For legal purposes, the extents of Local Government areas (described as Local Government Districts within the relevant legislation) are determined by technical description and are published in the Government Gazette. This dataset should not be used or referred to for legal purposes. Re-description or partial re-description can be gazetted at any time, but changes that affect multiple LGA definitions generally come into effect on the 1st of July following the gazettal. If the LGA change does not affect another LGA, the change can, and generally does take place at the time of Government Gazettal publication. Amendments/changes to the SCDB are formalised at the time specified in the gazettal notice. LGA boundaries do coincide with ward boundaries (where ward systems exist). LGA’s often, but do not have to, coincide with Postal Localities as they are datasets that are independent of one another. Note: For Local Government Areas that include "islands adjacent": this dataset depicts a generalised offshore polygon to encompass islands within a Local Government jurisdiction and does not imply Local Government jurisdiction over the water. For legal definition regarding any Local Government Area, Government Gazette publications should be referred to. Note. Names in the SCDB are limited to 32 characters, and where names are longer than 32 characters, they are shown abbreviated. Licensing © Western Australian Land Information Authority (Landgate) 2017. Use of Landgate data is subject to Personal Use License terms and conditions unless otherwise authorised under approved License terms and conditions. If you have any questions or require further information, please contact your Landgate Service Manager or email BusinessSolutions@landgate.wa.gov.au.

This layer supersedes Ward Boundaries (LGATE-051) A digital representation of the local government Ward boundaries for the state of Western Australia. Ward boundaries are being progressively added. Not all local governments are divided into wards. Local government councillors are elected to represent either the whole local government or a particular ward. Derived from the Spatial Cadastral Database (SCDB) and based on GDA 94. Updated regularly when amendments/changes are formalised. For more information, please contact your Landgate Service Manager or email BusinessSolutions@landgate.wa.gov.au. © Western Australian Land Information Authority (Landgate). Use of Landgate data is subject to Personal Use License terms and conditions unless otherwise authorised under approved License terms and conditions.

This dataset is part of the Geographical repository maintained by Opendatasoft. This dataset contains data for Local Government Areas in Australia.The ASGS Local Government Areas are an ABS approximation of gazetted local government boundaries as defined by each State and Territory Local Government Department. Local Government Areas cover incorporated areas of Australia. Incorporated areas are legally designated parts of a State or Territory over which incorporated local governing bodies have responsibility. The major areas of Australia not administered by incorporated bodies are the northern parts of South Australia, and all of the Australian Capital Territory and the Other Territories. These regions are identified as ‘Unincorporated’ in the ASGS Local Government Areas structure.More information on local governments can be found at the Australian Local Government Association website: http://www.alga.asn.au The suffix on Long Official Name Local Government Area indicates the Local Government Area status: Cities (C), Areas (A), Rural Cities (RC), Boroughs (B), Shires (S), Towns (T), Regional Councils (R), Municipalities/Municipal Councils (M), District Councils (DC), Regional Councils (RegC), Aboriginal Councils (AC).Processors and tools are using this data.EnhancementsAdd ISO 3166-3 codes.Simplify geometries to provide better performance across the services.

Department of Water and Environmental Regulation Regional Boundaries were created as a result of the splitting of Department of Water and Environmental Regulation from the Department of Environment. At the time of creation the Department of Water and Environmental Regulation and Department of Environment boundaries were the same. Department of Environment regional boundaries defined by a combination of hydrographic basins, Local Government Authorities, National Heritage Trust and other administrative boundaries. Boundaries used for the effective delivery of departmental services across Western Australia. The Department of Water and Environmental Regulation administers a variety of environmental services to the public through 16 regional offices throughout Western Australia. Services include collection and analysis of water resources information, issuing licences, regulating water use, protecting the quality of our water, and preparation of policies and plans critical to the future development of Western Australia. The boundaries define the jurisdictional boundaries for regional offices to deploy DWER services. This dataset was formerly known as Department of Water (DoW) Regional Boundaries (DOW-062)

This Data WA entry has been created to provide a single source for the Administrative Area Data Dictionary that describes the new Administrative Area datasets/layers published to SLIP by Landgate. This Data Dictionary is for the following Landgate SLIP Layers: Agricultural Areas (LGATE-228) Districts (LGATE-229) Estate Areas (LGATE-230) Infrastructure Corridor (LGATE-231) Land Divisions (LGATE-232) Local Government Authority (LGA) Boundaries (LGATE-233) Localities (LGATE-234) Marine and Harbour Areas (LGATE-235) Marine Management Areas (LGATE-236) Marine Nature Reserves (LGATE-237) Marine Parks (LGATE-238) Port Authorities (LGATE-243) Railway Corridor (LGATE-244) State Border (LGATE-245) State Forests (LGATE-246) Suburban Areas (LGATE-247) Townsites (LGATE-248) Ward Boundaries (LGATE-249) Water Control Areas (LGATE-250) © Western Australian Land Information Authority (Landgate). Use of Landgate data is subject to Personal Use License terms and conditions unless otherwise authorised under approved License terms and conditions.

