FGARA Digital Soil Mapping Output - Soil Surface Texture

FGARA Digital Soil Mapping Output - Soil Surface Texture

Soil surface texture is one of 19 attributes of soils chosen to underpin the land suitability assessment of the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project through the digital soil mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of texture of the surface soil using descriptions fro... morem the Australian Soil and Land Survey Field Handbook (ASLSFH). This data is derived from measured site data and environmental covariates. The data is used in assessment of soil physical factors eg water infiltration, seedling establishment and machinery workability. Codes are: 1 Sandy, 2 Loamy, 3 Silty, 4 Clayey and the texture groupings behind these codes are supplied with the data. The attribute data file is named "TextureClasses.tif". Also included are data reflecting confidence of the main dataset. This file is named "Texture_CI.tif". "CI" represents "confusion index". The DSM process is described in the technical report: Bartley R, Thomas MF, Clifford D, Phillip S, Brough D, Harms D, Willis R, Gregory L, Glover M, Moodie K, Sugars M, Eyre L, Smith DJ, Hicks W and Petheram C (2013) Land suitability: technical methods. A technical report to the Australian Government for the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project, CSIRO. This raster data provides improved soil information to identify opportunities and promote detailed investigation for a range of sustainable development options and was created within the “Land Suitability” component of FGARA projects. less

Agricultural Land Management ;  Agricultural Land Planning ;  Agricultural Spatial Analysis and Modelling

https://doi.org/10.4225/08/53042B0A84CCF

01 Sep 2013

FGARA ;  soil surface texture ;  AGRICULTURE-Crops ;  AGRICULTURE-Irrigation ;  Australia ;  INDUSTRY-Primary ;  LAND-Use ;  Queensland ;  SOIL ;  Flinders catchment ;  Gilbert catchment ;  soil attributes ;  Digital Soil Mapping

This data has been created from a range of inputs and processing steps. Below is an overview. Broadly, the steps were to: 1. Collate existing data (data related to: climate, topography, soils, natural resources, remotely sensed etc of various formats; reports, spatial vector, spatial raster etc.). 2. Select additional soil and attribute site data by Latin hypercube statistical sampling method applied across the covariate space. 3. Carry out fieldwork to collect additional soil and attribute data and understand geomorphology and landscapes. 4. Build models from selected input data and covariate data using predictive learning via rule ensembles in the RuleFit3 software. 5. Create Soil Surface Texture Digital Soil Mapping (DSM) key attribute output data. DSM is the creation and population of a geo-referenced database, generated using field and laboratory observations, coupled with environmental data through quantitative relationships. It applies pedometrics - the use of mathematical and statistical models that combine information from soil observations with information contained in correlated environmental variables, remote sensing images and some geophysical measurements. Quality assessment of the attribute data is mapped spatially as a function of the model output by evaluating the rigour of the DSM attribute data using non-parametric bootstrapping of the DSM modelling. For more information refer to “Land suitability: technical methods. A technical report to the Australian Government for the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project”.

This work was prepared for the Office of Northern Australia in the Australian Government Department of Infrastructure and Regional Development under the North Queensland Irrigated Agriculture Strategy <http://www.regional.gov.au/regional/ona/nqis.aspx>. The Strategy is a collaborative initiative between the Office of Northern Australia, the Queensland Government and CSIRO. One part of the Strategy is the Flinders and Gilbert Agricultural Resource Assessment, which was led by CSIRO. Important aspects of the Assessment were undertaken by the Queensland Government and TropWATER (James Cook University).

CSIRO Data Licence

CSIRO (Australia), Office of Northern Australia (Australia), Queensland Department of Natural Resources and Mines (Australia), Queensland Department of Science, Information Technology, Innovation and the Arts (DSITIA) (Australia)

Bartley, Rebecca; Thomas, Mark; Clifford, David; Philip, Seonaid; Brough, Dan; Harms, Ben; Willis, Reanna; Gregory, Linda; Glover, Mark; Moodie, Keith; Sugars, Mark; Eyre, Lauren; Smith, Doug; Hicks, Warren; Petheram, Cuan (2013): FGARA Digital Soil Mapping Output - Soil Surface Texture. v2. CSIRO. Data Collection. https://doi.org/10.4225/08/53042B0A84CCF

All Rights (including copyright) CSIRO Australia 2013.

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