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Soil and Landscape Grid National Soil Attribute Maps - Coarse Fragments (3" resolution) - Release 1

This is Version 1 of the Soil Coarse Fragments product of the Soil and Landscape Grid of Australia.<br></br>


<p>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: 0-5&nbsp;cm, 5-15&nbsp;cm, 15-30&nbsp;cm, 30-60&nbsp;cm, 60-100&nbsp;cm and 100-200&nbsp;cm. These depths are consistent with the specifications of the GlobalSoilMap.net project - <a href=" https://esoil.io/TERNLandscapes/Public/Pages/SLGA/Resources/GlobalSoilMap_specifications_december_2015_2.pdf ">GlobalSoilMaps</a>. The digital soil attribute maps are in raster format at a resolution of 3 arc sec (~90 x 90&nbsp;m pixels).</p>


These maps are generated using Digital Soil Mapping methods.<br></br>


Detailed information about the Soil and Landscape Grid of Australia can be found at - <a href=" https://esoil.io/TERNLandscapes/Public/Pages/SLGA/index.html ">SLGA</a><br></br>


<ul style="list-style-type: disc;"><li>Attribute Definition: Soil Coarse Fragments Class Probabilities as defined in the Australian Soil and Land Survey Field Handbook

(Units: Probability of CF class occurring);</li>

<li>Period (temporal coverage; approximately): 1950-2022;</li>

<li>Spatial resolution: 3 arc seconds (approximately 90&nbsp;m);</li>

<li>Total number of gridded maps for this attribute: 18;</li>

<li>Number of pixels with coverage per layer: 2007M (49200 * 40800);</li>

<li>Total size before compression: about 8GB;</li>

<li>Total size after compression: about 4GB;</li>

<li>Format: Cloud Optimised GeoTIFF.</li>

Simple

Identification info

Date (Creation)
2022-10-06
Date (Publication)
2024-08-06
Date (Revision)
2025-12-10
Edition
1.0

Identifier

Title
DataCite
Code
doi:10.25919/c583-fd02
Codespace
http://dx.doi.org

Publisher

Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd
Indooroopilly
QLD
4068
Australia
+61 7 3365 9097

Author

Sydney Institute of Agriculture, University of Sydney - Dobarco, Mercedes ()
380 Werombi Road, Camden, New South Wales, 2570, Australia
Camden
New South Wales
2570
Australia

Co-author

Sydney Institute of Agriculture, University of Sydney - Wadoux, Alexandre ()
380 Werombi Road, Camden, New South Wales, 2570, Australia
Camden
New South Wales
2570
Australia

Co-author

Sydney Institute of Agriculture, University of Sydney - Malone, Brendan ()
380 Werombi Road, Camden, New South Wales, 2570, Australia
Camden
New South Wales
2570
Australia

Co-author

Sydney Institute of Agriculture, University of Sydney - Minasny, Budiman ()
380 Werombi Road, Camden, New South Wales, 2570, Australia
Camden
New South Wales
2570
Australia

Co-author

Sydney Institute of Agriculture, University of Sydney - McBratney, Alex (Director - Sydney Institute of Agriculture, Professor of Digital Agriculture & Soil Science)
380 Werombi Road, Camden, New South Wales, 2570, Australia
Camden
New South Wales
2570
Australia

Co-author

CSIRO Agriculture and Food - Searle, Ross (Senior Experimental Scientist)
Waite Road, Waite, South Australia, 5064, Australia
Waite
South Australia
5064
Australia
Website
https://www.tern.org.au/

Purpose
The aim is to operate an open national capability that provides access to verified, science-quality land surface dynamics data and soils information layers, plus high-end data analytics tools that integrated with other TERN observations can meet the needs of ecosystem researchers and actionable information for policy makers and natural resource managers. <br></br>The map gives a modelled estimate of the spatial distribution of Soil Coarse Fragments Class Probabilities as defined in the Australian Soil and Land Survey Field Handbook in soils across Australia.
Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.
Credit
<br></br>The observed data used to produce this map was obtained from state and federal soil survey agencies. The work was supported by TERN. CSIRO maintains and makes the data through the Australian Soil Resource Information System.
Status
Completed

Point of contact

Sydney Institute of Agriculture, University of Sydney - Dobarco, Mercedes ()
380 Werombi Road, Camden, New South Wales, 2570, Australia
380 Werombi Road
Camden
New South Wales
2570
Australia

Spatial resolution

Spatial resolution
90
Topic category
  • Environment
  • Geoscientific information

