Soil and Landscape Grid National Soil Attribute Maps - Available Volumetric Water Capacity (Percent) (3 arc second resolution) Version 2
This is Version 2 of the Australian Available Volumetric Water Capacity (AWC) product of the Soil and Landscape Grid of Australia.<br></br>
The map gives a modelled estimate of the spatial distribution of AWC soil hydraulic property in soils across Australia.<br></br>
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).<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: Available Volumetric Water Capacity (Units: percent);</li>
<li>Period (temporal coverage; approximately): 1950-2021;</li>
<li>Spatial resolution: 3 arc seconds (approx. 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>Target data standard: GlobalSoilMap specifications;</li>
<li>Format: Cloud Optimised GeoTIFF</li></ul>
Simple
Identification info
- Date (Creation)
- 2021-06-21
- Date (Publication)
- 2024-09-26
- Date (Revision)
- 2024-09-26
- Edition
- 2.0
Identifier
Publisher
Author
Author
Co-author
Collaborator
Collaborator
Collaborator
Collaborator
Collaborator
Collaborator
Collaborator
Collaborator
Collaborator
Collaborator
Collaborator
- 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.
- 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
- <p></p>This work was jointly funded by CSIRO, Terrestrial Ecosystem Research Network (TERN) and the Australian Government through the National Collaborative Research Infrastructure Strategy (NCRIS).<br> 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.
- Status
- Completed
Point of contact
Spatial resolution
- Spatial resolution
- 90
- Topic category
-
- Environment
- Geoscientific information
Extent
Temporal extent
- Time period
- 1950-01-01 2021-06-14
- Maintenance and update frequency
- Not planned
- GCMD Science Keywords
- ANZSRC Fields of Research
- TERN Parameter Vocabulary
- QUDT Units of Measure
- GCMD Horizontal Resolution Ranges
- GCMD Temporal Resolution Ranges
- Keywords (Discipline)
-
- TERN_Soils
- TERN_Soils_DSM
- Raster
- Attribute
- Soil Hydraulic Properties
- Available Water Capacity
- Continental
- DUL
- DSM
- Global Soil Map
- Spatial modelling
- 3-dimensional soil mapping
- Spatial uncertainty
- Soil Maps
- Digital Soil Mapping
- SLGA
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
- Title
- Creative Commons Attribution 4.0 International Licence
- Alternate title
- CC-BY
- Edition
- 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> 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> Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.
Resource constraints
- Classification
- Unclassified
Distribution Information
Distributor
Distributor
- Distribution format
-
- OnLine resource
-
SLGA Available Water Capacity - v2
AWC_v2
- OnLine resource
-
SLGA Available Water Capacity - v2
AWC_v2
- OnLine resource
- ro-crate-metadata.json
Distribution Information
Distributor
Distributor
- Distribution format
-
- OnLine resource
- File Naming Conventions
Resource lineage
- Statement
- A full description of the methods used to generate this product can be found at - <a href="https://aussoilsdsm.esoil.io/slga-version-2-products/soil-hydraulic-properties">AusSoilDSM</a>.<br></br> <p>We employed standard Digital Soil Modelling (DSM) (McBratney et. al., 2002) methods utilizing publicly available soil observation data and publicly available environmental covariate data in an environmental correlation approach using machine learning to map the soil properties of volumetric (mm/mm) Drained Upper Limit (DUL) and Soil Lower Limit (L15) across the entire continent at 6 standard depths at 90 m pixel resolution.</p> <p>We used pedotransfer functions for estimating Drained Upper Limit - 1/3 bar (DUL) and Lower Limit - 15 bar (L15) from readily available soil attribute data using data from the National Soil Site Collation (NSSC) (Searle, 2014). Soil property data was obtained using the TERN SoilDataFederator (SDF).</p> <p>The spatial modelling of DUL and L15 is done at six standard depth intervals conforming to the GlobalSoilMap Specifications. (GlobalSoilMap Science Committee, 2015) ie 0-5 cm, 5-15 cm, 15-30 cm, 30-60 cm, 60-100 cm and 100-200 cm. To facilitate modelling at these standard depths the observed data set depths were harmonized to these depths using a mass preserving spline method as described Bishop (1999). A total of 20545 soil profiles were splined in this way and used as inputs to the spatial modelling.</p> We utilised the publicly available Terrestrial Ecosystem Research Network (TERN) raster covariate stack. It is comprised of 154 individual raster data layers. <br></br> The covariate stack was used as the independent variable data for the predictions across all grid cells and at each depth.<br></br> Fifty bootstrapped model realisations using the Cubist machine learning algorithm (Quinlan, 1992) were generated and were used to predicted DUL and L15 values (mean of the bootstrap realisations) and estimate upper and lower confidence intervals (5% and 95%) across the entire continent. <br></br> The Available Water Capacity values were calculated by subtracting the L15 values of each layer from the DUL values of each layer and the upper and lower confidence intervals were estimated by combining the variances of the upper and lower confidence intervals of L15 and DUL.<br></br> To estimate the Total Available Volumetric Water Capacity (mm) to 1 and 2 meters we summed all the AWC layer values converted to mm of water to the estimated soil depth (Australia-wide 3D digital soil property maps - Depth of Soil (3 arc second resolution) Version 2) or the designated depth of the product - which ever was shallowest.<br></br> All processing for the generation of these products was undertaken using the R programming language (R Core Team, 2020).<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
- Methods Summary for modelling of Soil Hydraulic Properties
- Website
-
https://aussoilsdsm.esoil.io/slga-version-2-products/soil-hydraulic-properties
Method documentation
- Title
- Arrouays, D., McBratney, A. B., Minasny, B., Hempel, J. W., Heuvelink, G. B. M., MacMillan, R. A., ... & McKenzie, N. J. (2014). The GlobalSoilMap project specifications. GlobalSoilMap: Basis of the global spatial soil information system, 9-12.
- Website
-
https://www.fao.org/3/br957e/br957e.pdf
Method documentation
- Title
- McBratney, A. B., Santos, M. M., & Minasny, B. (2003). On digital soil mapping. Geoderma, 117(1-2), 3-52.
- Website
-
https://doi.org/10.1016/S0016-7061(03)00223-4
Method documentation
- Title
- Searle, Ross. (2014). The Australian site data collation to support the GlobalSoilMap. GlobalSoilMap: Basis of the Global Spatial Soil Information System - Proceedings of the 1st GlobalSoilMap Conference. 127-132. 10.1201/b16500-26.
- Website
-
http://dx.doi.org/10.1201/b16500-26
Method documentation
- Title
- Quinlan, J.R. (1992) Learning with Continuous Classes. Proceedings of Australian Joint Conference on Artificial Intelligence, Hobart 16-18 November 1992, 343-348.
- Website
-
https://sci2s.ugr.es/keel/pdf/algorithm/congreso/1992-Quinlan-AI.pdf
Method documentation
Reference System Information
- Reference system identifier
- EPSG/EPSG:4326
- Reference system type
- Geodetic Geographic 2D
Metadata
- Metadata identifier
-
urn:uuid/482301c2-b9a1-4345-b142-815f9b37890a
- Title
- TERN GeoNetwork UUID
- Language
- English
- Character encoding
- UTF8
Point of contact
Type of resource
- Resource scope
- Dataset
- Metadata linkage
-
https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/482301c2-b9a1-4345-b142-815f9b37890a
Point-of-truth metadata URL
- Date info (Creation)
- 2021-08-10T00:00:00
- Date info (Revision)
- 2024-09-26T00:00:00
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