Soil and Landscape Grid National Soil Attribute Maps - Depth of Regolith (3" resolution) - Release 2
This is Version 2 of the Depth of Regolith product of the Soil and Landscape Grid of Australia (produced 2015-06-01).<br><br>
The Soil and Landscape Grid of Australia has produced a range of digital soil attribute products. The digital soil attribute maps are in raster format at a resolution of 3 arc sec (~90 x 90 m pixels).<br><br>
<ul style="list-style-type: disc;"><li>Attribute Definition: The regolith is the in situ and transported material overlying unweathered bedrock;</li>
<li>Units: metres;</li>
<li>Spatial prediction method: data mining using piecewise linear regression;</li>
<li>Period (temporal coverage; approximately): 1900-2013;</li>
<li>Spatial resolution: 3 arc seconds (approx 90 m);</li>
<li>Total number of gridded maps for this attribute: 3;</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>Variance explained (cross-validation): R^2 = 0.38;</li>
<li>Target data standard: GlobalSoilMap specifications;</li>
<li>Format: Cloud Optimised GeoTIFF;</li></ul>
Simple
Identification info
- Date (Creation)
- 2015-06-01
- Date (Publication)
- 2015-07-29
- Date (Revision)
- 2024-09-23
- Edition
- 2
Identifier
Publisher
Author
Geoscience Australia - Wilford, John ()
101 Jerrabomberra Avenue, Symonston, 2609, Australian Capital Territory, Australia
Symonston
Australian Capital Territory
2609
Australia
Author
Commonwealth Scientific and Industrial Research Organisation - Searle, Ross (Senior Experimental Scientist)
Building 101, Clunies Ross Street, Black Mountain, 2601, Australian Capital Territory, Australia
Black Mountain
Australian Capital Territory
2601
Australia
Author
Commonwealth Scientific and Industrial Research Organisation - Thomas, Mark ()
Building 101, Clunies Ross Street, Black Mountain, 2601, Australian Capital Territory, Australia
Black Mountain
Australian Capital Territory
2601
Australia
Author
Commonwealth Scientific and Industrial Research Organisation - Grundy, Mike (Research Director – Soil and Landscapes)
Building 101, Clunies Ross Street, Black Mountain, 2601, Australian Capital Territory, Australia
Black Mountain
Australian Capital Territory
2601
Australia
Collaborator
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
Collaborator
Geoscience Australia
101 Jerrabomberra Avenue, Symonston, 2609, Australian Capital Territory, Australia
Symonston
Australian Capital Territory
2609
Australia
Funder
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
Funder
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia
Indooroopilly
Queensland
4068
Australia
Funder
Australian Government
17 Sir Thomas Blamey Square, Russell, 2600, Australian Capital Territory, Australia
Russell
Australian Capital Territory
2600
Australia
- Website
- https://www.tern.org.au/
- Purpose
- The Soil and Landscape Grid of Australia is a comprehensive fine spatial resolution grid of functional soil attributes and key landscape features across Australia. The landscape attributes are derived from the data collected by the Shuttle Radar Topography Mission, whilst the soil attribute surfaces are modelled from existing soils information. These surfaces provide a consistent base upon which a broad range of analyses can be conducted. This provides essential information, not previously available, that is needed for modelling and managing Australian landscapes and ecosystems.
- 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>
- Status
- Completed
Point of contact
Commonwealth Scientific and Industrial Research Organisation - Searle, Ross (Senior Experimental Scientist)
Building 101, Clunies Ross Street, Black Mountain, 2601, Australian Capital Territory, Australia
Building 101, Clunies Ross Street
Black Mountain
Australian Capital Territory
2601
Australia
Spatial resolution
- Spatial resolution
- 90
- Topic category
-
- Environment
- Geoscientific information
Extent
- Description
- Australia
N
S
E
W
))
Temporal extent
- Time period
- 1900-01-01 2013-12-31
- 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
- Continental DSM
- Global Soil Map
- Spatial modelling
- 3-dimensional soil mapping
- Soil Maps
- Digital Soil Mapping
- SLGA
- DSM
- visible-near infrared spectroscopy
- spatial uncertainty
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
- Other constraints
- Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.
- Other constraints
- All Rights (including copyright) CSIRO 2015.
