This web map service contains mapping data that will assist you to work through the vegetation management framework. It details areas of regulation, and outlines rules and values that must be considered when clearing native vegetation.It also includes mapping layers to assist with determining land suitability for high value agriculture.Due to the complex nature of some data layers, the service display scale ranges from 1:577792 to 1:1.

VegMachine is an online tool that uses satellite imagery to summarise decades of change in Australia’s landscape. It’s simple to operate, easy to understand, and free to use.

With VegMachine you can: view satellite image land cover products; measure land cover change and fire scars; generate comprehensive ground cover monitoring reports and better understand the links between management, climate and vegetation cover.

This web map service contains mapping data that will assist you to work through the vegetation management framework. It details areas of regulation, and outlines rules and values that must be …Show full descriptionThis web map service contains mapping data that will assist you to work through the vegetation management framework. It details areas of regulation, and outlines rules and values that must be considered when clearing native vegetation.It also includes mapping layers to assist with determining land suitability for high value agriculture.Due to the complex nature of some data layers, the service display scale ranges from 1:577792 to 1:1.

This layer is displayed on the Environmental significance - vegetation management overlay map in City Plan version 7 as 'Matters of state environmental significance'. This layer identifies areas of …Show full descriptionThis layer is displayed on the Environmental significance - vegetation management overlay map in City Plan version 7 as 'Matters of state environmental significance'. This layer identifies areas of endangered and of concern vegetation under the Vegetation Management Act 1999, and excludes disturbed and regrowth vegetation. The layer is also available in Council’s City Plan interactive mapping tool. For further information on City Plan, please visit http://www.goldcoast.qld.gov.au/planning-and-building/city-plan-2015-19859.html

This series contains ten spatial resource records used for the assessment of relevant activities under the Vegetation Management Act 1999.

Abstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. The pre-clearing mapping is …Show full descriptionAbstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. The pre-clearing mapping is based on aerial photography and field survey of vegetation communities. Regional ecosystem linework reproduced at a scale greater than 1:100,000, except in designated areas, should be used as a guide only. The positional accuracy of RE data, mapped at a scale of 1:100,000, is 100 metres. The map scale of 1:50,000 applies to the Wet Tropics and part of Southeastern Queensland and map amendments areas. Purpose Pre-clearing regional ecosystems mapping at a map scale of 1:100,000 and 1:50,000 in part, based on surveys of vegetation communities and related landform, soils and geology and on 1:80,000 B&W 1960's aerial photography. Version 8.0 regional ecosystem descriptions, as originally described in Sattler & Williams (ed.) (1999) are available for download on the Queensland government website (search on: Regional Ecosystem Description Database). The survey and mapping of regional ecosystems of Queensland provides information for regional groups, non-government organisations, government departments, local government and industry, for planning and management purposes. (Dataset for Queensland incomplete). Dataset History Lineage statement: Related polygon coverages include: pre-clearing vegetation communities and regional ecosystems, 1997, 1999, 2000, 2001, 2003, 2005, 2006, 2006b, 2007, , 2011 remnant regional ecosystems and, for areas where regional ecosystem coverages have not been completed, a separate polygon layer, remnant vegetation cover (e.g.: remcov11). Process step: The pre-clearing vegetation is simply the vegetation before clearing. Mapping of pre-clearing vegetation is based on the interpretation of landscape as depicted on aerial photos or satellite imagery (Landsat, Spot), and ground truthed on a limited sample of known points. The Queensland Herbarium uses the 1:80,000 black and white 1960's photos as the standard imagery for mapping pre-clearing vegetation. The structural classification system is based on Walker and Hopkins (1990). Where vegetation has already been cleared on these aerial photographs, the pre-clearing vegetation is reconstructed by the botanist using available information, including landform, soils, geology, field data (remnant roadside trees) and ecological knowledge. In addition, historical survey records of vegetation types and older aerial photos (if they exist) are used extensively in this reconstruction. The 2011 extent is based on the 2011 extent mapping that was derived from the standard state-wide coverage of dry season (around September) 2011. Technical processes: Vegetation boundaries are drawn on aerial photographs and manually digitised. Boundaries are referenced primarily to rectified Landsat imagery supplied by the State Land and Trees Study (SLATS, DSITIA) and to orthophotos if available. Field survey provided partial verification of boundaries. Pre-clearing vegetation is delineated using above resource material. Remnant vegetation boundaries derived by intersecting the 'vegetation cover' with the pre-clear coverage and altering attributes to reflect the remaining vegetation components of each polygon. The vegetation cover data is generated from Landsat imagery, using change detection data &/or Foliage Protection Cover (woody cover) from SLATS, DSITIA, as additional indicators of remnant, cleared or disturbed areas. Source: General Source Data: 1:80,000 B&W 1960's aerial photography, Landsat TM imagery rectified to 1:100,000 topographic maps, geology, soils and land systems data, topographic maps, field survey, existing field site data and existing mapped data (digital and hard-copy). Other reference data: National Estates (QLD), DCDB. Primary data source for the Wet Tropics bioregion 1:50,000 scale regional ecosystem mapping: * Vegetation of the Wet Tropics of Queensland bioregion. Wet Tropics Management Authority, Cairns, Stanton J.P. and Stanton, D.J. (2005). Additional Source Data for SEQ 1:50,000 scale mapping: 1:100,000 scale geological mapping NR&M (2002) and extensive field data for all revisions. * Ipswich, Mt Lindesay, Esk & Helidon sheets revised (2000-2001) using 1:25,000 colour aerial photography (1994-1997). * Gatton Shire revision using 1:25,000 colour aerial photography (1997) and Gatton Shire Remnant vegetation mapping, QPWS, Grimshaw (2001). * Crows Nest Shire revision using 1:25,000 colour aerial photography (2000). * Boonah Shire revision using 1:25,000 vegetation survey, Olsen (2001). * Laidley Shire revision using 1:25,000 colour aerial photography (1997) and 1:50,000 vegetation survey, Lockyer Landcare (1997). * Noosa Shire revision using 1:25,000 colour aerial photography (1997 & 2000) and Noosa Shire 1:25,000 vegetation survey, Burrows (2000). * Pine Rivers Shire revision using 1:25,000 colour aerial photography (1997), Pine Rivers Shire regional ecosystem database (2001) and the Brisbane Forest Park, 1:25,000 vegetation survey, Young (1996). * Logan City revision using 1:25,000 Logan City vegetation survey, Ecograph (2000). * Redland Shire revision using 1:25,000 Redland Shire vegetation survey, Olsen (2001). * Gold Coast City Council revision using 1:10,000 digital ortho-photography (2001) and QPWS Fire Management Strategy (2001). * Beaudesert Shire revision using 1:25,000 colour aerial photography (1997) and Beaudesert Shire vegetation survey, Chenoweth EPLA (2002) and QPWS Fire Management Strategy (2001). * Cooloola Shire revision using 1:40,000 colour aerial photography (1996) and Cooloola Shire vegetation survey, Lowe (2002). * Maroochy Shire revision using 1:25,000 colour aerial photography (1997) and Maroochy Shire vegetation survey, MSC (2002). * Caloundra City Council revision using 1:25,000 colour aerial photography (1997). Dataset Citation Queensland Herbarium, Department of Science, Information Technology, Innovation and the Arts (2013) Queensland Regional Ecosystems. Bioregional Assessment Source Dataset. Viewed 07 December 2018, http://data.bioregionalassessments.gov.au/dataset/d644de21-13f9-4689-acda-47fff61cfc1d.

