Property boundaries represent the extent of ownership of an address in line with NSW Valuer General for the purposes of address verification and rating. The spatial layer is derived from land parcel boundaries (cadastre) originally supplied by NSW Spatial Services who remain the source of cadastral information. See SIX maps This spatial layer has been significantly changed and maintained by City of Sydney Spatial Services. This layer is not survey accurate. Geoservice API disabled, but geojson and download permitted.

Access API

NSW Imagery Theme

Note: Export function is for the Mosaic Index only

Raster format in currently not delivered via the Spatial Collaboration Portal and this is view only service.
For all imagery supply enquires please contact us via the 'https://aus01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fspatialservices.createsend1.com%2Ft%2Ft-l-mhkddut-l-y%2F&data=04%7C01%7CKate.Wilkinson%40customerservice.nsw.gov.au%7Cfacc21fd20ad4d8bc46808d918f12734%7C1ef97a68e8ab44eda16db579fe2d7cd8%7C0%7C0%7C637568246339024087%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=lCsQT7upTxYnH3%2FwHLqpPWtfLT2%2BViKVsy%2FQijmUCEk%3D&reserved=0' rel='nofollow ugc'>Spatial Services Customer Hub

Please Note
WGS 84 service aligned to GDA94
This dataset has spatial reference [WGS 84 ≈ GDA94] which may result in misalignments when viewed in GDA2020 environments. A similar service with a ‘multiCRS’ suffix is available which can support GDA2020, GDA94 and WGS 84 ≈ GDA2020 environments.
In due course, and allowing time for user feedback and testing, it is intended that the original service name will adopt the new 'multiCRS' functionality.

URL: https://geoscience.data.qld.gov.au/dataset/cr055397

GSQ PUBLICATION 241, QUEENSLAND MINERAL INDEX AND GUIDE (WITH NUMEROUS DIAGRAMS AND TABLES, AND AN ATLAS OF THIRTY SIX MAPS)

Access API

NSW Imagery Web Service
Note: Export function is for the Mosaic Index only

Please Note
WGS 84 service aligned to GDA94
This dataset has spatial reference [WGS 84 ≈ GDA94] which may result in misalignments when viewed in GDA2020 environments. A similar service with a ‘multiCRS’ suffix is available which can support GDA2020, GDA94 and WGS 84 ≈ GDA2020 environments.

The NSW Imagery web map service provides spatial imagery covering the extent of NSW. It depicts current cached imagery map of NSW which includes the following data sets:

• LandSat 2014® satellite imagery
• Spatial Services standard coverage ADS sensor orthorectified imagery
• Spatial Services high resolution ADS sensor town imagery
• Spatial Services high resolution ADS sensor project imagery
• AAM 2012 Tweed orthorectified imagery
• AAM 2012 Sydney conurbation 10cm GSD orthorectified imagery
• Jacobs 2009 Upper Hunter AUSIMAGE® orthophoto imagery
• Jacobs 2004 Queanbeyan AUSIMAGE® orthophoto imagery
• Jacobs 2006 Yass AUSIMAGE® orthophoto imagery
• Jacobs 2002 Goulburn AUSIMAGE® orthophoto imagery
• Jacobs 2014 AUSIMAGE® orthophoto imagery
• Jacobs 2016 AUSIMAGE® orthophoto imagery
• Spookfish/Eagleview 2018 Imagery
• Six Cities Conurbation AAM Imagery 2020-2022
• Six Cities Conurbation Aerometrex Imagery 2021-2022

The NSW Imagery web service provides spatial imagery covering the extent of NSW progressively from scales larger than 1:150,000 higher resolution imagery overlays lower resolution imagery and most recent imagery overlays older imagery within each resolution.

This product has been produced to identify visible land cover features and terrain to support Spatial Services along with local and state government programs, including Emergency Services. This product is used on a whole of government basis as a visible record of the landscape at a given point in time.

