TERN Geospatial Catalogue
Soil and Landscape Grid Digital Soil Property Maps for Tasmania (3" resolution)
These are the soil attribute products of the Tasmanian Soil Attribute Grids. There are 8 soil attribute products available from the TERN Soil Facility. Each soil attribute product is a collection of 6 depth slices. Each depth raster has an upper and lower uncertainty limit raster associated with it. The depths provided are 0-5cm, 5-15cm, 15-30cm, 30-60cm, 60-100cm & 100-200cm, consistent with the Specifications of the GlobalSoilMap.
Attributes: pH - Water (pHw); Electical Conductivity dS/m (ECD); Clay % (CLY); Sand % (SND); Silt % (SLT); Bulk Density - Whole Earth Mg/m3 (BDw); Organic Carbon % (SOC); Coarse Fragments >2mm (CFG).
These products were developed using datasets held by the Tasmanian Department of Primary Industries Parks Water & Environment (DPIPWE) Soils Database. The mapping was made by using spatial modelling and digital soil mapping (DSM) techniques to produce a fine resolution 3 arc-second grid of soil attribute values and their uncertainties, across all of Tasmania.
Note: Previous versions of this collection contained a Depth layer. This has been removed as the units do not comply with Global Soil Map specifications.
Simple
Identification info
- Date (Publication)
- 2018-03-19
- Date (Revision)
- 2018-03-19
- Edition
- v4
Publisher
Commonwealth Scientific and Industrial Research Organisation
26 Dick Perry Avenue, Kensington, Western Australia,
6151, Australia
Kensington
Western Australia
6151
Australia
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, New South Wales, 2570, Australia
Camden
New South Wales
2570
Australia
Author
Commonwealth Scientific and Industrial Research Organisation - Malone, Brendan
Clunies Ross Street, Black Mountain, 2601, Australian Capital Territory, Australia
Black Mountain
Australian Capital Territory
2601
Australia
Author
Sydney Institute of Agriculture, University of Sydney - Minasny, Budiman
380 Werombi Road, Camden, New South Wales, 2570, Australia
Camden
New South Wales
2570
Australia
Author
Department of Primary Industries, Parks, Water and Environment, Tasmanian Government - Kidd, Darren
59 Liverpool Street, Hobart, Tasmania, 7000, Australia
Hobart
Tasmania
7000
Australia
Author
Australian National University - Webb, Matthew
10 East Road, Acton, 2601, Australian Capital Territory, Australia
Acton
Australian Capital Territory
2601
Australia
Identifier
- Keywords (Discipline)
-
- TERN_Soils
- Soil
- TERN
- Raster
- Attributes
- Tasmania
- DSM
- Global Soil Map
- spatial modelling
- 3-dimensional soil mapping
- spatial uncertainty
- Bulk Density
- Bulk Density - Whole Earth
- Clay
- Coarse Fragments
- Electrical Conductivity
- Organic Carbon
- pH - Water
- Sand
- Silt
- BD
- EC
- pH
- SLGA
- ANZSRC Fields of Research
Extent
N
S
E
W
))
Temporal extent
- Time period
- 1947-01-01 2014-09-30
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
- Data is accessible online and may be reused in accordance with licence conditions
Resource constraints
- Classification
- Unclassified
- Credit
- All Rights (including copyright) CSIRO, Tasmania Department Primary Industries, Parks, Water and Environment 2014.
- Title
- Browse all Soil and Landscape Grid of Australia Digital Soil Property Maps
- Website
-
Browse all Soil and Landscape Grid of Australia Digital Soil Property Maps
Browse all Soil and Landscape Grid of Australia Digital Soil Property Maps
- Title
- Browse all Soil and Landscape Grid of Australia collections
- Website
-
Browse all Soil and Landscape Grid of Australia collections
Browse all Soil and Landscape Grid of Australia collections
- Title
- File Naming Conventions
- Website
-
File Naming Conventions
File Naming Conventions
Distribution Information
Distributor
Distributor
Commonwealth Scientific and Industrial Research Organisation
26 Dick Perry Avenue, Kensington, Western Australia,
6151, Australia
Kensington
Western Australia
6151
Australia
- Distribution format
-
- OnLine resource
- http://hdl.handle.net/102.100.100/16128?index=1
Resource lineage
- Statement
- The soil attribute maps are generated using spatial modelling and digital soil mapping techniques. Soil inventory: Tasmanian soil site data originates from the DPIPWE soils database, a compilation of various historical soil surveys undertaken by DPIPWE, CSIRO, Forestry Tasmania and the University of Tasmania. This database contains morphological and laboratory data for all the soil sites. Data Modelling : A raster stack of all covariates was generated and the target variable (each soil property and depth) individually intersected with the covariate values to provide the calibration and validation data. All modelling was undertaken in ‘R’ (R Development Core Team 2012), using Regression tree (RT), specifically the Cubist R package (Kuhn, Weston et al. 2012; Kuhn, Weston et al. 2013; Quinlan 2005). The RT approach is a popular modelling approach for many disciplines (Breiman, Friedman et al. 1984), and has been widely used with DSM (Grunwald 2009; Kidd, Malone et al. 2014; McKenzie and Ryan 1999). Cubist develops the regression trees by first applying a data mining-approach to partition the calibration and explanatory covariate values into a set of structured ‘classifier’ data. The tree structure is developed by repeatedly partitioning the data into linear models until no significant measure of difference in the calibration data is determined (McBratney, Mendonça Santos et al. 2003). A series of covariate-based rules (conditions) is developed, and the linear model corresponding to the covariate conditions is applied to produce the final modelled surface. For this modelling exercise, the number of rules was set within the model controls to let the Cubist algorithm decide upon the optimum number of rules to generate. Uncertainty Leave-one-out-cross-validation (LOOCV) was applied to the Cubist model to generate rule-based uncertainties, using only those covariates forming the conditional partitioning of that rule, following Malone et al (2014). The LOOCV, applied to an individual Cubist model for each rule, effectively produced a mean value for each RT partition, with the upper and lower 5 and 95% quantiles of the prediction variation providing the lower and upper prediction uncertainty values respectively, at the 90% Prediction Interval (PI). A 10-fold cross validation was used to run this process 10 times across all data to produce mean modelling diagnostics and validations, and reduce modelling bias due to sensitivity to training data variance.
- Hierarchy level
- Dataset
Reference System Information
- Reference system identifier
- EPSG/EPSG:4326
- Reference system type
- Geodetic Geographic 2D
Metadata
- Metadata identifier
-
urn:uuid/97ff7d6b-8376-587d-96ed-ccb29c6c93b7
- Title
- TERN GeoNetwork UUID - Commonwealth Scientific and Industrial Research Organisation
- 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/97ff7d6b-8376-587d-96ed-ccb29c6c93b7
Point of truth URL of this metadata record
- Date info (Creation)
- 2018-03-19T15:02:36+11:00
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