Soil and Landscape Grid National Soil Attribute Maps - Silt (3" resolution) - Release 2
This is Version 2 of the Australian Soil Silt Content product of the Soil and Landscape Grid of Australia.<br><br>
It supersedes the Release 1 product that can be found at https://doi.org/10.4225/08/546F48D6A6D48 <br><br>
The map gives a modelled estimate of the spatial distribution of silt 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: 0-5cm, 5-15cm, 15-30cm, 30-60cm, 60-100cm and 100-200cm. These depths are consistent with the specifications of the GlobalSoilMap.net project ( https://esoil.io/TERNLandscapes/Public/Pages/SLGA/Resources/GlobalSoilMap_specifications_december_2015_2.pdf ). 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 - https://esoil.io/TERNLandscapes/Public/Pages/SLGA/index.html <br><br>
<ul style="list-style-type: disc;"><li>Attribute Definition: 2-20 um mass fraction of the < 2 mm soil material determined using the pipette method;</li>
<li>Units: %;</li>
<li>Period (temporal coverage; approximately): 1950-2021;</li>
<li>Spatial resolution: 3 arc seconds (approx 90m);</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>Data license : Creative Commons Attribution 4.0 (CC BY);</li>
<li>Target data standard: GlobalSoilMap specifications;</li>
<li>Format: Cloud Optimised GeoTIFF;</li></ul>
Simple
Identification info
- Date (Creation)
- 2021-09-13
- Date (Publication)
- 2022-11-08
- Date (Revision)
- 2024-09-27
- Edition
- 2.0
Identifier
Publisher
Author
CSIRO Agriculture and Food - Malone, Brendan ()
Waite Road, Waite, South Australia, 5064, Australia
Waite
South Australia
5064
Australia
Co-author
CSIRO Agriculture and Food - Searle, Ross (Senior Experimental Scientist)
Waite Road, Waite, South Australia, 5064, Australia
Waite
South Australia
5064
Australia
Collaborator
Commonwealth Scientific and Industrial Research Organisation
Building 101, Clunies Ross Street, Black Mountain, Australian Capital Territory, 2601, Australia
Black Mountain
Australian Capital Territory
2601
Australia
Collaborator
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia
Indooroopilly
Queensland
4068
Australia
Collaborator
University of Sydney
City Road, Camperdown, New South Wales, 2050, Australia
Camperdown
New South Wales
2050
Australia
Collaborator
Geoscience Australia
101 Jerrabomberra Avenue, Symonston, Australian Capital Territory, 2609, Australia
Symonston
Australian Capital Territory
2609
Australia
Collaborator
Department of Land Resource Management (2012-2016), Northern Territory Government
25 Chung Wah Terrace, Palmerston, Northern Territory, 0830, Australia
Palmerston
Northern Territory
0830
Australia
Collaborator
Office of Environment and Heritage (2011-2019), New South Wales
4 Parramatta Square, 12 Darcy Street, Parramatta, New South Wales, 2150, Australia
Parramatta
New South Wales
2150
Australia
Collaborator
Department of Science, Information Technology, Innovation and the Arts (2012-2015), Queensland Government
400 George Street, Brisbane, Queensland, 4000, Australia
Brisbane
Queensland
4000
Australia
Collaborator
Department of Environment, Water and Natural Resources (2012-2018), South Australian Government
81-95 Waymouth Street, Adelaide, South Australia, 5000, Australia
Adelaide
South Australia
5000
Australia
Collaborator
Department of Primary Industries, Parks, Water and Environment, Tasmanian Government
59 Liverpool Street, Hobart, Tasmania, 7000, Australia
Hobart
Tasmania
7000
Australia
Collaborator
Department of Environment and Primary Industries (2013-2015), Victorian Government
8 Nicholson Street, Melbourne, Victoria, 3000, Australia
Melbourne
Victoria
3000
Australia
Collaborator
Department of Agriculture and Food (2006-2017), Western Australian Government
3 Baron-Hay Court, South Perth, Western Australia, 6151, Australia
South Perth
Western Australia
6151
Australia
- Website
- https://www.tern.org.au/
- Purpose
- The map gives a modelled estimate of the spatial distribution of silt 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
- <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
CSIRO Agriculture and Food - Malone, Brendan ()
Waite Road, Waite, South Australia, 5064, Australia
Waite Road
Waite
South Australia
5064
Australia
Point of contact
CSIRO Agriculture and Food - Searle, Ross (Senior Experimental Scientist)
Waite Road, Waite, South Australia, 5064, Australia
Waite Road
Waite
South Australia
5064
Australia
Spatial resolution
- Spatial resolution
- 90
- Topic category
-
- Environment
- Geoscientific information
Extent
N
S
E
W
))
Temporal extent
- Time period
- 1950-01-01 2021-09-13
- 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)
-
- Soil
- Raster
- DSM
- Global Soil Map
- Spatial modelling
- 3-dimensional soil mapping
- 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
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia
Indooroopilly
Queensland
4068
Australia
- Distribution format
-
- OnLine resource
- Cloud Optimised GeoTIFFs - Silt, Release 2
- OnLine resource
- Landscape Data Visualiser - Silt, Release 2
- OnLine resource
-
SLGA Silt - v2
SLT_v2
- OnLine resource
-
SLGA Silt - v2
SLT_v2
- OnLine resource
- ro-crate-metadata.json
Distribution Information
Distributor
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
Data quality info
- Hierarchy level
- Dataset
- Other
- The models and the prediction uncertainties were assessed by an external validation dataset. Results were compared with Version 1 Soil and Landscape Grid of Australia (v1.SLGA) (Viscarra Rossel et al. 2015). All predictive and functional accuracy diagnostics demonstrate improvements compared with v1.SLGA. Improvements were noted for the sand and clay fraction mapping with average improvement of 3% and 2%, respectively, in the RMSE estimates. Marginal improvements were made for the silt fraction mapping, which was relatively difficult to predict.