This web service allows users to easily integrate the Imagery coverage for NSW into Open Geospatial Consortium (OGC) compliant spatial platforms and applications.

Imagery provides an analytical source and contextual background for decision making and supports multiple applications including:

• mapping
• emergency services
• sustainable human and land use development
• geosciences
• natural resource management

The NSW Imagery web service provides access to accurate, authoritative and timely aerial imagery of NSW.

This service ensures users are able to consume spatial imagery without the requirement of hosting the imagery files on their own servers. The Imagery cache is maintained by Spatial Services and is an output of Spatial Services’ imagery collection and maintenance program.

URL: https://geoscience.data.qld.gov.au/dataset/cr055465

GSQ PUBLICATION 310, COAL RESOURCES, ROSEWOOD-WALLOON COALFIELD NEW MOUNTAIN VIEW MINE AREA UNITED NO. 7 MINE AREA ROUGHRIGG NO. 5 MINE AREA WESTVALE NO. 7 MINE AREA (WITH SIX MAPS AND TWENTY FIGURES)

The 1:250 000 maps show the type and distribution of 51 regolith-landform units with unique dominant regolith-landform associations, and are a subset of the 205 mapping units on the six 1:100 000 maps. These units are distinct patterns of recurring landform elements with characteristic regolith associations. Geomorphic symbols indicate the location and type of geomorphic activity. The maps present a systematic analysis and interpretation of 1:89 000 scale 1973 RC9 aerial photography, 1:100 000 scale topographic maps (AUSLIG), and field mapping data. High resolution (250m line spacing) airborne gamma-ray spectrometry and magnetics (Geoterrex) were used where applicable

Temperate Highland Peat Swamps on Sandstone (THPSS) vegetation maps. THPSS is a Threatened Ecological Community (TEC). Using a 25 m Digital Elevation Modal (DEM) coupled with orthorectified aerial photography, the THPSS of the Sydney Basin were mapped in ArcGIS. Only valley-bottom swamps were mapped. Hanging swamps or hillslope drapes were excluded. In ArcGIS, the physical attributes of the swamps were attributed and measured. This included swamp area, elevation above sea level, swamp slope, catchment area, swamp and catchment elongation ratio, swamp length and distance to coast. Further information on the enforceable undertaking and the terms of the THPSS Research Program can be found at www.environment.gov.au/news/2011/10/21/centennial-coal-fund-145-million-research-program. Attribution to: Macquarie University, K Fryirs & G Hose 2016, THPSS mapping layer. 6 maps showing the spatial distribution of THPSS were produced for the following areas: Blue Mountains - VIS_ID 4480 Budderoo - VIS_ID 4481 Gosford - VIS_ID 4482 Newnes - VIS_ID 4483 Woronora - VIS_ID 4484 Penrose - VIS_ID 4485

Impervious surfaces were derived from two existing mapping products, producing six classes of impervious area: Buildings, Roads, Railways, Roads and Railways, Airports and Aerodromes, Stormwater Infrastructure. Impervious Surfaces associated with buildings were derived from the Geoscape® Buildings Theme, which provides polygon representations of every building in Australia with a roof area equal to or greater than 9m2. Building polygons from the Greater Sydney Region were extracted and used to create the ‘Buildings’ feature. Impervious Surfaces not associated with buildings were derived from the NSW Land Use Map 2017 (inclusive of the draft Land Use Mapping for the Sydney Metropolitan Region), which provides land use mapping for NSW at a 1:10,000 reliability scale, based on the Australian Land Use and Management Classification Code. This layer was used to generate the Roads, Railways, Roads and Railways (polygons reclassified during QC) Airports and Aerodromes, and Stormwater Infrastructure features. Once both sets of features had been generated, they were intersected with LGA to aid in computation and provide additional map utility. Following this, any overlap between the Buildings features and the Land Use features was corrected using the Erase Function, before the layers were combined using the union function, and dissolved by LGA and feature class to provide LGA-level breakdowns of the prevalence and providence of impervious areas.

