The Millennium Coral Reef Mapping Project provides thematic maps of coral reefs worldwide at geomorphological scale. Maps were created by photo-interpretation of Landsat 7 and Landsat 8 satellite images. Maps are provided as standard Shapefiles usable in GIS software. The geomorphological classification scheme is hierarchical and includes 5 levels. The GIS products include for each polygon a number of attributes. The 5 level geomorphological attributes are provided (numerical codes or text). The Level 1 corresponds to the differentiation between oceanic and continental reefs. Then from Levels 2 to 5, the higher the level, the more detailed the thematic classification is. Other binary attributes specify for each polygon if it belongs to terrestrial area (LAND attribute), and sedimentary or hard-bottom reef areas (REEF attribute). Examples and more details on the attributes are provided in the references cited. The products distributed here were created by IRD, in their last version. Shapefiles for 29 atolls of Australia as mapped by the Global coral reef mapping project at geomorphological scale using LANDSAT satellite data (L7 and L8). Global coral reef mapping project at geomorphological scale using LANDSAT satellite data (L7 and L8). Funded by National Aeronautics and Space Administration, NASA grants NAG5-10908 (University of South Florida, PIs: Franck Muller-Karger and Serge Andréfouët) and CARBON-0000-0257 (NASA, PI: Julie Robinson) from 2001 to 2007. Funded by IRD since 2003 (in kind, PI: Serge Andréfouët).

Proportional change in effective area of similar ecological environments for Mammals as a function of land clearing within the present long term (30 year average) climate (1990 centred) based on Generalised Dissimilarity Modelling (GDM) of compositional turnover.

This metric describes the effects of land clearing on the area of similar environments to each grid cell as a proportion. Each cell is compared with a sample of 60,000 points in both uncleared landscape and degraded landscape (pairwise similarities summed (e.g. a completely similar cell will contribute 1, a dissimilar cell 0, with a range of values in between). The contribution of each cell is then multiplied by a 0 (cleared) to 1 (intact) condition index based on the natural areas layer. By dividing the test area by the current area, we are able to quantify the reduction in area as a function of land use/climate change. Values less than one indicate a reduction, values of 1 no change, and values greater than 1 (rare cases in the north) show an increase in similar environments.

This metric was developed along with others for use in an assessment of the efficacy of the protected area system for biodiversity under climate change at continental and global scales, presented at the IUCN World Parks Congress 2014. It is described in the AdaptNRM Guide “Implications of Climate Change for Biodiversity: a community-level modelling approach”, available online at: www.adaptnrm.org.

Data are provided in two forms: 1. Zipped ESRI float grids: Binary float grids (.flt) with associated ESRI header files (.hdr) and projection files (.prj). After extracting from the zip archive, these files can be imported into most GIS software packages, and can be used as other binary file formats by substituting the appropriate header file. 2. ArcGIS layer package (.lpk): These packages contain can be unpacked by ArcGIS as a raster with associated legend.

Additionally a short methods summary is provided in the file 9sMethodsSummary.pdf for further information.

Layers in this 9s series use a consistent naming convention: BIOLOGICAL GROUP _ FROM BASE_ TO SCENARIO_ ANALYSIS e.g. A_90_CAN85_S or R_90_MIR85_L where BIOLOGICAL GROUP is A: amphibians, M: mammals, R: reptiles and V: vascular plants

Lineage: Proportional change in the area of similar ecological environments was calculated using the highly parallel bespoke CSIRO Muru software running on a LINUX high-performance-computing cluster, taking GDM model transformed environmental grids as inputs. Proportional change was calculated by taking the area of baseline ecological environments similar to each present cell as the denominator and the area of present cells with their contribution scaled by the natural areas condition index (0 degraded to 1 intact) as the numerator. More detail of the calculations and methods are given in the document “9sMethodsSummary.pdf” provided with the data download. GDM Model: Generalised dissimilarity model of compositional turnover in reptile species for continental Australia at 9 second resolution using ALA data extracted 28 February 2014 (GDM: REP_r3_v2) Climate data. Models were built and projected using: a) 9-second gridded climatology for continental Australia 1976-2005: Summary variables with elevation and radiative adjustment b) 9-second gridded climatology for continental Australia 2036-2065 CanESM2 RCP 8.5 (CMIP5): Summary variables with elevation and radiative adjustment Natural Areas Layer (intact to degraded land) Australian Government Department of the Environment (2014) Natural areas of Australia - 100 metre (digital dataset and metadata). Available at http://www.environment.gov.au/metadataexplorer/explorer.jsp and up to date information for Western Australia were provided at 25m Albers projection were reprojected to GDA94, merged and aggregated to a continuous measure of proportion of intact area per grid cell at 9s.

A legacy of over 500 paper maps records geological lineament analysis of Australia conducted by the late Tim O'Driscoll in Western Mining Corporation Exploration Division during the 1960s to 1980s. The lineament interpretations were used to target mineral exploration, famously including the analysis that led to the discovery of the Olympic Dam deposit in South Australia. Papers discussing the lineament approach are collected in Bourne & Twidale (2007). Lineaments were interpreted from a range of data available at the time, including magnetic and gravity maps, topography, standard geological maps, and 'chicken track'interpretation of aerial photographs and early satellite images. This product comprises high quality digital scans of 130 of the original paper maps, rectified and georeferenced for use in GIS software. Geoscience Australia reproduces these maps and makes them available publicly for their historic and scientific interest. The paper originals are held in the Geoscience Australia library.

The Digital Surficial Geologic-GIS Map of Isle Au Haut and Immediate Vicinity, Acadia National Park, Maine is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (isha_surficial_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (isha_surficial_geology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (acad_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (acad_surficial_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (isha_surficial_geology_metadata_faq.pdf). Please read the acad_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Maine Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (isha_surficial_geology_metadata.txt or isha_surficial_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:62,500 and United States National Map Accuracy Standards features are within (horizontally) 31.8 meters or 104.2 feet of their actual _location as presented by this dataset. Users of this data should thus not assume the _location of features is exactly where they are portrayed in Google Earth, ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

The Surface Geology of Australia (2010 edition) is a seamless national coverage of outcrop and surficial geology, compiled for us e at or around 1:1 000 000 scale. The data maps outcropping bedrock geology and unconsolidated or poorly consolidated regolith m aterial covering bedrock. Geological units are represented as polygon and line geometries, and are attributed with information r egarding stratigraphic nomenclature and parentage, age, lithology, and primary data source. The dataset also contains geological contacts, structural features such as faults and shears, and miscellaneous supporting lines like the boundaries of water and ice bodies.