Using CSIRO’s Urban Monitor high resolution digital photography, vegetation height strata of endemic and exotic species has been calculated and reported as an area for each height strata of 0 – 3 m, …Show full descriptionUsing CSIRO’s Urban Monitor high resolution digital photography, vegetation height strata of endemic and exotic species has been calculated and reported as an area for each height strata of 0 – 3 m, 3 – 8 m, 8 – 15 m and 15+ m. The area of grass covered areas falling into the 0 – 50 cm range has also been calculated and recorded in square metres and percentage of total parcel area. Vegetation coverage greater than 3 metres in height has been deemed tree canopy. The canopies have been aggregated and reported as total canopy coverage in square metres, percentage of total parcel area and percentage range. Parcels to be analysed were sourced from the 2016 Integrated Land Information Database (ILID) and supplied to CSIRO by the Department of Planning, Lands and Heritage. The results were assembled into Urban Forest features where the Urban Monitor coverage was complete and published for the following years: 2009, 2014, 2016, 2018. Land parcels were assigned locational data (2016 ABS meshblocks, suburbs, local government authority (LGA) and planning sub-region) based on the parcel centroid. They were then attributed with the following land use categories: • Street Block: residential, commercial, industrial, hospital/medical, educational, and some agricultural and transport land uses • Parks: public parks, open space, private recreation grounds and State Forest • Roads: roads including road reserves • Other Infrastructure: rail, airports and utilities infrastructure • Other: land uses in transition that have not progressed sufficiently to be Street Blocks or do not conform to urban form • Rural: primary production land that does not fall in categories above • Water: ocean and other waterways, including reservoirs The vegetation height strata areas and total canopy coverage values were calculated for each land parcel, with percentage and range values based on total parcel area. Some parcels have incomplete coverage or are excluded from Urban Forest in some years. When undertaking comparative analysis between years, especially at an aggregated level (higher than parcel level), a filter must be applied using the In[YEAR] field. Failure to filter may result in higher levels of change being reported. For example, if undertaking percentage change in total canopy coverage between 2009 and 2018 at a LGA level, apply a filter on the 2018 data of In2009 = Yes first before aggregating to LGA level. This removes all parcels that were not represented in the 2009 data and allows a like-for-like comparison. NOTE: As locational attributes were populated based on the location of the parcel centroid, aggregating areas for larger administrative boundary units (Meshblock, Suburb, Local Government Authority or Sub-region) must be undertaken carefully as parcels sometimes cross boundaries. When calculating percentage cover for these boundaries, the total area based on the aggregated boundaries should be used, not the area based on the administrative boundary polygon.

Please zoom in to a town or local area for data to display.Abstract The Historical Bushfire Boundaries Dataset (version 2) represents the aggregation of jurisdictional supplied burnt areas polygons that date from the early 1900s through to 2023 (excluding the Northern Territory). The burnt areas represent curated jurisdictional owned polygons of bushfires and prescribed (planned) burns. This dataset was produced under Work Stream 1C - Activity 3 of the National Bushfire Intelligence Capability (NBIC) , a collaborative partnership between:

Australian Climate Service CSIRO (NBIC) Geoscience Australia Emergency Management Spatial Information Network (EMSINA)

Under agreement this Project (Activity 3) will release a nationally consistent, harmonised and standardised historical bushfire boundary dataset derived from the authoritative state and territory agencies in both 2023 (this dataset) and again in November 2024.
The information released within this dataset is reflective of the data supplied by participating authoritative agencies. It may, or may not, represent all fire history within that jurisdiction. Geoscience Australia's role within this project is to:

negotiate access to the state/territory historic bushfire boundary datasets aggregate, harmonise and standardise the jurisdictional data against the Australasian Fire Authorities Council (AFAC) National Bushfire Boundary Standards host the completed spatial product(s) arrange for the 'Historical Bushfire Boundaries' spatial dataset to be accessible through Geoscience Australia’s external data catalogues and through the new Digital Atlas of Australia platform ensure stakeholders have access to regular project updates.

