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Showing results for: [ Soil ]
VineLOGIC View is an interactive web application developed to assist visualisation of outputs from the 'VineLOGIC Grapevine Growth and Development Model' (see Related Links). It enables comparisons o... moref model predicted outputs with measured outputs from 'VineLOGIC Experimental Data Sets' (see Related Links), a group of three data sets involving three grapevine varieties and a range of deficit irrigation and pruning treatments obtained during 2000-2006 at a commercial vineyard near Mildura, Victoria, Australia. Outputs are shown in table and graph formats, including time series graphs for selected key parameters. Supporting information, including an introduction to VineLOGIC View and commentary on the key outputs are provided. less
Legacy data - - Published 14 Jan 2021
VineLOGIC is a model of grapevine growth and development. It integrates the influence of climate, soil water and salt balance on growth and yield. It operates at a point scale and uses a daily time st... moreep, requiring historical daily weather data from the closest station as inputs. Source code released through this publication underpins separate software with capacity to vary inputs and run simulations. Inputs include the amount and salinity of irrigation water, the way in which the irrigation is applied, e.g. full or partial ground cover, and key components of a typical vineyard, e.g. wine grape variety and rootstock type, pruning and trellis system type, soil type, vine carbohydrate reserve and depth to watertable at the start of the season, groundwater salinity, root zone salinity at simulation start time and mid-row floor management, such as presence or absence of a cover crop. Outputs include key phenology dates, for example, budburst, flowering, veraison and harvest time, growth parameters such as leaf area index and weights of dormant pruning wood, bunch number and yield per vine, berry number per bunch, berry attributes at harvest plus all key parameters of soil water and salt balance, e.g. total evapotranspiration, vine water uptake, surface soil water evaporation, irrigation added, drainage and water stress indices if water deficits occurred at specific growth stages. While the model has access to a wide range of regional climate data and vineyard soil types, climate data for just one region (Mildura, Victoria) and one soil type are intended to be provided through experimental data sets to be published separately in Data Access Portal for running with a test script included in the current collection. Similarly, while the model has access to a range of wine grape varieties and rootstock types, only a limited number are intended to be provided for running with this test script.less
Legacy data - - Published 07 May 2020
These data provide consistent rasterised layers of edaphic (physical and chemical conditions of the soil) and land surface physiography (landform and geomorphology) variables hypothesised to explain s... morepatial patterns in biological diversity at continental scales for immediate use with statistical modelling tools. These data are intended to be used along with a similarly compiled and spatially standardised set of climatic layers. Consistent "stacks" of raster variables are needed for spatially-explicit biodiversity modelling using tools such as MAXENT or Generalised Dissimilarity Modelling (GDM). Full details of each dataset, with a list of data sources and bibliography, are provided in a table as part of the data collection. Additional information provided with the 1km gridded raster is relevant to some these data and provided here also. Each dataset will need to be separately cited. These data have also been made available for use in the Atlas of Living Australia's Spatial Portal. less
Closed DIISR ALA Exp-Geosptl Data Mngmnt - - Published 21 Oct 2019
Soil surface texture is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Northern Australia Water Resource Assessment (NAWRA) through the digital soil mapping pr... moreocess (DSM). Soil texture is determined by the percentage and size distribution of mineral (sand, silt and clay) particles of the soil finer than 2mm, carried out in the field. This soil surface texture raster data represents a modelled dataset of soil texture for the major part of the A horizons (surface soil) and is derived from field measured site data and environmental covariates. The soil texture classes are based on the field texture classes of the National Committee on Soil and Terrain 2009 (NCST) texture descriptions. Data values are: 1 Sandy, 2 Loamy, 3 Silty, 4 Clayey and the texture groupings behind these values are supplied in the word document READ_ME_Texture_Classes. Soil surface texture is a parameter used in land suitability assessments of soil physical factors and affects; water infiltration, water holding capacity, permeability, drainage, water and wind erosion, workability (soil adhesiveness), trafficability and soil nutrients levels. This raster data provides improved soil information used to identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO NAWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO NAWRA published report ‘Digital soil mapping of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'. The land suitability assessment this dataset underpins is described in the CSIRO NAWRA published report ‘Land suitability of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'.less
Northern Australia Basin assessments - - Published 05 Sep 2018