The dataset has been compiled from merging the seven State and Territory 1:1 000 000 scale surface geology datasets released by G eoscience Australia between 2006 and 2008, correcting errors and omissions identified in those datasets, addition of some offshor e island territories, and updating stratigraphic attribute information to the best available in 2010 from the Australian Stratigr aphic Units Database (http://www.ga.gov.au/oracle/stratnames/index.jsp). The map data were compiled largely from simplifying and edgematching existing 1:250 000 scale geological maps. Where these maps were not current, more recent source maps, ranging in s cale from 1:50 000 to 1:1 000 000 were used. In some areas where the only available geological maps were quite old and poorly lo cated, some repositioning of mapping using recent satellite imagery or geophysics was employed.

This data is freely available from Geoscience Australia under the Creative Commons Attribution 2.5 Australia Licence.

It is recommended that these data be referred to as:

Raymond, O.L., Retter, A.J., (editors), 2010. Surface geology of Australia 1:1,000,000 scale, 2010 edition [Digital Dataset] Geoscience Australia, Commonwealth of Australia, Canberra. http://www.ga.gov.au

Specialised Geographic Information System (GIS) software is required to view this data.

Descriptions of MAP_SYMB attribute field:
MAP_SYMB format = Drxy

1. D = unit age. Two letters may be used for units spanning for than one age periods.
   
   

Cenozoic Cz
Quaternary Q
Mesozoic Mz
Cretaceous K
Jurassic J
Triassic -R
Paleozoic Pz
Permian P
Carboniferous C
Devonian D
Silurian S
Ordovician O
Cambrian -C
Proterozoic -P
Neoproterozoic N
Mesoproterozoic M
Paleoproterozoic L
Archean A

2. r = gross rock descriptor. A one letter code to reflect the broad lithological composition of the unit

IGNEOUS EXAMPLES
g felsic to intermediate intrusive granite, granodiorite, tonalite, monzonite, diorite, syenite
d mafic intrusive gabbro, dolerite, norite
f felsic extrusive / high level intrusive rhyolite, dacite, ignimbrite, pyroclastic rocks
a intermediate extrusive / high level intrusive andesite, trachyte, latite, pyroclastic rocks
b mafic extrusive / high level intrusive basalt, scoria, shoshonite, pyroclastic rocks
u ultramafic undivided (intrusive & extrusive) komatiite, high Mg basalt, pyroxenite, dunite, wehrlite
k alkaline ultramafic kimberlite, lamprophyre, carbonatite

SEDIMENTARY
s siliciclastic/undifferentiated sediment shale, siltstone, sandstone, conglomerate, mudstone
j volcanogenic sediment epiclastic sediments and breccias, greywacke, arkose
l carbonate sediment limestone, marl, dolomite
c non-carbonate chemical sediment chert, evaporite, phosphorite, BIF
o organic-rich rock coal, amber, oil shale

MIXED SEDIMENTARY & IGNEOUS
v felsic & mafic volcanics
i felsic & mafic intrusives
w volcanics & sediments

METAMORPHIC
y low-medium grade meta clastic sediment slate, phyllite, schist, quartzite
t low-medium grade metabasite mafic schist, greenstone, amphibolite
r low-medium grade metafelsite rhyolitic schist, meta-andesite
m calc-silicate and marble meta carbonates and calcareous sediments
n high grade metamorphic rock gneiss, granulite, migmatite
p high-P metamorphic rock eclogite, blueschist
h contact metamorphic rock hornfels, spotted slate
e metamorphosed ultramafic rocks serpentinite, talc schist, chlorite schist (no feldspars), tremolite schist, ultr amafic amphibolite

OTHER
z fault / shear rock mylonite, fault breccia, cataclasite, gouge
q vein quartz vein, carbonate vein
x complex, melange, undivided, unknown

1. xy = One or two letters to reflect the stratigraphic name of a unit. Where practical, these letters reflect stratigraphic g rouping or hierarchy. For instance, formations within a named group should have letter symbols reflecting their parent group.
   
   

eg: Tomkinson Creek Group - Lsk
Bootu Formation - Lskb

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 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. See additional information also.

Purpose

Indicates the current primary use or management objective of the land.

Dataset History

Source DataQueensland Government - Land use mapping (1999); Landsat TM and ETM imagery; Spot5 imagery; High resolution ortho photography through the Spatial Imagery Subscription Plan (SISP); Queensland Digital Cadastral Database (DCDB) (2009), Queensland Valuation and Sales Database (QVAS) (2009); Queensland Nature Refuges (2009); Queensland Estates (2009); Queensland Herbarium's Regional Ecosystem, Water Body and Wetlands datasets (2009); Statewide Landcover & Trees Study (SLATS) Queensland Dams and Waterbodies (2009) and land cover change data; scanned aerial photography (1999-2009).Additional verbal & written information on land uses & their locations was obtained from regional Queensland Government officers, Local Government Authorities, land owners & managers, private industry as well as from field observations & checking.Data captureA range of existing digital datasets containing land use information was collated from the Queensland Government spatial data inventory and prepared for use in a GIS using ArcGIS and ERDAS Imagine software.Processing steps To compile the 1999 baseline mapping, datasets containing baseline land cover (supplied by SLATS), Protected Areas, State Forest and Timber Reserves, plantations, coastal wetlands, reserves (from DCDB) and logged forests were interpreted in a spatial model to produce a preliminary land use raster image.The model incorporated a decision matrix which assigned each pixel a specific land use class according to a set of pre-determined rules.Individual catchments were clipped from the model output and enhanced with additional land use information interpreted primarily from Landsat TM and ETM imagery as well as scanned and hardcopy aerial photography (where available). The DCDB and other datasets containing land use information were used to help identify property and land use type boundaries. This process produced a draft land use raster.Verification of the draft land use dataset, particularly those with significant areas of intensive land uses, was undertaken by comparing mapped land use classes with observed land use classes in the field where possible. The final raster image was converted to a vector coverage in ARC/Info and GIS editing performed.The existing 1999 baseline (or later where available) land use dataset (vector) formed the basis for the 2006 and 2009 land use mapping. The 2006 & 2009 datasets were then updated primarily by interpretation of SPOT5 imagery, high-res orthophotography, scanned aerial photography and inclusion of expert local knowledge. This was performed in an ESRI ArcSDE geodatabase replication infrastructure, across some nine regional offices. The DCDB, QVAS, Estates, Queensland Herbarium wetlands and SLATS land cover change and waterbody datasets were used to assist in identification and delineation of property and land use type boundaries. Digitised areas of uniform land use type were assigned to land use classes according to ALUMC Version 7 (May 2010).This "current" land use mapping product presents a complete state-wide land use map of Queensland, after collating the most current land use datasets within a single mapping layer.An independent validation was undertaken to assess thematic (attribute) accuracy under the ALUM classification. Please refer to the orignal source data for the validation results.