These maps and charts were produced by Government departments and other sources.


(SR Map Nos.52571-76). 6 maps.

Note:
This description is extracted from Concise Guide to the State Archives of New South Wales, 3rd Edition 2000.

The 1:250 000 maps show the type and distribution of 51 regolith-landform units with unique dominant regolith-landform associations, and are a subset of the 205 mapping units on the six 1:100 000 maps. These units are distinct patterns of recurring landform elements with characteristic regolith associations. Geomorphic symbols indicate the location and type of geomorphic activity. The maps present a systematic analysis and interpretation of 1:89 000 scale 1973 RC9 aerial photography, 1:100 000 scale topographic maps (AUSLIG), and field mapping data. High resolution (250m line spacing) airborne gamma-ray spectrometry and magnetics (Geoterrex) were used where applicable

This dataset is a series of digital map-posters accompanying the AdaptNRM Guide: Implications of Climate Change for Biodiversity: a community-level modelling approach.

These represent supporting materials and information about the community-level biodiversity models applied to climate change. Map posters are organised by four biological groups (vascular plants, mammals, reptiles and amphibians), two climate change scenario (1990-2050 MIROC5 and CanESM2 for RCP8.5), and six measures of change in biodiversity.

The map-posters present the nationally consistent data at locally relevant resolutions in eight parts – representing broad groupings of NRM regions based on the cluster boundaries for the NRM fund (http://www.climatechange.gov.au/reducing-carbon/land-sector-measures/nrm-fund/stream-2) and also Nationally.

Map-posters are provided in PNG image format at moderate resolution (300dpi) to suit A0 printing as well as in PDF format to suit initial printing. The posters were designed to meet A0 print size and digital viewing resolution. An additional set in PDF image format has been created for ease of download for initial exploration and printing on A3 paper. Some text elements and map features may be fuzzy at this lower resolution.

Each map-poster contains four dataset images coloured using standard legends encompassing the potential range in ecological similarity (from 0 to 1), even if that range is not represented in the dataset itself or across the map extent.

Each map series is provided in two parts: part 1 shows the two climate scenarios for vascular plants and mammals and part 2 shows reptiles and amphibians. Eight cluster maps for each series have a different colour theme and map extent. A national series is also provided. Annotation briefly outlines the topics presented in the Guide so that each poster stands alone for quick reference.

Example citation: Williams KJ, Raisbeck-Brown N, Harwood T, Prober S (2014) Novel ecological environments for vascular plants and mammals (1990-2050), A0 map-poster 3.1 - East Coast NRM regions. CSIRO Land and Water Flagship, Canberra. Available online at www.AdaptNRM.org and https://data.csiro.au/dap/.

This dataset has been delivered incrementally. All maps are now available, some that were previously available may have been updated. Please check that you are accessing the latest version of the dataset. Lineage: The map posters show case the scientific data. The data layers have been developed at approximately 250m resolution (9 second) across the Australian continent to incorporate the interaction between climate and topography, and are best viewed using a geographic information system (GIS). Each data layers is 1Gb, and inaccessible to non-GIS users. The map posters provide easy access to the scientific data, enabling the outputs to be viewed at high resolution with geographical context information provided.

Maps were generated using layout and drawing tools in ArcGIS 10.2.2

A check list of map posters and datasets is provided with the collection.

Map Series: 1.1 Potential degree of ecological change for vascular plants and mammals (1990-2050) 1.2 Potential degree of ecological change for reptiles and amphibians (1990-2050) 2.1 Disappearing ecological environments for vascular plants and mammals (1990-2050) 2.2 Disappearing ecological environments for reptiles and amphibians (1990-2050) 3.1 Novel ecological environments for vascular plants and mammals (1990-2050) 3.2 Novel ecological environments for reptiles and amphibians (1990-2050) 4.1 Change in effective area of similar ecological environments (intact) for vascular plants and mammals (1990-2050) 4.2 Change in effective area of similar ecological environments (intact) for reptiles and amphibians (1990-2050) 5.1 Change in effective area of similar ecological environments (cleared) for vascular plants and mammals (1990-2050) 5.2 Change in effective area of similar ecological environments (cleared) for reptiles and amphibians (1990-2050) 6.1 Composite ecological change for vascular plants and mammals (1990-2050) 6.2 Composite ecological change for reptiles and amphibians (1990-2050)