To harmonsise and standardise this dataset Geoscience Australia have utilised the AFAC endorsed data dictionary for fire history. This data dictionary and the definitions provided allowed Geoscience Australia to map common attributes from both sources. Unfortunately, not all attributes mapped across like-for-like. This resulted in Geoscience Australia either modifying or joining some of the jurisdictional attributes to fit or Geoscience Australia added them during the processing stage. Currency Date created: 03 March 2023 Date modified: November 2023 Next modification date: November 2024 Spatial Extent

West Bounding Longitude: 112° South Bounding Latitude: -44° East Bounding Longitude: 154° North Bounding Latitude: -9°

Source Information Catalog entry: Bushfire Boundaries – Historical Lineage Statement This dataset extends upon the first version of this dataset to be built and released under the Australia Research Data Commons Project in early 2023.
This dataset (version 2) represents an updated aggregation of each jurisdiction (except the Northern Territory) fire history data to include information from the 2022-23 bushfire season.
Agencies that have provided data include:

Australian Capital Territory Parks and Conservation
New South Wales Parks and Wildlife Service Queensland Parks and Wildlife Service South Australia Department of Environment, Water and Natural Resources Tasmania Department of Natural Resources and Environment Victorian Department of Environment, Land, Water and Planning Western Australia Department of Fire and Emergency Services

The Northern Territory Government is progressing in the development of their Bushfire Boundary Capabilities. Work is underway with the relevant agencies to incorporate Northern Territory Government approved Historical Bushfire Boundary data in the future.
Product standardisation: The data provided by each jurisdiction is standardised and harmonised. This process maps the existing state/territory attributes to the National Data Schema that was agreed to and endorsed by the participating state agencies and the Australian Fire and Emergency Services Authorities Council. The Digital Atlas of Australia data team published an optimised Bushfire Boundaries Historic dataset designed to perform efficiently in either a desktop application or a web service.
This process utilised FME to reduce the processing time on millions of vertices within the complex dataset:

Dataset projected to epsg:4326 to align with the near real time services hosted on the Digital Atlas of Australia Removes island or donut polygons within a fire extent, therefore a fire extent is shown with an outline and no internal parts Create separate polygon chunks based on 10000 vertices while maintaining the same attributes for each chunk of the identified fire, if a fire consists of multiple polygons each polygon is counted separately within the identified fire

As a result the Bushfire Boundaries Historic dataset hosted in the Digital Atlas of Australia has more records than the original dataset. Data Dictionary All Layers

Attribute Name Description

fire_id ID attached to fire (e.g. incident ID, Event ID, Burn ID).

fire_name Incident name. If available.

fire_type Binary variable to describe whether a fire was a bushfire or prescribed burn.

ignition_date The date of the ignition of a fire event. Date and time are local time zone from the State where the fire is located and stored as a string.

capt_date The date of the incident boundary was captured or updated. Date and time are local time zone from the Jurisdiction where the fire is located and stored as a string.

capt_method Categorical variable to describe the source of data used for defining the spatial extent of the fire.

area_ha Burnt area in Hectares. Currently calculated field so that all areas calculations are done in the same map projection. Jurisdiction supply area in appropriate projection to match state incident reporting system.

perim_km ) Burnt perimeter in Kilometres. Calculated field so that all areas calculations are done in the same map projection. Jurisdiction preference is that supplied perimeter calculations are used for consistency with jurisdictional reporting.

state State custodian of the data. NOTE: Currently some states use and have in their feeds cross border data

agency Agency that is responsible for the incident

date_retrieved The date and time that Geoscience Australia retrieved this data from the jurisdictions, stored as UTC. Please note when viewed in ArcGIS Online, the date is converted from UTC to your local time.

Fire Type definitions

Data Source Category Description

Bushfire Unplanned vegetation fire. A generic term which includes grass fires, forest fires and scrub fires both with and without a suppression objective. Also known as wildfire, accident, arson, lightning.

Prescribed Burn The controlled application of fire under specified environmental conditions to a predetermined area and at the time, intensity, and rate of spread required to attain planned resource management objectives. Also known as planned burning, fuel reduction, traditional owner, ecological, hazard reduction

Unknown Fire type is undetermined.

Ignition Cause definitions

Data Source Category Description

Accidental Fires that are not the result of a deliberate (intentional) act.