The digital 3-dimenional (3D) mineral mapping suite of Queensland comprises ~20 “standardized” products at the spectral resolution of the ASTER (Advanced Space-borne Thermal Emission and Reflection Radiometer) sensor and generated from publicly-available satellite, airborne, field and drill core spectral data spanning the visible near infrared (VNIR; 0.4 to 1.0 µm), shortwave infrared (SWIR; 1.0 to 2.5 µm) and thermal infrared (TIR; 7.5 to 12.0 µm) wavelength regions, including: 1. Satellite ASTER maps at both 30 m and 90 m pixel resolution with complete coverage of the state of Queensland, i.e. 1.853 million km²; 2. Airborne HyMap maps at ~5 m pixel resolution with a coverage of ~25,000 km2 from areas across north Queensland; 3. Field point samples (~300) from the National Geochemical Survey of Australia (NGSA) collected from a depth of 0-10 cm of flood overbank sediments; 4. Drill-core profiles (~20) of the National Virtual Core Library (NVCL) selected from the area around the Georgetown seismic line (07GA-IG2). Key to the processing of the remote sensing data-sets (ASTER and HyMap) was the implementation of unmixing methods to remove the effects dry and green vegetation. This unmixing was not applied to the Australian ASTER geoscience maps released in 2012 (called here Version 1 or V1) resulting in extensive areas with little/no mineral information because of the need to apply masks. The vegetation unmixing methods used in the Version 2 (V2) processing of the ASTER and HyMap imagery has resulted in very few areas without coherent mineral information.
The resultant V2 “mineral group” products were designed to measure mineral information potentially useful for mapping: (i) primary rock composition; (ii) superimposed alteration effects; and (iii) regolith cover. These V2 products may assist in mapping soil properties and groundwater conditions. However their relatively low spectral resolution (based on ASTER’s 14 VNIR-SWIR-TIR bands) means that they do not provide the high level of mineralogical detail available from hyperspectral systems (>100 spectral bands), like HyMap and the HyLogger. Nevertheless, the relatively low spectral resolution of ASTER means that all other sensor data can be spectrally resampled to that resolution. Furthermore, the ASTER global data archive, which now spans entire Earth’s land surface <80degrees latitude, means that it can be used as global base-map for integrating all other spectral data.

