This dataset is a complete state-wide digital land use map of Queensland. The dataset is a product of the Queensland Land Use Mapping Program (QLUMP) and was produced by the Queensland Government. It presents the most current mapping of land use features for Queensland, including the land use mapping products from 1999, 2006 and 2009, in a single feature layer. This dataset was last updated July 2012. The dataset comprises an ESRI vector geodatabase at a nominal scale of 1:50,000 in coastal regions and 1:100 000 in Western Queensland. The layer is a polygon dataset with each class having attributes describing land use. Land use is classified according to the Australian Land Use and Management Classification (ALUMC) Version 7, May 2010. Five primary classes are identified in order of increasing levels of intervention or potential impact on the natural landscape. Water is included separately as a sixth primary class. Under the three-level hierarchical structure, the minimum attribution level for land use mapping in Queensland is secondary land use. Primary and secondary levels relate to land use (i.e. the principal use of the land in terms of the objectives of the land manager). The tertiary level includes data on commodities or vegetation, (e.g. crops such as cereals and oil seeds). Where required* and possible, attribution is performed to tertiary level. * QLUMP maps the land use classes of sugar and cotton to tertiary level. Each polygon has been attributed with "Year", denoting the time at which the mapping is current at. A map illustrating the currency of land use is available at www.derm.qld.gov.au/science/lump/background.html Some land uses that fall under the minimum mapping unit of 2 ha are not explicitly mapped but aggregated into the surrounding land use classess, for example cropping - sugar and grazing native vegetation, whereby tracks and farm infrastructure, road reserves and drainage lines are included.
Purpose
Indicates the most current primary use or management objective of the land for Queensland.
This is a copy of LANDUSE_CURRENT_X, with (1) multi-part polygons separated to individual polygons, and (2) coordinate system changed to GDA94.
Supplemental Information
Refer to the contact position for additional information regarding source data. Further information relating to land use mapping can be found at http://www.derm.qld.gov.au/science/lump and http://www.abares.gov.au/landuse/
Status
Progress
Complete
Maintenance and Update Frequency
Unknown
Keywords
Theme
Theme Keyword Thesaurus
ANZLIC
Theme Keyword
LAND Use
Theme Keyword
LAND Use Mapping
Theme Keyword
LAND Use Classification
Theme
Theme Keyword Thesaurus
ISO 19115 Topic Category
Theme Keyword
farming
Access Constraints
Unrestricted to all levels of government and community. Dataset is available to all government agencies, community groups and individuals. Dataset will be available to registered users via web delivery tools, for example, the Queensland Government Information Service (QGIS) http://dds.information.qld.gov.au/dds/
Delineation of land use polygons was based on visual interpretation of multi-temporal Landsat and SPOT5 imagery, high-res Ortho photography, scanned aerial photography as well as ancillary data sets containing land use information, field observations and personal communication with regional Queensland Government staff, LGA representatives, land owners and managers. Assignment of land use classes was based on ALUM Version 7 (May 2010). Several classes were highlighted as being particularly susceptible to confusion & misclassification and issues arose which increased uncertainty in others.
Livestock grazing occurs on a range of pasture types including native and exotic as well as mixtures of both. Identifying and separating these using imagery, aerial photography and field observation is difficult and unreliable. Areas of pasture which appeared to be harvested for fodder or grazed off were mapped as Cropping (3.3.0). This may contribute to an over-estimation of cropping in the region. Other areas mapped as grazing include road reserves, cleared and uncleared land adjacent to rivers and streams as well as land immediately adjacent to or between cropped paddocks. Other minimal use (1.3.0) and Residual native cover (1.3.3) may also be confused with this class. The appearance of these can be highly variable and classification may therefore not be consistent.
Guidelines for mapping the class 'Intensive animal husbandry' (5.2.0) have changed in ALUM Version 7 ( May 2011). Only the infrastructure associated with intensive animal production should be classified as 5.2.0 (e.g. dairy sheds, 5.2.1). The surrounding pastures should generally mapped as 'Grazing modified pastures' (3.2.0) or 'Grazing irrigated modified pastures' (4.2.0). However, this updated decision rule has not been applied to the mapping in the 2006 mapping of Condamine, South West or Border Rivers, nor the 1999 data.
Rural residential with Agriculture (5.4.2) areas are a source of possible error. Properties on the fringes of suburban settlements, hobby farms and subdivisions in isolated localities with comparatively small lot sizes were mapped to this class. The use of QVAS (valuation information) was useful, based on whether or not the land owner was classified as a primary producer. This class may be misclassified with Grazing native vegetation (2.1.0) and Other Minimal Use (1.3.0), especially on larger properties.
The distinction between dryland and irrigated cropping (3.3.0 and 4.3.0) was not always evident and it is likely there is some misclassification in these classes. Proximity to water sources (watercourse or dam) and local knowledge was used to confirm areas of irrigation as much as possible.
A combination of the SLATS water body dataset and the Queensland Herbarium's wetlands and regional ecosystem datasets provided the basis for mapping marsh/wetlands (6.5.0), lakes (6.1.0) and reservoir or dams (6.2.0) in the areas mapped to 2009. The ephemeral nature of many of these can lead to confusion insofar as they may be present in imagery of one date and either absent or of differing extent in imagery of subsequent or previous dates. For this reason, only wetlands, lakes and dams that were commonly or permanently inundated were included in the dataset. As a result, there is likely to be errors & omissions and some disagreement in the mapping of features such as farm dams, reservoirs, lakes, wetlands & other water features. Many water features whilst exceeding the minimum mappable area requirements, do not meet the criteria for linear or uniform features.
