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.

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 cm, 5-15 cm, 15-30 cm, 30-60 cm, 60-100 cm and 100-200 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 m pixels).

These maps are generated using Digital Soil Mapping methods.

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>

<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 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>

Identification info

Date (Creation): 2022-10-06

Date (Publication): 2024-08-06

Date (Revision): 2024-08-06

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. 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: 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

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

ANZSRC Fields of Research

TERN Parameter Vocabulary

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. 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. Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.

Resource constraints

Classification: Unclassified

Distribution Information

Distributor

Terrestrial Ecosystem Research Network

80 Meiers Road, Indooroopilly, Queensland, 4068, Australia

Indooroopilly

Queensland

4068

Australia

Distribution format

GeoTIFF

OnLine resource: Cloud Optimised GeoTIFFs - Coarse Fragments, Release 1

OnLine resource: Landscape Data Visualiser - Coarse Fragments, Release 1

OnLine resource: SLGA Coarse Fragments - v1
CFG_v1

OnLine resource: SLGA Coarse Fragments - v1
CFG_v1

OnLine resource: ro-crate-metadata.json

Distribution Information

Distributor

Commonwealth Scientific and Industrial Research Organisation

Building 101, Clunies Ross Street, Black Mountain, 2601, Australian Capital Territory, Australia

Black Mountain

Australian Capital Territory

2601

Australia

Distribution format

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 %), few (2-10 %), common (2-20 %), many (20-50 %), abundant (50-90 %) and very abundant (> 90 %). The gravimetric content (% mass) is measured in the laboratory as percent mass of coarse fragments (particles > 2 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). Observations of gravimetric coarse fragment content (CF_Weight) were transformed into volumetric with the equation: CF_Vol (%) = Vol_CF / Vol_WhSoil (Weight_CF / ρ_CF(Weight_WhSoil / ρ_WhSoil) =(CF_Weight * ρ_WhSoil) / ρ_CF 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. Mapping was produced using quantile regression forest fitted with the observed coarse fragments class data and a large set of environmental variables as predictors. <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

Date info (Revision): 2024-08-06T00:00:00

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

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