TERN Geospatial Catalogue
Soil and Landscape Grid National Soil Attribute Maps - Coarse Fragments (3" resolution) - Release 1
This is Version 1 of the Soil Coarse Fragments product of the Soil and Landscape Grid of Australia.
The Soil and Landscape Grid of Australia has produced a range of digital soil attribute products. This product contains six digital soil attribute maps for each of three depth intervals, 0-5cm, 5-15cm, 15-30cm These depths are consistent with the specifications of the GlobalSoilMap.net project http://www.globalsoilmap.net/. The digital soil attribute maps are in raster format at a resolution of 3 arc sec (~90 x 90 m pixels).
These maps are generated using Digital Soil Mapping methods
Attribute Definition: Soil Coarse Fragments Class Probabilities as defined in the Australian Soil and Land Survey Field Handbook
Units: Probability of CF class occurring;
Period (temporal coverage; approximately): 1950-2022;
Spatial resolution: 3 arc seconds (approx 90m);
Total number of gridded maps for this attribute: 18;
Number of pixels with coverage per layer: 2007M (49200 * 40800);
Total size before compression: about 8GB;
Total size after compression: about 4GB;
Data license : Creative Commons Attribution 4.0 (CC BY);
Format: Cloud Optimised GeoTIFF.
Simple
Identification info
- Date (Creation)
- 2022-10-06
- Date (Publication)
- 2022-12-18
- Date (Revision)
- 2014-07-14
- Edition
- 1.0
Identifier
Publisher
Author
Sydney Institute of Agriculture, University of Sydney - Dobarco, Mercedes ()
380 Werombi Road, Camden, NSW, 2570, Australia
Camden
NSW
2570
Australia
Co-author
Sydney Institute of Agriculture, University of Sydney - Wadoux, Alexandre ()
380 Werombi Road, Camden, NSW, 2570, Australia
Camden
NSW
2570
Australia
Co-author
Sydney Institute of Agriculture, University of Sydney - Malone, Brendan ()
380 Werombi Road, Camden, NSW, 2570, Australia
Camden
NSW
2570
Australia
Co-author
Sydney Institute of Agriculture, University of Sydney - Minasny, Budiman ()
380 Werombi Road, Camden, NSW, 2570, Australia
Camden
NSW
2570
Australia
Co-author
Sydney Institute of Agriculture, University of Sydney - McBratney, Alex (Director - Sydney Institute of Agriculture, Professor of Digital Agriculture & Soil Science)
380 Werombi Road, Camden, NSW, 2570, Australia
Camden
NSW
2570
Australia
Co-author
CSIRO Agriculture and Food - Searle, Ross (Senior Experimental Scientist)
306 Carmody Road, St Lucia, Queensland, 4067, Australia
St Lucia
Queensland
4067
Australia
- Website
- https://www.tern.org.au/
- Purpose
- The map gives a modelled estimate of the spatial distribution of Soil Coarse Fragments Class Probabilities as defined in the Australian Soil and Land Survey Field Handbook 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
- The observed data used to produce this map was obtained from state and federal soil survey agencies. The work was supported by TERN. CSIRO maintains and makes the data through the Australian Soil Resource Information System.
- Status
- Completed
Point of contact
Sydney Institute of Agriculture, University of Sydney - Dobarco, Mercedes ()
380 Werombi Road, Camden, NSW, 2570, Australia
380 Werombi Road
Camden
NSW
2570
Australia
Spatial resolution
- Spatial resolution
- 90
- Topic category
-
- Environment
- Geoscientific information
Extent
N
S
E
W
))
Temporal extent
- Time period
- 1950-01-01 2022-10-06
- Title
- Improvements to the Australian national soil thickness map using an integrated data mining approach (2020)
- Website
-
Improvements to the Australian national soil thickness map using an integrated data mining approach (2020)
Related documentation
- Maintenance and update frequency
- Not planned
- GCMD Science Keywords
- ANZSRC Fields of Research
- TERN Parameter Vocabulary
- GCMD Horizontal Resolution Ranges
- GCMD Temporal Resolution Ranges
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 /><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 /><br />Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.
Resource constraints
- Classification
- Unclassified
- Environment description
- All processing for the generation of these products was undertaken using the R programming language. R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/. 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
Distribution Information
Distributor
Distributor
Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd, Indooroopilly, QLD, Australia, 4068
Indooroopilly
QLD
4068
Australia
- OnLine resource
- TERN DataStore
Data quality info
- Hierarchy level
- Dataset
- Abstract
- PlaceHolder Text = Name of the report
Resource lineage
- Statement
- Data on the abundance of coarse fragments (particles > 2 mm) and gravimetric content (% weight) were extracted with using the the Terrestrial Ecosystem Research Network (TERN) Soil Data Federator- https://esoil.io/TERNLandscapes/Public/Pages/SoilDataFederator/SoilDataFederator.html managed by CSIRO (Searle et al., 2021). The Soil Data Federator is a web API that compiles soil data from various institutions and government agencies throughout Australia. The abundance (% volume) is assessed visually in the field as part of the soil profile description using standards described in the Australian Soil and Land Survey field Handbook (National Committee on Soils and Terrain , 2009). The abundance of rock fragments per soil horizon on the cut surface of the soil profile surface of the soil horizon occupied by coarse fragments was grouped into six categories: very few (0-2 %), few (2-10 %), common (2-20 %), many (20-50 %), abundant (50-90 %) and very abundant (> 90%). The gravimetric content (% mass) is measured in the laboratory as percent mass of coarse fragments (particles > 2 mm) from the whole soil. Here, we take the profile surface abundance of coarse fragments as a proxy for volumetric coarse fragments (CFVol). The data was cleaned and processed to exclude duplicates and wrong data entries (e.g., missing values). The observations of CFVol (%) were converted into GlobalSoilMap depth intervals with the slab function of the aqp R package (Beaudette et al., 2021), assigning the most probable class to each depth interval. The gravimetric coarse fragments were also standardized to the GlobalSoilMap depth intervals with equal-area quadratic splines (Bishop et al., 1999). Observations of gravimetric coarse fragment content (CF_Weight) were transformed into volumetric with the equation: CF_Vol (%)=Vol_CF/Vol_WhSoil (Weight_CF / ρ_CF)/(Weight_WhSoil / ρ_WhSoil )=(CF_Weight×ρ_WhSoil)/ρ_CF, Where where ρ_WhSoil is the bulk density prediction for bulk soil from SLGA (Viscarra Rossel et al., 2014), ρ_CF is assumed to be 2.65 g cm-3 (Hurlbut and Klein (1977) in Mckenzie et al. (2002) and CF_Vol is the volumetric coarse fragment content (continuous),which was assigned to the corresponding class. This resulted in CFVol observations for 110,308 locations. Mapping was produces using quantile regression forest fitted with the observed coarse fragments class data and a large set of environmental variables as predictors. 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 Coarse Fragments
- Website
-
https://aussoilsdsm.esoil.io/slga-version-2-products/soc-fractions
Method documentation
Reference System Information
- Reference system identifier
- EPSG/EPSG:4326
- Reference system type
- Geodetic Geographic 2D
Metadata
- Metadata identifier
-
urn:uuid/4dd5ced8-4116-45ad-bfb1-ec4b8ad375a0
- 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/4dd5ced8-4116-45ad-bfb1-ec4b8ad375a0
Point-of-truth metadata URL
- Date info (Creation)
- 2021-08-10T00:00:00
- Date info (Revision)
- 2022-12-18T00:00:00
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