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Dry-season wetlands data show the average value derived from each season’s maximum number of consecutive days where surface water has been identified during the dry seasons from 1988 to 2016 from Land... moresat imagery. This dataset was created for the CSIRO Northern Australia Water Resource Assessment (NAWRA) project. These data are maps of dry-season wetlands derived from the Landsat archive from 1988 to 2016 (i.e. 29 years). The Landsat archive data were extracted from Geoscience Australia’s Surface Reflectance NBAR product available on the National Computing Infrastructure. The method used to derive the surface water maps is described in the NAWRA technical report (Sims et al., 2016). The data are provided as average number (from the 29 years of Landsat data) of the maximum consecutive days of inundation during each dry season. The average number of maximum consecutive days is then converted into shape files: one showing all pixels containing an average value of 50 or more maximum consecutive days of inundation from all the dry seasons; the other showing all pixels containing an average value of 100 or more maximum consecutive days of inundation from all the dry seasons. More information is provided in the supporting attachment.less
Northern Australian Basin Assessment:: Water Resource Assessments - - Published 07 Dec 2018
Major ion (Ca, Mg, Na, K, Alk, Cl, SO4) concentrations measured in surface water samples from the Mary-Wildman rivers area, Northern Territory.
Northern Australian Basin Assessment:: Water Resource Assessments - - Published 23 Oct 2018
Major ion (Ca, Mg, Na, K, Alk, Cl, SO4) concentrations measured in rainwater samples from the Mary-Wildman rivers area, Northern Territory.
Noble gas (Ne, Ar, Kr, Xe, N2) concentrations measured in groundwater samples from the Mary-Wildman rivers area, Northern Territory.
Major ion (Ca, Mg, Na, K, Alk, Cl, SO4) concentrations measured in groundwater samples from the Mary-Wildman rivers area, Northern Territory.
Field parameter (temperature, EC, TDS, pH, NPOC, TN) values measured in groundwater samples from the Mary-Wildman rivers area, Northern Territory.
Environmental tracer (3H, CFC11, CFC12, 14C, 4He) concentrations and activities measured in groundwater and surface water samples from the Mary-Wildman rivers area, Northern Territory.
Geochemical (from XRF analyses) and mineralogical (from XRD analyses) composition of rock and sediment samples from the Mary-Wildman rivers area, Northern Territory.
Northern Australian Basin Assessment:: Water Resource Assessments - - Published 19 Oct 2018
Stable isotope of water (d2H, d18O) ratios measured in groundwater, rainwater and surface water samples from the Mary-Wildman rivers area, Northern Territory.
Persistent waterholes provide important refuge habitats. Waterhole persistence data shows the percentage of years where surface water has been identified along the stream channels during the driest pe... moreriod of the dry seasons from 1988 to 2015 and is derived from Landsat imagery. This dataset was created for the CSIRO Northern Australia Water Resource Assessment (NAWRA) project. These data are maps of persistent waterholes derived from the Landsat archive from 1988 to 2015 (i.e. 27 years). The Landsat archive data were extracted from Geoscience Australia’s Surface Reflectance NBAR product available on the National Computing Infrastructure. The method used to derive the persistent waterhole maps is described in the NAWRA technical report (Sims et al., 2016). The data are provided as percentage of (valid) years that a pixel contained water at the end of the dry season. A percent value of 100 means that the pixel was wet at the end of every dry season for all available years. Those pixels containing water in them at the end of the dry season for at least 90% of the years are provided as shape files. More information is provided in the supporting attachment.less
Northern Australian Basin Assessment:: Water Resource Assessments - - Published 08 Oct 2018
Persistent waterholes provide important refuge habitats. Waterhole persistence data shows the percentage of years where surface water has been identified along the stream channels during the driest pe... moreriod of the dry seasons from 1988 to 2015 and is derived from Landsat imagery. This dataset was created for the CSIRO Northern Australia Water Resource Assessment (NAWRA) project. This dataset uses another dataset (also available on the Data Access Portal titled ‘Persistent waterholes derived from Landsat archive for NAWRA’), where waterholes were mapped at the end of each dry season (based on available cloud-free Landsat scenes) using a Normalised Difference Water Index derived from Landsat imagery. This method is described in Sims et al. (2016) and only looks at the persistence of water within each pixel through time. This dataset allows for the fact that a waterhole can vary in shape and local location through time, by providing the percentage of years that at least one water pixel is identified within along-stream segments at the end of each dry season. Further information is provided as a supported attachment. less