Lineage: The raw ASTER data used in this project are freely available from the United States Geological Survey (USGS) Land Processes Distributed Active Archive Centre (LPDAAC) (https://lpdaac.usgs.gov/dataset_discovery/aster/aster_products_table/ast_l1t) as well as NASA’s REVERB (http://reverb.echo.nasa.gov) and Japan’s Advanced Institute for Science Technology (AIST) https://gbank.gsj.jp/madas/map.
The Australian ASTER Geoscience (V1) Maps can be downloaded from CSIRO’s Data Access Portal (DAP) (https://data.csiro.au/dap/landingpage?pid=csiro%3A6182) and Geoscience Australia’s Australian Geoscience Information Network, Geoscience Australia (AUSGIN) (http://portal.geoscience.gov.au/gmap.html). The NVCL data can be downloaded from http://www.auscope.org.au/nvcl or http://portal.geoscience.gov.au/gmap.html.
The National Geochemical Survey of Australia (NGSA) spectral data is accessible via CSIRO’s Data Access Portal http://www.ga.gov.au/about/projects/minerals-archive/concluded/national-geochemical-survey.

Data Download: Australia - Present Major Vegetation Subgroups - NVIS Version 6.0 (Albers 100m analysis product)This raster dataset NVIS6_0_AUST_EXT_MVS_ALB (or aus6_0e_mvs in GRID format) provides the latest summary information on Australia's present (extant) native vegetation, which has been classified into Major Vegetation Subgroups. It is in Albers Equal Area projection with a 100 m x 100 m (1 Ha) cell size.A comparable Pre-1750 (pre-European, pre-clearing) raster dataset is also available:- NVIS6_0_AUST_PRE_MVS_ALB (or aus6_0p_mvs in GRID format).For this update, Version 6.0, the extant datasets for Queensland, Australian Capital Territory, South Australia and Western Australia have been updated. An automated, data-driven procedure, followed by thorough manual checks, was undertaken to make any necessary updates to MVG/MVS assignments for WA, VIC, NT, SA and NSW, with any changes being verified by the corresponding state/territory contacts. For Version 5.1, the extant dataset for Tasmania was updated, and gapfilling work was completed for the NSW extant dataset. Some of the rulesets underpinning the assignment of MVGs and MVSs were also updated to improve consistency for their allocation. Version 5.0 substantially standardised the lookup tables (NVIS5_0_LUT_DETAIL and NVIS5_0_LUT_AUST_FLAT). Previously, Version 4.2 updated NSW. For version 4.1 most agencies supplied data to the update. For more detail refer to the associate lookup tables.Summaries were derived from the best available data in the NVIS extant theme. This product is derived from a compilation of data collected at different scales on different dates by different organisations. Please refer to the separate Key Dataset map showing scales of the input datasets 'NVIS6_0_KEY_DSET_xxx'.Gaps in the NVIS database were filled by non-NVIS data, notably parts of South Australia and small areas of New South Wales such as the Curlewis area. The data represent on-ground dates of up to 2006 in Queensland, 2001 to 2005 in South Australia (depending on the region) and 2004/5 in other jurisdictions, except NSW. NVIS data was partially updated in NSW with 2001-09 data, with extensive areas of 1997 data remaining from the earlier version of NVIS.Eighty-five (85) Major Vegetation Subgroups were identified for v6.0 to summarise the type and distribution of Australia's native vegetation. The classification contains an emphasis on the structural and floristic composition of the dominant stratum (as with Major Vegetation Groups), but with additional types identified according to typical shrub or ground layers occurring with a dominant tree or shrub stratum.In a mapping sense, the subgroups reflect the dominant vegetation occurring in a map unit from a mix of several vegetation types. Less-dominant vegetation groups which are also present in the map unit are not shown. For example, the dominant vegetation in an area may be mapped as dominated by eucalypt open forest with a shrubby understorey, although it contains pockets of rainforest, shrubland and grassland vegetation as subdominants.A number of other non-vegetation and non-native vegetation land cover types are also represented as Major Vegetation Subgroups. These are provided for cartographic purposes, but should not be used for analyses.The (related) Major Vegetation Groups represent the dominant vegetation groups in the dominant stratum and are available as separate raster datasets:- NVIS6_0_AUST_EXT_MVG_ALB- NVIS6_0_AUST_PRE_MVG_ALBFor further background and other NVIS products, please see the links at:https://www.dcceew.gov.au/environment/land/native-vegetation/national-vegetation-information-system

Abstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. The pre-clearing mapping is …Show full descriptionAbstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. The pre-clearing mapping is based on aerial photography and field survey of vegetation communities. Regional ecosystem linework reproduced at a scale greater than 1:100,000, except in designated areas, should be used as a guide only. The positional accuracy of RE data, mapped at a scale of 1:100,000, is 100 metres. The map scale of 1:50,000 applies to the Wet Tropics and part of Southeastern Queensland and map amendments areas. Purpose Pre-clearing regional ecosystems mapping at a map scale of 1:100,000 and 1:50,000 in part, based on surveys of vegetation communities and related landform, soils and geology and on 1:80,000 B&W 1960's aerial photography. Version 8.0 regional ecosystem descriptions, as originally described in Sattler & Williams (ed.) (1999) are available for download on the Queensland government website (search on: Regional Ecosystem Description Database). The survey and mapping of regional ecosystems of Queensland provides information for regional groups, non-government organisations, government departments, local government and industry, for planning and management purposes. (Dataset for Queensland incomplete). Dataset History Lineage statement: Related polygon coverages include: pre-clearing vegetation communities and regional ecosystems, 1997, 1999, 2000, 2001, 2003, 2005, 2006, 2006b, 2007, , 2011 remnant regional ecosystems and, for areas where regional ecosystem coverages have not been completed, a separate polygon layer, remnant vegetation cover (e.g.: remcov11). Process step: The pre-clearing vegetation is simply the vegetation before clearing. Mapping of pre-clearing vegetation is based on the interpretation of landscape as depicted on aerial photos or satellite imagery (Landsat, Spot), and ground truthed on a limited sample of known points. The Queensland Herbarium uses the 1:80,000 black and white 1960's photos as the standard imagery for mapping pre-clearing vegetation. The structural classification system is based on Walker and Hopkins (1990). Where vegetation has already been cleared on these aerial photographs, the pre-clearing vegetation is reconstructed by the botanist using available information, including landform, soils, geology, field data (remnant roadside trees) and ecological knowledge. In addition, historical survey records of vegetation types and older aerial photos (if they exist) are used extensively in this reconstruction. The 2011 extent is based on the 2011 extent mapping that was derived from the standard state-wide coverage of dry season (around September) 2011. Technical processes: Vegetation boundaries are drawn on aerial photographs and manually digitised. Boundaries are referenced primarily to rectified Landsat imagery supplied by the State Land and Trees Study (SLATS, DSITIA) and to orthophotos if available. Field survey provided partial verification of boundaries. Pre-clearing vegetation is delineated using above resource material. Remnant vegetation boundaries derived by intersecting the 'vegetation cover' with the pre-clear coverage and altering attributes to reflect the remaining vegetation components of each polygon. The vegetation cover data is generated from Landsat imagery, using change detection data &/or Foliage Protection Cover (woody cover) from SLATS, DSITIA, as additional indicators of remnant, cleared or disturbed areas. Source: General Source Data: 1:80,000 B&W 1960's aerial photography, Landsat TM imagery rectified to 1:100,000 topographic maps, geology, soils and land systems data, topographic maps, field survey, existing field site data and existing mapped data (digital and hard-copy). Other reference data: National Estates (QLD), DCDB. Primary data source for the Wet Tropics bioregion 1:50,000 scale regional ecosystem mapping: * Vegetation of the Wet Tropics of Queensland bioregion. Wet Tropics Management Authority, Cairns, Stanton J.P. and Stanton, D.J. (2005). Additional Source Data for SEQ 1:50,000 scale mapping: 1:100,000 scale geological mapping NR&M (2002) and extensive field data for all revisions. * Ipswich, Mt Lindesay, Esk & Helidon sheets revised (2000-2001) using 1:25,000 colour aerial photography (1994-1997). * Gatton Shire revision using 1:25,000 colour aerial photography (1997) and Gatton Shire Remnant vegetation mapping, QPWS, Grimshaw (2001). * Crows Nest Shire revision using 1:25,000 colour aerial photography (2000). * Boonah Shire revision using 1:25,000 vegetation survey, Olsen (2001). * Laidley Shire revision using 1:25,000 colour aerial photography (1997) and 1:50,000 vegetation survey, Lockyer Landcare (1997). * Noosa Shire revision using 1:25,000 colour aerial photography (1997 & 2000) and Noosa Shire 1:25,000 vegetation survey, Burrows (2000). * Pine Rivers Shire revision using 1:25,000 colour aerial photography (1997), Pine Rivers Shire regional ecosystem database (2001) and the Brisbane Forest Park, 1:25,000 vegetation survey, Young (1996). * Logan City revision using 1:25,000 Logan City vegetation survey, Ecograph (2000). * Redland Shire revision using 1:25,000 Redland Shire vegetation survey, Olsen (2001). * Gold Coast City Council revision using 1:10,000 digital ortho-photography (2001) and QPWS Fire Management Strategy (2001). * Beaudesert Shire revision using 1:25,000 colour aerial photography (1997) and Beaudesert Shire vegetation survey, Chenoweth EPLA (2002) and QPWS Fire Management Strategy (2001). * Cooloola Shire revision using 1:40,000 colour aerial photography (1996) and Cooloola Shire vegetation survey, Lowe (2002). * Maroochy Shire revision using 1:25,000 colour aerial photography (1997) and Maroochy Shire vegetation survey, MSC (2002). * Caloundra City Council revision using 1:25,000 colour aerial photography (1997). Dataset Citation "Queensland Herbarium, Department of Science, Information Technology, Innovation and the Arts" (2013) Biodiversity status of pre-clearing and remnant regional ecosystems - South East Qld. Bioregional Assessment Source Dataset. Viewed 12 December 2018, http://data.bioregionalassessments.gov.au/dataset/9b7bcebf-8b7f-4fb4-bc91-d39f1bd960cb.