URL: https://geoscience.data.qld.gov.au/dataset/mr009089 The IPSWICH COALFIELD MAP 2 SHEET 6 Geology map was published in 1923 at 20 Chains to an Inch as part of the GSQ PUBLICATION series to administer permit and permit related spatial information. The map was maintained internally as a provisional office chart and is located within the Ipswich (9442) 1:100 000 map area. The map product is available to all government agencies, industry and the public for reference. Title and Image reference number is IPSWICH COALFIELD MAP 2 SHEET 6_7333. GSQ Publication No 271, Map No 2, Sheet 6,

The 1:250 000 maps show the type and distribution of 51 regolith-landform units
with unique dominant regolith-landform associations, and are a subset of the 205
mapping units on the six 1:100 000 maps. These units are distinct patterns of
recurring landform elements with characteristic regolith associations.
Geomorphic symbols indicate the location and type of geomorphic activity.
The maps present a systematic analysis and interpretation of 1:89 000 scale 1973
RC9 aerial photography, 1:100 000 scale topographic maps (AUSLIG), and field
mapping data.
High resolution (250m line spacing) airborne gamma-ray spectrometry and magnetics
(Geoterrex) were used where applicable

The 1:250 000 maps show the type and distribution of 51 regolith-landform units with unique dominant regolith-landform associations, and are a subset of the 205 mapping units on the six 1:100 000 maps. These units are distinct patterns of recurring landform elements with characteristic regolith associations. Geomorphic symbols indicate the location and type of geomorphic activity. The maps present a systematic analysis and interpretation of 1:89 000 scale 1973 RC9 aerial photography, 1:100 000 scale topographic maps (AUSLIG), and field mapping data. High resolution (250m line spacing) airborne gamma-ray spectrometry and magnetics (Geoterrex) were used where applicable

This is Version 1 of the Australian Soil Silt product of the Soil and Landscape Grid of Australia.

The Soil and Landscape Grid of Australia has produced a range of digital soil attribute products. Each product contains six digital soil attribute maps, and their upper and lower confidence limits, representing the soil attribute at six depths: 0-5cm, 5-15cm, 15-30cm, 30-60cm, 60-100cm and 100-200cm. These depths are consistent with the specifications of the GlobalSoilMap.net project (http://www.globalsoilmap.net/). The digital soil attribute maps are in raster format at a resolution of 3 arc sec (~90 x 90 m pixels).

These maps are generated by combining the best available Digital Soil Mapping (DSM) products available across Australia.

Attribute Definition: 2-200 μm mass fraction of the less than 2 mm soil material determined using the pipette method; Units: %; Period (temporal coverage; approximately): 1950-2013; Spatial resolution: 3 arc seconds (approx 90m); Total number of gridded maps for this attribute: 18; Number of pixels with coverage per layer: 2007M (49200 * 40800); Total size before compression: about 8GB; Total size after compression: about 4GB; Data license : Creative Commons Attribution 4.0 (CC BY); Target data standard: GlobalSoilMap specifications; Format: GeoTIFF.

Lineage: The National Soil Attribute Maps are generated by combining the best available digital soil mapping to calculate a variance weighted mean for each pixel. Two DSM methods have been utilised across and in various parts of Australia, these being:

1) Decision trees with piecewise linear models with kriging of residuals developed from soil site data across Australia. (Viscarra Rossel et al., 2015a); 2) Disaggregation of existing polygon soil mapping using DSMART (Odgers et al. 2015a).