Dataset Citation

Queensland Department of Science, Information Technology, Innovation and the Arts (2013) Bioregional_Assessment_Programme_Land use mapping - Queensland current. Bioregional Assessment Source Dataset. Viewed 21 December 2017, http://data.bioregionalassessments.gov.au/dataset/740d257f-b622-49c2-9745-be283239add3.

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.

National dataset of Australia's Ramsar Wetlands.

The Convention on Wetlands of International Importance (the Ramsar Convention) was signed in Ramsar, Iran on 2 February 1971. The Ramsar Convention aims to halt the worldwide loss of wetlands and to conserve, through wise use and management, those that remain. The Convention encourages member countries to nominate sites containing representative, rare or unique wetlands, or that are important for conserving biological diversity, to the List of Wetlands of International Importance (Ramsar sites). Australia was one of the first countries to become a Contracting Party to the Convention and designated the world's first Ramsar site, Cobourg Peninsula, in 1974.

This project was initiated by the Wetlands Section of the Australian Government Department of the Environment. Spatial data was sourced from the relevant State and Territory agencies and compiled into a single national coverage.

Credit:

(c) Commonwealth of Australia, Department of Environment with data compiled through cooperative efforts of the States/Territories Government wetland agencies.

April 2015.

Credit:

ACT Government, Environment and Planning Directorate,

Credit:

NSW Office of the Environment and Heritage,

Credit:

NT Department of Land Resource Management,

Credit:

Qld Department of Department of Environment and Heritage Protection,

Credit:

SA Department of Environment, Water and Natural Resources,

Credit:

Tas Department of Primary Industries, Parks, Water and Environment,

Credit:

Vic Department of Environment and Primary Industries,

Credit:

WA Department of Environment and Conservation.

Purpose

This project was initiated by the Wetlands Section of the Australian Government Department of the Environment. Spatial data was sourced from the relevant State and Territory agencies and compiled into a single national coverage.

Dataset History

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 dataset is a polygon dataset which amalgamates spatial boundaries provided by data custodians to produce a national dataset

Data received from each State or Territory were compiled by ERIN and verified by the Wetlands Section of the Australian Government Department of the Environment.

The boundaries are supplied by the custodian States and Territories, no alterations have been made to boundaries except for datum/projection transformations.

Note: The data in the final coverage contains data captured from different sources including Satellite imagery, orthophoto, digitising 1:100 000 maps and smaller scale. SOURCE field contains general description of input data source.

Data were compiled using ArcGIS software.

Updates

Gwydir - Windella boundary updated (5/12/06) from NSW NPWS map file coordinates (ruled in court case to be the legal boundary). Coordinates were provided in AGD66 and projected to GDA94 using the AGD_1966_To_GDA_1994_4 transform.

December 2006 - updated attribute table to include juresdiction, total_site_area_ha and designation_date fields.

November 2007 - Paroo River Wetlands added as 65th site.

April 2009 - Complete update of NSW boundaries with INTERIM boundaries supplied by NSW DECC on 13/3/09. All NSW boundaries were replaced by the boundaries in the supplied dataset. This is for use internally until final boundaries supplied by DECC. Note that the designation date of Lake Pinaroo was incorrect and was changed by DEWHA with permission from DECC. Detailed information on the changes at each site are included in the data supplied by the custodian.

May 2009 - Complete update of VIC boundaries with data provided by DSE. Only boundary changes are to Western Port and Port Phillip Bay and Bellarine Peninsula which were updated with improved mapping.

April 2010 - NSW boundaries updated with revised boundaries from NSW DECC. Shortlands within Hunter Estuary, and Goddard's Lease in Gwydir were surveyed by consultants and have been updated.

April 2010 - Marine boundaries were updated as a result of boundary review to align with the Marine Parks. Minor changes only (datum errors have been corrected).

June 2010 - Kakadu National Park, Hosnies Spring and Pulu Keeling National Park updated. Kakadu National Park was merged from two sites into one; datum errors in Hosnies Spring have been corrected and Pulu Keeling updated to represent the National Park boundary.

June 2010 - WA boundaries replaced with boundary dataset from WA DEC to ensure consistency. Minor data processing changes only (generally less than 4m).

October 2010 - Kakadu National Park, Hosnies Spring and the Dales updated. An error was found in the CAPAD boundaries for these, so they have been updated with new boundaries supplied by Parks.

November 2010 - All Tasmanian Ramsar Wetland boundaries were updated following the provision of new data from the state. Further changes were made in late November with new data being obtained for Apsley Marshes and Moulting lagoon.

June 2011 - Victorian boundaries updated for all sites with the exception of Western Port and Port Phillip Bay and Bellarine Peninsula which were updated in May 2009.

June 2011 - Coorong boundary updated with data provided by South Australian DEH.

July 2011 - Hattah-Kulkyne updated with new data provided by Vic DSE. The new boundary is based on aerial photography to interpret the high water mark of the lake extent.

