Showing results for: [ Soil Sciences not elsewhere classified ]
Topographic Position Index (TPI) is a topographic position classification identifying upper, middle and lower parts of the landscape. This dataset includes a mask that identifies where topographic pos... moreition cannot be reliably derived in low relief areas.
The TPI product was derived from Smoothed Digital Elevation Model (DEM-S; ANZCW0703014016), which was derived from the 1 arc-second resolution SRTM data acquired by NASA in February 2000. A masked version of the TPI product was derived using the slope relief classification product.
The TPI data are available at 1 arc-second and 3 arc-second resolution.
The 3 arc-second resolution dataset was generated from the 1 arc-second TPI product and masked by the 3” water and ocean mask datasets.
1181.2 TERN Facility No9 InfoGrid GRUNDY - National Elevation and Terrain Datasets - Published 25 Aug 2020
Machine-readable representation of the classifiers described in chapter 8 Soil Profile, by R.C. McDonald and R.F. Isbell, in Australian soil and land survey field handbook (3rd edn).
A soil profile i... mores a vertical section of a soil from the soil surface through all its horizons to parent material, other consolidated substrate material or selected depth in unconsolidated material.less
ICSU/CODATA Commission on Standards - Australian soil vocabularies - Published 24 Aug 2020
The Atlas of Australian Soils (Northcote et al, 1960-68) was compiled by CSIRO in the 1960's to provide a consistent national description of Australia's soils. It comprises a series of ten maps and as... moresociated explanatory notes, compiled by K.H. Northcote and others. The maps are published at a scale of 1:2,000,000, but the original compilation was at scales from 1:250,000 to 1:500,000.
Mapped units in the Atlas are soil landscapes, usually comprising a number of soil types. The explanatory notes include descriptions of soils landscapes and component soils. Soil classification for the Atlas is based on the Factual Key.
The Factual Key (Northcote 1979) was the most widely used soil classification scheme prior to the Australian Soil Classification (Isbell 2002). It dates from 1960 and was essentially based on a set of about 500 profiles largely from south-eastern Australia. It is an hierarchical scheme with 5 levels, the most detailed of which is the principal profile form (PPF). Most of the keying attributes are physical soil characteristics, and can be determined in the field.
A number of map unit interpretations have been developed to assist with national perspectives on soil information. They are also available for download.
1. Interpretations of soil properties based on the dominant Northcote classification (1992): The first set of interpretations of soil properties for the dominant soil of each landscape. Soil permeability, water holding capacity, texture, reaction trend, nutrient response and depth characteristics are assigned to relative classes. Report and many caveats are included.
2. Australian Soil Classification conversion (1996): A table that converts the Atlas of Australian Soils mapping units to an Australian Soil Classification soil Order was compiled to aid the production of Concepts and rationale of the Australian Soil Classification. Caveats and colours included.
3. Estimations of soil properties based on the dominant Northcote classification: McKenzie et al (2000) compiled tables estimating typical ranges for soil properties associated with each principal profile form (PPF) of the Factual Key. These tables were intended for use with the Atlas of Australian Soils, to provide estimates of specific soil properties for each map-unit.
Interpretations for each soil type were based on the range observed in approximately 7000 soil profiles held within the CSIRO National Soil Database, with ancillary data from Northcote et al. (1975). The systematic structure of the Factual Key makes interpolation between soil classes relatively straightforward. Soil properties were estimated using a simple two-layer model of the soil consisting of an A and B horizon. The following properties have been estimated for both the A and B horizon: horizon thickness, texture, clay content, bulk density, grade of pedality and saturated hydraulic conductivity. The estimates of thickness, texture, bulk density and pedality have been used to estimate parameters that describe the soil water retention curve - these allow calculation of the available water capacity for each layer. Interpretations relating to the complete soil profile are presence or absence of calcrete and gross nutrient status.
Caveats on the use of these interpretative tables to predict soil properties spatially are discussed by McKenzie et al (2000). A very large proportion of soil variation within a region occurs over short distances and cannot be resolved by reconnaissance scale maps. The qualitative nature of the Atlas and restrictions associated with the classification scheme and structure of the soil-landscape model impose further constraints. Technical reported included.
Legacy data - - Published 21 Jul 2020
The CSIRO National Soil Site database (Natsoil) currently contains descriptions of over 21, 000 soil site investigations. The data includes morphological descriptions, chemical, physical and mineralog... moreical properties and spectral predictions, along with soil specimen management data. The database and The Australian National Soil Archive provide the foundation for the development of a national soil spectral library and also support TERN Landscapes national soil property modelling through a federated collation of available soil databases.
Data is managed within the SQLServer environment, and made available via a Microsoft Access snapshot on request, which is assigned a new DOI.