This raster dataset NVIS6_0_AUST_PRE_MVG_ALB (or aus6_0p_mvg in GRID format) provides the latest summary information on Australia's Pre-1750 (pre-European, pre-clearing) native vegetation, which has been classified into Major Vegetation Groups (MVG). It is in Albers Equal Area projection with a 100 m x 100 m (1 Ha) cell size.Download: - Australia - Pre-1750 Major Vegetation Groups - NVIS Version 6.0 (Albers 100m analysis product) - Grid Download - Overview (arcgis.com) A comparable present (extant) raster dataset is available:- NVIS6_0_AUST_EXT_MVG_ALB (or aus6_0e_mvg in GRID format).For this update, Version 6.0, the extant datasets for Queensland, Australian Capital Territory, South Australia and Western Australia have been updated. An automated, data-driven procedure, followed by thorough manual checks, was undertaken to make any necessary updates to MVG/MVS assignments for WA, VIC, NT, SA and NSW, with any changes being verified by the corresponding state/territory contacts. For Version 5.1 the extant dataset for Tasmania was updated, with gapfilling work being completed for the NSW extant dataset. Some of the rulesets underpinning the assignment of MVGs and MVSs were also updated to improve consistency for their allocation. Version 5.0 substantially standardised the lookup tables (NVIS5_0_LUT_DETAILxxxx and NVIS5_0_LUT_AUST_FLATxxxx). Previously, Version 4.2 updated NSW. For version 4.1 most agencies supplied data to the update. For more detail refer to the associate lookup tables.Summaries were derived from the best available data in the NVIS pre-1750 theme. This product is derived from a compilation of data collected at different scales on different dates by different organisations. Please refer to the separate Key Dataset map showing scales of the input datasets 'NVIS6_0_KEY_DSET_xxx'.Gaps in the NVIS database were filled by non-NVIS data, notably parts of South Australia and small areas of New South Wales such as the Curlewis area. The data represent on-ground dates of up to 2006 in Queensland, 2001 to 2005 in South Australia (depending on the region) and 2004/5 in other jurisdictions, except NSW. NVIS data was partially updated in NSW with 2001-09 data, with extensive areas of 1997 data remaining from the earlier version of NVIS.Major Vegetation Groups were identified to summarise the type and distribution of Australia's native vegetation. The classification contains different mixes of plant species within the canopy, shrub or ground layers, but are structurally similar and are often dominated by a single genus. In a mapping sense, the groups reflect the dominant vegetation occurring in a map unit where there are a mix of several vegetation types. Subdominant vegetation groups which may also be present in the map unit are not shown. For example, the dominant vegetation in an area may be mapped as dominated by eucalypt open forest, although it contains pockets of rainforest, shrubland and grassland vegetation as subdominants.A number of other non-vegetation and non-native vegetation land cover types are also represented as Major Vegetation Groups. These are provided for cartographic purposes, but should not be used for analyses.The (related) Major Vegetation Subgroups represent the dominant vegetation groups in the dominant stratum, along with the dominant shrub or ground layer,and are available as separate raster datasets:- NVIS6_0_AUST_EXT_MVS_ALB- NVIS6_0_AUST_PRE_MVS_ALBFor further background and other NVIS products, please see the links at:https://www.dcceew.gov.au/environment/land/native-vegetation/national-vegetation-information-system

Vegetation mapping at a map scale of 1:1,000,000 based on a generalised compilation of the lines and legends of a number of vegetation maps including the Kimberley region, Northern Territory, Cape York Peninsula, Einasleigh Uplands, Desert Uplands, Brigalow Belt North and Central Western Queensland.