Natural Fires that ignite without human intervention.

Incendiary Fires result from deliberate acts, intentional actions, or circumstances for the fire to occur in areas where it should not have occurred.

Undetermined Fires that have not yet been investigated, under investigation or fires that have been investigated and the cause is not proven to an acceptable level of certainty.

Capture Method definitions

Data Source Category Description

Aerial photography Derived from Aerial photography including manual interpretation as well as partially automated and fully automated methods.

Linescanner Mapped against airborne sensor systems.

Ground intelligence Mud map from ground observation.

Ground intelligence GPS Fire boundary derived from ground (e.g. GPS tracker, Avenza).

Air intelligence Mud map from air observation.

Air intelligence GPS Fire boundary derived from air (e.g. helicopter, spotter).

Himawari Derived from geostationary satellite Himawari and includes manual interpretation as well as partially automated and fully automated methods (spatial accuracy ± 2 kilometres).

NOAA AVHRR Derived from Low Resolution - NOAA AVHRR satellite including manual interpretation, partially automated and fully automated methods (spatial accuracy ± 1 kilometres).

MODIS Derived from Low Resolution - MODIS satellite imagery including manual interpretation as well as partially automated and fully automated methods (spatial accuracy ± 250 metres).

VIIRS Derived from Low Resolution - VIIRS satellite imagery including manual interpretation as well as partially automated and fully automated methods (spatial accuracy ± 375 metres).

Landsat Derived from Medium Resolution - Landsat satellite imagery including manual interpretation as well as partially automated and fully automated methods (spatial accuracy ± 30 metres).

Sentinel Derived from Medium Resolution - Sentinel satellite imagery including manual interpretation as well as partially automated and fully automated methods (spatial accuracy ± 10 - 20 metres).

Multiple Derived from multiple sources e.g. combination of ground intel and linescanner. For detailed information contact agency or state responsible.

Unknown Data Source is unknown.

Contact Geoscience Australia, clientservices@ga.gov.au

The Recreation and Conservation Office (RCO) was asked by the state Legislature to provide an inventory of lands in Washington owned by federal, state, and local governments, and by Native American tribes by July 1, 2014 (2013-15 Capital Budget proviso, Section 3174 of Engrossed Substitute Senate Bill 5035).The Public Lands Inventory focuses on natural resource and recreation lands and shows ownership (federal, by agency; state, by agency; local government, by county or city), ownership type (fee simple or assumed fee simple; aquatic, upland, or assumed upland), location, acreage, principal use (developed recreation, habitat and passive recreation, revenue generation, conservation, assumed habitat and passive recreation, other, or unknown), and the date and cost of recent acquisitions (within the past ten years).

