Processing...

Soil and Landscape Grid Digital Soil Property Maps for Tasmania (3" resolution)

Tools Click here to view this collection in the new DAP user interface

show summary fields  |   show all    
Tools



About this Collection

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, 3... more


Soil Sciences not elsewhere classified


https://doi.org/10.4225/08/5aaf364c54cc8


01 Jan 1947


30 Sep 2014


CSIRO Enquiries
CSIROEnquiries@csiro.au
1300 363 400

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


:

Browse all Soil and Landscape Grid of Australia Digital Soil Property Maps

:

Browse all Soil and Landscape Grid of Australia collections

:

File Naming Conventions


Metadata_References.html


Attributes.html


Download_Options.html


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.


DPIPWE, CSIRO Land & Water, ACLEP (Australian Collaborative Land Evaluation Program), University of Sydney.


Creative Commons Attribution 4.0 International Licence


CSIRO (Australia), Tasmania Department Primary Industries, Parks, Water and Environment (Australia), University of Sydney (Australia)


Kidd, Darren; Webb, Mathew; Malone, Brendan; Minasnay, Budiman; McBratney, Alex (2014): Soil and Landscape Grid Digital Soil Property Maps for Tasmania (3" resolution). v4. CSIRO. Data Collection. https://doi.org/10.4225/08/5aaf364c54cc8


All Rights (including copyright) CSIRO, Tasmania Department Primary Industries, Parks, Water and Environment 2014.


The metadata and files (if any) are available to the public.

show all

Location Details

39°22′40.5″ S


43°42′22.5″ S


148°39′1.5″ E


143°44′4.5″ E


WGS84


More about this Collection

Peter Wilson


Research Scientist


-2 m




Raster




eng


UTF8


Environment


About this Project

1181.2 TERN Facility No9 InfoGrid GRUNDY


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. The... more


Mike Grundy


National Soil Grid


The Soil and Landscape Grid of Australia Facility has produced a comprehensive fine-resolution grid of soil attributes and important land surface parameters. The data is consistent with the Specifications of the GlobalSoilMap and is managed as part of the Australian Soil Resource Information System (ASRIS). There are a range of soil attribute produ... more


Modelling


Darren Kidd


Mathew Webb


Brendan Malone


Budiman Minasnay


Alex McBratney


Similar collections

  • Soil and Landscape Grid National Soil Attribute Maps - Sand (3" resolution) - Release 1....
    view
  • Soil and Landscape Grid Digital Soil Property Maps for Western Australia (3" resolution)....
    view
  • Soil and Landscape Grid Digital Soil Property Maps for South Australia (3" resolution)....
    view
  • Soil and Landscape Grid Australia-Wide 3D Soil Property Maps (3" resolution) - Release 1....
    view

Others were also interested in

  • Soil and Landscape Grid National Soil Attribute Maps - pH - CaCl2 (3" resolution) - Release 1....
    view
  • Soil and Landscape Grid National Soil Attribute Maps - Soil Depth (3" resolution) - Release 1....
    view
  • Soil and Landscape Grid Digital Soil Property Maps for Western Australia (3" resolution)....
    view
  • Relief - Elevation Range over 1000 m derived from 1" SRTM DEM-S....
    view