This dataset comprises information about a selection of historical plans of Melbourne and suburbs. Includes muncipality and suburb name, main street names as well as links to corresponding digital images.

Set of detailed fire insurance maps from the State Library of South Australia’s map collections. The map set covers part of the City of Adelaide, South Australia and was surveyed and drawn 1911-1914 by John Reid Ferguson for the Fire Underwriters' Association of South Australia. Scale approximately 1:480. Includes parts of North Terrace, King William Street, Rundle Street (Mall), Adelaide Arcade, Gawler Place, Grenfell street, Pulteney Street, Hindmarsh Square, Pirie Street, Flinders Street and Hindley Street. Shows land use including building usage, some street numbers and business names. This dataset consists of 21 map files in JPEG & PDF versions.

The Upland Heath Swamps Plot Network Fire History Data Package records the history of fire across 54 established swamp monitoring sites in upland swamps scattered throughout the study area (Keith and Myerscough 1993). The fire history prior to the establishment of plots in 1983 has been compiled from records and maps held by Sydney Catchment Authority and the National Parks and Wildlife Service including wildfires and prescribed burns (Keith et al. 2006). Since 1982, fire occurrences on the plots have been verified by personal observations (David Keith). Spatial distributions of upland swamp vegetation was interpreted visually from aerial photography flow in 1960 and 1998, and the data were digitally captured and stored. The Upland Heath Swamps Plot Network research plots were established in 1983. A synopsis of related data packages which have been collected as part of the Upland Heath Swamps Plot Network’s full program is provided at http://www.ltern.org.au/index.php/ltern-plot-networks/upland-heath-swamps.

Each 'Precinct Structure Plan' describes the planned land uses for new development in specific parts of Melbourne’s Growth Areas. The official Future Urban Structure (FUS) plan (also now known as a ‘Place Based Plan’) for any individual area is contained in the approved PSP documents incorporated into the relevant municipal planning schemes for that area. Copies are available as *pdf downloads on the VPA website or from the relevant municipality. The Victorian Planning Authority’s (VPA’s) FUS LandUse data has been generated by amalgamating individual PSP data. Various PSPs have been generated over many years and by different organisations and processes. This FUS data is therefore a simplified combination of data that originally comprised different formats and structures.

We used a case study in an Australian wet montane forest to establish how predictive fire simulation models can be interpreted as management tools to identify potential fire refuges. We tested the ability of a topographically based fire prediction model developed by Mackey et al (2002) in the O’Shannassy and Maroondah water catchments, NE north-east of Melbourne, Australia, with fire severity data collected following a large wildfire in 2009 in the same area. We derived our fire severity data from a larger map created by the Department of Sustainability and Environment (2009), using SPOT satellite imagery and the normalised-burnt ratio. We examined the relationship between the probability of fire refuge occurrence as predicted by an existing fire refuge model and fire severity experienced during a large wildfire. We also examined the extent to which local fire severity was influenced by fire severity in the surrounding landscape. We used a combination of statistical approaches including generalised linear modelling, variogram analysis and receiver operating characteristics and area under the curve analysis (ROC AUC). We found that the amount of unburnt habitat and the factors influencing the retention and location of fire refuges varied with fire conditions. Under extreme fire conditions, the distribution of fire refuges was limited to only extremely sheltered, fire-resistant regions of the landscape. During extreme fire conditions, fire severity patterns were largely determined by stochastic factors that could not be predicted by the model. When fire conditions were moderate, physical landscape properties appeared to mediate fire severity distribution. Our study demonstrates that land managers can employ predictive landscape fire models to identify the broader climatic and spatial domain within which fire refuges are likely to be present. It is essential that within these envelopes, forest is protected from logging, roads and other developments so that the ecological processes related to the establishment and subsequent use of fire refuges are maintained. Department of Sustainability and Environment (2009) Remote sensing guideline for assessing landscape-scale fire severity in Victoria’s forest estate. Unpublished technical manual., Department of Sustainability and Environment, Melbourne. Mackey, B., D. Lindenmayer, M. Gill, M. McCarthy, and J. Lindesay. 2002. Wildlife, Fire and Future Climate: A Forest Ecosystem Analysis. CSIRO publishing, Collingwood.