This dataset provides flood inundation extent and duration for the Fitzroy catchment in Western Australia for the flood events of 2001, 2002, 2006, 2007, 2009, 2011 and 2014. The data are in raster fo... morermat. The values in the raster file shows the duration of inundation (days) during an event. The following are the start and end time for each flood. FLOOD YEAR START DATE END DATE DURATION (DAYS) EXCEEDANCE PROBABILITY (YEARS) 2001 16/02/2001 14/03/2001 27 1 in 16 2002 20/02/2002 7/03/2002 16 1 in 25 2006 16/03/2006 23/03/2006 8 1 in 2 2007 29/03/2007 6/04/2007 9 1 in 3 2009 26/01/2009 14/02/2009 20 1 in 5 2011 25/02/2011 31/03/2011 35 1 in 25 2014 1/02/2014 18/02/2014 18 1 in 3 less
Northern Australian Basin Assessment:: Water Resource Assessments - - Published 01 Oct 2018
Locations, sample analysis and sample comments and dates for water quality samples (heavy metals, N and P) taken at various locations across the Mitchell River catchment (QLD)
Northern Australian Basin Assessment:: Water Resource Assessments - - Published 05 Sep 2018
These land suitability raster data (in GeoTIFF format) indicates areas of potential suitability for 126 crops and their specific irrigation management systems and seasons in the Fitzroy catchment of W... moreestern Australia. This data provides improved land evaluation information to identify opportunities and promote detailed investigation for a range of sustainable development options and was created within the ‘Land suitability’ activity of the Northern Australia Water Resource Assessment (NAWRA). There are five land suitability classes coded 1-5. 1 – Highly suitable land with negligible limitations 2 – Suitable land with minor limitations 3 – Moderately suitable land with considerable limitations 4 – Currently unsuitable land with severe limitations 5 – Unsuitable land with extreme limitations. The land suitability evaluation methods used to produce this data are a modification of the Food and Agriculture Organisation (FAO) land evaluation approach. The land suitability analysis is described in full in the CSIRO NAWRA published report referenced in the "Citation" field of this metadata record. A companion dataset showing the reliability of this suitability data (showing areas of the catchment where there is greater or lesser confidence in the accuracy of the suitability data) is also supplied. The naming convention for these data is; ‘crop’ underscore ‘season’ underscore ‘irrigation type’ underscore ‘catchment code’ underscore ‘data type’ eg ‘SorgForage_dry_fur_F_Suit’ is Sorghum forage dry season furrow irrigated Fitzroy catchment suitability. The codes for season are; wet – wet season; dry – dry season; per – perennial; wet-dry – planted late wet season and grown through the dry season eg navy bean, soybean; wet-long – longer growing crops that grow through a wet season eg sugarcane. The codes for irrigation type are; spray – overhead spray irrigation; tric – trickle irrigation; mini-spray – mini spray irrigation; flood – flood irrigation; fur – furrow irrigation; rainfed – rainfed. The codes for data type are; suit – suitability data, CI – reliability data expressed as confusion index. It is important to emphasize that this is a regional-scale assessment: further data collection and detailed soil physical, chemical and nutrient analyses would be required to plan development at a scheme, enterprise or property scale. Several limitations that may have a bearing on land suitability were out of scope and not assessed as part of this activity (see section 1.1 and 2.1.2 of the cited report), these limitations include biophysical and socio-cultural. For example these land suitability raster datasets do not include consideration of the licensing of water, flood risk, contiguous land, risk of irrigation induced secondary salinity, or land tenure and other legislative controls. Some of these may be addressed elsewhere in NAWRA eg flooding was investigated within the Earth observation remote sensing activity and the risk of irrigation induced secondary salinity was assessed as part of the groundwater investigations.less
Northern Australia Basin assessments - - Published 05 Sep 2018
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 sy... morestems and seasons generated by the Northern Australia Water Resource Assessment (NAWRA). Five datasets are presented for each of the NAWRA catchments. The definitive versatile agricultural land dataset was determined by identifying where the largest number of 14 selected land management options were mapped as being suitable (i.e. suitability classes 1 to 3, refer to report cited with this metadata record). This analysis summarised the suitability of the selected land management options for each pixel, and highlights those pixels that are potentially more versatile for agricultural development because they are likely to suit a larger range of land use options and enterprises eg the score of zero represents the least versatile land, while the score of 14 represents the most versatile. The data values represent the number of land management options suitable for that pixel. The selected land management options for each catchment are