Soil surface structure is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Northern Australia Water Resource Assessment (NAWRA) through the digital soil mapping ... moreprocess (DSM). Soil structure describes the size, shape and strength of peds (soil aggregates). This soil surface structure raster data represents a modelled dataset of soil structure for the major part of the A horizons (surface soil) and is derived from field measured site data and environmental covariates. Data values are: 1 Single grain, 2 Massive or weak, 3 Moderate/strong and fine, 4 Moderate/strong and coarse as defined by the National Committee on Soil and Terrain 2009 (NCST) structure descriptions. Soil surface structure is a parameter used in land suitability assessments of soil physical factors and affects; water infiltration, erosion, seedling establishment and machinery workability. This raster data provides improved soil information used to identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO NAWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO NAWRA published report ‘Digital soil mapping of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'. The land suitability assessment this dataset underpins is described in the CSIRO NAWRA published report ‘Land suitability of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'.less
Soil surface salinity is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Northern Australia Water Resource Assessment (NAWRA) through the digital soil mapping p... morerocess (DSM). Soil salinity represents the salt content of the soil. This raster data represents a modelled dataset of salinity at the soil surface and is derived from field measured and laboratory analysed site data, and environmental covariates. Data values are: 1 Surface salinity present, 4 Surface salinity absent. Soil surface salinity is a parameter used in land suitability assessments as it hinders seed establishment and retards plant growth. This raster data provides improved soil information used to identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO NAWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO NAWRA published report ‘Digital soil mapping of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'. The land suitability assessment this dataset underpins is described in the CSIRO NAWRA published report ‘Land suitability of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'.less
Soil surface pH is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Northern Australia Water Resource Assessment (NAWRA) through the digital soil mapping process... more (DSM). Soil surface pH is used as a general indicator or proxy of conditions that affect the availability of plant nutrients and potential nutrient toxicities and/or deficiencies. This soil surface pH raster data represents a modelled dataset of pH of the soil surface (<0.10m) measured in standard pH units and is derived from field measurements, analysed site data and environmental covariates. The soil surface pH is a parameter used in land suitability assessments for indicating availability of nutrients for plant use or nutrient deficiencies and/or toxicities eg strong acidity or alkalinity may lead to reduced plant growth. This raster data provides improved soil information used to identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO NAWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO NAWRA published report ‘Digital soil mapping of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'. The land suitability assessment this dataset underpins is described in the CSIRO NAWRA published report ‘Land suitability of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'.less
Soil surface ESP (exchangeable sodium percentage) is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Northern Australia Water Resource Assessment (NAWRA) throug... moreh the digital soil mapping process (DSM). Soil surface ESP indicates chemical properties of a soil that influence soil structure stability (potential for erosion) and water infiltration. This soil surface ESP raster data represents modelled data of ESP of the soil surface (<0.10m) expressed as a percent and is derived from analysed site data and environmental covariates. Soil surface ESP is a parameter used in land suitability assessments of factors impacting water infiltration and potential erosion eg high ESP soils have reduced surface infiltration of rainfall and irrigation water. This raster data provides improved soil information used to identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO NAWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO NAWRA published report ‘Digital soil mapping of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'. The land suitability assessment this dataset underpins is described in the CSIRO NAWRA published report ‘Land suitability of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'.less
Soil surface condition is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Northern Australia Water Resource Assessment (NAWRA) through the digital soil mapping ... moreprocess (DSM). Soil surface condition is described when dry as defined by the National Committee on Soil and Terrain 2009 (NCST) surface condition descriptions. This raster data represents a modelled dataset of soil surface condition and is derived from field measured site data and environmental covariates. Data values are: 1 Self mulching or self mulching and cracking, 2 Loose and/or soft, 3 Firm and/or hardsetting, 4 Surface crust, 5 Cracking. Soil surface condition is a parameter used in land suitability assessments of soil physical factors and affects; water infiltration, seedling establishment and machinery workability. This raster data provides improved soil information used to identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO NAWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO NAWRA published report ‘Digital soil mapping of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'. The land suitability assessment this dataset underpins is described in the CSIRO NAWRA published report ‘Land suitability of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'.less