Version 1 of the National Digital Soil Property Maps combines mapping from the:

1) Australia-wide three-dimensional Digital Soil Property Maps; 2) Western Australia Polygon Disaggregation Maps; 3) South Australian Agricultural Areas Polygon Disaggregation Maps; 4) Tasmanian State-wide DSM Maps.

These individual mapping products are also available in the Data Access Portal. Please refer to these individual products for more detail on the DSM methods used.

URL: https://geoscience.data.qld.gov.au/dataset/mr004667

The SIX MILE PLAIN Mine map was published in 1983, charted in 1984 at 1:25 000 as part of the 1:25 000 series to administer permit and permit related spatial information. The map was maintained internally as a provisional office chart and is located within the Mount Merlin (6954) 1:100 000 map area.
The map product is available to all government agencies, industry and the public for reference.
Title and Image reference number is SIX MILE PLAIN_5931.

Permits current as at 01/07/1988 transferred into Mines spatial database and viewer. Author:Department of Mines, Queensland.

This IBEX-Hi data set is from Release 10 of all-sky map data for the first seven years, 2009-2015, in the form of omni direction Hydrogen, H, energetic neutral atom fluxes with no Compton-Getting corrections for spacecraft motion and with no corrections for ENA survival probability between 1 and 100 AU. All-sky maps have been compiled for each consecutive 6 month time interval. The Interstellar Boundary Explorer, IBEX, has operated in space since 2008 updating our knowledge of the outer heliosphere and its interaction with the local interstellar medium. Start-time: 2008-12-25. There are currently 14 releases of IBEX-Hi and/or IBEX-Lo data covering 2009-2017. The data consist of all-sky maps in Solar Ecliptic Longitude, east and west, and Latitude angles for Energetic Neutral Atom, ENA, Hydrogen fluxes from IBEX-Hi from energy band 2 through energy band 6, see the first table below, in numerical data form. This particular data set is from IBEX Release 10 which includes observation from the first seven years, 2009-2015, of the IBEX mission. Details of the data and enabled science from Release 10 are given in the following journal publication: McComas, D.J., et al. (2017), Seven Years of Imaging the Global Heliosphere with IBEX, Astrophys. J. Supp. Ser., 229(2), 41 (32 pp.), http://doi.org/10.3847/1538-4365/aa66d8 The IBEX-Hi band/channel center energies and full width half maximum, FWHM, energy ranges are listed in a table below: +-----------------------------------------------------+ Energy Band Center Energy Energy Range ----------------------------------------------------- Channel 2 ~0.71 keV 0.52 keV to 0.95 keV Channel 3 ~1.11 keV 0.84 keV to 1.55 keV Channel 4 ~1.74 keV 1.36 keV to 2.50 keV Channel 5 ~2.73 keV 1.99 keV to 3.75 keV Channel 6 ~4.29 keV 3.13 keV to 6.00 keV +-----------------------------------------------------+ This particular IBEX-Hi CDF data product was constructed from the original ascii files named using the pattern hvset_mapN for N=1,14, includes pixel map data from the omni direction, with no corrections, nocg, for the Compton-Getting effect no corrections, nosp, for ENA survival probability between 1 AU and 100 AU, and a map compilation cadence equal to 6 months. In all, there are 12 IBEX-Hi Release 10 CDF data products resulting from the multiplication of options for two Compton-Getting correction settings by two survival probability settings by three directional settings: antiram, ram, omni. The table below defines how the file naming pattern is constructed for each data product. Note that "ibex_h3_ena_hi_r10" is the file naming pattern root for all twelve of these IBEX-Hi CDF data products. The asterisk symbols in the last column of the table shows the line corresponding to this CDF data product within the expanded file naming pattern