The BSST was created for the Washington State Transportation RRAP which analyzed state highway and roads and their impacts from a Cascadia 9.0M earthquake. The RRAP report is available here: https://mil.wa.gov/asset/5d8ba2a03a1b7. The state bridge results in GIS format are available here: https://www.wsdot.wa.gov/mapsdata/geodatacatalog/default.htm . Technical and user manuals for the BSST tool are available here: https://www.osti.gov/biblio/1581518-washington-state-highway-bridge-seismic-screening-tool-bsst-technical-report In addition to the state bridges that were analyzed above, local bridges were obtained from WSDOT and analyzed in the BSST which is the data that is presented here. The data was provided from WSDOT to CISA Region 10. Much of the data for local (city/county) bridges were taken from the national bridge inventory and additional data that WSDOT had available. The local data used in the BSST is not complete and should be updated at the local level by bridge engineers and GIS specialist and analyzed in the BSST to ensure the latest bridge information is included in the tool. The data provided here is an initial analysis using data from WSDOT but it is recommend that local jurisdictions update their information and re-run the tool to ensure the most accurate data is used. The data provided here only includes bridges in western/central WA and only for a Cascadia 9.0M event. The 4,306 local highway bridges incorporated into this study from the WSDOT bridge inventory database were assessed using the BSST analysis methodology detailed previously in this report. Results consist of three types of outcomes: Bridge Damage Levels and Types, Bridge Repair Types, and Bridge Reopening Times. All output is a part of this feature class. Bridge damage types are projected on the basis of both damage level (None, Moderate, Significant), whether a bridge is a special bridge type, and also the types of damage that the bridge will experience (including both direct seismic and secondary earthquake-induced impacts); The projected repair types and reopening times necessary to bring bridges back to a minimum level of functionality that enables their use for emergency response were computed using the methodology specified in the Bridge Reopening Times section. Refer to the BSST Technical Report. The BSST was developed to assess the potential impacts of a CSZ earthquake to highway bridges in Washington State at a system-level as part of the Washington State Transportation Systems RRAP project. The results provided identify the Damage Levels, Damage Types, Repair Types and Reopening Times associated with 4,306 bridges located in Western and Central Washington that were evaluated for this RRAP project. Understanding that this analysis likely constitutes a “worst-case scenario” with respect to bridge damage, the results nonetheless project that the majority of bridges in Washington State will experience moderate to significant damage resulting from a CSZ earthquake. While the majority of bridges that experience damage could be reopened within one year of the earthquake, a substantial number of those bridges are projected to take more than a year to reopen—in many cases 2 or more years. The results also project that while many bridges may be reopened after either minor repairs/inspections or the construction of a temporary bypass road, a substantial number of more significantly damaged bridges span bodies of water and will require complete replacement prior to reopening. This suggests that significant gains in roadway corridor reopening times could be gained by focusing on retrofits or upgrades to these more vulnerable bridges that span rivers and other bodies of water. This tool is primarily intended to inform regional highway prioritization for emergency response activities; however, the BSST provides a useful evaluation methodology that could be applied to other regional emergency preparedness and infrastructure assessment studies. This could include studies of bridge infrastructure to other potential seismic events within the region, or at varying jurisdictional levels (i.e., county, local). The BSST also uses currently available seismic, seismically-induced secondary hazard and infrastructure information. As new seismic information becomes available, or as secondary-hazards (e.g., landslides, avalanches) become characterized more comprehensively, such information could be integrated into the current BSST methodology. Similarly, as seismic retrofit activities or other infrastructure improvement projects continue throughout Washington State, or as new infrastructure are built, it will be important that the infrastructure data integrated in the BSST also be updated periodically. Doing so will ensure that planners and infrastructure managers maintain the most current and complete understanding of the network-level seismic risks of a CSZ event to bridges in Washington. Please note that all results from the BSST are based on a model and information received from WSDOT. Damages from an earthquake may be different than what is provided here. Liquefaction data was used within the BSST tool. WADNR is the source for liquefaction data and is available here: https://www.dnr.wa.gov/programs-and-services/geology/geologic-hazards/geologic-hazard-maps#nehrp-site-class-and-liquefaction-susceptibilityUSGS ShakeMap was also used in the BSST tool for a M9.0 Cascadia earthquake and is available here: https://earthquake.usgs.gov/scenarios/eventpage/gllegacycasc9p0expanded_se/shakemap/pga. Data Assumptions/MethodologyData was provided by WSDOT for all local bridges. Data was transferred into BSST format. Bridges that were not included in the Cascadia 9.0M ShakeMap were removed from the tool. This mainly encompasses bridges in the far eastern side of the state. Removed all bridges that were designated as a pedestrian, trail or dam. Removed all bridges that had null or 0 structure length. Those bridges that had no main span quantity, all were changed to 1, meaning a single span bridge. For the bridges missing the federal functional class a value of 9 was assigned. For the bridges with a null in waterway adequacy these values were changed to N. For those bridges that had a null value for scour code these were change to N. Some points had low accuracy coordinates (lat/longs), so these locations were removed from the database since they could not be found. For those bridges that had a BMS elements ID related to a Pier Wall a W code was added to the Pier Type in the road bridges spreadsheet of the BSST tool. This would ensure these bridges were counted as having a pier wall. This information should be updated and verified by local jurisdictions. Snohomish County used the tool for their local bridges. A few of the bridges output in this tool was updated to reflect their results since better data was provided by the county. The tool uses AASHTO curves from various years. These curves were digitized in GIS from a pdf map. The accuracy of these maps could be up to +/- 10 miles due to digitizing the data at the state level. Most of the offset occurred in eastern WA, so impacts should be minimal.

Regional Development Australia (RDA) is an Australian Government initiative that brings together all levels of government to enhance the growth and development of Australia-C/s regions. national network of RDA committees has been established to achieve this objective.

RD Regions are created and maintained by the Regional Australia, Local Government, Arts and Sport to support this initiative.

Notes

The RD Regions (2011) were built from the ABS LG 2011 boundary dataset.

The RDAA spatial dataA is updatedA as new LG boundaries as released by ABS or as RD regional boundaries move.AA

On the 16th of August 2011, the RDAA representation of Lord Howe Island, previously RD Northern Rivers was changed to RD Mid North Coast.A The 2011 dataset has been updated to reflect this change.