Soil erodibility is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Northern Australia Water Resource Assessment (NAWRA) through the digital soil mapping proces... mores (DSM). Soil erodibility is used to indicate the potential susceptibility of soil to erosion. This soil erodibility raster data represents a modelled dataset of k-factor (rate of runoff not included) calculated on a scale between 0.0 and 0.1 and is derived from measured and analysed site data, calculations and environmental covariates. Soil erodibility is a parameter used in land suitability assessments to identify areas where water erosion could be a risk causing soil loss (land degradation) and productivity decline and is applied in combination with slope categories. This raster data provides improved soil information used to identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO NAWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO NAWRA published report ‘Digital soil mapping of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'. The land suitability assessment this dataset underpins is described in the CSIRO NAWRA published report ‘Land suitability of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'.less
Soil depth is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Northern Australia Water Resource Assessment (NAWRA) through the digital soil mapping process (DSM... more). Soil depth indicates the soils physical depth to impediment eg bedrock or impenetrable layers. This soil depth raster data represents a modelled dataset of soil depth presented as a positive number in meters eg a value of 1.12 shows the soil depth is 1.12m deep and is derived from measured site data and environmental covariates. This data may underrepresent areas of soils deeper than 1.5m as the input data was mostly only recorded to a maximum of 1.5m where achievable being the extent of the hydraulic soil corer and the general agricultural soil depth. The soil depth data for the Fitzroy catchment has been modelled as a categorical dataset of five classes as this model performed better across the catchment with the limited input data available. The Fitzroy soil depth codes are consistent with the land suitability rules and the Australian Soil Classification soil depth classes: 0.25 is <25cm soil depth, 0.5 is 25 – 50cm soil depth, 1 is 50cm to 1.0m soil depth, 1.5 is 1.0m to 1.5m soil depth, 5 is >1.5m soil depth. Soil depth is a parameter used in land suitability assessments for plant edaphic requirements (root development and structural growth) and physical support and a component in other limitations including PAWC. This raster data provides improved soil information used to identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO NAWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO NAWRA published report ‘Digital soil mapping of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'. The land suitability assessment this dataset underpins is described in the CSIRO NAWRA published report ‘Land suitability of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'.less
PAWC to 60cm is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Northern Australia Water Resource Assessment (NAWRA) through the digital soil mapping process (D... moreSM). PAWC (plant available water capacity) indicates the ability of a soil to retain and supply water for plant growth. This PAWC raster data represents a modelled dataset of PAWC to 60cm (mm of water to 60cm of soil depth) and is derived from analysed site data, spline calculations and environmental covariates. PAWC is a parameter used in land suitability assessments for rainfed cropping and for water use efficiency in irrigated land uses. This raster data provides improved soil information used to identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO NAWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO NAWRA published report ‘Digital soil mapping of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'. The land suitability assessment this dataset underpins is described in the CSIRO NAWRA published report ‘Land suitability of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'.less
PAWC to 150cm is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Northern Australia Water Resource Assessment (NAWRA) through the digital soil mapping process (... moreDSM). PAWC (plant available water capacity) indicates the ability of a soil to retain and supply water for plant growth. This PAWC raster data represents a modelled dataset of PAWC to 150cm (mm of water to 150cm of soil depth) and is derived from analysed site data, spline calculations and environmental covariates. PAWC is a parameter used in land suitability assessments for rainfed cropping and for water use efficiency in irrigated land uses. This raster data provides improved soil information used to identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO NAWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO NAWRA published report ‘Digital soil mapping of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'. The land suitability assessment this dataset underpins is described in the CSIRO NAWRA published report ‘Land suitability of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'.less
