of the Sustainable Forests (Timber) Act 2004 allocates and vests specified timber in State forests to VicForests for the purpose of harvesting and selling. This dataset specifies the spatial extent and location of these timber resources, by forest stand type. The Allocation Order 2013 was amended in October 2014 and April 2019. The dataset VicForests_Allocation_Apr2019 specifies the spatial extent and location of the vested timber resources according to the April 2019 amendment, gazetted on 24 April 2019.

IEC2021_SUB_VEG is the spatial representation of submerged vegetation used in the calculation of Index of Estuarine Condition (IEC) scores. In the context of the IEC, 'submerged vegetation' refers to aquatic plants attached to bottom sediments that are generally entirely submerged but may be exposed during very low tides. Field data was collected at various locations within the estuary to ground-truth the mapping of full coverage derived from available aerial imagery. The field data was collected in late spring, summer and early autumn to correspond with warmer water temperatures and longer photoperiods, and to avoid winter periods of submerged vegetation dieback. In the field, ground-truthing by taking photos of the benthic environment largely followed the protocols outlined in Woodland and Cook (2015). If the estuarine bed was visible, photographic samples were collected of the different vegetation types present. Coverages of these different vegetation types (e.g. dense, sparse) were also photographed as well as bare ground. Ground-truthed benthic images were mapped over high-resolution (<20 cm) aerial imagery sourced from the DELWP imagery archive. Only imagery later than 2010 was considered, with most of the imagery used captured later than 2015. RPAS imagery collected for some estuaries was geo-rectified and mosaicked to provide very high-resolution imagery for mapping. Mapped areas were then compared to the geo-referenced ground-truthed benthic images and assigned a vegetation-coverage class and an indication of classification confidence (High, Medium or Low). For each estuary, MA:TV was then derived from the ratio of total macroalgae area to total vegetated area (i.e. seagrass and macroalgae) as per Woodland and Cook (2015). Briefly, vegetated habitat areas were weighted by their coverage classes such that polygons assigned `sparse¿medium¿ coverage were considered to contain 50% vegetation, and those assigned as `dense¿ coverage were considered as 100% vegetated. The ratio of macroalgae to total vegetation (MA:TV) was calculated as the sum of the weighted macroalgae areas divided by the sum of the weighted seagrass and macroalgae areas. MA:TV ranges from 0 to 1.

Area that is impacted by the reduced car parking requirements for uses in commercial areas and for land within walking distance of high-quality public transport. For land within 400m of public transport (as shown on the new Principal Public Transport Network Area Maps, the reduced carparking rates specified in Column B of Table 1 in Clause 52.06 will apply. These rates will apply to the whole of a site, even if it is only part of the site which is within the PPTN Area

This layer contains divisions of Victorian biounits as classified to CBICs Level 4 biotope complexes as polygons. At this level of the hierarchy, biotopes are grouped into sets with similar physical and biological characteristics.