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Showing results for: [ Agricultural Land Management ]
A global gridded data set of physical cropland of different single and multiple cropping systems composed of 25 different rainfed and irrigated annual crops. The collection includes different levels o... moref aggregation, from individual crops to crop groups and overall cropping intensity. This is the accompanying data publication for: Waha K et al. (2020): Multiple cropping systems of the world and the potential for increasing cropping intensity. Global Environmental Change.less
OCE Science Leader - Herrero - - Published 28 Jul 2020
Vegetation Fractional Cover represents the exposed proportion of Photosynthetic Vegetation (PV), Non-Photosynthetic Vegetation (NPV) and Bare Soil (BS) within each pixel. The sum of the three fraction... mores is 100% (+/- 3%) and shown in Red/Green/Blue colors. In forested canopies the photosynthetic or non-photosynthetic portions of trees may obscure those of the grass layer and/or bare soil. This product is derived from the MODIS Nadir BRDF-Adjusted Reflectance product (MCD43A4) collection 6 and has 500 meters spatial resolution. A suite of derivative products are also produced including monthly fractional cover, total vegetation cover (PV+NPV), and anomaly of total cover against the time series. Monthly: The monthly product is aggregated from the 8-day composites using the medoid method. Anomaly: represents the difference between total vegetation cover (PV+NPV) in a given month and the mean total vegetation cover for that month in all years available, expressed in units of cover. For example, if the mean vegetation cover in January (2001-current year) was 40% and the vegetation cover for the pixel in January 2018 was 30%, the anomaly for the pixel in Jan 2018 would be -10%. Decile: represents the ranking (in ten value intervals) for the total vegetation cover in a given month in relation to the vegetation cover in that month for all years in the time-series. MODIS fractional cover has been validated for Australia. less
DoAWR - Improving the RaPP Map monitoring tool for Australia - - Published 11 Nov 2019
Scientific reference collection of physical samples of Australian soils. There are over 100,000 soil specimens in the collection: 70,000 fully archived and 30,000 stored specimens (still to be archive... mored). The specimen collection reflects the changes in research focus over the last 70 years and expects to continue this into the future. The starting collection, which was received at the founding of the Soil Archive in 2003, has been complemented by more recent submissions from other agencies and current CSIRO projects from a range of Business Units (predominantly Agriculture & Food, Land & Water). Researchers can submit their soil specimens to the Soil Archive. These soil specimens will need to be accompanied by the collected soil data. For more information, see our website. The sub sample collection of the Soil Archive holds 43,000 specimens of fine earth (< 2 mm) (10 gram duplicates of the larger specimens) that are suitable to near-infrared spectroscopic analysis. less
Legacy data - Australian Soil Resource Information System - Published 25 Jun 2019
This data collection includes APSIM simulation of crop yield, nitrogen and water management, soil nitrogen and carbon dynamics in Huang-Huai-Hai Plain, China. A winter-wheat and summer maize double cr... moreopping system was simulated under a series of management scenarios including nitrogen and water management. less
Scientific benchmarks for sustainable agricultural intensification - - Published 20 Jun 2019
History: rotation phase for each plot from 1925 to 1993. Grain yield: for each plot from 1925 to 1993. Total dry matter: for each plot from 1925 to 1991. Pasture cuts: for each plot from 1950 to 1991.... more Pasture composition: for each plot from 1950 to 1991. Monthly climate data: from 1925 to 1993. Soil carbon data: measured total organic carbon (by combustion) and size fractions (by MIR-PLSR prediction) and delta 14C values for select plots for 1963, 1973, 1983 and 1993 for each of 0-10 cm and 10-22.5 cm depths.less
1179.2 Uncertainty quantification in soi - Soil carbon measurement - Published 23 May 2019
Lansdown pasture photograph series - nadir-pointing cameras on two separate 2.8m x 2.0m plots. Series of digital photographs of pasture captured by two digital cameras 2.5 m above the ground in a dow... morenward-pointing position. Camera field of view approximately 2.8m x 2.0m at ground level. Images captured at 30 minute intervals from 2011-09-07 to 2013-08-10. Cameras were Pentax Optio WG-1 digital cameras (13.8 megapixels). Images saved in JPG format. Node 1081 (fenced): Lon. 146.85058, Lat. -19.66143 Node 1080 (unfenced): Lon. 146.85090, Lat. -19.66113 Distance between nodes approx. 50m.less
CLOSED-Application real-time sensor net - A pilot project combining multispectral proximal sensors and digital cameras for monitoring tropical pastures - Published 19 Jun 2018
Monthly climate data, soil organic carbon pools and annual plant residue inputs from a number of Australian field studies that were used for the calibration and verification of the National Carbon Acc... moreounting System. less
Acquired - Legacy data collection - Published 06 Feb 2015
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 digita... morel soil mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of texture of the surface soil using descriptions from 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
1211.1 Gulf Agricultural Resource Assess - Digital Soil Mapping - Published 19 Feb 2014