July 2011 - Ginini Flats updated with new boundary from ACT Department of Territory and Municipal Services.

September 2013 - Piccaninnie ponds added from data provided by SA Department for Environment and Heritage.

Quality

Scope: Dataset

External accuracy:

Variable due to numerous sources

Non Quantitative accuracy:

100%, unique Refcode being the important item.

Conceptual consistency:

No information provided beyond normal procedures for compiling GIS data.

Completeness omission:

Complete

Dataset Citation

Department of the Environment (2015) Ramsar Wetlands of Australia. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/d65cc156-944d-4961-bfba-eacfd61db63a.

CAMRIS incorporates the Australian estuarine database, which includes the National Estuaries Study (Bucher and Saenger 1989, http://dx.doi.org/10.1111/j.1467-8470.1991.tb00726.x). Attributes include location, name, climatic variables, run-off coefficients, land use, flood frequency, water quality, habitat types including seagrass/mangrove/saltmarsh, fisheries/conservation/amenity values, administration, literature and threats.

Format: shapefile.

Quality - Scope: Dataset. Absolute External Positional Accuracy: Assumed to be correct. +/- one degree. Non Quantitative accuracy: The estuaries coverage contains 1566 points and the following attributes:

ESTUARY_NO : Inventory number, contains a letter prefix to denote State in which estuary lies. Estuaries are numbered clockwise around the continent.

NAME : Name of major input stream used to identify an estuary unless the estuary itself is named.

GEO_ZONE : Set of 12 coastal geographical zones (ACIUCN 1986).

CLIM_ZONE : Set of 3 named climatic zones.

CATCH_AREA : Catchment Area (sq km).

AVE_ANN_RF : Mean annual rainfall (mm), recorded at station nearest estuary.

RUNOFF_COEF : Runoff figure, best approximation to a catchment average rainfall, usually the average value for the respective drainage basin.

MAX_TIDAL_RANGE : Maximum tidal range (m).

WATER_AREA : Water area (sq km).

SAND-MUD_AREA : Sand and Mud Area (sq km).

MANGROVE_AREA : Area of Mangroves (sq km).

SEAGRASS_AREA : Area of Seagrass (sq km).

SALTMARSH_AREA : Area of Saltmarsh (sq km).

ESTUARINE_AREA : Est area of estuary (sq km).

GALLOWAY_SECTION : Galloway section number - each 3x10km strip is numbered, clockwise around the coast.

LONGITUDE : Longitude of estuary site (dd).

LATITUDE : Latitude of estuary site (dd).

LANDUSE_CODE : % catchment clearance.

FLOOD_REGIME : Frequency of flooding.

WATER-QUAL : Subjective assessment of water quality only.

MANGROVE_COVER : Degree Mangrove cover.

SEAGRASS_COVER : Degree Seagrass cover.

SALTMARSH_COVER : Degree Saltmarsh cover.

FISH_VALUE : Importance of an estuary as a commercial or amateur fishing ground.

FISH_THREAT : Threats to fisheries.

CONS_VALUE : Qualitative conservation values.

CONS_THREAT : Threats to conservation.

AMENITY_VALUE : Amenities value.

ECO_STATUS : Effects of human activity.

RESEARCH : Depth of information used to assess estuary.

ADMIN : Statutory classifications that restricts use.

Conceptual consistency: Coverages are topologically consistent. No particular tests conducted by ERIN. Completeness omission: Complete for the Australian continent. Lineage: ERIN: Projected the estuaries point coverage to geographics with the WGS84 spheroid. The coverage has been attributed with information taken from the Bucher and Saenger (1989) National estuaries inventory.

CSIRO: Data were stored in VAX files, MS-DOS R-base files and as a microcomputer dataset accessible under the LUPIS (Land Use Planning Information System) land allocation package. CAMRIS was established using SPANS Geographic Information System (GIS) software running under a UNIX operating system on an IBM RS 6000 platform. A summary of data processing follows:

1. r-BASE: Information imported into r-BASE from a number of different sources (ie Digitised, scanned, CD-ROM, NOAA World Ocean Atlas, Atlas of Australian Soils, NOAA GEODAS archive and Complete book of Australian Weather).

2. From the information held in r-BASE a BASE Table was generated incorporating specific fields.

3. SPANS environment: Works on creating a UNIVERSE with a geographic projection - Equidistant Conic (Simple Conic) and Lambert Conformal Conic, Spheroid: International Astronomical Union 1965 (Australia/Sth America); the Lower left corner and the longitude and latitude of the centre point.

4. BASE Table imported into SPANS and a BASE Map generated.

5. Categorise Maps - created from the BASE map and table by selecting out specified fields, a desired window size (ie continental or continent and oceans) and resolution level (ie the quad tree level).

6. Rasterise maps specifying key parameters such as: number of bits, resolution (quad tree level 8 lowest - 16 highest) and the window size (usually 00 or cn).

7. Gifs produced using categorised maps with a title, legend, scale and long/lat grid.

8. Supplied to ERIN with .bil; .hdr; .gif; Arc export files .e00; and text files .asc and .txt formats.

9. The reference coastline for CAMRIS was the mean high water mark (AUSLIG 1:100 000 topographic map series).

Statewide soil and land information can be discovered and viewed through eSPADE or SEED. Datasets include soil profiles, soil landscapes, soil and land resources, acid sulfate soil risk mapping, hydrogeological landscapes, land systems and land use. There are also various statewide coverages of specific soil and land characteristics, such as soil type, land and soil capability, soil fertility, soil regolith, soil hydrology and modelled soil properties.

Both eSPADE and SEED enable soil and land data to be viewed on a map. SEED focuses more on the holistic approach by enabling you to add other environmental layers such as mining boundaries, vegetation or water monitoring points. SEED also provides access to metadata and data quality statements for layers.

eSPADE provides greater functions and allows you to drill down into soil points or maps to access detailed information such as reports and images. You can navigate to a specific location, then search and select multiple objects and access detailed information about them. You can also export spatial information for use in other applications such as Google Earth™ and GIS software.

eSPADE is a free Internet information system and works on desktop computers, laptops and mobile devices such as smartphones and tablets and uses a Google maps-based platform familiar to most users. It has over 42,000 soil profile descriptions and approximately 4,000 soil landscape descriptions. This includes the maps and descriptions from the Soil Landscape Mapping program. eSPADE also includes the base maps underpinning Biophysical Strategic Agricultural Land (BSAL).