Version 6.1 pre-clearing and 2021 remnant Broad Vegetation Groups of Queensland (BVG), derived from the regional ecosystem mapping. The 1:1 million BVG is added by lookup table derived from the Regional Ecosystem Description Database (REDD). The dominant BVG 1:1 million (DBVG_1M) is determined by percentages of each BVG.

This dataset contains polygons depicting vegetation communities of the Wet Tropics Bioregion. Over 250 vegetation types are described using structural and floristic characteristics, and the vegetation communities have been classified using a logical, hierarchical framework.

At a broad level, the vegetation includes the rainforests, forests and woodlands, sclerophyll rainforests, shrublands and heathlands, herblands and mangrove communities distributed throughout the bioregion.

The dataset is derived from 1:25 000 stereo aerial photography. J.P. Stanton and D.J. Stanton delineated vegetation and geology types by manually interpreting and drawing polygons directly onto the aerial photography.

The vegetation of the Wet Tropics Bioregion GIS dataset is also available to or those with ArcGIS capacity. Contact wettropics@wtma.qld.gov.au for more information.

Attributes The vegetation has been classified into 5 levels, each of increasing level of detail. The following is the list of unique values for the first three levels. For the complete list of all 5 levels please refer to the 'Vegetation Levels 1 to 5 classification list' document.

Level_1: * Vegetated, * Unvegetated

Level_2: * Sclerophyll forests and woodlands, * Cleared, unvegetated or non-native * Rainforests * Mangroves * Non-woody vegetation * Shrublands and heathlands * Vegetation complexes and mosaics * Sclerophyll and sclerophyll rainforest transitions

Level_3: * Eucalyptus forests and woodlands * Melaleuca forests and woodlands * Water bodies * Mesophyll rainforests * Mangrove forests * Mangrove grasslands and herblands * Rural, agricultural or urban areas * Grasslands * Shrublands and heathlands * Coastal beach complexes * Riparian complexes * Naturally unvegetated * Closed Acacia forests * Closed Eucalyptus forests * Acacia forests and woodlands * Microphyll thickets * Notophyll rainforests * Secondary successional complexes * Casuarina forests and woodlands * Sedgelands * Rock pavement and coastal headland complexes * Lophostemon forests and woodlands * Fern complexes * Microphyll rainforests * Palm-leaf rainforests * Wetland complexes * Syncarpia forests and woodlands * Notophyll thickets * Closed Lophostemon forests

Positional accuracy The positional accuracy of the mapped vegetation polygons is ±12 metres from the true position as depicted on the Australian 1:50 000 Topographic Survey Map Series R733. Horizontal accuracy is estimated at 90% of well-defined detail within ±50 metres of true position.

Attribute accuracy Attribute accuracy is estimated at 95%.

Citation Wet Tropics Management Authority (2009). Vegetation Mapping of the Wet Tropics Bioregion of Queensland. Wet Tropics Management Authority, Cairns.

Acknowledgements The expert assistance and advice of James Cook University and the Queensland Herbarium is gratefully acknowledged.

/Base data/Data reproduced with permission of Wet Tropics Management Authority/

This metadata was prepared for the eAtlas and is not authoritative. Please contact the Wet Tropics Management Authority for an authoritative record.

Study locations across Queensland have been visited since 1982 to collect data on physical and vegetation features, including structural and floristic attributes well as descriptions of its landscape, soil and geologic features. The resulting site survey database provides a comprehensive record of areas ground-truthed during the regional ecosystems mapping process and a basis for future updating of mapping or other relevant work such as species modelling. The QBEIS study locations are primarily used for ground-truthing and validating of Regional Ecosystems (RE) mapping, and describing and classifying vegetation mapping units. Only validated QBEIS data is made publicly available and all records of confidential taxa have been masked from the dataset.

Regional Ecosystems (Pre-Clearing) in the Brisbane City Council area.Regional ecosystems (RE's) are vegetation communities in a bioregion that are consistently associated with a particular combination of geology, landform and soil (Sattler and Williams 1999, Vegetation Management Act 1999).Pre-clearing identifies the original extent of vegetation communities before anthropogenic clearing occurred. The pre-clearing map classifies vegetation communities into regional ecosystems as per the regional ecosystems descriptions database (REDD), using the Methodology for Survey and Mapping of Regional Ecosystems and Vegetation Communities in Queensland. Version 3.2.This dataset was derived from the Queensland Herbarium dataset Regional Ecosystems 2015.