PAWC to 100cm is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Northern Australia Water Resource Assessment (NAWRA) through the digital soil mapping process (... moreDSM). PAWC (plant available water capacity) indicates the ability of a soil to retain and supply water for plant growth. This PAWC raster data represents a modelled dataset of PAWC to 100cm (mm of water to 100cm of soil depth) and is derived from analysed site data, spline calculations and environmental covariates. PAWC is a parameter used in land suitability assessments for rainfed cropping and for water use efficiency in irrigated land uses. This raster data provides improved soil information used to identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO NAWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO NAWRA published report ‘Digital soil mapping of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'. The land suitability assessment this dataset underpins is described in the CSIRO NAWRA published report ‘Land suitability of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'.less
Maximum clay% to 2m soil depth is one attribute of soils chosen to underpin the ringtank suitability assessment of the Northern Australia Water Resource Assessment (NAWRA) through the digital soil map... moreping process (DSM). This data indicates the maximum clay content reached in the soil profile to 2m depth expressed as a percent and is derived from analysed soil site data and environmental covariates. Clay percent is a parameter applied in the ringtank suitability rules in relation to construction and engineering properties for ringtanks. This raster data provides improved soil information used to identify opportunities and promote detailed investigation for a range of sustainable regional development options. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO NAWRA published report ‘Digital soil mapping of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'. The ringtank suitability assessment and results of the ringtank analysis this dataset underpins is described in the CSIRO NAWRA published report ‘Assessment of surface water storage options in the Fitzroy, Darwin and Mitchell catchments. A technical report to the Australian Government from the CSIRO Northern Australia Water Resource Assessment, part of the National Water Infrastructure Development Fund: Water Resource Assessments. CSIRO, Australia. Petheram et al 2017.'less
Depth of A horizon is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Northern Australia Water Resource Assessment (NAWRA) through the digital soil mapping proc... moreess (DSM). Depth of A horizon indicates the depth of the surface layers of soil (A horizon). This modelled raster data is presented as a positive number in meters eg a value of 0.12 shows the A horizon is 12 cm deep, and is derived from measured site data and environmental covariates. Depth of A horizon is a parameter used in land suitability assessments of soil physical factors for; plant growth (seedling establishment), machinery operations and potential degradation risks associated with sodic soils. This raster data provides improved soil information used to identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO NAWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO NAWRA published report ‘Digital soil mapping of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'. The land suitability assessment this dataset underpins is described in the CSIRO NAWRA published report ‘Land suitability of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'.less
Soil permeability is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Northern Australia Water Resource Assessment (NAWRA) through the digital soil mapping proce... moress (DSM). Soil permeability describes the ability of a soil to transmit water internally by its least permeable layer (rate of water movement into and through the soil profile). This soil permeability raster data represents a modelled dataset of permeability as described by the National Committee on Soil and Terrain 2009 (NCST) and is derived from field measured site data and environmental covariates. Data values are: 1 Very slowly permeable, 2 Slowly permeable, 3 Moderately permeable, 4 Highly permeable. Soil permeability is a parameter used in land suitability assessments of irrigation efficiency and soil wetness (in combination with soil drainage indicating site and soil conditions that result in poor soil aeration for plant growth). This raster data provides improved soil information used to identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO NAWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO NAWRA published report ‘Digital soil mapping of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'. The land suitability assessment this dataset underpins is described in the CSIRO NAWRA published report ‘Land suitability of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'.less
Soil drainage is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Northern Australia Water Resource Assessment (NAWRA) through the digital soil mapping process (... moreDSM). Soil drainage describes local soil wetness conditions (rate of water movement from the site soil profile). This soil drainage raster data represents a modelled dataset of profile drainage as described by the National Committee on Soil and Terrain 2009 (NCST) and is derived from field measured site data and environmental covariates. Data values are: 1 Very poorly drained, 2 Poorly drained, 3 Imperfectly drained, 4 Moderately well drained, 5 Well drained, 6 Rapidly drained. Soil drainage is a parameter used in land suitability assessments of soil wetness in combination with soil permeability indicating site and soil conditions that result in poor soil aeration for plant growth eg excess water on the soil surface or in the soil profile caused from inadequate site drainage reduces crop growth and quality and restricts machinery use. This raster data provides improved soil information used to identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO NAWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO NAWRA published report ‘Digital soil mapping of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'. The land suitability assessment this dataset underpins is described in the CSIRO NAWRA published report ‘Land suitability of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'.less
