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Versatile agricultural land spatial datasets of the Fitzroy catchment WA, Darwin catchments and Mitchell catchment Qld generated by the Northern Australia Water Resource Assessment

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About this Collection

Versatile agricultural land spatial datasets of the Fitzroy catchment WA, Darwin catchments and Mitchell catchment Qld generated by the Northern Australia Water Resource Assessment


This versatile agricultural land data is a collection of raster datasets used to provide a synopsis of the individual land suitability data of the 126 crops and their specific irrigation management systems and seasons generated by the Northern Australia Water Resource Assessment (NAWRA). Five datasets are presented for each of the NAWRA catchments.... more


Agricultural Spatial Analysis and Modelling


https://doi.org/10.25919/5b8f3a83c9f2f


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NAWRA Fitzroy catchment (Western Australia) Darwin catchments (Northern Territory) Mitchell catchment (Queensland) Regional development Agriculture, Irrigation Land suitability Agriculture, crops Primary Industry Good quality agricultural land Flood irrigation Trickle irrigation Spray irrigation


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Attribution

These versatile agricultural land raster datasets have been generated from a range of inputs and processing steps. Following is an overview. For more information refer to the CSIRO NAWRA published reports and in particular 'Land suitability of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment, part of the National Water Infrastructure Development Fund: Water Resource Assessments, CSIRO, Australia'. 1. Collated existing data (relating to: soils, climate, topography, natural resources, remotely sensed, of various formats: reports, spatial vector, spatial raster etc). 2. Selection of additional soil and land attribute site data locations by a conditioned Latin hypercube statistical sampling method applied across the covariate data space. 3. Fieldwork was carried out to collect new attribute data, soil samples for analysis and build an understanding of geomorphology and landscape processes. 4. Database analysis was performed to extract the data to specific selection criteria required for the attribute to be modelled. 5. The R statistical programming environment was used for the attribute computing. Models were built from selected input data and covariate data using predictive learning from a Random Forest approach implemented in the ranger R package. 6. Create Digital Soil Mapping (DSM) attributes raster datasets. DSM data is a geo-referenced dataset, generated from field observations and laboratory data, coupled with environmental covariate 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. 7. Land management options were chosen and suitability rules created for DSM attributes. 8. Suitability rules were run to produce limitation subclass datasets using a modification on the FAO methods. 9. Final suitability data created for all land management options. 10. Companion predicted reliability data was produced. 11. QA. 12. Select the 14 land management options for each catchment in consultation with the agricultural viability activity. 13. Calculate the versatile agricultural land datasets


The Australian Government commissioned CSIRO to complete the Northern Australia Water Resource Assessment (NAWRA) - an initiative of the Australian Government’s White Paper on Developing Northern Australia and the Agricultural Competitiveness White Paper, the government’s plan for stronger farmers and a stronger economy. Aspects of the Assessment were undertaken in conjunction with the Northern Territory Government, the Western Australian Government, and the Queensland Government.


Creative Commons Attribution 4.0 International Licence


CSIRO (Australia), Western Australia Department of Agriculture and Food (Australia), Northern Territory Department of Land Resource Management (Australia), Queensland Department of Natural Resources and Mines (Australia), Queensland Department of Environment and Science (Australia)


Thomas, Mark; Gregory, Linda; Harms, Ben; Hill, Jason; Morrison, David; Philip, Seonaid; Searle, Ross; Smolinski, Henry; van Gool, Dennis; Watson, Ian; Wilson, Peter; Wilson, Peter (2018): Versatile agricultural land spatial datasets of the Fitzroy catchment WA, Darwin catchments and Mitchell catchment Qld generated by the Northern Australia Water Resource Assessment. v1. CSIRO. Data Collection. https://doi.org/10.25919/5b8f3a83c9f2f


All Rights (including copyright) CSIRO 2018.


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

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Location Details

12°1′12″ S


19°21′0″ S


145°33′0″ E


123°2′60″ E


WGS84


About this Project

Northern Australia Basin assessments


This metadata record relates specifically to the stated body of work and was created for the Northern Australia Water Resource Assessment (NAWRA). The NAWRA has undertaken a comprehensive and integrated evaluation of the feasibility, economic viability and sustainability of water resource development in three priority areas in northern Australia: t... more


Ian Watson





Mark Thomas


Linda Gregory


Ben Harms


Jason Hill


David Morrison


Seonaid Philip


Ross Searle


Henry Smolinski


Dennis van Gool


Ian Watson


Peter Wilson


Peter Wilson


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