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 - Depth of Regolith, Release 2
- OnLine resource
- Landscape Data Visualiser - Depth of Regolith, Release 2
- OnLine resource
-
SLGA Depth of Regolith - v2
DER_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
Resource lineage
- Statement
- The methodology consisted of the following steps: (i) drillhole data preparation, (ii) compilation and selection of the environmental covariate raster layers and (iii) model implementation and evaluation.<br><br> Drillhole data preparation:<br> Drillhole data was sourced from the National Groundwater Information System (NGIS) database. This spatial database holds nationally consistent information about bores that were drilled as part of the Bore Construction Licensing Framework (http://www.bom.gov.au/water/groundwater/ngis/). The database contains 357,834 bore locations with associated lithology, bore construction and hydrostratigraphy records. This information was loaded into a relational database to facilitate analysis.<br><br> Regolith depth extraction:<br> The first step was to recognise and extract the boundary between the regolith and bedrock within each drillhole record. This was done using a key word look-up table of bedrock or lithology related words from the record descriptions. 1,910 unique descriptors were discovered. Using this list of new standardised terms analysis of the drillholes was conducted, and the depth value associated with the word in the description that was unequivocally pointing to reaching fresh bedrock material was extracted from each record using a tool developed in C# code.<br><br> The second step of regolith depth extraction involved removal of drillhole bedrock depth records deemed necessary because of the “noisiness” in depth records resulting from inconsistencies we found in drilling and description standards indentified in the legacy database.<br><br> On completion of the filtering and removal of outliers the drillhole database used in the model comprised of 128,033 depth sites.<br><br> Selection and preparation of environmental covariates<br> The environmental correlations style of DSM applies environmental covariate datasets to predict target variables, here regolith depth. Strongly performing environmental covariates operate as proxies for the factors that control regolith formation including climate, relief, parent material organisms and time.<br><br> Depth modelling was implemented using the PC-based R-statistical software (R Core Team, 2014), and relied on the R-Cubist package (Kuhn et al. 2013). To generate modelling uncertainty estimates, the following procedures were followed: (i) the random withholding of a subset comprising 20% of the whole depth record dataset for external validation; (ii) Bootstrap sampling 100 times of the remaining dataset to produce repeated model training datasets, each time. The Cubist model was then run repeated times to produce a unique rule set for each of these training sets. Repeated model runs using different training sets, a procedure referred to as bagging or bootstrap aggregating, is a machine learning ensemble procedure designed to improve the stability and accuracy of the model. The Cubist rule sets generated were then evaluated and applied spatially calculating a mean predicted value (i.e. the final map). The 5% and 95% confidence intervals were estimated for each grid cell (pixel) in the prediction dataset by combining the variance from the bootstrapping process and the variance of the model residuals. Version 2 differs from version 1, in that the modelling of depths was performed on the log scale to better conform to assumptions of normality used in calculating the confidence intervals. The method to estimate the confidence intervals was improved to better represent the full range of variability in the modelling process. (Wilford et al, in press)
- Hierarchy level
- Dataset
- Title
- Kuhn, M., Weston, S., Keefer, C., Coulter, N., Quinlan, R. (2013). Package ‘Cubist’: rule- and instance-based regression modelling.
- Website
-
http://cran.r-project.org/web/packages/Cubist/Cubist.pdf
Method documentation
- Title
- Team, R. C. (2014). R: A language and environment for statistical computing. 1(1).
- Website
-
https://www.r-project.org/
Method documentation
- Title
- Wilford, J., & Thomas, M. (2013). Predicting regolith thickness in the complex weathering setting of the central Mt Lofty Ranges, South Australia. Geoderma, 206, 1–13.
- Website
-
https://doi.org/10.1016/j.geoderma.2013.04.002
Method documentation
Reference System Information
- Reference system identifier
- EPSG/EPSG:4326
- Reference system type
- Geodetic Geographic 2D
Metadata
- Metadata identifier
-
urn:uuid/b078fbe6-daac-4b16-a733-103d758f4554
- 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/b078fbe6-daac-4b16-a733-103d758f4554
Point-of-truth metadata URL
- Date info (Creation)
- 2024-09-02T00:00:00
- Date info (Revision)
- 2024-09-23T00:00:00
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
Spatial extent
N
S
E
W
Provided by
Associated resources
Not available