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

Ver: 1.0
Status of Data: completed
Update Frequency: notPlanned
Security Classification: unclassified
Record Last Modified: 2025-10-09
Viewed 70 times
Accessed 19 times
Dataset Created: 2022-02-13
Dataset Published: 2022-10-28
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLHTTPCloud Optimised GeoTIFFs - Pedogenons, Release 1WMSslga_pedogenonsHTTPLandscape Data Visualiser - Pedogenons, Release 1HTTPro-crate-metadata.json
How to cite this collection:
Dobarco, M., McBratney, A., Minasny, B. & Malone, B. (2022). Soil and Landscape Grid National Soil Attribute Maps - Pedogenons (3" resolution) - Release 1. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25919/r8rv-8617 
This map gives a modelled estimate of the spatial distribution of Pedogenon soil classes across Australia.

Pedogenon mapping is a method for stratifying the landscape (similar to soil-landscape units), which can be used to assess past soil change with a space-for-time substitution approach.

Pedogenon classes are a conceptual taxa that aim to define groups of homogeneous environmental variables. These groups are created applying unsupervised classification to a set of state variables, proxies of the soil-forming factors for a given reference time. The assumption is that the soil-forming processes within these classes (i.e., pedogenons) have been relatively similar over pedogenetic time and thus have developed soils with similar properties. Pedogenon classes can afterwards be divided into subclasses along a gradient from less (i.e., remnant pedogenons) to more anthropogenic pressure on soils (i.e., pedophenons), in an analogous way to the concept of genoform and phenoform (Rossiter and Bouma, 2018). The assessment of changes in soil condition can be done with a space for time substitution within and across pedogenon classes. The conceptualization and methodology for pedogenon mapping and using the classes as basis to assess changes in soil condition are explained with more detail in two publications (Román Dobarco et al., 2021a; Román Dobarco et al., 2021b).

Detailed information about the Soil and Landscape Grid of Australia can be found at - SLGA.

  • Period (temporal coverage; approximately): 1950-2022;
  • Spatial resolution: 3 arc seconds (approx 90 m);
  • Number of pixels with coverage per layer: 2007M (49200 * 40800);
  • Data license : Creative Commons Attribution 4.0 (CC BY);
  • Target data standard: GlobalSoilMap specifications;
  • Format: Cloud Optimised GeoTIFF;
 
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. This work was jointly funded by CSIRO, Terrestrial Ecosystem Research Network (TERN) and the Australian Government through the National Collaborative Research Infrastructure Strategy (NCRIS).
We are grateful to the custodians of the soil site data in each state and territory for providing access to the soil site data, and all of the organisations listed as collaborating agencies for their significant contributions to the project and its outcomes. 
Purpose
The map gives a modelled estimate of the spatial distribution of Pedogenon soil classes across Australia. 
Lineage
The map was produced as per methods described at - https://aussoilsdsm.esoil.io/slga-version-2-products/pedogenons All processing for the generation of these products was undertaken using the R programming language. R Core Team (2020).

Code - https://github.com/AusSoilsDSM/SLGA Observation data - https://esoil.io/TERNLandscapes/Public/Pages/SoilDataFederator/SoilDataFederator.html Covariate rasters - https://esoil.io/TERNLandscapes/Public/Pages/SLGA/GetData-COGSDataStore.html 
Method DocumentationMethods Summary - PedogenonsRossiter, D. G., & Bouma, J. (2018). A new look at soil phenoforms – Definition, identification, mapping. Geoderma, 314, 113–121.Román Dobarco, M., McBratney, A., Minasny, B., & Malone, B. (2021). A modelling framework for pedogenon mapping. Geoderma, 393, 115012.Román Dobarco, M., McBratney, A., Minasny, B., & Malone, B. (2021). A framework to assess changes in soil condition and capability over large areas. Soil Security, 4, 100011.R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.
Procedure StepsData not provided.
Temporal Coverage
From 1950-01-01 to 2022-02-13 
Spatial Resolution

Distance of 90 Meters

Vertical Extent

Data not provided.

ANZSRC - FOR
Agricultural land management
Agricultural spatial analysis and modelling
Pedology and pedometrics
Soil sciences
GCMD Sciences
AGRICULTURE
LAND SURFACE
LAND SURFACE - SOILS
Horizontal Resolution
30 meters - < 100 meters
Parameters
soil type
Temporal Resolution
Decadal
Topic
environment
geoscientificInformation
User Defined
Digital Soil Mapping
DSM
Global Soil Map
Pedogenon
Raster
SLGA
Soil
Soil Maps
Spatial modelling
Author
Dobarco, Mercedes
Co-Author
McBratney, Alex
Minasny, Budiman
Malone, Brendan
Collaborator
Department of Environment, Water and Natural Resources (2012-2018), South Australian Government
Department of Land Resource Management (2012-2016), Northern Territory Government
Department of Primary Industries, Parks, Water and Environment, Tasmanian Government
Office of Environment and Heritage (2011-2019), New South Wales
University of Sydney
Geoscience Australia
Department of Science, Information Technology, Innovation and the Arts (2012-2015), Queensland Government
Terrestrial Ecosystem Research Network
Commonwealth Scientific and Industrial Research Organisation
Department of Environment and Primary Industries (2013-2015), Victorian Government
Department of Agriculture and Food (2006-2017), Western Australian Government
Contact Point
Dobarco, Mercedes
Publisher
Terrestrial Ecosystem Research Network
Export to DCATExport to BibTeXExport to EndNote/Zotero
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.
Contact Us
Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. 
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 

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Version:6.2.22