Soil generic group (SGG) is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Northern Australia Water Resource Assessment (NAWRA) through the digital soil mappin... moreg process (DSM). SGG data has been created to simplify the complex information of individual soils and soil attributes for extension, planning and management. This data simultaneously covers a number of purposes: to be descriptive so as to assist non-expert communication regarding soil and resources; to be relatable to agricultural potential; and to align, where practical, to the classes of the Australian Soil Classification system (ASC) (Isbell and National Committee on Soil and Terrain, 2016). This SGG raster data represents a modelled dataset of 13 classes derived from rules applied to measured site data and modelled with environmental covariates. Descriptions of the 13 SGG classes, their rules and the spatial data value descriptions are supplied with this data. SGG mapping was also used as a minor input into the land suitability framework but primarily as a communication tool. This raster data provides improved soil information used to identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO NAWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO NAWRA published report ‘Digital soil mapping of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'. The land suitability assessment this dataset underpins is described in the CSIRO NAWRA published report ‘Land suitability of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'.less
Gilgai microrelief is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Northern Australia Water Resource Assessment (NAWRA) through the digital soil mapping proc... moreess (DSM). Microrelief refers to variations in relief above and below the plane of the land surface due to shrink-swell clays. This gilgai microrelief raster data represents a modelled dataset of gilgai that has a vertical displacement >= 0.30m (ie that is greater than 30cm deep) and is derived from field measured site data and environmental covariates. Data values are: 1 Gilgai microrelief absent, 2 Gilgai microrelief present. Gilgai microrelief is a parameter used in land suitability assessments as severe gilgai affects machinery use, irrigation practices and can affect the establishment of irrigation infrastructure. This raster data provides improved soil information used to identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO NAWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO NAWRA published report ‘Digital soil mapping of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'. The land suitability assessment this dataset underpins is described in the CSIRO NAWRA published report ‘Land suitability of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'.less
Rockiness is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Northern Australia Water Resource Assessment (NAWRA) through the digital soil mapping process (DSM)... more. Rockiness represents areas that are excluded from agricultural production due to the abundance and size of rock outcrop, surface coarse fragments, profile coarse fragments and hard segregations. This raster data represents a modelled dataset of a set of rules applied to the above features for the top 0.10m of soil and is derived from field measured site data and environmental covariates. Data values are: 1 Not rocky, 2 Rocky. Descriptions of the rules defining rockiness are supplied with this data. Rockiness is a parameter used in land suitability assessments as restrictions relate to the intensity of rock picking required in land preparation, root crop harvesting, reduces crop growth and use of agricultural machinery particularly in the plough zone. This raster data provides improved soil information used to identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO NAWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO NAWRA published report ‘Digital soil mapping of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'. The land suitability assessment this dataset underpins is described in the CSIRO NAWRA published report ‘Land suitability of the Fitzroy, Darwin and Mitchell catchments. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia'.less
A selection of 9-arcsecond resolution substrate surfaces (soil and landform) for the Australian continent, aggregated from 3-arcsecond source data. These substrate surfaces have been selected because ... morethey have been found to be relevant to biodiversity modelling using generalised dissimilarity modelling. These data are intended to be used along with a similarly compiled and spatially standardised 9-arcsecond gridded climatic layers. See links for related collections. less
DEE: Enhancing landscape data and analytic capability through knowledge transfer of GDM technology - Australian 9s environmental surfaces - Published 19 Jun 2018