schema. +-----------------------------------------------------------------------------------------------------+ C-G Corr. SP Corr. Dir. Acronym Map Cadence File Naming Pattern for 1 yr Skymaps ----------------------------------------------------------------------------------------------------- cg nosp antiram 1 year ibex_h3_ena_hi_r10_cg_nosp_antiram_1yr cg sp antiram 1 year ibex_h3_ena_hi_r10_cg_sp_antiram_1yr nocg nosp antiram 1 year ibex_h3_ena_hi_r10_nocg_nosp_antiram_1yr nocg sp antiram 1 year ibex_h3_ena_hi_r10_nocg_sp_antiram_1yr ----------------------------------------------------------------------------------------------------- cg nosp ram 1 year ibex_h3_ena_hi_r10_cg_nosp_ram_1yr cg sp ram 1 year ibex_h3_ena_hi_r10_cg_sp_ram_1yr nocg nosp ram 1 year ibex_h3_ena_hi_r10_nocg_nosp_ram_1yr nocg sp ram 1 year ibex_h3_ena_hi_r10_nocg_sp_ram_1yr ----------------------------------------------------------------------------------------------------- cg nosp omni 6 months ibex_h3_ena_hi_r10_cg_nosp_omni_6mo cg sp omni 6 months ibex_h3_ena_hi_r10_cg_sp_omni_6mo nocg nosp omni 6 months ibex_h3_ena_hi_r10_nocg_nosp_omni_6mo *** nocg sp omni 6 months ibex_h3_ena_hi_r10_nocg_sp_omni_6mo +-----------------------------------------------------------------------------------------------------+ The first column in the above table shows whether Compton-Getting, C-G, corrections have been applied to the data. C-G corrections account for how ENA measurements are affected by the the orientation of the IBEX spacecraft velocity vector relative to the arrival direction of the ENAs. cg: Compton-Getting corrections applied nocg: Compton-Getting corrections not applied The second column in the above table shows whether Survival Probability, SP, corrections have been applied to the data. SP corrections account for the loss of ENAs due to radiation pressure, photoionization and ionization via charge exchange with solar wind protons as they stream through the heliosphere. This correction scales the data out from IBEX at 1 AU to ~100 AU. In the original data this mode is denoted as Tabular. sp: Survival Probability corrections applied nosp: Survival Probability corrections not applied The third column in the above table shows the constraint placed on the ENA arrival direction relative to spacecraft motion used in the construction of each of the various IBEX-Hi Skymaps. omni: All data, no Constraint on the IBEX velocity vector relative to the ram direction of incoming ENAs ram: Data constrained to times when the IBEX velocity vector pointed into the ram direction of the incoming ENAs antiram: Data constrained to times when the IBEX velocity vector pointed away from the ram direction of the incoming ENAs The data in IBEX Release 10 are separated into 6 month and 1 year segments. The following table shows the association between Release 10 map numbers from 1 to 14 with mission year from 1 to 7, orbits from 11 to 310b, and dates from 2008-12-25 to 2015-12-23. +-------------------------------------------------------------------------+ Skymap # Year Start-End of Orbit or Arcs Start Date to Stop Date ------------------------------------------------------------------------- 1 1 11-34 2008-12-25 to 2009-06-25 2 1 35-58 2009-06-25 to 2009-12-25 3 2 59-82 2009-12-25 to 2010-06-26 4 2 83-106 2010-06-26 to 2010-12-26 5 3 107-130a 2010-12-26 to 2011-06-25 6 3 130b-150a 2011-06-25 to 2011-12-24 7 4 150b-170a 2011-12-24 to 2012-06-22 8 4 170b-190b 2012-06-22 to 2012-12-26 9 5 191a-210b 2012-12-26 to 2013-06-26 10 5 211a-230b 2013-06-26 to 2013-12-26 11 6 231a-250b 2013-12-26 to 2014-06-26 12 6 251a-270b 2014-06-26 to 2014-12-24 13 7 271a-290b 2014-12-24 to 2015-06-24 14 7 291a-310b 2015-06-24 to 2015-12-23 +-------------------------------------------------------------------------+

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.

This is Version 1 of the Australian Soil Clay product of the Soil and Landscape Grid of Australia.

