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Land suitability for Sweet Corn for the FGARA project

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About this Collection

Land suitability for Sweet Corn for the FGARA project


This land suitability for Sweet Corn raster data (in GeoTIFF format) represents areas of potential suitability for this crop and its specific irrigation management systems in the Flinders and Gilbert catchments of North Queensland. The data is coded 1-5: 1 - Suitable with no limitations; 2 - Suitable with minor limitations; 3 - Suitable with mo... more


Agricultural Land Management Agricultural Land Planning Agricultural Spatial Analysis and Modelling


https://doi.org/10.4225/08/5304225EB9C1B


01 Sep 2013


CSIRO Enquiries
CSIROEnquiries@csiro.au
1300 363 400

FGARA Sweet Corn AGRICULTURE-Crops AGRICULTURE-Irrigation Australia INDUSTRY-Primary LAND-Use Queensland SOIL Flinders catchment Gilbert catchment land suitability


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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.

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Confidence of suitability data for the FGARA project

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Browse other FGARA datasets

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Flinders and Gilbert Agricultural Resource Assessment website

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North Queensland Irrigated Agriculture Strategy website


These suitability raster data for Sweet Corn and its individual irrigation management systems have been created from a range of inputs and processing steps. Below is an overview. For more information refer to the CSIRO FGARA published reports and in particular: 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. 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 Digital Soil Mapping (DSM) key attributes 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. 6. Choose land management options and create suitability rules for DSM attributes. 7. Run suitability rules to produce limitation datasets using a modification on the FAO methods. 8. Create final suitability data for all land management options. Two companion datasets exist for this dataset. The first is linked to in the “related materials” section of this metadata record, entitled “Confidence of suitability data for the FGARA project”. The second (held by CSIRO Land and Water) includes expert opinion and knowledge about landscape processes or conditions that will influence agricultural development potential in these catchments, but were not captured sufficiently in the modelling process (and areas of expert opinion where the Mahanabolis method underestimates confidence). The two landscape features that require special attention are the basalt rock outcrops in the Upper Flinders catchment that were not well captured by the covariate data, and the secondary salinisation hazard in the central Flinders catchment. For more information refer to the report “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): Land suitability for Sweet Corn for the FGARA project. v2. CSIRO. Data Collection. https://doi.org/10.4225/08/5304225EB9C1B


All Rights (including copyright) CSIRO Australia 2013.


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

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Location Details

16°0′0″ S


22°0′0″ S


145°0′0″ E


139°41′60″ E


WGS84


More about this Collection

Linda Gregory


Research Projects Officer





Raster




eng


utf8


Geoscientific Information


About this Project

1211.1 Gulf Agricultural Resource Assess


The Flinders and Gilbert catchments in north Queensland have been identified as potential areas for further agricultural development. The Flinders and Gilbert Agricultural Resource Assessment (the Assessment) provides a comprehensive and integrated evaluation of the feasibility, economic viability and sustainability of agricultural development in t... more


Cuan Petheram


Land suitability assessment


Digital soil attribute layers were used to determine the area of land suitable for irrigated agricultural production in the Flinders and Gilbert catchments of north Queensland. Land suitability is the fitness of a given area for a land utilisation type, commonly expressed as a set of discrete classes numbered from Class 1 (completely suited) to Cl... more


Modelling


Rebecca Bartley


Mark Thomas


David Clifford


Seonaid Philip


Dan Brough


Ben Harms


Reanna Willis


Linda Gregory


Mark Glover


Keith Moodie


Mark Sugars


Lauren Eyre


Doug Smith


Warren Hicks


Cuan Petheram


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