For more information on eSPADE visit: https://www.environment.nsw.gov.au/topics/land-and-soil/soil-data/espade

Updated quarterly, the Landgate Basemap is comprised of simplified cadastre, topographic and road centreline information, and is the perfect backdrop to provide context for projects that require commonly used underlying WA centric location information. The Landgate Basemap provides a stylized (familiar ‘StreetSmart’ style ) layout, current, geo-referenced and view only map base. This is a view only service (i.e no data download capability) and can be viewed in combination with Landgate’s other subscription datasets, SLIP public datasets and other geo-referenced data. Designed for use within GIS and online mapping applications, the tile cached Basemap service introduces faster panning and redrawing of location information commonly used across many sectors. Key information • WA centric basemap comprising commonly used Landgate location information • cached map tiles • ESRI cache map service and WMTS (web map tile service) - publishes in WGS84 only • Update cycle: quarterly • Coverage: whole of state (includes Christmas and Cocos Keeling Islands) • QGIS 2.18 minimum required for WMTS usage. © 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. For more information and access to Subscription Services contact Landgate's Business Sales and Service team. Email: BusinessSolutions@landgate.wa.gov.au Services Note, the following services require 3rd party software that supports OGC Standards and Esri services.

The Solid Geology of the North Australian Craton 1:1M scale dataset 1st edition (2020) is a seamless chronostratigraphic solid geology dataset of the North Australian Craton that covers north of …Show full descriptionThe Solid Geology of the North Australian Craton 1:1M scale dataset 1st edition (2020) is a seamless chronostratigraphic solid geology dataset of the North Australian Craton that covers north of Western Australia, Northern Territory and north-west Queensland. The data maps stratigraphic units concealed under cover by effectively removing the overlying cover (Liu et al., 2015). This dataset comprises five chronostratigraphic time slices, namely: Cenozoic, Mesozoic, Paleozoic, Neoproterozoic, and Pre-Neoproterozoic. As an example, the Mesozoic time slice (or layer) shows Mesozoic age geology that would be present if all Cenozoic units were removed. The Pre-Neoproterozoic time slice shows what would be visible if all Neoproterozoic, Paleozoic, Mesozoic, and Cenozoic units were removed. Geological units are represented as polygon and line geometries and, are attributed with information regarding stratigraphic nomenclature and hierarchy, age, lithology, and primary data source. The datasets also contains geological contacts, structural features, such as faults and shears, and miscellaneous supporting lines like crater impacts or structural grain within stratigraphic units. This is the second staged release of Geoscience Australia's national time based solid geology mapping program commenced under the Federal Government’s Exploring for the Future program. The Cenozoic time slice layer was extracted from Raymond, O.L., Liu, S., Gallagher, R., Highet, L.M., Zhang, W., 2012. Surface Geology of Australia, 1:1 000 000 scale, 2012 edition [Digital Dataset]. Geoscience Australia, Commonwealth of Australia, Canberra. http://www.ga.gov.au and retains the data schema of that dataset. For this layer’s metadata, refer to http://pid.geoscience.gov.au/dataset/ga/74619 NOTE: Specialised Geographic Information System (GIS) software is required to view this data.

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.

These data represent the OZMIN Oracle relational database containing geological and resource information for Australian mineral deposits. OZMIN has been compiled from published references and has been designed so that attribute information can be retrieved and analysed in relation to spatial data contained in geographic information systems. The national mineral deposits dataset contains data on over one thousand major and historically significant mineral deposits for 60 mineral commodities (including coal).

Extracted from the Australian Mines Atlas - 24 July 2013

Dataset History

The data within this dataset is derived directly from the corporate ORACLE OZMIN Mineral Deposits database. An ASCII extraction of the Geoscience Australia ORACLE database is generated as ASCII comma-delimited files for each table that is part of or used by the OZMIN database. Only data that is part of the current release of OZMIN (Release 3 - October 2000) is included. An MS ACCESS database format is also replicated from the ORACLE database and uses the same table structure. Only data that is part of the current release of OZMIN (Release 3 - October 2000) is included. The spatial representation of this database in (ArcView and MapInfo format) is extracted and generated using ArcInfo GIS software to meet the published data standard within the Geoscience Australia. The extraction of the spatial GIS datasets is done within ArcInfo using advanced AML code (ORACOV.AML) developed by Dmitar Butrovski, Geoscience Australia.

Extracted from the Australian Mines Atlas - 24 July 2013

Original source metadata: http://www.ga.gov.au/metadata-gateway/metadata/record/gcat_a05f7892-b68d-7506-e044-00144fdd4fa6/OZMIN+Mineral+Deposits+Database

Dataset Citation

Geoscience Australia (2013) Australian Mineral Deposits. Bioregional Assessment Source Dataset. Viewed 27 November 2017, http://data.bioregionalassessments.gov.au/dataset/14e96462-b029-469a-9af8-06410f39589b.

Curnamona Province MGA GIS DVDVersion 2 of the Curnamona Province dataset was produced as a co-operative venture between Primary Industries and Resources South Australia (PIRSA), GA (Geoscience Australia) and DMR (New South Wales Department of Mineral Resources). It contains data from South Australia and New South Wales.For a generalised map of Dataset Locations, click here. * Coordinate projection MGA Zone 54 (GDA94). * Dataset size 2.4 Gb * Available formats: ESRI shapefile (ArcGIS, ArcView), MapInfo on DVD-ROM. Users must provide their own software. * DVD-ROM Dataset Price AUD$20. To purchase online, please link to SARIG and go to the Products section.

Available at the Map and Data Library. CD #163.