The Soil and Landscape Grid of Australia has produced a range of digital soil attribute products. Each product contains six digital soil attribute maps, and their upper and lower confidence limits, representing the soil attribute at six depths: 0-5cm, 5-15cm, 15-30cm, 30-60cm, 60-100cm and 100-200cm. These depths are consistent with the specifications of the GlobalSoilMap.net project (http://www.globalsoilmap.net/). The digital soil attribute maps are in raster format at a resolution of 3 arc sec (approximately 90 x 90 m pixels).

These maps are generated by combining the best available Digital Soil Mapping (DSM) products available across Australia.

Attribute Definition: 2 micrometre mass fraction of the less than 2 mm soil material determined using the pipette method;

Units: %;

Period (temporal coverage; approximately): 1950-2013;

Spatial resolution: 3 arc seconds (approx 90m);

Total number of gridded maps for this attribute: 18;

Number of pixels with coverage per layer: 2007M (49200 x 40800);

Total size before compression: about 8GB;

Total size after compression: about 4GB;

Data license : Creative Commons Attribution 3.0 (CC By);

Target data standard: GlobalSoilMap specifications;

Format: GeoTIFF.

Dataset History

The National Digital Soil Property Maps are generated by combining the best available digital soil mapping to calculate a variance weighted mean for each pixel. Two DSM methods have been utilised across and in various parts of Australia, these being:

     1) Decision trees with piecewise linear models with kriging of residuals developed from soil site data 

     across Australia. (Viscarra Rossel et al., 2014a);

     2) Disaggregation of existing polygon soil mapping using DSMART (Odgers et al. 2014a).



     Version 1 of the National Digital Soil Property Maps combines mapping from the:



     1) Australia-wide three-dimensional Digital Soil Property Maps;

     2) Western Australia Polygon Disaggregation Maps;

     3) South Australian Agricultural Areas Polygon Disaggregation Maps;

     4) Tasmanian State-wide DSM Maps.



     These individual mapping products are also available in the CSIRO Data Access Portal 

     (https://data.csiro.au). Please refer to these individual products for more detail on the DSM methods 

     used.



     References:

     Specifications: Version 1 GlobalSoilMap.net products, Release 2.1, viewed 12/09/2014, 

     http://www.globalsoilmap.net/specifications.



     Bishop, TFA, McBratney, AB & Laslett, GM 1999, 'Modelling soil attribute depth functions with equal-area 

     quadratic smoothing splines', Geoderma, vol. 91, no. 1-2, pp. 27-45. 

     http://dx.doi.org/10.1016/S0016-7061(99)00003-8.



     Breiman, L, Friedman, J, Stone, CJ & Olshen, RA 1984, Classification and Regression Trees, Wadsworth 

     statistics/probability series, Wadsworth Belmont, Ca.



     Clifford, D, Dobbie, MJ & Searle, R 2014, 'Non-parametric imputation of properties for soil profiles with 

     sparse observations', Geoderma, vol. 232-234, pp. 10-8. 

     http://dx.doi.org/10.1016/j.geoderma.2014.04.026.



     Clifford, D, Searle, R & Holmes, KW 2015, 'Methods to merge disparate spatial estimates of soil 

     attributes', Soil Research, in preparation.



     de Caritat, P & Cooper, M 2011, National Geochemical Survey of Australia: The Geochemical Atlas of 

     Australia, Geoscience Australia, Record 2011/20 (2 Volumes), Canberra, 557 pp. 

     http://www.ga.gov.au/metadata-gateway/metadata/record/gcat_71973.



     DEWRN 2014, Mapping soil and land, Department of Environment, Water and Natural Resources, Government of 

     South Australia, viewed 14/04/2014, 

     http://www.environment.sa.gov.au/Knowledge_Bank/Information_data/soil-and-land/mapping-soil-and-land.