An accuracy assessment of the land use datasets is available within the metadata of each original land use mapping product.
Completeness Report
Completeness of coverage All spatial and attribute data are complete for the entire dataset.
Completeness of classification Land use features were captured from a range of source data. Mapping from satellite imagery was generally undertaken to the smallest discrete unit able to be visually interpreted using the visual cues of colour, texture and pattern (approximately one hectare). Land use information from ancillary datasets was captured at the scale of the source data. The resulting land use dataset therefore contains features at a range of scales and resolutions. To promote consistency in the way land use features are handled and represented, project guidelines specify minimum data resolution standards appropriate to various mapping scales. At a scale of 1:50,000 the surface area of the smallest mapped feature is two hectares and minimum width for linear features is 50 metres.
Land use classes were assigned according to the Australian Land Use and Management Classification Version 7, May 2010 (Australian Bureau of Agriculture and Resource Economics and Sciences, 2011).
Positional Accuracy
Horizontal Positional Accuracy
Horizontal Positional Accuracy Report
Land use polygons were captured using source datasets with a range of scales as well as on-screen hand digitising from Landsat TM and ETM+ imagery as well as aerial photography. The positional accuracy of source datasets was variable, ranging from approximately 25 metres for features derived from 1:50,000 scale datasets, to 50 metres for features derived from 1:100,000 scale datasets. Whilst aerial photography is more accurate than Landsat imagery in locating and mapping features, positional accuracy of land use datasets derived from these is limited to that of the imagery.
Hand digitising was undertaken to an error of approximately 0.25 to 0.4 mm (50 to 75 metres at nominal map scale). SLATS processed Landsat TM imagery has a maximum RMSE of 0.7 pixels (17.5 metres) and positional accuracy of two pixels (50 metres) or better. Where there were inconsistencies between polygon boundaries defined by source datasets (vector coverages) and imagery, they were adjusted to conform to the imagery as this was considered to have higher positional accuracy.
Polygons mapped in the field have a positional accuracy of 50 metres or better, limited primarily by the EPE of the GPS receiver (generally less than 10 metres) and accuracy with which their boundaries can be defined either on the ground (generally less than 10 metres) or on the imagery (generally less than 50 metres).
Land use polygons for the 2006 and 2009 mapping were derived from the 1999 dataset which utilised source datasets with a range of scales, as well as on-screen hand digitising from imagery. Hand digitising was undertaken to an error of approximately one millimetre (100 metres at map scale).
Lineage
details available on request
Entity and Attribute Information
details available on request
Distribution Information
Resource Description
Downloadable Data
Distribution Liability
While every care is taken to ensure the accuracy of this information, the Queensland Government makes no representations or warranties about its accuracy, reliability, completeness or suitability for any particular purpose and disclaims all responsibility and all liability (including without limitation, liability in negligence) for all expenses, losses, damages (including indirect or consequential damage) and costs which might be incured as a result of the information being inaccurate or incomplete in any way and for any reason.
FGDC Content Standards for Digital Geospatial Metadata
Metadata Standard Version
FGDC-STD-001-1998
Esri
Creation Date
2013-02-14
Creation Time
15:38:29
Modification Date
2012-10-16
Modification Time
08:16:36
Data Id Info
Id Citation
Title
LANDUSE_CURRENT_GDA
Resource purpose/summary
Indicates the most current primary use or management objective of the land for Queensland.
This is a copy of LANDUSE_CURRENT_X, with (1) multi-part polygons separated to individual polygons, and (2) coordinate system changed to GDA94.
Additional human language abstract/description
This dataset is a complete state-wide digital land use map of Queensland. The dataset is a product of the Queensland Land Use Mapping Program (QLUMP) and was produced by the Queensland Government. It presents the most current mapping of land use features for Queensland, including the land use mapping products from 1999, 2006 and 2009, in a single feature layer. This dataset was last updated July 2012. The dataset comprises an ESRI vector geodatabase at a nominal scale of 1:50,000 in coastal regions and 1:100 000 in Western Queensland. The layer is a polygon dataset with each class having attributes describing land use. Land use is classified according to the Australian Land Use and Management Classification (ALUMC) Version 7, May 2010. Five primary classes are identified in order of increasing levels of intervention or potential impact on the natural landscape. Water is included separately as a sixth primary class. Under the three-level hierarchical structure, the minimum attribution level for land use mapping in Queensland is secondary land use. Primary and secondary levels relate to land use (i.e. the principal use of the land in terms of the objectives of the land manager). The tertiary level includes data on commodities or vegetation, (e.g. crops such as cereals and oil seeds). Where required* and possible, attribution is performed to tertiary level. * QLUMP maps the land use classes of sugar and cotton to tertiary level. Each polygon has been attributed with "Year", denoting the time at which the mapping is current at. A map illustrating the currency of land use is available at www.derm.qld.gov.au/science/lump/background.html Some land uses that fall under the minimum mapping unit of 2 ha are not explicitly mapped but aggregated into the surrounding land use classess, for example cropping - sugar and grazing native vegetation, whereby tracks and farm infrastructure, road reserves and drainage lines are included.
Search Keys
Keyword
LAND Use
Keyword
LAND Use Mapping
Keyword
LAND Use Classification
Keyword
farming
Dist Info
Distributor
details available on request
This page should be cited as:
Department of Environment, Science and Innovation, Queensland (n.d.) Land use – spatial metadata, WetlandInfo website, accessed 18 March 2024. Available at: https://wetlandinfo.des.qld.gov.au/wetlands/facts-maps/get-mapping-help/metadata/land-use/
— Department of Environment, Science and Innovation