Soil surface structure 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 digi... moretal soil mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of structure of surface soil using descriptions from 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 Single grain, 2 Massive or weak, 3 Moderate/strong and fine, 4 Moderate/strong and coarse. The attribute data file is named "StructureClasses.tif". Also included are data reflecting confidence of the main dataset. This file is named "Structure_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
Soil surface pH 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 soi... morel mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of pH of the soil surface measured in standard pH units and is derived from measured site and laboratory data and environmental covariates. The data is used in assessment of soil nutrient toxicities, deficiencies and available nutrients to plants. The attribute data file is named "pH_lab_fieldPredictions.tif". Also included are data reflecting confidence of the main dataset. This file is named "SurfacepH_SD.tif". "SD" represents "standard deviation". 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
Soil surface condition 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 digi... moretal soil mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of the condition of the surface of the soil using codes from the Australian Soil and Land Survey Field Handbook (ASLSFH) and 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 Cracking and/or self mulching, 2 Loose and/or soft, 3 Firm and/or hardsetting, 4 Surface crust. The attribute data file is named "ConditionClasses.tif". Also included are data reflecting confidence of the main dataset. This file is named "Condition_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
Soil surface clay percent 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 d... moreigital soil mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of clay in the soil surface measured as a percent and is derived from laboratory, MIR and environmental covariates. The data is used in assessment of soil physical factors eg water infiltration, seedling establishment and machinery workability. The attribute data file is named "ClayPredictions.tif". Also included are data reflecting confidence of the main dataset. This file is named "Clay_SD.tif". "SD" represents "standard deviation". 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
Soil permeability 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 s... moreoil mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of the ability of the soil to transmit water of its least permeable layer using codes from 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 subsurface drainage relating to soil aeration for plant growth. Codes are: 1 Very slowly permeable, 2 Slowly permeable, 3 Moderately permeable, 4 Highly permeable. The attribute data file is named "PermeabilityClasses.tif". Also included are data reflecting confidence of the main dataset. This file is named "PermeabilityCI.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
Soil generic group (SGG) data has been created for a communication tool to simplify the complex information of individual soils and soil attributes for extension, planning and management. This data gr... moreoups attributes of soils based around the Australian Soil Classification 'Order' and in some cases splitting of Orders by sub classifications of depth and feature to fit better within each SGG. It is also one of 19 attributes of soils chosen to underpin the land suitability assessment of the FGARA project through the digital soil mapping process (DSM). This raster data represents a modelled surface of 8 Soil generic groups with definitions and explanations supplied with the data. This data is derived from classified site data and environmental covariates. Values: 1 Sand or loam over relatively friable clay subsoils; 2 Friable non-cracking clay or clay loam soils; 3 Seasonally or permanently wet soils; 4 Red, yellow or grey loamy soils; Note no 5; 6 Deep sandy soils; 7 Shallow sandy and stony soils; 8 Sand or loam over intractable clay subsoils; 9 Cracking clay soils. The attribute data file is named "GSGClasses.tif" Also included are data reflecting confidence of the main dataset. This file is named "GSG_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
Soil erosivity 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... more mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of the USLE K factor measured on a scale between 0 - 1 and is derived from measured site data, calculations and environmental covariates. The data is used in assessment of potential soil erosion. The attribute data file is named "Kpredictions.tif". Also included are data reflecting confidence of the main dataset. This file is named "K_SD.tif". "SD" represents "standard deviation". 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
Soil drainage 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 ... moremapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of local soil wetness conditions using codes from 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 subsurface and landscape position drainage relating to soil aeration for plant growth. Codes are: 1 Very poorly drained, 2 Poorly drained, 3 Imperfectly drained, 4 Moderately well drained, 5 Well drained, 6 Rapidly drained. The attribute data file is named "DrainageClasses.tif". Also included are data reflecting confidence of the main dataset. This file is named "Drainage_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
Soil depth 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 map... moreping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of soil depth measured in 0.00m and is derived from measured site data and environmental covariates. It generally does not represent soils deeper than 1.5m as the input data was only recorded to a maximum of 1.5m where possible. The data is used in assessment of the requirements for physical support for the plant. The attribute data file is named "SoilDPredictions.tif". Also included are data reflecting confidence of the main dataset. This file is named "soilDepth_SD.tif". "SD" represents "standard deviation". 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