     Grunwald, S 2009, 'Multi-criteria characterization of recent digital soil mapping and modeling 

     approaches', Geoderma, vol. 152, no. 3-4, pp. 195-207. http://dx.doi.org/10.1016/j.geoderma.2009.06.003.



     Hall, JAS, Maschmedt, DJ & Billing, NB 2009, The Soils of Southern South Australia, The South Australian 

     Land and Soil Book Series, Volume 1; Geological Survey of South Australia, Bulletin 56, Volume 1, 

     Department of Water, Land and Biodiversity Conservation, Government of South Australia. 

     https://data.environment.sa.gov.au/Land/Land-Resources/Pages/Home.aspx.



     Holmes, KW, Griffin, TG & Odgers, NP 2015, 'Continental scale spatial disaggregation of legacy soil maps: 

     evaluation over Western Australia', Soil Research, in preparation.



     Jacquier, D, Wilson, P, Griffin, T & Daniel, B 2012, Soil Information Transfer and Evaluation System 

     (SITES) - Database design and exchange protocols, CSIRO Land and Water, Canberra. 

     http://www.clw.csiro.au/aclep/publications/reports.htm.



     Kidd, D 2015, '80-metre Resolution 3D Soil Attribute Maps for Tasmania', Soil Research, in preparation.



     Kidd, DB, Malone, BP, McBratney, AB, Minasny, B & Webb, MA 2014, 'Digital mapping of a soil drainage index 

     for irrigated enterprise suitability in Tasmania, Australia', Soil Research, vol. 52, no. 2, pp. 107-19. 

     http://dx.doi.org/10.1071/sr13100.



     Malone, BP, Minasny, B, Odgers, NP & McBratney, AB 2014, 'Using model averaging to combine soil property 

     rasters from legacy soil maps and from point data', Geoderma, vol. 232, pp. 34-44. 

     http://dx.doi.org/10.1016/j.geoderma.2014.04.033.



     McBratney, AB, Mendonça Santos, ML & Minasny, B 2003, 'On digital soil mapping', Geoderma, vol. 117, no. 

     1-2, pp. 3-52. http://dx.doi.org/10.1016/S0016-7061(03)00223-4.



     McKenzie, NJ, Jacquier, DW, Maschmedt, DJ, Griffin, EA & Brough, DM 2012, The Australian Soil Resource 

     Information System (ASRIS) Technical Specifications, Revised Version 1.6, June 2012, The Australian 

     Collaborative Land Evaluation Program. 

     http://www.asris.csiro.au/downloads/ASRIS_Tech_Specs_201.6.pdf.



     McKenzie, NJ & Ryan, PJ 1999, 'Spatial prediction of soil properties using environmental correlation', 

     Geoderma, vol. 89, no. 1-2, pp. 67-94. http://dx.doi.org/10.1016/s0016-7061(98)00137-2.



     Odgers, NP, Holmes, KW, Griffin, T & Liddicoat, C 2015a, 'Derivation of soil attribute estimations from 

     legacy soil maps', Soil Research, in preparation.



     Odgers, NP, McBratney, AB & Minasny, B 2015, 'Digital soil property mapping and uncertainty estimation 

     using soil class probability rasters', Geoderma, vol. 237-238, pp. 190-8. 

     http://dx.doi.org/10.1016/j.geoderma.2014.09.009.



     Odgers, NP, Sun, W, McBratney, AB, Minasny, B & Clifford, D 2014, 'Disaggregating and harmonising soil map 

     units through resampled classification trees', Geoderma, vol. 214-215, pp. 91-100. 

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URL: https://geoscience.data.qld.gov.au/dataset/mr010240

The CHARTERS TOWERS SHEET 6 map was published to administer permit and permit related spatial information. The map was maintained internally as a provisional office chart and is located within the Charters Towers (8157) 1:100 000 map area.
The map product is available to all government agencies, industry and the public for reference.
Title and Image reference number is CHARTERS TOWERS SHEET 6_001103.

Charters Towers Geological Map Sheet 6