different relative to general agronomic experience and development stakeholders of the catchment and were derived in consultation with the agricultural viability activity in NAWRA. These selections are presented in Table 3-1 of the published report; 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, Canberra, Australia Thomas et al 2018. Similarly. The selection of a different representative set of the 126 land use options for a particular study area would result in a different versatility map outcome for that catchment. In addition to the selected set of 14 land management options for each study area, versatile agricultural land is also presented using the subsets of each of the irrigation types (and rainfed cropping). In this case, the 126 land management options were assigned to rainfed (20), furrow (42), spray (44) or trickle irrigation (20). The data values represent the number of land management options suitable for that pixel. Analytical products like these help to identify land where particular types of irrigation-related infrastructure investment may be best targeted. This data provides improved land evaluation information to identify opportunities and promote detailed investigation for a range of sustainable development options. It is important to emphasize that this is a regional-scale assessment: further data collection and detailed analyses would be required to plan development at a scheme, enterprise or property scale. less
These land suitability raster data (in GeoTIFF format) indicates areas of potential suitability for 126 crops and their specific irrigation management systems and seasons in the Darwin catchments. Thi... mores data provides improved land evaluation information to identify opportunities and promote detailed investigation for a range of sustainable development options and was created within the ‘Land suitability’ activity of the Northern Australia Water Resource Assessment (NAWRA). There are five land suitability classes coded 1-5. 1 – Highly suitable land with negligible limitations 2 – Suitable land with minor limitations 3 – Moderately suitable land with considerable limitations 4 – Currently unsuitable land with severe limitations 5 – Unsuitable land with extreme limitations. The land suitability evaluation methods used to produce this data are a modification of the Food and Agriculture Organisation (FAO) land evaluation approach. The land suitability analysis is described in full in the CSIRO NAWRA published report referenced in the "Citation" field of this metadata record. A companion dataset showing the reliability of this suitability data (showing areas of the catchment where there is greater or lesser confidence in the accuracy of the suitability data) is also supplied. The naming convention for these data is; ‘crop’ underscore ‘season’ underscore ‘irrigation type’ underscore ‘catchment code’ underscore ‘data type’ eg ‘SorgForage_dry_fur_F_Suit’ is Sorghum forage dry season furrow irrigated Fitzroy catchment suitability. The codes for season are; wet – wet season; dry – dry season; per – perennial; wet-dry – planted late wet season and grown through the dry season eg navy bean, soybean; wet-long – longer growing crops that grow through a wet season eg sugarcane. The codes for irrigation type are; spray – overhead spray irrigation; tric – trickle irrigation; mini-spray – mini spray irrigation; flood – flood irrigation; fur – furrow irrigation; rainfed – rainfed. The codes for data type are; suit – suitability data, CI – reliability data expressed as confusion index. It is important to emphasize that this is a regional-scale assessment: further data collection and detailed soil physical, chemical and nutrient analyses would be required to plan development at a scheme, enterprise or property scale. Several limitations that may have a bearing on land suitability were out of scope and not assessed as part of this activity (see section 1.1 and 2.1.2 of the cited report), these limitations include biophysical and socio-cultural. For example these land suitability raster datasets do not include consideration of the licensing of water, flood risk, contiguous land, risk of irrigation induced secondary salinity, or land tenure and other legislative controls. Some of these may be addressed elsewhere in NAWRA eg flooding was investigated within the Earth observation remote sensing activity and the risk of irrigation induced secondary salinity was assessed as part of the groundwater investigations.less