Brisbane City Council’s Natural Assets Local Law 2003 helps protect our city’s natural assets, including bushland areas, wetlands, waterway corridors and trees. The Significant Native Vegetation (SNV) category protects all native vegetation on properties identified in Council’s significant native vegetation mapping layer. The law is in place to protect the city’s natural vegetation and delivers a balance between protecting the city’s environment and people, property and lifestyle.This mapping does not include all protected vegetation, it only includes the Significant Native Vegetation category as mapped under the Natural Assets Local Law 2003. Vegetation that has been recently protected (last 6 weeks), vegetation protected by a condition of a development approval, heritage protected vegetation or vegetation protected by a covenant on title is not included in this mapping.To find out if your property has protected vegetation, including vegetation protected by the Natural Assets Local Law 2003, you can use the Protected Vegetation Online Enquiry Tool to obtain a property report. Further information about Protected Vegetation and the Natural Assets Local Law 2003, including how to apply for a permit, can be found by visiting the Brisbane City Council website and searching 'protected vegetation' or by phoning Council’s Contact Centre on (07) 3403 8888.

Vegetation management regional ecosystems description database (VM REDD) contains:

• vegetation management classes (endangered, of concern, least concern)
• regulated grasslands (woody grassland structure category) and unregulated grasslands (grassland structure category)
• structure categories and other regional ecosystem information for use under the vegetation management framework.

Read more on vegetation management regional ecosystem descriptions.

Version 13.1 - Delineation of remnant/non-remnant vegetation, cleared areas and other features for Queensland. Based on the 2021 remnant regional ecosystem mapping.

Abstract This data and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. The Queensland Floodplain …Show full descriptionAbstract This data and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. The Queensland Floodplain Assessment Overlay (QFAO) represents a floodplain area within drainage sub-basins in Queensland. It has been developed for use by local governments as a potential flood hazard area. It represents an estimate of areas potentially at threat of inundation by flooding. The data has been developed through a process of drainage sub-basin analysis utilising data sources including 10 metre contours, historical flood records, vegetation and soils mapping and satellite imagery. This data represents an initial assessment and will be subject to refinement by respective Local Government Authorities. Dataset History Lineage statement: The Queensland Floodplain Assessment Overlay has been captured by analysis and visual interpretation of a combination of datasets (listed below in Sources). Process step: Identify and overview sub-basin with satellite imagery backdrop.2. Overlay ordered drainage and floodplain data.3. Analyse drainage lines within the basin to determine the drainage lines that are relevant. At a minimum drainage lines with order 1 and 2 are excluded unless known events have occurred.4. Having determined the approximate extent in terms of drainage line hierarchy, overlay the 10m contours, gauging stations and flood lines of actual events from 2011.5. Determine the approximate flood elevation at locations within the drainage basin using gauging station data and actual events, together with visual interpretation of the imagery and other layers.6. Delineate the extent of the floodplain by visually interpolating between known locations using the satellite imagery and contours as the guide.Flood extent line revised over the town of Mareeba in the Barron River Basin sub area on 17-10-2013. Source: 10m contours derived from 1 second SRTM (Shuttle Radar Topography), photogrammetry and LiDAR. In general, coverage of SRTM derived contours is west of the Great Dividing Range, Photogrammetrically derived contours coverage is over the Great Dividing Range and Cape York, LiDAR Contour coverage is the coastal fringe extending south of Cairns to the NSW border;2. Floodplain boundaries - derived by combination of Pre-clear Vegetation Mapping of Landzone 3 (Alluvium), Landzone 1 (Estuarine) and SALI Soil Flooding Limitation Mapping;3. Ordered Drainage (drainage lines);4. January 2011 Flood gauge readings and delineation of flooding events from aerial photography;5. 2009 SPOT satellite imagery;6. 2009 LandSAT satellite imagery. Dataset Citation Queensland Department of Natural Resources and Mines (2013) Queensland Floodplain Assessment Overlay - Queensland Reconstruction Authority (QRA). Bioregional Assessment Source Dataset. Viewed 06 May 2016, http://data.bioregionalassessments.gov.au/dataset/ea785644-eff9-4ee2-9f1a-8dca1dde7ee5.

This dataset is the most current national compilation of catchment scale land use data for Australia (CLUM), as at September 2017. It replaces the Catchment Scale Land Use of Australia - Update May 2016 released in June 2016. It is a seamless raster dataset that combines land use data for all state and territory jurisdictions, compiled at a resolution of 50 metres by 50 metres. It has been compiled from vector land use datasets collected as part of state and territory mapping programs through the Australian Collaborative Land Use and Management Program (ACLUMP). Catchment scale land use data was produced by combining land tenure and other types of land use information, fine-scale satellite data and information collected in the field. The date of mapping (2003 to 2017) and scale of mapping (1:5 000 to 1:250 000) vary, reflecting the source data, capture date and scale. This information is provided in a supporting polygon dataset.