Extent

N
S
E
W


Temporal extent

Time period
1950-01-01 2022-10-06
Title
Improvements to the Australian national soil thickness map using an integrated data mining approach (2020)
Website
Improvements to the Australian national soil thickness map using an integrated data mining approach (2020)

Related documentation

Maintenance and update frequency
Not planned
GCMD Science Keywords
  • SOILS
  • AGRICULTURE
  • LAND SURFACE
ANZSRC Fields of Research
  • Agricultural land management
  • Agricultural spatial analysis and modelling
  • Soil sciences
  • Soil sciences not elsewhere classified
TERN Parameter Vocabulary
  • abundance of coarse fragments
  • Unitless
QUDT Units of Measure
  • Unitless
GCMD Horizontal Resolution Ranges
  • 30 meters - < 100 meters
GCMD Temporal Resolution Ranges
  • Decadal
Keywords (Discipline)
  • TERN_Soils
  • TERN_Soils_DSM
  • Soil
  • TERN
  • Raster
  • Attributes
  • Continental
  • Australia
  • DSM
  • Global Soil Map
  • spatial modelling
  • 3-dimensional soil mapping
  • spatial uncertainty
  • Soil Maps
  • Digital Soil Mapping
  • SLGA
  • Course Fragments Probability

Resource constraints

Use limitation
The Creative Commons Attribution 4.0 International (CC BY 4.0) license allows others to copy, distribute, display, and create derivative works provided that they credit the original source and any other nominated parties. Details are provided at https://creativecommons.org/licenses/by/4.0/
File name
88x31.png
File description
CCBy Logo from creativecommons.org
File type
png
Linkage
https://w3id.org/tern/static/cc-by/88x31.png

Title
Creative Commons Attribution 4.0 International Licence
Alternate title
CC-BY
Edition
4.0
Website
https://creativecommons.org/licenses/by/4.0/

Access constraints
License
Use constraints
Other restrictions
Other constraints
TERN services are provided on an “as-is” and “as available” basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure.<br /><br />Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN.<br /><br />Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting<br /><br />Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.

Resource constraints

Classification
Unclassified

Distribution Information

Distribution format

Distributor

Distributor

Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia
Indooroopilly
Queensland
4068
Australia
OnLine resource
Cloud Optimised GeoTIFFs - Coarse Fragments, Release 1

OnLine resource
Landscape Data Visualiser - Coarse Fragments, Release 1

OnLine resource
CFG_v1

SLGA Coarse Fragments - v1

OnLine resource
CFG_v1

SLGA Coarse Fragments - v1

OnLine resource
ro-crate-metadata.json

Distribution Information

Distribution format

Distributor

Distributor

Commonwealth Scientific and Industrial Research Organisation
147 Underwood Avenue, Floreat, 6014, Western Australia, Australia
Floreat
Western Australia
6014
Australia
OnLine resource
File Naming Conventions