NT, Tas and ACT

These states and territories are defined as single RD regions.

SA

RD regions are not completely defined with S LG boundaries, with some RDA regions being defined from the previously existing 2007 South Australia Government Region boundaries.A Thus, the large unincorporated S LG (Outback Communities Authority) is divided between 3 RDAs (see "http://www.planning.sa.gov.au/go/State-Government-Regions">S Government Regions for more information).

NSW

RD South Coast includes the external territory of Jervis Bay.A In previous data releases, Lord Howe Island (part of the ABS Unincorporated NSW) was part ofA RD Northern Rivers. On the 16 of August 2011, Lord Howe Island declared to be represented by Mid North Coast

Norfolk Island IS NOT part of any RDA

VIC

Unincorporated VIC (Snow fields and Islands) have been combined into their surrounding RDAs

WA

The external territories of Christmas Island and Cocos/Keeling Islands are part of RD Mid West Gascoyne.

There was also an amalgamation between the City of Geraldton-Greenough and Shire of Mullewa on the 1st of July 2011A to formA the City of Greater Geraldton.A The LG code for Geraldton-Greenough (53520) was retained for the new City of Greater Geraldton.

The DFES EmergencyWA Total Fire Ban Area dataset contains active Local Government Authority boundaries where a Total Fire Ban has been declared or revoked. Refer to the DFES Website for more information on Total Fire Bans (https://www.dfes.wa.gov.au/hazard-information/bushfire/total-fire-ban). Show full description

The Natural Resource Management (NRM) Regions dataset is maintained for the purpose of reporting on the Australian Government's NRM investments. The dataset is designed to cover all Australian …Show full descriptionThe Natural Resource Management (NRM) Regions dataset is maintained for the purpose of reporting on the Australian Government's NRM investments. The dataset is designed to cover all Australian territory where Australian Government funded NRM projects might take place and includes major islands, external territories, and state and coastal waters in addition to the NRM regional boundaries. This 2014 version marks the change in NSW from Catchment Management Authorities (CMA) to Local Land Service areas which will now be used for NRM regions in NSW. The 2012 version updated and formalised the 2010 dataset (which was an interim update of the NRM Regions 2009 dataset, released Feb 2009). The original base layer version of this dataset was released in 2006 as the Natural Heritage Trust II (NHT2) Region Boundaries dataset. Whilst the boundaries of NRM Regions are defined by legislation in some states and territories this dataset should not be used to represent legal boundaries in any way. It is an administrative dataset developed for the purpose of reporting and public information. It should be noted that from time to time the states and/or territories may revise their regional boundaries in accordance with local needs and therefore alterations to either the attribution or boundaries of the data may occur in the future. Since 2006, NRM regions have been important in the delivery of Australian Government funding initiatives including Caring for our Country, the Natural Heritage Trust, the National Landcare Program, the Environmental Stewardship Program and the Working on Country Indigenous land and sea ranger program. In total, this dataset represents 60 regions as set out below. They comprise 55 mainland regions administered by 54 NRM regional bodies (one region in QLD is jointly administered by two adjacent regional bodies) and seven islands (five administered by the Australian Government as external territories, and two administered by nearby mainland NRM regional bodies). Queensland Border Rivers Maranoa-Balonne Burdekin Burnett Mary Cape York Condamine Desert Channels Fitzroy Mackay Whitsunday Northern Gulf South East Queensland South West Queensland Southern Gulf Torres Strait Wet Tropics Cooperative Management Area (administered jointly by Cape York and Northern Gulf) NSW Central Tablelands Central West Greater Sydney Hunter Murray North Coast (Including Lord Howe Island) North West NSW Northern Tablelands Riverina South East NSW Western ACT ACT Victoria Corangamite East Gippsland Glenelg Hopkins Goulburn Broken Mallee North Central North East Port Phillip and Western Port West Gippsland Wimmera TAS North North West South Macquarie Islands (administered by NRM South) South Australia Adelaide and Mount Lofty Ranges Alinytjara Wilurara Eyre Peninsula Kangaroo Island Northern and Yorke South Australian Arid Lands South Australian Murray Darling Basin South East WA Avon Northern Agricultural Perth Rangelands South Coast South West Northern Territory Northern Territory External Territories (administered by the Australian Government) Ashmore and Cartier Islands Christmas Island Cocos Keeling Islands Heard and McDonald Islands Norfolk IslandCC - Attribution (CC BY) Data to be available in the Public Domain under Creative Commons by Attribution Licensing Agreement. More information can be found here: http://creativecommons.org/licenses/by/3.0/au/deed.en Data to be available in the Public Domain under Creative Commons by Attribution Licensing Agreement. More information can be found here: http://creativecommons.org/licenses/by/3.0/au/deed.en © Commonwealth of Australia (Department of the Environment and Energy) 2014

