Soil and Landscape Grid National Soil Attribute Maps - Soil Depth (3" resolution) - Release 2
This is Version 2 of the Australian Soil Depth product of the Soil and Landscape Grid of Australia.<br></br>
It supersedes the Release 1 product that can be found at <a href=" https://doi.org/10.4225/08/546F540FE10AA "> https://doi.org/10.4225/08/546F540FE10AA </a><br></br>
The map gives a modelled estimate of the spatial distribution of soil depth in soils across Australia.<br></br>
<p>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>
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: Depth of soil profile (A & B horizons);</li>
<li>Units: metres;</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>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)
- 2019-09-01
- Date (Publication)
- 2022-10-28
- Date (Revision)
- 2024-08-06
- Edition
- 2.0
Identifier
Publisher
Author
Author
Collaborator
Collaborator
Collaborator
Collaborator
Collaborator
Collaborator
Collaborator
Collaborator
Collaborator
Collaborator
Collaborator
- Website
- https://www.tern.org.au/
- Purpose
- The map gives a modelled estimate of the spatial distribution of soil depth across Australia.<br> 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.<br>
- 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.<br>
- Status
- Completed
Point of contact
Spatial resolution
- Spatial resolution
- 90
- Topic category
-
- Environment
- Geoscientific information
Extent
![](https://geonetwork.tern.org.au:/geonetwork/srv/api/regions/geom.png?geomsrs=EPSG:4326&geom=POLYGON((153.999583334%20-44.000416667,153.999583334%20-10.000416666,112.999583333%20-10.000416666,112.999583333%20-44.000416667,153.999583334%20-44.000416667)))
Temporal extent
- Time period
- 1950-01-01 2019-09-01
- Title
- Malone, B., & Searle, R. (2020). Improvements to the Australian national soil thickness map using an integrated data mining approach. Geoderma, 377, 114579. https://doi.org/10.1016/J.GEODERMA.2020.114579
- Website
-
Malone, B., & Searle, R. (2020). Improvements to the Australian national soil thickness map using an integrated data mining approach. Geoderma, 377, 114579. https://doi.org/10.1016/J.GEODERMA.2020.114579
Related documentation
- Title
- Viscarra Rossel, R., Chen, C., Grundy, M., Searle, R., Clifford, D., Odgers, N., Holmes, K., Griffin, T., Liddicoat, C., & Kidd, D., (2014). Soil and Landscape Grid National Soil Attribute Maps - Soil Depth (3" resolution) - Release 1. CSIRO. Data Collection. https://doi.org/10.4225/08/546F540FE10AA
- 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
- Soil
- TERN
- Raster
- Attribute
- Soil Depth
- Continental
- 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
Resource constraints
- Classification
- Unclassified
Distribution Information
Distributor
Distributor
- Distribution format
-
- OnLine resource
- Cloud Optimised GeoTIFFs - Soil Depth, Release 2
- OnLine resource
- Landscape Data Visualiser - Soil Depth, Release 2
- OnLine resource
-
SLGA Depth of Soil - v2
DES_v2
- OnLine resource
-
SLGA Depth of Soil - v2
DES_v2
- OnLine resource
- ro-crate-metadata.json
Distribution Information
Distributor
Distributor
- Distribution format
-
- OnLine resource
- File Naming Convention
Resource lineage
- Statement
- Rather than fitting a single model of soil thicknesses we went for a nuanced approach which entailed three separate models for:<br><br> Model 1. Predicting the occurrence of rock outcrops.<br> Model 2. Predicting the thickness of soils within the 0-2 m range.<br> Model 3. Predicting the occurrence of deep soils (soils greater than 2 m thick).<br><br> Models 1 and 3 used the categorical model variant of the Ranger RF which was preceded by distinguishing; for Model 1, the observations that were deemed as rock outcrops from soils. And for Model 3, distinguishing soils that were less than 2 m thick (and not rock outcrops) from soils greater than 2 m thick. Ultimately both Models 1 and 3 were binary categorical models. 50 repeats of 5-fold CV (cross-validation) iterations of the Ranger RF model were run for each Model variant.<br><br> Model 2 used the regression form of the random forest model. After removing from the total data set the observations that were regarded as rock outcrops and soil greater than 2 m, there were 111,302 observations available. Of these, 67,698 had explicitly defined soil thickness values. The remaining 43,604 were right-censored data and were treated as follows. For each repeated 5-fold iteration, prior to splitting the data in calibration and validation datasets, values from a beta function were drawn at random of length 43,604. This value (between 0 and 1) was multiplied by the censored value soil thickness and then added to this same value, creating a simulated pseudo-soil thickness. Once the simulated data were combined with actual soil thickness data, the values were square-root transformed to approximate a normal distribution. Ranger RF modelling proceeded after optimising the Hyperparameter settings as described above for the categorical modelling. Like the categorical modelling, 50 repeated 5-fold CV iterations were computed.<br><br> All three model approaches were integrated via a simple ‘if-then’ pixel-based procedure. At each pixel, if Model 1 indicated the presence of rock outcrops 45 times or more out of 50 (90% of resampling iterations), the estimated soil thickness was estimated as rock outcrop, or effectively 0 cm. Similarly, for Model 3 which was the model based on prediction of deep soils (soils >2 m deep). In no situations did we encounter both Models 1 and 3 predict in the positive on 90% or more occasions simultaneously. If Model 1 or 3 did not predict in the positive in 90% of iterations, the prediction outputs of Model 2 were used.<br><br> After model integration, we derived a set of soil thickness exceedance probability mapping outputs. These were derived simply by assessing the empirical probabilities (at each pixel) and then tallying the number of occasions the estimated soil depth exceeded given threshold depths of 10 cm, 50 cm, 100 cm, and 150 cm. This tallied number was divided by 50 to give an exceedance probability for each threshold depth.<br><br> All processing for the generation of these products was undertaken using the R programming language (R Core Team, 2020).</li> <ul style="list-style-type: disc;"><li>Code - https://github.com/AusSoilsDSM/SLGA</li> <li>Observation data - https://esoil.io/TERNLandscapes/Public/Pages/SoilDataFederator/SoilDataFederator.html</li> <li>Covariate rasters - https://esoil.io/TERNLandscapes/Public/Pages/SLGA/GetData-COGSDataStore.html</li>
- Hierarchy level
- Dataset
- Title
- Methods Summary - Soil Thickness
- Website
-
https://aussoilsdsm.esoil.io/slga-version-2-products/soil-thickness
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
Reference System Information
- Reference system identifier
- EPSG/EPSG:4326
- Reference system type
- Geodetic Geographic 2D
Metadata
- Metadata identifier
-
urn:uuid/fa8f70ba-4134-4678-b5f6-e51d0628c35d
- 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/fa8f70ba-4134-4678-b5f6-e51d0628c35d
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
Overviews
Spatial extent
![](https://geonetwork.tern.org.au:/geonetwork/srv/api/regions/geom.png?geomsrs=EPSG:4326&geom=POLYGON((153.999583334%20-44.000416667,153.999583334%20-10.000416666,112.999583333%20-10.000416666,112.999583333%20-44.000416667,153.999583334%20-44.000416667)))
Provided by
![](https://geonetwork.tern.org.au:/geonetwork/srv/../images/logos/daf929f6-04fe-461c-acab-2be1f7001589.png)