Resource lineage

Statement
Data on the abundance of coarse fragments (particles > 2 mm) and gravimetric content (% weight) were extracted with using the the Terrestrial Ecosystem Research Network (TERN) <a href="https://esoil.io/TERNLandscapes/Public/Pages/SoilDataFederator/SoilDataFederator.html">Soil Data Federator</a> managed by CSIRO (Searle et al., 2021). The Soil Data Federator is a web API that compiles soil data from various institutions and government agencies throughout Australia. The abundance (% volume) is assessed visually in the field as part of the soil profile description using standards described in the Australian Soil and Land Survey field Handbook (National Committee on Soils and Terrain , 2009). The abundance of rock fragments per soil horizon on the cut surface of the soil profile surface of the soil horizon occupied by coarse fragments was grouped into six categories: very few (0-2&nbsp;%), few (2-10&nbsp;%), common (2-20&nbsp;%), many (20-50&nbsp;%), abundant (50-90&nbsp;%) and very abundant (> 90&nbsp;%). The gravimetric content (% mass) is measured in the laboratory as percent mass of coarse fragments (particles > 2&nbsp;mm) from the whole soil. Here, we take the profile surface abundance of coarse fragments as a proxy for volumetric coarse fragments (CFVol). The data was cleaned and processed to exclude duplicates and wrong data entries (e.g., missing values). The observations of CFVol (%) were converted into GlobalSoilMap depth intervals with the slab function of the aqp R package (Beaudette et al., 2021), assigning the most probable class to each depth interval. The gravimetric coarse fragments were also standardised to the GlobalSoilMap depth intervals with equal-area quadratic splines (Bishop et al., 1999).<br> Observations of gravimetric coarse fragment content (CF_Weight) were transformed into volumetric with the equation:<br><br> CF_Vol (%) = Vol_CF / Vol_WhSoil (Weight_CF / &rho;_CF(Weight_WhSoil / &rho;_WhSoil) =(CF_Weight * &rho;_WhSoil) / &rho;_CF<br><br> Where, ρ_WhSoil is the bulk density prediction for bulk soil from SLGA (Viscarra Rossel et al., 2014), ρ_CF is assumed to be 2.65 g cm-3 (Hurlbut and Klein (1977) in Mckenzie et al. (2002) and CF_Vol is the volumetric coarse fragment content (continuous),which was assigned to the corresponding class. This resulted in CFVol observations for 110,308 locations.<br><br> Mapping was produced using quantile regression forest fitted with the observed coarse fragments class data and a large set of environmental variables as predictors.<br></br> <ul style="list-style-type: disc;"><li>Code - <a href="https://github.com/AusSoilsDSM/SLGA">https://github.com/AusSoilsDSM/SLGA</a></li> <li>Observation data - <a href="https://esoil.io/TERNLandscapes/Public/Pages/SoilDataFederator/SoilDataFederator.html">https://esoil.io/TERNLandscapes/Public/Pages/SoilDataFederator/SoilDataFederator.html></a></li> <li>Covariate rasters - <a href="https://esoil.io/TERNLandscapes/Public/Pages/SLGA/GetData-COGSDataStore.html">https://esoil.io/TERNLandscapes/Public/Pages/SLGA/GetData-COGSDataStore.html</a></li></ul>
Hierarchy level
Dataset
Title
Soil Coarse Fragments
Website
https://aussoilsdsm.esoil.io/slga-version-2-products/soc-fractions

Method documentation

Title
Beaudette, D. E., Roudier, P., and Brown, A.: aqp: Algorithms for Quantitative Pedology, R package version 1.42, [code], 2022
Website
https://doi.org/10.1016/j.cageo.2012.10.020

Method documentation

Title
Soil and Landscape Grid National Soil Attribute Maps - Bulk Density - Whole Earth (3" resolution) - Release 1. v5. CSIRO. Data Collection.
Website
https://doi.org/10.4225/08/546EE212B0048

Method documentation

Title
Bishop, T. F. A., McBratney, A. B., and Laslett, G. M.: Modelling soil attribute depth functions with equal-area quadratic smoothing splines, Geoderma, 91, 27–45, 1999
Website
https://doi.org/10.1016/S0016-7061(99)00003-8

Method documentation

Title
McKenzie, N., Coughlan, K., and Cresswell, H.: Soil physical measurement and interpretation for land evaluation, CSIRO Publishing, 2002. 
Website
https://doi.org/10.1071/9780643069879

Method documentation

Reference System Information

Reference system identifier
EPSG/EPSG:4326

Reference system type
Geodetic Geographic 2D

Metadata

Metadata identifier
urn:uuid/4dd5ced8-4116-45ad-bfb1-ec4b8ad375a0

Title
TERN GeoNetwork UUID

Language
English
Character encoding
UTF8

Point of contact

Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd
Indooroopilly
QLD
4068
Australia
+61 7 3365 9097

Type of resource

Resource scope
Dataset
Metadata linkage
https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/4dd5ced8-4116-45ad-bfb1-ec4b8ad375a0

Point-of-truth metadata URL

Date info (Creation)
2021-08-10T00:00:00.000000+00:00
Date info (Revision)
2025-12-10T10:00:49.130060+00:00

Metadata standard

Title
ISO 19115-1:2014/AMD 1:2018 Geographic information - Metadata - Fundamentals
Edition
1

Metadata standard

Title
ISO/TS 19115-3:2016
Edition
1.0

Metadata standard

Title
ISO/TS 19157-2:2016
Edition
1.0
Title
Terrestrial Ecosystem Research Network (TERN) Metadata Profile of ISO 19115-3:2016 and ISO 19157-2:2016
Date (published)
2021
Edition
1.0

Identifier

Code
10.5281/zenodo.5652221
Website
https://github.com/ternaustralia/TERN-ISO19115/releases/tag/v1.0

 
 

Overviews

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Spatial extent

N
S
E
W


Keywords

ANZSRC Fields of Research
Agricultural land management Agricultural spatial analysis and modelling Soil sciences Soil sciences not elsewhere classified
GCMD Science Keywords
AGRICULTURE LAND SURFACE SOILS

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Associated resources

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