GEODATA TOPO 250K Series 3 is a vector representation of the major topographic features appearing on the 1:250,000 scale NATMAPs supplied in Personal Geodatabase format and is designed for use in a range of commercial GIS software. Data is arranged within specific themes. All data is based on the GDA94 coordinate system. GEODATA TOPO 250K Series 3 is available as a packaged product in Personal Geodatabase, ArcView Shapefile or MapInfo TAB file formats. Each package includes data arranged in ten main themes - cartography, elevation, framework, habitation, hydrography, infrastructure, terrain, transport, utility and vegetation. Data is also available as GEODATA TOPO 250K Series 3 for Google Earth in .kml format for use on Google Earth TM Mapping Service. Use of GEODATA TOPO 250K Series 3 is subject to a licence, the full terms of which are contained within the package. To obtain these products, contact the Geoscience Australia Sales Centre (link below) and specify the file format that you require. MapConnect is Geoscience Australia`s on-line map download system, delivering free download of seamless data. MapConnect will allow you to select a specific area (subject to parameters) and themes or select individual tiles for download. Data will be available in GML and Shape file formats. Customised 250K GEODATA is available where requirements are not met by the packaged or MapConnect options. The price will be determined after assessing your needs. Alternately, we may refer you to a third party supplier. Product Specifications Themes: Cartography, Elevation, Framework, Habitation, Hydrography, Infrastructure, Terrain, Transport, Utility and Vegetation Coverage: National (Powerlines not available in South Australia) Currency: Data has a currency of less than five years for any location Coordinates: Geographical Datum: Geocentric Datum of Australia (GDA94) Formats: Personal Geodatabase, ArcView Shapefile and MapInfo TAB Medium: Packaged DVD ROM ($99.00 per package) Previous Version: Replaces GEODATA TOPO 250K Series 2 Release Date: 26 June 2006

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 dataset was sourced from the Queensland Department of Natural Resources and Mines in 2012. Information provided by the Department describes the dataset as follows:

This data was originally provided on DVD and contains the converted shapefiles, layer files, raster images and project .mxd files used on the Queensland geology and structural framework map. The maps were done in ArcGIS 9.3.1 and the data stored in file geodatabases, topology created and validated. This provides greater data quality by performing topological validation on the feature's spatial relationships. For the purposes of the DVD, shapefiles were created from the file geodatabases and for MapInfo users MapInfo .tab and .wor files. The shapefiles on the DVD are a revision of the 1975 Queensland geology data, and are both are available for display, query and download on the department's online GIS application.

The Queensland geology map is a digital representation of the distribution or extent of geological units within Queensland. In the GIS, polygons have a range of attributes including unit name, type of unit, age, lithological description, dominant rock type, and an abbreviated symbol for use in labelling the polygons. The lines in this dataset are a digital representation of the position of the boundaries of geological units and other linear features such as faults and folds. The lines are attributed with a description of the type of line represented. Approximately 2000 rock units were grouped into the 250 map units in this data set. The digital data was generalised and simplified from the Department's detailed geological data and was captured at 1:500 000 scale for output at 1:2 000 000 scale.

In the ESRI version, a layer file is provided which presents the units in the colours and patterns used on the printed hard copy map. For Map Info users, a simplified colour palette is provided without patterns. However a georeferenced image of the hard copy map is included and can be displayed as a background in both Arc Map and Map Info.

The geological framework of Queensland is classified by structural or tectonic unit (provinces and basins) in which the rocks formed. These are referred to as basins (or in some cases troughs and depressions) where the original form and structure are still apparent. Provinces (and subprovinces) are generally older basins that have been strongly tectonised and/or metamorphosed so that the original basin extent and form are no longer preserved. Note that intrusive and some related volcanic rocks that overlap these provinces and basins have not been included in this classification. The map was compiled using boundaries modified and generalised from the 1:2 000 000 Queensland Geology map (2012). Outlines of subsurface basins are also shown and these are based on data and published interpretations from petroleum exploration and geophysical surveys (seismic, gravity and magnetics).

For the structural framework dataset, two versions are provided. In QLD_STRUCTURAL_FRAMEWORK, polygons are tagged with the name of the surface structural unit, and names of underlying units are imbedded in a text string in the HIERARCHY field. In QLD_STRUCTURAL_FRAMEWORK_MULTI_POLYS, the data is structured into a series of overlapping, multi-part polygons, one for each structural unit. Two layer files are provided with the ESRI data, one where units are symbolised by name. Because the dataset has been designed for units display in the order of superposition, this layer file assigns colours to the units that occur at the surface with concealed units being left uncoloured. Another layer file symbolises them by the orogen of which they are part. A similar set of palettes has been provided for Map Info.

Dataset History

Details on the source data can be found in the xml file associated with data layer.

Data in this release

*ESRI.shp and MapInfo .tab files of rock unit polygons and lines with associated layer attributes of Queensland geology

*ESRI.shp and MapInfo .tab files of structural unit polygons and lines with associated layer attributes of structural framework

*ArcMap .mxd and .lyr files and MapInfo .wor files containing symbology

*Georeferenced Queensland geology map, gravity and magnetic images

*Queensland geology map, structural framework and schematic diagram PDF files

*Data supplied in geographical coordinates (latitude/longitude) based on Geocentric Datum of Australia - GDA94

Accessing the data

Programs exist for the viewing and manipulation of the digital spatial data contained on this DVD. Accessing the digital datasets will require GIS software. The following GIS viewers can be downloaded from the internet. ESRI ArcExplorer can be found by a search of www.esriaustralia.com.au and MapInfo ProViewer by a search on www.pbinsight.com.au collectively ("the websites").

Metadata

Metadata is contained in .htm files placed in the root folder of each vector data folder. For ArcMap users metadata for viewing in ArcCatalog is held in an .xml file with each shapefile within the ESRI Shapefile folders.

Disclaimer

The State of Queensland is not responsible for the privacy practices or the content of the websites and makes no statements, representations, or warranties about the content or accuracy or completeness of, any information or products contained on the websites.

Despite our best efforts, the State of Queensland makes no warranties that the information or products available on the websites are free from infection by computer viruses or other contamination.

The State of Queensland disclaims all responsibility and all liability (including without limitation, liability in negligence) for all expenses, losses, damages and costs you might incur as a result of accessing the websites or using the products available on the websites in any way, and for any reason.

