This layer was produced by the Organic Soils Mapping (OSM) project, a project undertaken by DPIPWE Natural Values Conservation Branch between 2019 and 2021. This project received grant funding from the Australian Government through the Australian Heritage Grants Program, funding from 2017 Tasmanian Bushfire Mitigation fund and The Tasmanian Wilderness World Heritage Area fund. This project has used existing (legacy) data from previous Tasmanian land resource assessment studies, spatial data sets, expert desktop inputs, and newly captured site data from the AHG grant project activities. This project has collated these data to produce this and a further 6 spatial layers that show (presence /absence sites) and predict the likely distribution and characteristics of Organic Soils in Tasmania. The project was focused on the Tasmanian Wilderness World Heritage Area (TWWHA), with modelling applied state-wide to assist in organic soil identification elsewhere. The Organic Soil Mapping was undertaken to specifically identify organic soil extent in the TWWHA and to increases the understanding of the organic soil landscapes and characteristics in greater Tasmania. Organic soil areas are recognised globally as ecologically significant. These landscapes support a diverse range of ecosystems. They also provide and control ecosystem services/processes and provide highly valued carbon and water storage functions. These project outputs aim to improve and assist conservation and management of these important soil landscapes. The mapping was performed using a combination of 30m resolution modelling (Digital Soil Mapping (DSM)), expert digitising, with TASVEG, soil mapping and wetlands datasets as masks. A DSM approach was chosen due to the sparse and limited nature of existing and new field data due to the remote and difficult access. DSM involves using soil site data, intersected with a range of spatial environmental predictor datasets (covariates) to develop a series of landscape models, showing the variation in various soil properties between calibration points through interpolation and extrapolation (Kidd et al 2015). A similar process was used to create e a map of OSM depth (cm) using recorded field depth.

This layer was produced by the Organic Soils Mapping (OSM) project, a project undertaken by DPIPWE Natural Values Conservation Branch between 2019 and 2021. This project received grant funding from the Australian Government through the Australian Heritage Grants Program, funding from 2017 Tasmanian Bushfire Mitigation fund and The Tasmanian Wilderness World Heritage Area fund. This project has used existing (legacy) data from previous Tasmanian land resource assessment studies, spatial data sets, expert desktop inputs, and newly captured site data from the AHG grant project activities. This project has collated these data to produce this and a further 6 spatial layers that show (presence /absence sites) and predict the likely distribution and characteristics of Organic Soils in Tasmania. The project was focused on the Tasmanian Wilderness World Heritage Area (TWWHA), with modelling applied state-wide to assist in organic soil identification elsewhere. The Organic Soil Mapping was undertaken to specifically identify organic soil extent in the TWWHA and to increases the understanding of the organic soil landscapes and characteristics in greater Tasmania. Organic soil areas are recognised globally as ecologically significant. These landscapes support a diverse range of ecosystems. They also provide and control ecosystem services/processes and provide highly valued carbon and water storage functions. These project outputs aim to improve and assist conservation and management of these important soil landscapes. The mapping was performed using a combination of 30m resolution modelling (Digital Soil Mapping (DSM)), expert digitising, with TASVEG, soil mapping and wetlands datasets as masks. A DSM approach was chosen due to the sparse and limited nature of existing and new field data due to the remote and difficult access. DSM involves using soil site data, intersected with a range of spatial environmental predictor datasets (covariates) to develop a series of landscape models, showing the variation in various soil properties between calibration points through interpolation and extrapolation (Kidd et al 2015). A similar process was used to create e a map of OSM drainage as a continuous index, where values correspond to the Australian Soil and Land Survey Field Handbook (https://www.soilscienceaustralia.org.au/about/what-we-do/standards/).

This layer was produced by the Organic Soils Mapping (OSM) project, a project undertaken by DPIPWE Natural Values Conservation Branch between 2019 and 2021. This project received grant funding from the Australian Government through the Australian Heritage Grants Program, funding from 2017 Tasmanian Bushfire Mitigation fund and The Tasmanian Wilderness World Heritage Area fund. This project has used existing (legacy) data from previous Tasmanian land resource assessment studies, spatial data sets, expert desktop inputs, and newly captured site data from the AHG grant project activities. This project has collated these data to produce this and a further 6 spatial layers that show (presence /absence sites) and predict the likely distribution and characteristics of Organic Soils in Tasmania. The project was focused on the Tasmanian Wilderness World Heritage Area (TWWHA), with modelling applied state-wide to assist in organic soil identification elsewhere. The Organic Soil Mapping was undertaken to specifically identify organic soil extent in the TWWHA and to increases the understanding of the organic soil landscapes and characteristics in greater Tasmania. Organic soil areas are recognised globally as ecologically significant. These landscapes support a diverse range of ecosystems. They also provide and control ecosystem services/processes and provide highly valued carbon and water storage functions. These project outputs aim to improve and assist conservation and management of these important soil landscapes. The mapping was performed using a combination of 30m resolution modelling (Digital Soil Mapping (DSM)), expert digitising, with TASVEG, soil mapping and wetlands datasets as masks. A DSM approach was chosen due to the sparse and limited nature of existing and new field data due to the remote and difficult access. DSM involves using soil site data, intersected with a range of spatial environmental predictor datasets (covariates) to develop a series of landscape models, showing the variation in various soil properties between calibration points through interpolation and extrapolation (Kidd et al 2015). A range of OSM characteristics; extent and likelihood, depth, and drainage were combined into a map of classified characetristics.