- Title
- Malone, B., & Searle, R. (2021). Updating the Australian digital soil texture mapping (Part 2*): spatial modelling of merged field and lab measurements. Soil Research, 59(5), 435–451.
- Website
- https://doi.org/10.1071/SR20284
- Abstract
- Malone, B., & Searle, R. (2021). Updating the Australian digital soil texture mapping (Part 2*): spatial modelling of merged field and lab measurements. Soil Research, 59(5), 435–451.
Resource lineage
- Statement
- The approach, based on machine learning, predicts each soil texture fraction at 90 m grid cell resolution, at depths 0–5 cm, 5–15 cm, 15–30 cm, 30–60 cm, 60–100 cm and 100–200 cm. The approach accommodates uncertainty in converting field measurements to quantitative estimates of texture fractions. Existing methods of bootstrap resampling were exploited to predict uncertainties, which are expressed as 90% prediction intervals about the mean prediction at each grid cell. The models and the prediction uncertainties were assessed by an external validation dataset. Results were compared with Version 1 Soil and Landscape Grid of Australia (v1.SLGA) (Viscarra Rossel et al. 2015). All predictive and functional accuracy diagnostics demonstrate improvements compared with v1.SLGA. Improvements were noted for the sand and clay fraction mapping with average improvement of 3% and 2%, respectively, in the RMSE estimates. Marginal improvements were made for the silt fraction mapping, which was relatively difficult to predict. We also made comparisons with recently released World Soil Grid products (v2.WSG) and made similar conclusions.<br><br> All processing for the generation of these products was undertaken using the R programming language. R Core Team (2020).<br><br> 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
- Hierarchy level
- Dataset
- Title
- Soil Texture Mapping V2 Method Summary
- Website
-
https://aussoilsdsm.esoil.io/slga-version-2-products/soil-texture
Method documentation
- Title
- Malone, B., & Searle, R. (2021). Updating the Australian digital soil texture mapping (Part 1*): re-calibration of field soil texture class centroids and description of a field soil texture conversion algorithm. Soil Research, 59(5), 419–434.
- Website
-
https://doi.org/10.1071/SR20283
Method documentation
- Title
- Malone, B., & Searle, R. (2021). Updating the Australian digital soil texture mapping (Part 2*): spatial modelling of merged field and lab measurements. Soil Research, 59(5), 435–451.
- Website
-
https://doi.org/10.1071/SR20284
Method documentation
- Title
- R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.
- Website
-
https://www.R-project.org/.
Method documentation
- Title
- Soil and Landscape Grid National Soil Attribute Maps - Silt (3" resolution) - Release 1
- Website
-
https://data.csiro.au/collection/csiro:10688
Method documentation
Reference System Information
- Reference system identifier
- EPSG/EPSG:4326
- Reference system type
- Geodetic Geographic 2D
Metadata
- Metadata identifier
-
urn:uuid/11375f04-b5cd-46a7-bcac-0e83fcb58605
- 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/11375f04-b5cd-46a7-bcac-0e83fcb58605
Point-of-truth metadata URL
- Date info (Creation)
- 2021-08-10T00:00:00
- Date info (Revision)
- 2024-09-27T00:00:00
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
Overviews
thumbnail
Spatial extent
N
S
E
W
Provided by
Associated resources
Not available