The State of Queensland has included the websites in this document as an information source only. The State of Queensland does not promote or endorse the websites or the programs contained on them in any way.

WARNING: The Queensland Government and the Department of Natural Resources and Mines accept no liability for and give no undertakings, guarantees or warranties concerning the accuracy, completeness or fitness for the purposes of the information provided. The consumer must take all responsible steps to protect the data from unauthorised use, reproduction, distribution or publication by other parties.

Please view the 'readme.html' and 'licence.html' file for further, more complete information

Dataset Citation

Geological Survey of Queensland (2012) Queensland geology and structural framework - GIS data July 2012. Bioregional Assessment Source Dataset. Viewed 07 December 2018, http://data.bioregionalassessments.gov.au/dataset/69da6301-04c1-4993-93c1-4673f3e22762.

This dataset contains maps showing the principal attributes of tides around the Australian coast. It has been derived from data published in the Australian National Tide Tables.

Format: shapefile.

Quality - Scope: Dataset. External accuracy: +/- one degree. Non Quantitative accuracy: Data are assumed to be correct. Three datasets describe tidal information around Australia:

Cover_Name, Item_Name, Item_Description:

TIDEMAX, MAX_TIDE_(M), Maximum tidal range in metres.

Conceptual consistency: Coverages are topologically consistent. No particular tests conducted by ERIN. Completeness omission: Complete for the Australian continent. Lineage: ERIN: Data was projected to geographics using the WGS84 datum and spheroid, to be compatible for the Australian Coastal Atlas. The digital datsets were attributed using the information held in the legend (.key) files.

CSIRO: All CAMRIS data were stored in VAX files, MS-DOS R-base files and as a microcomputer dataset accessible under the LUPIS (Land Use Planning Information System) land allocation package. CAMRIS was established using SPANS Geographic Information System (GIS) software running under a UNIX operating system on an IBM RS 6000 platform. A summary follows of processing completed by the CSIRO: 1. r-BASE: Information imported into r-BASE from a number of different sources (ie Digitised, scanned, CD-ROM, NOAA World Ocean Atlas, Atlas of Australian Soils, NOAA GEODAS archive and The Complete Book of Australian Weather). 2. From the information held in r-BASE a BASE Table was generated incorporating specific fields. 3. SPANS environment: Works on creating a UNIVERSE with a geographic projection - Equidistant Conic (Simple Conic) and Lambert Conformal Conic, Spheroid: International Astronomical Union 1965 (Australia/Sth America); the Lower left corner and the longitude and latitude of the centre point. 4. BASE Table imported into SPANS and a BASE Map generated. 5. Categorise Maps - created from the BASE map and table by selecting out specified fields, a desired window size (ie continental or continent and oceans) and resolution level (ie the quad tree level). 6. Rasterise maps specifying key parameters such as: number of bits, resolution (quad tree level 8 lowest - 16 highest) and the window size (usually 00 or cn). 7. Gifs produced using categorised maps with a title, legend, scale and long/lat grid. 8. Supplied to ERIN with .bil; .hdr; .gif; Arc export files .e00; and text files .asc and .txt formats. 9. The reference coastline for CAMRIS was the mean high water mark (AUSLIG 1:100 000 topographic map series).

The Broadcasting Services Act 1992 mandates that Commercial and Community broadcasting services are licensed to serve specific geographic areas. These geographic areas are referred to as Licence Areas, and are determined by the Australian Communications and Media Authority (ACMA) in Licence Area Plans (LAPs). The ACMA defines Licence Areas in terms of areas defined by the Australian Bureau of Statistics (ABS) for the purposes of the Australian Census. The smallest area unit currently defined by the ABS is the Collection District (CD).

This dataset comprises the collection of current broadcast Licence Areas, and is made available in five forms:

• the list of Australian Bureau of Statistics CD numbers making up the Licence Area definition, distributed in a comma separated value (CSV) format text file;
• a translation of the ABS CD numbers into the names of the Local Government Areas (LGAs) and Statistical Division (SDs) within the area boundary, known as the Licence Area Description, rendered as an HTML page;
• a geographic map displaying the Licence Area, distributed as a Portable Document Format (PDF) file;
• a spatial dataset for use in GIS software, distributed as a ZIP archive containing ESRI Shapefile Format data files; and
• a Google Earth Placemark (.KMZ) file viewable in the Google Earth application and other software that can display Placemark data.

This database contains information about the distribution and abundance of New Zealand fur seals around the Australian coastline. It is derived from information held at the former CSIRO Division of Wildlife and Ecology, and provided by Dr. P. Shaughnessy.

Format: shapefile.

Quality - Scope: Dataset. External accuracy: +/- one degree. Non Quantitative accuracy: Variable.

Data in the Fur Seal coverage contains:

LOCATION = The physical location of Fur Seal. DATE = Date and month when species recorded. Does not state the year. SEAL_NUMBER = Fur Seal unique identification number.

Data in the Sea Lion coverage contains:

LOCATION = The physical location of a Sea Lion. DATE = Date, month and year when species has been recorded. SEALION_NUMBER = Seal Lion unique identification number.

Conceptual consistency: Coverages are topologically consistent. No particular tests conducted by ERIN. Completeness omission: Complete for the Australian continent. Lineage: Data were stored in VAX files, MS-DOS R-base files and as a microcomputer dataset accessible under the LUPIS (Land Use Planning Information System) land allocation package. CAMRIS was established using SPANS Geographic Information System (GIS) software running under a UNIX operating system on an IBM RS 6000 platform. A summary follows of processing completed by the CSIRO: 1. r-BASE: Information imported into r-BASE from a number of different sources (ie Digitised, scanned, CD-ROM, NOAA World Ocean Atlas, Atlas of Australian Soils, NOAA GEODAS archive and Complete book of Australian Weather). 2. From the information held in r-BASE a BASE Table was generated incorporating specific fields. 3. SPANS environment: Works on creating a UNIVERSE with a geographic projection - Equidistant Conic (Simple Conic) and Lambert Conformal Conic, Spheroid: International Astronomical Union 1965 (Australia/Sth America); the Lower left corner and the longitude and latitude of the centre point. 4. BASE Table imported into SPANS and a BASE Map generated. 5. Categorise Maps - created from the BASE map and table by selecting out specified fields, a desired window size (ie continental or continent and oceans) and resolution level (ie the quad tree level). 6. Rasterise maps specifying key parameters such as: number of bits, resolution (quad tree level 8 lowest - 16 highest) and the window size (usually 00 or cn). 7. Gifs produced using categorised maps with a title, legend, scale and long/lat grid. 8. Supplied to ERIN with .bil; .hdr; .gif; Arc export files .e00; and text files .asc and .txt formats. 9. The reference coastline for CAMRIS was the mean high water mark (AUSLIG 1;100 000 topographic map series).