The following areas have been updated since the May 2016 version: Desert Channels and Mackay-Whitsundays natural resource management (NRM) regions in Queensland; the Adelaide and Mount Lofty Ranges NRM region in South Australia (extending into part of the Murray-Darling Basin NRM region); the state of New South Wales; the state of Victoria; the state of Tasmania; the state of Western Australia; and the Northern Territory. The capital city of Adelaide was also updated using 2016 mesh block information from the Australian Bureau of Statistics. This equates to over 585 million hectares or 76% of Australia, the largest update of catchment scale land use mapping to date.

Users should update any references or links to previous CLUM datasets in their databases. Users should also note that it is not possible to calculate land use change statistics between annual CLUM national compilations as not all regions are updated each year; land use mapping methodologies, precision, accuracy and source data (in particular satellite imagery) have improved over the years; and the land use classification has changed over time. In particular, the major differences between this September 2017 version and the May 2016 version are:

• The September 2017 version has been mapped to version 8 of the Australian Land Use and Management (ALUM) Classification (released in October 2016)
• Improvements to the Western Australia mapping including improved mapping of native forests, conservation areas, topographic features, horticulture and intensive animal production
• Changes to the mapping of native and modified pastures in New South Wales
• Changes to the mapping of dairies in Tasmania so that only the dairy infrastructure is mapped as dairies and the dairy pastures are mapped as modified pastures.

It is only possible to calculate change when earlier land use datasets have been revised and corrected to ensure that changes detected are real change and not an artefact of the mapping process. The Queensland Land Use Mapping Program (QLUMP) have done this on an NRM regions basis for Queensland and can be accessed at:

• Data: Search the Queensland Spatial Catalogue (http://dds.information.qld.gov.au/dds/) for "Land Use Mapping"
• Reports: https://www.qld.gov.au/environment/land/vegetation/mapping/qlump-reports.

The CLUM data shows a single dominant land use for a given area, based on the primary management objective of the land manager (as identified by state and territory agencies). As a seamless spatial dataset for Australia, it can be used to identify, map and analyse high level land use categories (such as irrigated horticulture and dryland cropping) and more specific land use categories such as grapes, cotton, cereals, sugar and tree fruits. These categories can be extracted or combined with other spatial datasets to provide new insights and analysis concerning land use in Australia. A complementary dataset Catchment Scale Land Use of Australia - Commodities - September 2017 provides commodity level mapping as a vector dataset.

Land use is classified according to the Australian Land Use and Management (ALUM) Classification version 8, a three-tiered hierarchical structure. There are five primary classes, identified in order of increasing levels of intervention or potential impact on the natural landscape. Water is included separately as a sixth primary class. Primary and secondary levels relate to the principal land use. Tertiary classes may include additional information on commodity groups, specific commodities, land management practices or vegetation information. The primary, secondary and tertiary codes work together to provide increasing levels of detail about the land use. Land may be subject to a number of concurrent land uses. For example, while the main management objective of a multiple-use production forest may be timber production, it may also provide conservation, recreation, grazing and water catchment land uses. In these cases, production forestry is commonly identified in the ALUM code as the prime land use.

The operational scales of catchment scale mapping vary according to the intensity of land use activities and landscape context. Scales range from 1:5 000 and 1:25 000 for irrigated and peri-urban areas, to 1:100 000 for broadacre cropping regions and 1:250 000 for the semi-arid and arid pastoral zone. The date of mapping generally reflects the intensity of land use. The most current mapping occurs in intensive agricultural areas; older mapping generally occurs in the semi-arid and pastoral zones. The primary classes of land use in the ALUM Classification are:

1. Conservation and natural environments - land used primarily for conservation purposes, based on maintaining the essentially natural ecosystems present
2. Production from relatively natural environments - land used mainly for primary production with limited change to the native vegetation
3. Production from dryland agriculture and plantations - land used mainly for primary production based on dryland farming systems
4. Production from irrigated agriculture and plantations - land used mostly for primary production based on irrigated farming
5. Intensive uses - land subject to extensive modification, generally in association with closer residential settlement, commercial or industrial uses
6. Water - water features (water is regarded as an essential aspect of the classification, even though it is primarily a land cover type, not a land use)

The Catchment Scale Land Use of Australia - Update September 2017 is a product of the Australian Collaborative Land Use and Management Program (ACLUMP). ACLUMP, of which ABARES is a partner, promotes the development of consistent information on land use and land management practices. This consortium of Australian, state and territory government partners is critical to providing nationally consistent land use mapping at both catchment and national scale, underpinned by common technical standards including an agreed national land use classification. ACLUMP provides a national land use data directory and the maintenance of land use datasets on Australian and state government data repositories. More information on ACLUMP available at www.abares.gov.au/landuse