The Mallee Plot Network Disturbance History Data Package contains fire occurrence data for fifty-three experimental 0.2 hectare sites which have been established on dune crests and upper slopes in Tarawi Nature Reserve; Scotia Sanctuary and Danggali National Park. This is part of a much larger dataset that spans from 1996 to 2011. The Mallee Plot Network research plots commenced in 1996 and were revisited annually for 3 years and then on a decadal basis. A synopsis of related data packages which have been collected as part of the Mallee Plot Network’s full program is provided at http://www.ltern.org.au/index.php/ltern-plot-networks/mallee

State Planning Policy 3.7 Planning in Bushfire Prone Areas (SPP 3.7) directs how land use should address bushfire risk management in Western Australia. It applies to all land which has been designated as bushfire prone by the Fire and Emergency Services (FES) Commissioner as highlighted on the Map of Bush Fire Prone Areas. This boundary dataset is to determine which type of BAL assessment is applicable; self-assessed or by an accredited person. Allowances have been made for new single houses or ancillary dwellings (e.g. granny flats) proposed in a remote location. In remote areas where a proposed new single house or ancillary dwelling will be located outside a 50 km radius of a gazetted townsite, a property owner may be able to complete their own BAL assessment. If your proposed development is located in the Perth, Peel, Great Southern or South West regions, this ‘special provision’ will not apply.

FireTools Cloud is a web-based GIS processing environment developed by the NSW Bushfire Risk Management Research Hub, a NSW focused research partnership between the NSW Department of Planning, Industry and Environment, the University of Wollongong, Western Sydney University, the University of NSW, the University of Tasmania, the University of Melbourne and the NSW Rural Fire Service. It is designed to replicate and replace the functionality of the FireTools II ArcGIS processing plugin to assist in fire management planning. Users upload a datapack containing the GIS files used to run a standard FireTools II analysis, configure the layers and fields that define the analysis, and submit the analysis for processing. After processing is complete, users can download a results pack containing GIS files with analysis results. Selected results are distributed for use as described below. Results are true and correct only for the reserves within the NPWS Greater Sydney Branch. Fire history outside the reserves is incomplete so results should not be relied upon. Layers in this data package: Heritage threshold status: Input vegetation classified into LongUnburnt, WithinThreshold, Vulnerable, TooFrequentlyBurnt, Unknown and NoFireRegime (raster and vector). This layer is used to monitor the status of vegetation across the study area with respect to its biodiversity-related impacts of fire. Number of times burnt: The number of times any given point within the study area has been intersected by a burnt area polygon in the fire history (raster and vector) Time Since Last Fire: The number of years since any given point within the study area has been intersected by a burnt area polygon in the fire history (raster and vector) Time Since Last Fire SFAZ: The number of years since any given Strategic Fire Advantage Zone (SFAZ) within the study area has been intersected by a burnt area polygon in the fire history. This is then classified into 3 time slices whereby 0-6 years = Recently Treated, 7-10 years = Monitor OFH in the field and >10 years = Priority for Assessment and Treatment. (raster and vector). This layer is used to find candidate burn blocks to assess for addition into a hazard reduction program of works. Vegcode: A simple display layer showing the input vegetation groups over the study area. This is not a fully attributed vegetation layer – it is designed as a simple visual (raster only). VegBase: This is a copy of the input veg used, showing just the VEG code, MIN, MAX. Can be used to analyse what is driving results in a given location. Data is updated up to 4 times per year.

This dataset contains active and planned activities across the City of Melbourne area. Activities include city works (such as proposed road closures, footpath works or reserved parking permits) and event bookings. The information is derived from permits which are issued by City of Melbourne. Each activity includes geo-spatial information to indicate the general area of the activity. The spatial information is not indicative of the activity size as the activity may only take up a small portion of the area for the entry. The start and end date fields indicate that the event/activity is expected to occur within this time range. The actual activity may be active for significantly shorter duration than the start and end dates. Additional column value information can be found in the attachment (.xlsx) below.