Abstract

The dataset was derived by the Bioregional Assessment Programme from Hydstra Groundwater Measurement Update - NSW Office of Water, Nov2013. The source dataset ia identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

Displays the original Hydstra measurement (HYDMEAS) tabular data records (as stored in the Hydstra software platform) in a GIS format for interpretation and analysis.

Analysis completed on this dataset includes extracts to determine location and status of current monitoring bores:

HYDMEAS - original tabular database file (dbf) showing groundwater levels

HYDMEAS_XY_all - displays all original tabular data in GIS shapefile format

HYDMEAS_unique_bores - shows one record for each unique bore station ID

HYDMEAS_2008 - All HYDMEAS data from 2008 or later

HYDMEAS_2008to2013_mulitple_reading - All HYDMEAS data from 2008 or later which has been monitored twice or more (in that period), produced to estimate groundwater level monitoring bores

National Groundwater Information System (NGIS) data supplied as a comparison of HYDMEAS monitoring estimates.

Hydstra is a water resources time series data management system developed by KISTERS Pty Ltd.

Purpose

Provide spatial distribution of groundwater level monitoring status and reading for New South Wales.

Dataset History

HYDMEAS - original tabular data

HYDMEAS_XY_all - displays all original tabular data in GIS format - Displayed as XY in ArcGIS based on Lat and Long attributes and exported as a point shapefile

HYDMEAS_unique_bores - shows one record for each unique bore ID - Dissolved HYDMEAS_XY_all based on STATION field

HYDMEAS_2008 - All HYDMEAS data from 2008 or later - Selected based on DATE field

HYDMEAS_2008to2013_mulitple_reading - All HYDMEAS data from 2008 or later which has been monitored twice or more (in that period), produced to estimate groundwater level monitoring bores - HYDMEAS_2008 dataset dissolved based on STATION and a count field added. Only bores with count of 2 or more were retained

Dataset Citation

Bioregional Assessment Programme (2014) GIS analysis of HYDMEAS - Hydstra Groundwater Measurement Update: NSW Office of Water - Nov2013. Bioregional Assessment Derived Dataset. Viewed 12 March 2019, http://data.bioregionalassessments.gov.au/dataset/d414c703-aabd-43af-81e0-30aab4d9dfb1.

Dataset Ancestors

• Derived From Hydstra Groundwater Measurement Update - NSW Office of Water, Nov2013

Soil and landscape mapping was collated from Western Australia, South Australia, Victoria, and New South Wales, in combination with latest Digital Soil Mapping products for Australia (Soil and Landscape Grid of Australia) as the basis for a new sandy soils map. A staged map compilation process was undertaken to combine all these available datasets into one uniform map that retains integrity of legacy contextual mapping information.

The key steps undertaken in the mapping of sandy soils include: 1. Define an agricultural region area of interest for this study; 2. Collate available soil-landscape mapping datasets across Australia (including state and national); 3. Assemble and edit existing mapping to form a new sandy soil map for agricultural regions of the study area; 4. Review and revise this mapping in response to feedback from NCST members including state/territory experts.

Maps were revised and updated with input from members of the Digital Soil Assessment Working Group and members of the National Committee on Soil and Terrain. While efforts were made to include these suggestions, it was not possible to refine the map indefinitely, and therefore editing ceased on the 23^rd of February 2021. Due to the variations in scale, mapping techniques, representation, and attribution across Australia, the use of these maps for such purposes as mapping sandy soils across southern Australia proved difficult.

From the new sandy soils map we were able to identify agricultural areas of sandy soils: (Western Australia - 10.611Mha; South Australia - 2.479Mha; New South Wales - 1.867Mha; Victoria - 0.864Mha and Tasmania - 0.215Mha). Nationally there were 16.039Mha of sandy soil identified which is considerably higher than the 11Mha from previous estimates.

This research is funded by the CRC for High Performance Soils and supported by the Cooperative Research Centres program, an Australian Government initiative.

Additional funding and in-kind support are provided by: Murdoch University, PIRSA, Federation University Australia, West Midlands Group and AORA. Contributions from Richard Bell, Amanda Schapel and David Davenport have been critical in shaping the logic and key considerations in mapping sandy soils and benefits of amelioration. James Hall is also thanked for providing insights into sandy soils for South Australia and the formation of the new Arenosol soil order for Australia.

We would also like to acknowledge the contributions of the Digital Soil Assessment Working Group and members of the National Committee on Soil and Terrain that provided valuable feedback on the approach used to map sandy soils.

Administrative and structural details on data files:

• A shapefile (Sandy_soil_map_aglands.shp) is provided for use in a Geographic Information System (GIS). This should be useable in commercial (e.g. ArcGIS) and open source software packages (e.g. QGIS). The shapefile data coordinate system is WGS1984 geographic.
• A RTF file is also provided which includes information on the data fields and content of the shapefile for users. Note that abbreviations for the Australian Soil Classification Order and Suborder fields (as 2021) were used.

Associated publication:

Robinson N, Pope R, Liddicoat C, Holmes K, Griffin E, Kidd D, Jenkins B, Rees D, Searle R. (2021) Sandy Soils: Organic and clay amendments to improve the productivity of sandy soils. Detailed plan for mapping and grouping of sands. Soil CRC Project 3.3.003. Cooperative Research Centre for High Performance Soils.