Using CSIRO’s Urban Monitor high resolution digital photography, vegetation height strata of endemic and exotic species has been calculated and reported as an area for each height strata of 0 – 3 m, …Show full descriptionUsing CSIRO’s Urban Monitor high resolution digital photography, vegetation height strata of endemic and exotic species has been calculated and reported as an area for each height strata of 0 – 3 m, 3 – 8 m, 8 – 15 m and 15+ m. The area of grass covered areas falling into the 0 – 50 cm range has also been calculated and recorded in square metres. Vegetation coverage greater than 3 metres in height has been deemed tree canopy. The canopies have been aggregated and reported as total canopy coverage in square metres. Urban Forest Mesh Blocks have been published for the following years: 2009, 2014, 2016, 2018. Parcels to be analysed were sourced from the 2016 Integrated Land Information Database (ILID) and supplied to CSIRO by the Department of Planning, Lands and Heritage. The results were assembled into Urban Forest features where the Urban Monitor coverage was complete. Land parcels were assigned locational data (2016 ABS meshblocks, suburbs, local government authority (LGA) and planning sub-region) based on the parcel centroid. They were then attributed with the following land use categories: • Street Block: residential, commercial, industrial, hospital/medical, educational, and some agricultural and transport land uses • Parks: public parks, open space, private recreation grounds and State Forest • Roads: roads including road reserves • Other Infrastructure: rail, airports and utilities infrastructure • Other: land uses in transition that have not progressed sufficiently to be Street Blocks or do not conform to urban form • Rural: primary production land that does not fall in categories above • Water: ocean and other waterways, including reservoirs The vegetation height strata areas and total canopy coverage values were calculated for each land parcel. The statistics were then aggregated by the field MB_MonitorCategory, a concatenation of the fields MB_CODE16 and MonitorCategory. Canopy coverage percentages and ranges were calculated based on the sum of the area of parcels within each MB_MonitoryCategory. As parcels with sufficient Urban Monitor coverage for Urban Forest analysis may vary between years making comparison difficult, a field called MBPercentage was added which shows the percentage of the total MB_MonitorCategory area (MBArea) covered by parcels with Urban Forest values for that year. Corresponding MBPercentage values for all published years were also added to inform users. NOTE: As mesh block attributes were assigned based on parcel centroid, aggregated mesh block boundaries based on the parcels may not match ABS mesh block boundaries, and MBAreas will not match ABS mesh block areas.

A key role of the EPA is to provide Government with advice on the environmental acceptability of statutory planning schemes and their amendments. This dataset is a spatial representation of Local Government Authority planning schemes (and their amendments) referred to the EPA under Part IV of the Environmental Protection Act 1986. Part IV of the act provides the legislative framework for the assessment of environmental impacts. The boundaries in this dataset serve as the administrative record of where proposals are spatially assessed against other environmental data of interest. Note that: a) not all proposals contain a spatial component; if not, no boundary is recorded b) the accuracy of boundaries is dependent on the quality of data provided by the proponent. The spatial boundaries in the dataset are provided by proponents (LGAs), with additional attributes completed by DWER Spatial Services.

A lookup file between unitary authorities and local health boards in Wales as at 1st April 2019. (File Size - 16 KB)File includes the boundary change between W11000026 - Abertawe Bro Morgannwg University Health Board and W11000027 - Cwm Taf University Health Board to create W11000030 - Cwm Taf Morgannwg University Health Board and W11000031 - Swansea Bay University Health Board.Field Names - UA19CD, UA19NM, LHB19CD, LHB19NM, FIDField Types - Text, Text, Text, Text, NumericField Lengths - 9, 17, 9, 41FID = The FID, or Feature ID is created by the publication process when the names and codes / lookup products are published to the Open Geography portal. REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/UA19_LHB19_WA_LU_b87eb183406b47819f8b34b605a30929/FeatureServer

Community Council Boundaries

A static historical database of road dedications and closures used for research purposes based on information originally sourced from analogue Road Cards. This tabular database consists of multiple tables with the last known digital edit performed in March 2004. The database is useful when looking for details / historical background regarding old road numbers. Apart from road dedication / road closure details, results could also show if there was a road name applied to a road number at the time of gazettal. Contains information related to • Description of road affected by action • Government Gazette Date • Government Gazette Page • Local Government Authority • Map plan reference • Purpose • Road name • Road number • Survey reference • and more © Western Australian Land Information Authority (Landgate). Use of Landgate data is subject to Personal Use License terms and conditions unless otherwise authorised under approved License terms and conditions.