These aquaculture suitability raster datasets (in GeoTIFF format) indicate areas of potential suitability for freshwater and marine aquaculture species in earthen or lined ponds. A multi-criteria anal... moreysis, involved the integration of soil data and biophysical characteristics within a GIS spatial analysis environment to predict potential sites to inform decision making. A set of limitations and rules were adapted from (McLeod et al., 2002) to determine suitability. These aquaculture datasets were generated within the ‘Land suitability’ activity in consultation with the agricultural viability activity of the Northern Australia Water Resource Assessment (NAWRA). The aquaculture suitability analysis is described in full in the CSIRO NAWRA published report ‘Aquaculture viability. 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.’ Irvin S, Coman G, Musson D and Doshi A (2018). There are five suitability classes coded 1-5. 1 – Highly suitable land with negligible limitations 2 – Suitable land with minor limitations 3 – Moderately suitable land with considerable limitations 4 – Currently unsuitable land with severe limitations 5 – Unsuitable land with extreme limitations. Each drop in suitability implies that more management input (and cost) is required to achieve incremental increases in production. The soil and land characteristics considered for all configurations include; clay content, sodicity and rockiness; and mainly refer to geotechnical considerations (e.g. construction and stability of pond walls). Other limitations, including slope, and the likely presence of gilgai microrelief and acid sulfate soils, infer more difficult, expensive and therefore less suitable development environments, and a greater degree of land preparation effort. Key considerations for earthen ponds included soil properties preventing pond leakage and soil acidity (pH); the latter taking into account negative growth responses of species from unfavourable pH values (i.e. biological limitation) as well as engineering, as pH may affect the structural integrity of earthen walls. Proximity to sea water was considered for marine species although the characteristics of tides and their suitability for marine aquaculture have not been applied in this analysis therefore the full inland distance of tidal waters has not been explored. The aquaculture suitability rules, including the limitation classes and suitability subclasses for each species by pond configuration, is provided in the above referenced publication. It is important to emphasize that this is a regional-scale assessment: further data collection and analyses would be required to plan development at a scheme, enterprise or property scale. less
These land suitability raster data (in GeoTIFF format) indicates areas of potential suitability for 126 crops and their specific irrigation management systems and seasons in the Mitchell catchment of ... moreQueensland. This data provides improved land evaluation information to identify opportunities and promote detailed investigation for a range of sustainable development options and was created within the ‘Land suitability’ activity of the Northern Australia Water Resource Assessment (NAWRA). There are five land suitability classes coded 1-5. 1 – Highly suitable land with negligible limitations 2 – Suitable land with minor limitations 3 – Moderately suitable land with considerable limitations 4 – Currently unsuitable land with severe limitations 5 – Unsuitable land with extreme limitations. The land suitability evaluation methods used to produce this data are a modification of the Food and Agriculture Organisation (FAO) land evaluation approach. The land suitability analysis is described in full in the CSIRO NAWRA published report referenced in the "Citation" field of this metadata record. A companion dataset showing the reliability of this suitability data (showing areas of the catchment where there is greater or lesser confidence in the accuracy of the suitability data) is also supplied. The naming convention for these data is; ‘crop’ underscore ‘season’ underscore ‘irrigation type’ underscore ‘catchment code’ underscore ‘data type’ eg ‘SorgForage_dry_fur_F_Suit’ is Sorghum forage dry season furrow irrigated Fitzroy catchment suitability. The codes for season are; wet – wet season; dry – dry season; per – perennial; wet-dry – planted late wet season and grown through the dry season eg navy bean, soybean; wet-long – longer growing crops that grow through a wet season eg sugarcane. The codes for irrigation type are; spray – overhead spray irrigation; tric – trickle irrigation; mini-spray – mini spray irrigation; flood – flood irrigation; fur – furrow irrigation; rainfed – rainfed. The codes for data type are; suit – suitability data, CI – reliability data expressed as confusion index. It is important to emphasize that this is a regional-scale assessment: further data collection and detailed soil physical, chemical and nutrient analyses would be required to plan development at a scheme, enterprise or property scale. Several limitations that may have a bearing on land suitability were out of scope and not assessed as part of this activity (see section 1.1 and 2.1.2 of the cited report), these limitations include biophysical and socio-cultural. For example these land suitability raster datasets do not include consideration of the licensing of water, flood risk, contiguous land, risk of irrigation induced secondary salinity, or land tenure and other legislative controls. Some of these may be addressed elsewhere in NAWRA eg flooding was investigated within the Earth observation remote sensing activity and the risk of irrigation induced secondary salinity was assessed as part of the groundwater investigations.less
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
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