This layer was produced by the Organic Soils Mapping (OSM) project, a project undertaken by DPIPWE Natural Values Conservation Branch between 2019 and 2021. This project received grant funding from the Australian Government through the Australian Heritage Grants Program, funding from 2017 Tasmanian Bushfire Mitigation fund and The Tasmanian Wilderness World Heritage Area fund. This project has used existing (legacy) data from previous Tasmanian land resource assessment studies, spatial data sets, expert desktop inputs, and newly captured site data from the AHG grant project activities. This project has collated these data to produce this and a further 6 spatial layers that predict the likely distribution and characteristics of Organic Soils in Tasmania. The project was focused on the Tasmanian Wilderness World Heritage Area (TWWHA), with modelling applied state-wide to assist in organic soil identification elsewhere. The Organic Soil Mapping was undertaken to specifically identify organic soil extent in the TWWHA and to increases the understanding of the organic soil landscapes and characteristics in greater Tasmania. Organic soil areas are recognised globally as ecologically significant. These landscapes support a diverse range of ecosystems. They also provide and control ecosystem services/processes and provide highly valued carbon and water storage functions. These project outputs aim to improve and assist conservation and management of these important soil landscapes. This point dataset has been collated from a combination of legacy and contemporary land resource studies and is designed to assist land managers see where actual on the ground works and assessment activities within likely organic soil areas which have confirmed the presence or absence of organic soils. Organic soils sites for the purpose of this work are defined as soil description locations with any surface Organic Materials deeper than 5cm that could constitute as a fuel in a fire situation. These soils differ from the Australian Soil Classification 3rd Edition (ASC) definition of ORGANOSOL and this term should be avoided when referring to these sites. These sites include soils from a range of ASC Soil Orders including Organosol, Hydrosol, Podosols and Tenosol that display a dominantly peaty surface layer or have organic materials (>20cm) in the uppermost surface soil layers.

This layer was produced by the Organic Soils Mapping (OSM) project, a project undertaken by DPIPWE Natural Values Conservation Branch between 2019 and 2021. This project received grant funding from the Australian Government through the Australian Heritage Grants Program, funding from 2017 Tasmanian Bushfire Mitigation fund and The Tasmanian Wilderness World Heritage Area fund. This project has used existing (legacy) data from previous Tasmanian land resource assessment studies, spatial data sets, expert desktop inputs, and newly captured site data from the AHG grant project activities. This project has collated these data to produce this and a further 6 spatial layers that show (presence /absence sites) and predict the likely distribution and characteristics of Organic Soils in Tasmania. The project was focused on the Tasmanian Wilderness World Heritage Area (TWWHA), with modelling applied state-wide to assist in organic soil identification elsewhere. The Organic Soil Mapping was undertaken to specifically identify organic soil extent in the TWWHA and to increases the understanding of the organic soil landscapes and characteristics in greater Tasmania. Organic soil areas are recognised globally as ecologically significant. These landscapes support a diverse range of ecosystems. They also provide and control ecosystem services/processes and provide highly valued carbon and water storage functions. These project outputs aim to improve and assist conservation and management of these important soil landscapes. The mapping was performed using a combination of 30m resolution modelling (Digital Soil Mapping (DSM)), expert digitising, with TASVEG, soil mapping and wetlands datasets as masks. A DSM approach was chosen due to the sparse and limited nature of existing and new field data due to the remote and difficult access. DSM involves using soil site data, intersected with a range of spatial environmental predictor datasets (covariates) to develop a series of landscape models, showing the variation in various soil properties between calibration points through interpolation and extrapolation (Kidd et al 2015). A similar process was used to create e a map of OSM humification as a continuous index, where values correspond to the Australian Soil and Land Survey Field Handbook texture classes (https://www.soilscienceaustralia.org.au/about/what-we-do/standards/).

This map displays the distribution of organic soils in the agricultural region of Alberta. Organic soils consist of layers of material with greater than 30 percent organic matter and a total thickness of greater than 40 cm. Organic soils are generally saturated with water for most of the year unless drained. Saturation inhibits decomposition and encourages continued accumulation of organic material. Drainage of these soils can result in a rapid increase in decomposition and a reduction in the thickness of the organic material. This resource was created in 2002 using ArcGIS.

Soil-landscape mapping covering Western Australia at the zones level of the soil-landscape mapping hierarchy. Zones derived from soil-landscape mapping (best available) Version February 2025. Intended scale of usage 1:1, 000, 000.

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.