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).

Site information for soil profile information collected from field observations and sampling in both the agricultural and rangeland areas of Western Australia. Data has been entered from field site cards into a database.

We measured the spectra of 4606 surface soil samples from across Australia using a vis-NIR spectrometer. These spectra provide an integrative measure that provides information on the fundamental characteristics and composition of the soil, including colour, iron oxide, clay and carbonate mineralogy, organic matter content and composition, the amount of water present and particle size. This soil information content of the spectra was summarised using a principal component analysis (PCA). We used model trees to derive statistical relationships between the scores of the PCA and 31 predictors that were readily available and we thought might best represent the factors of soil formation (climate, organisms, relief, parent material, time and the soil itself). The models were validated and subsequently used to produce digital maps of the information content of the spectra, as summarised by the PCA, with estimates of prediction error at 3-arc seconds (around 90 m) pixel resolution. The maps might be useful in situations requiring high-resolution, quantitative soil information e.g. in agricultural, environmental and ecologic modelling and for soil mapping and classification. Attributes: Units of measurement: 1. Principal component 1; 2. Principal component 3; 3. Principal component 3. For interpretations please see Viscarra Rossel & Chen (2011). Data Type: Float Grid. Map Projection: Geographic. Datum: GDA94. Map units: Decimal degrees. Resolution: 0.00083333333 degrees. File Header Information: ncols 48874; nrows 40373; xllcorner 112.91246795654; yllcorner -43.642475129116; cellsize 0.00083333333333333; NODATA_value -9999; byteorder LSBFIRST.

우리나라의 토양을 405개(토양통)로 구분하고 각 토양의 특성정보를 제공합니다.* 토양특성 : 토색, 토성, 경사, 침식 정도, 토심, 자갈함량, 반층의 유무, 토양배수등급, 모암, 토양반응 등

We used Digital Soil Mapping (DSM) technologies combined with the real-time collations of soil attribute data from TERN's recently developed Soil Data Federation System, to produce a map of Australian Soil Classification Soil Order classes with quantified estimates of mapping reliability at a 90 m resolution.

This dataset depicts land use across South Australia according to the Australian Land Use and Management (ALUM) Classification Version 8 aggregated from surveys in 2008, 2014 and 2016. It forms part of the Australian Collaborative Land Use and Management Program (ACLUMP) land use mapping. The dataset is a combination of land use data mapped over recent years. The data were derived from an initial desktop interpretation of aerial imagery followed by an on-ground field survey. This dataset will be updated when any new land use mapping is undertaken in a part of SA.

Soil-landscape mapping covering Western Australia at the systems level of the soil-landscape mapping hierarchy. Systems derived from soil-landscape mapping (best available) Version April 2018. Intended scale of usage 1:250, 000. Mapping conforms to a nested hierarchy established to deal with the varying levels of information resulting from the variety of scales in mapping. For further information refer to Department of Agriculture Resource Management Technical Reports No. 280 and 313.

Soil-landscape mapping covering Western Australia at the best available scale (Version 05.02). It is a compilation of various surveys at different scales varying between 1:20,000 and 1:3,000,000. Mapping conforms to a nested hierarchy established to deal with the varying levels of information resulting from the variety of scales in mapping. For further information refer to Department of Agriculture Resource Management Technical Reports RMTR No. 280 and RMTR No. 313. Land capability and land quality attribution is included, refer to Department of Agriculture Resource Management Technical Report No. 298 for a description of the methodology employed.

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.

This is Version 1 of the Australian Drained Upper Limit Volumetric Water Content (DUL) product of the Soil and Landscape Grid of Australia. The map gives a modelled estimate of the spatial distribution of Drained Upper Limit Volumetric Water Content soil hydraulic property in soils across Australia. The Soil and Landscape Grid of Australia has 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 attribute at six depths: 0-5 cm, 5-15 cm, 15-30 cm, 30-60 cm, 60-100 cm and 100-200 cm. These depths are consistent with the specifications of the GlobalSoilMap.net project. The digital soil attribute maps are in raster format at a resolution of 3 arc sec (~90 x 90 m pixels). Detailed information about the Soil and Landscape Grid of Australia can be found at - https://esoil.io/TERNLandscapes/Public/Pages/SLGA/index.html Attribute Definition: Drained Upper Limit Volumetric Water Content; Units: percent; Period (temporal coverage; approximately): 1950-2021; Spatial resolution: 3 arc seconds (approx 90 m); Total number of gridded maps for this attribute: 18; Number of pixels with coverage per layer: 2007M (49200 * 40800); Data license : Creative Commons Attribution 4.0 (CC BY); Target data standard: GlobalSoilMap specifications; Format: Cloud Optimised GeoTIFF;