Based on Landgate’s high resolution aerial imagery, CSIRO generate the Urban Monitor mosaic from which vegetation height strata of endemic and exotic species has been calculated and reported as an area for each height strata of 0 – 3 m, 3 – 8 m, 8 – 15 m and 15+ m. The area of grass covered areas falling into the 0 – 50 cm range has also been calculated and recorded in square metres. Vegetation coverage greater than 3 metres in height has been deemed tree canopy. The canopies have been aggregated and reported as total canopy coverage in square metres. Urban Forest Mesh Blocks have been published for the following years: 2009, 2014, 2016, 2018, 2020. Parcels to be analysed were sourced from the 2016 Integrated Land Information Database (ILID) and supplied to CSIRO by the Department of Planning, Lands and Heritage. The results were assembled into Urban Forest features where the Urban Monitor coverage was complete. Land parcels were assigned locational data (2016 ABS meshblocks, suburbs, local government authority (LGA) and planning sub-region) based on the parcel centroid. They were then attributed with the following land use categories: • Street Block: residential, commercial, industrial, hospital/medical, educational, and some agricultural and transport land uses • Parks: public parks, open space, private recreation grounds and State Forest • Roads: roads including road reserves • Other Infrastructure: rail, airports and utilities infrastructure • Other: land uses in transition that have not progressed sufficiently to be Street Blocks or do not conform to urban form • Rural: primary production land that does not fall in categories above • Water: ocean and other waterways, including reservoirs The vegetation height strata areas and total canopy coverage values were calculated for each land parcel. The statistics were then aggregated by the field MB_MonitorCategory, a concatenation of the fields MB_CODE16 and MonitorCategory. Canopy coverage percentages and ranges were calculated based on the sum of the area of parcels within each MB_MonitoryCategory. As parcels with sufficient Urban Monitor coverage for Urban Forest analysis may vary between years making comparison difficult, a field called MBPercentage was added which shows the percentage of the total MB_MonitorCategory area (MBArea) covered by parcels with Urban Forest values for that year. Corresponding MBPercentage values for all published years were also added to inform users. NOTE: As mesh block attributes were assigned based on parcel centroid, aggregated mesh block boundaries based on the parcels may not match ABS mesh block boundaries, and MBAreas will not match ABS mesh block areas.

This is intermediate dataset stores pending referred scheme boundaries (where no Level of Assessment has yet been determined), and is used for quality assurance purposes prior to updating the EPA Referred Schemes dataset. A key role of the EPA is to provide Government with advice on the environmental acceptability of statutory planning schemes and their amendments. This dataset is a spatial representation of Local Government Authority planning schemes (and their amendments) referred to the EPA under Part IV of the Environmental Protection Act 1986. Part IV of the act provides the legislative framework for the assessment of environmental impacts. The boundaries in this dataset serve as the administrative record of where proposals are spatially assessed against other environmental data of interest. Note that: a) not all proposals contain a spatial component; if not, no boundary is recorded b) the accuracy of boundaries is dependent on the quality of data provided by the proponent. The spatial boundaries in the dataset are provided by proponents (LGAs), with additional attributes completed by DWER Spatial Services.

This dataset contains spatial boundaries for Plot Ratio Plans relating to the City of Perth Planning Scheme No.2The Plot Ratio Plan determines the development potential on each lot under the City of Perth's planning authority.Plot ratio is written as a ratio i.e. a site of 1000msq with a plot ratio of 6:1 can develop a maximum of 6000msq of floor space. Therefore the higher the plot ratio of a site the greater its development potential.Definition under Schedule 4 “Plot ratio means the ratio of the floor area of a building to the area of land within the boundaries of the lots on which that building is located;”Please see https://perth.wa.gov.au/develop/planning-framework/planning-schemes and https://perth.wa.gov.au/develop/planning-framework/planning-policies-and-precinct-plans for more information regarding the City of Perth Planning Schemes.