Rockiness 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 mapp... moreing process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of probability of rockiness defined by amount of coarse fragments, hard segregations or rock outcrop in the plough zone (see definition in below reference to technical report). The values are from 0 being least probable to 1 being most probable. This data is derived from measured site data and environmental covariates. The data is used as a restriction to use of agricultural machinery. For this project the areas of >0.7 probability are said to be rocky. The attribute data file is named "Rockyprobability.tif" Also included are data reflecting confidence of the main dataset. This file is named "Rockiness_CI69.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
PAWC (plant available water capacity) to 50cm is one of 19 attributes of soils chosen to underpin the land suitability assessment of the Flinders and Gilbert Agricultural Resource Assessment (FGARA) p... moreroject through the digital soil mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of PAWC to 50cm measured in mm of water to 50cm of soil depth and is derived from measured site data and environmental covariates. The data is used in assessment of the capacity of the soil to retain water for plant use. The attribute data file is named "PAWC50wSPredictions.tif" Also included are data reflecting confidence of the main dataset. This file is named "PAWC50wS_SD.tif". "SD" represents "standard deviation". 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
PAWC (plant available water capacity) to 150cm is one of 19 attributes of soils chosen to underpin the land suitability assessment of the Flinders and Gilbert Agricultural Resource Assessment (FGARA) ... moreproject through the digital soil mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of PAWC to 150cm measured in mm of water to 150cm of soil depth and is derived from measured site data and environmental covariates. The data is used in assessment of the capacity of the soil to retain water for plant use. The attribute data file is named "PAWC150wSPredictions.tif" Also included are data reflecting confidence of the main dataset. This file is named "PAWC150wS_SD.tif". "SD" represents "standard deviation". 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
PAWC (plant available water capacity) to 100cm is one of 19 attributes of soils chosen to underpin the land suitability assessment of the Flinders and Gilbert Agricultural Resource Assessment (FGARA) ... moreproject through the digital soil mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of PAWC to 100cm measured in mm of water to 100cm of soil depth and is derived from measured site data and environmental covariates. The data is used in assessment of the capacity of the soil to retain water for plant use. The attribute data file is named "PAWC100wSPredictions.tif" Also included are data reflecting confidence of the main dataset. This file is named "PAWC100wS_SD.tif". "SD" represents "standard deviation". 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
Organic Carbon 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... more mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of organic carbon measured in percent and is derived from laboratory analysis and environmental covariates. The attribute data file is named "OCPredictions.tif" Also included are data reflecting confidence of the main dataset. This file is named "OC_SD.tif". "SD" represents "standard deviation". 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
Microrelief 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 ma... morepping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of probability of gilgai that is deeper than 30cm. The values are from 0 being least probable to 1 being most probable. This data is derived from measured site data and environmental covariates. The data is used in assessment of water ponding that effects irrigation efficiency. For this project the areas of >0.7 probability are said to have microrelief. The attribute data file is named "MicroReliefprobability.tif" Also included are data reflecting confidence of the main dataset. This file is named "MicroRelief_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
ESP (Exchangeable Sodium Percentage) of soil surface is one of 19 attributes of soils chosen to underpin the land suitability assessment of the Flinders and Gilbert Agricultural Resource Assessment (F... moreGARA) project through the digital soil mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of ESP of the soil surface (<0.10m) expressed as percent. The attribute data file is named "ESPPredictions.tif" Also included are data reflecting confidence of the main dataset. This file is named "ESP_SD.tif". "SD" represents "standard deviation". 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
Electrical conductivity of soil surface is one of 19 attributes of soils chosen to underpin the land suitability assessment of the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project... more through the digital soil mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of electrical conductivity of the soil surface (<0.10m) measured in 0.00 dS/m (decisiemens per meter) and is derived from measured site data and environmental covariates. The data is used in assessment of salinity and effects soil water holding capacity. The attribute data file name is "ECPredictions.tif". Also included are data reflecting confidence of the main dataset. These file names follow the convention "EC_SD.tif". "SD" represents “standard deviation”. 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
