Water erosion potential, based on Soil Landscape Map Units of Southern South Australia, describes the susceptibility of land to sheet or rill erosion due to overland flow of water. Mapping shows the dominant water erosion potential class, while detailed proportion data are supplied for calculating respective areas of each water erosion potential class (spatial data statistics). Also available for download: Soil Water Erosion Potential (SA).

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 Soil 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.

In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey calculated four land cover basin characteristics rasters as part of preparing the South Carolina StreamStats 2021 application. These datasets are raster representations of impervious surface, developed, forested, and storage land cover attributes within the South Carolina StreamStats 2021 study area, and will be served in the South Carolina StreamStats 2021 application to describe delineated watersheds. The StreamStats application provides access to spatial analytical tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate watershed areas, get basin characteristics and estimates of flow statistics, and more.

The raster data represent the amount of wet sulfate deposition in kilograms per hectare from 2014 to 2016. Summary data in this indicator were provided by EPA’s Office of Atmospheric Programs. Wet deposition data are from the National Atmospheric Deposition Program/National Trends Network (NADP, 2018) (http://nadp.slh.wisc.edu/). This indicator aggregates data across 3-year periods to avoid influences from short-term fluctuations in meteorological conditions, and wet deposition data were interpolated among monitoring stations to generate the map shown.

The raster data represent the amount of wet nitrate deposition in kilograms per hectare from 2014 to 2016. Summary data in this indicator were provided by EPA’s Office of Atmospheric Programs. Wet deposition data are from the National Atmospheric Deposition Program/National Trends Network (NADP, 2018) (http://nadp.slh.wisc.edu/). This indicator aggregates data across 3-year periods to avoid influences from short-term fluctuations in meteorological conditions, and wet deposition data were interpolated among monitoring stations to generate the map shown.

The _Land tenure of Australia 2010–11 to 2015–16, 250 m_ is a data package of seamless continental rasters combining tenure information from state, territory, and Australian government agencies at a resolution of 250 by 250 metres. The data package contains an independent raster for each target period, a combined change raster at the most detailed classification level and a data caveat raster of known uncertainties in the product. The land tenure datasets provide the spatial representation of the legal regime in which land is owned, leased, reserved or unallocated to a defined purpose in Australia. The datasets were constructed by combining jurisdictional land title information from digital cadastre databases or their equivalents with Indigenous land grant instruments areas. They are inputs to the first _National Land Account, Experimental Estimates_ released jointly by the Australian Bureau of Statistics and the Department of Agriculture, Water and the Environment. They allow the reporting of tenure change between 2010–11 and 2015–16 at national, state, and regional levels. Tenure information in this dataset is classified according to a four-tiered hierarchical structure, ordered in increasing level of detail. Level 1 distinguishes between the basic land title types of freehold and Crown land. Level 2 splits Crown land into leasehold, dedicated or reserved for Crown purposes and other Crown land. Level 3 further distinguishes Crown land, defining leasehold type or Crown purposes type based on term and purpose. Leasehold types are split into freeholding lease, pastoral perpetual lease, other perpetual lease, pastoral term lease, other term lease, and other lease. Crown purposes are split into nature conservation reserve, multiple-use public forest and other Crown purposes. Level 4 distinguishes land with an Indigenous land grant, either Crown land held on behalf of, or freehold land owned by, traditional owner groups. Level 4 does not include native title which applies alongside tenure. The _Land tenure of Australia 2010–11 to 2015–16, 250 m_ data package is a product of the Australian Collaborative Land Use and Management Program. Further information and contents associated with this data package can be accessed from the ABARES Land use and Management website: https://www.awe.gov.au/abares/aclump/land_tenure_2010-11_2015-16

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 of 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.

The values in this raster are unit-less scores ranging from 0 to 1 that represent normalized dollars per acre damage claims from antelope on Wyoming lands. This raster is one of 9 inputs used to calculate the "Normalized Importance Index."