Data

Land suitability for Sugarcane for the FGARA project

Commonwealth Scientific and Industrial Research Organisation
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
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/08/530420F6305B8&rft.title=Land suitability for Sugarcane for the FGARA project&rft.identifier=10.4225/08/530420F6305B8&rft.publisher=Commonwealth Scientific and Industrial Research Organisation (CSIRO)&rft.description=This land suitability for Sugarcane 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 moderate limitations; 4 - Marginal; 5 - Unsuitable. The land suitability evaluation methods used to produce this data are a modification of methods of the Food and Agriculture Organisation of the UN (FAO). This data is part of the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project and is designed to support sustainable regional development in Australia being of importance to Australian Governments and agricultural industries. The project identifies new opportunities for irrigation development in these remote areas by providing improved soil and land evaluation data to identify opportunities and promote detailed investigation. A companion dataset exists, “Confidence of suitability data for the FGARA project”. A link to this dataset can be found in the “related materials” section of this metadata record.These suitability raster data for Sugarcane 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”.&rft.creator=Bartley, Rebecca &rft.creator=Thomas, Mark &rft.creator=Clifford, David &rft.creator=Philip, Seonaid &rft.creator=Brough, Dan &rft.creator=Harms, Ben &rft.creator=Willis, Reanna &rft.creator=Gregory, Linda &rft.creator=Glover, Mark &rft.creator=Moodie, Keith &rft.creator=Sugars, Mark &rft.creator=Eyre, Lauren &rft.creator=Smith, Doug &rft.creator=Hicks, Warren &rft.creator=Petheram, Cuan &rft.date=2014&rft.edition=v2&rft.relation=https://publications.csiro.au/rpr/pub?pid=csiro:EP132040&rft.coverage=northlimit=-16.0; southlimit=-22.0; westlimit=139.7; eastLimit=145.0; projection=WGS84&rft_rights=All Rights (including copyright) CSIRO Australia 2013.&rft_rights=CSIRO Data Licence https://wiki.csiro.au/display/dmsdoc/CSIRO+Data+Licence&rft_subject=FGARA&rft_subject=Sugarcane&rft_subject=AGRICULTURE-Crops&rft_subject=AGRICULTURE-Irrigation&rft_subject=Australia&rft_subject=INDUSTRY-Primary&rft_subject=LAND-Use&rft_subject=Queensland&rft_subject=SOIL&rft_subject=Flinders catchment&rft_subject=Gilbert catchment&rft_subject=land suitability&rft_subject=Agricultural Land Management&rft_subject=AGRICULTURAL AND VETERINARY SCIENCES&rft_subject=AGRICULTURE, LAND AND FARM MANAGEMENT&rft_subject=Agricultural Land Planning&rft_subject=Agricultural Spatial Analysis and Modelling&rft.type=dataset&rft.language=English Access the data

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All Rights (including copyright) CSIRO Australia 2013.

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Data is accessible online and may be reused in accordance with licence conditions

Brief description

This land suitability for Sugarcane 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 moderate limitations;
4 - Marginal;
5 - Unsuitable.
The land suitability evaluation methods used to produce this data are a modification of methods of the Food and Agriculture Organisation of the UN (FAO).
This data is part of the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project and is designed to support sustainable regional development in Australia being of importance to Australian Governments and agricultural industries. The project identifies new opportunities for irrigation development in these remote areas by providing improved soil and land evaluation data to identify opportunities and promote detailed investigation.
A companion dataset exists, “Confidence of suitability data for the FGARA project”. A link to this dataset can be found in the “related materials” section of this metadata record.

Lineage

These suitability raster data for Sugarcane 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”.

Data time period: 2013-09-01

Click to explore relationships graph

145,-16 145,-22 139.7,-22 139.7,-16 145,-16

142.35,-19

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