The Soil Facility produced a range of digital soil attribute products. Each product contains six digital soil attribute maps, and their upper and lower confidence limits, representing the soil attribu... morete at six depths: 0-5cm, 5-15cm, 15-30cm, 30-60cm, 60-100cm and 100-200cm. These depths are consistent with the specifications of the GlobalSoilMap.net project (http://www.globalsoilmap.net/). The digital soil attribute maps are in raster format at a resolution of 3 arc sec (~90 x 90 m pixels). Attributes included: Available Water Capacity; Bulk Density - Whole Earth; Clay; Effective Cation Exchange Capacity; pH - CaCl2; Silt; Sand; Total Nitrogen; Total Phosphorus. Period (temporal coverage; approximately): 1950-2013; Spatial resolution: 3 arc seconds (approx 90m); Total number of gridded maps for this attribute: 18; Number of pixels with coverage per layer: 2007M (49200 * 40800); Total size before compression: about 8GB; Total size after compression: about 4GB; Data license : Creative Commons Attribution 3.0 (CC By); Target data standard: GlobalSoilMap specifications; Format: GeoTIFF.less
1181.2 TERN Facility No9 InfoGrid GRUNDY - National Soil Grid - Published 19 Mar 2018
These are products of the Soil and Landscape Grid of Australia Facility generated through disaggregation of the Western Australian soil mapping. There are 9 soil attribute products available from the ... moreSoil Facility: Available Water Holding Capacity - Volumetric (AWC); Bulk Density - Whole Earth (BDw); Bulk Density - Fine Earth (BDf); Clay (CLY); Course Fragments (CFG); Electrical Conductivity (ECD); pH Water (pHw); Sand (SND); Silt (SLT). Each soil attribute product is a collection of 6 depth slices. Each depth raster has an upper and lower uncertainty limit raster associated with it. The depths provided are 0-5cm, 5-15cm, 15-30cm, 30-60cm, 60-100cm & 100-200cm, consistent with the Specifications of the GlobalSoilMap. The DSMART tool (Odgers et al. 2014) tool was used in a downscaling process to translate legacy soil landscape mapping to 3” resolution (approx. 100m cell size) raster predictions of soil classes (Holmes et al. Submitted). The soil class maps were then used to produce corresponding soil property surfaces using the PROPR tool (Odgers et al. 2015; Odgers et al. Submitted). Legacy mapping was compiled for the state of WA from surveys ranging in map scale from 1:20,000 to 1:2,000,000 (Schoknecht et al., 2004). The polygons are attributed with the soils and proportions of soils within polygons however individual soils were not explicitly spatially defined. These new disaggregated map products aim to incorporate expert soil surveyor knowledge embodied in legacy polygon soil maps, while providing re-interpreted soil spatial information at a scale that is more suited to on-ground decision making. Note: The DSMART-derived dissagregated legacy soil mapping products provide different spatial predictions of soil properties to the national TERN Soil Grid products derived by Cubist (data mining) and kriging based on site data by Viscarra Rossel et al. (Submitted). Where they overlap, the national prediction layers and DSMART products can be considered complementary predictions. They will offer varying spatial reliability (/ uncertainty) depending on the availability of representative site data (for national predictions) and the scale and expertise of legacy mapping. The national predictions and DSMART disaggregated layers have also been merged as a means to present the best available (lowest statistical uncertainty) data from both products (Clifford et al. In Prep). Previous versions of this collection contained Depths layers. These have been removed as the units do not comply with Global Soil Map specifications.less
These products are derived from disaggregation of legacy soil mapping in the agricultural zone of South Australia using the DSMART tool (Odgers et al. 2014a); produced for the Soil and Landscape Grid ... moreof Australia Facility. There are 10 soil attribute products available from the Soil Facility: Available Water Capacity (AWC); Bulk Density - Whole Earth (BDw); Cation Exchange Capacity (CEC); Clay (CLY); Coarse Fragments (CFG); Electrical Conductivity (ECD); Organic Carbon (SOC); pH - CaCl2( pHc); Sand (SND); Silt (SLT). Each soil attribute product is a collection of 6 depth slices (except for effective depth and total depth). Each depth raster has an upper and lower uncertainty limit raster associated with it. The depths provided are 0-5cm, 5-15cm, 15-30cm, 30-60cm, 60-100cm & 100-200cm, consistent with the specifications of the GlobalSoilMap. The DSMART tool was used in a downscaling process to translate legacy soil landscape mapping to 3” resolution (approx. 100m cell size) raster predictions of soil classes and corresponding soil properties. Legacy mapping was performed at 1:50,000 and 1:100,000 scales to delineate associated soils within polygons however individual soils were not explicitly spatially defined. These new disaggregated map products aim to incorporate expert soil surveyor knowledge embodied in legacy polygon soil maps, while providing re-interpreted soil spatial information at a scale that is more suited to on-ground decision making. Note: The DSMART-derived dissagregated legacy soil mapping products provide different spatial predictions of soil properties to the national TERN Soil Grid products derived by Cubist (data mining) kriging based on site data by Viscarra Rossel et al. (2014). Where they overlap, the national prediction layers and DSMART products can be considered complementary predictions. They will offer varying spatial reliability (/ uncertainty) depending on the availability of representative site data (for national predictions) and the scale and expertise of legacy mapping. The national predictions and DSMART disaggregated layers have also been merged as a means to present the best available (lowest statistical uncertainty) data from both products (Clifford et al. 2014). Previous versions of this collection contained Depths layers. These have been removed as the units do not comply with Global Soil Map specifications.less