Up to date content is also available via an ANZSoilML complex WFS service.
The database schema is based on the SITES V2 national standard. See supporting file.less
Legacy data - Australian Soil Resource Information System - Published 18 Jun 2020
The ASTER geoscience map of Australia is a set of digital geoscience products generated from satellite ASTER data. ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) is a Japanese ... moreimaging instrument on board USA’s TERRA satellite. The multispectral imaging sensor is the world’s first “geoscience tuned” satellite Earth Observing System. The ASTER geoscience maps of Australia represent the first continent-scale maps of the Earth’s surface mineralogy.
ASTER has 14 spectral bands spanning wavelengths sensitive to important rock forming minerals, including: Iron oxides; clays; carbonates; quartz; muscovite and chlorite.
Each ASTER image covers a 60 by 60 km area with individual pixel elements ranging from 15 to 90 m suitable for geoscience mapping from continent (1:2,500,000) down to mineral prospect (1:50,000) scale. The Australian mosaic is sourced from ~35,000 ASTER scenes with approximately 3500 used in the final mosaic.
The products are: False colour; CSIRO Landsat TM Regolith Ratios; Green vegetation content; Ferric oxide content; Ferric oxide composition; Ferrous iron index; Opaque index; AIOH group content; AIOH group composition; Kaolin group index; FeOH group content; MgOH group content; MgOH group composition; Ferrous iron content in MgOH/carbonate; Silica Index; Quartz Index; Gypsum Index.
COE - 3D Mineral Mapping - Mineral Mapping - Published 06 Mar 2020
Lidar point data, images, digital elevation models and related data collected for the Norfolk Island Water Resource Assessment project.
Norfolk Island Water Resource Assessment - Lidar data acquisition - Published 17 Feb 2020
The digital 3-dimenional (3D) mineral mapping suite of Queensland comprises ~20 “standardized” products at the spectral resolution of the ASTER (Advanced Space-borne Thermal Emission and Reflection Ra... morediometer) sensor and generated from publicly-available satellite, airborne, field and drill core spectral data spanning the visible near infrared (VNIR; 0.4 to 1.0 µm), shortwave infrared (SWIR; 1.0 to 2.5 µm) and thermal infrared (TIR; 7.5 to 12.0 µm) wavelength regions, including:
1. Satellite ASTER maps at both 30 m and 90 m pixel resolution with complete coverage of the state of Queensland, i.e. 1.853 million km²;
2. Airborne HyMap maps at ~5 m pixel resolution with a coverage of ~25,000 km2 from areas across north Queensland;
3. Field point samples (~300) from the National Geochemical Survey of Australia (NGSA) collected from a depth of 0-10 cm of flood overbank sediments;
4. Drill-core profiles (~20) of the National Virtual Core Library (NVCL) selected from the area around the Georgetown seismic line (07GA-IG2).
Key to the processing of the remote sensing data-sets (ASTER and HyMap) was the implementation of unmixing methods to remove the effects dry and green vegetation. This unmixing was not applied to the Australian ASTER geoscience maps released in 2012 (called here Version 1 or V1) resulting in extensive areas with little/no mineral information because of the need to apply masks. The vegetation unmixing methods used in the Version 2 (V2) processing of the ASTER and HyMap imagery has resulted in very few areas without coherent mineral information.
The resultant V2 “mineral group” products were designed to measure mineral information potentially useful for mapping: (i) primary rock composition; (ii) superimposed alteration effects; and (iii) regolith cover. These V2 products may assist in mapping soil properties and groundwater conditions. However their relatively low spectral resolution (based on ASTER’s 14 VNIR-SWIR-TIR bands) means that they do not provide the high level of mineralogical detail available from hyperspectral systems (>100 spectral bands), like HyMap and the HyLogger. Nevertheless, the relatively low spectral resolution of ASTER means that all other sensor data can be spectrally resampled to that resolution. Furthermore, the ASTER global data archive, which now spans entire Earth’s land surface <80degrees latitude, means that it can be used as global base-map for integrating all other spectral data.
3D Mineral Map of Queensland - Stage 1 - mineral mapping - Published 06 Dec 2019
Visible-near infrared to shortwave infrared (VNIR-SWIR) and midwave infrared to thermal infrared (MIR-TIR) fourier transform infrared spectroscopy (FTIR) measurements of the National Geochemical Surve... morey of Australia soil samples from Geoscience Australia (GA). Samples were measured at the Australian Resources Research Center in Kensington, WA by CSIRO and GA staff between 2013-2016. A total of 1308 samples were measured using the two spectral methods.less
TCP06 EOI Optical Cal Val - Soil spectral measurements - Published 08 Nov 2019
Long-term modelling scenarios under historical (1970-2017) and future climate (2018-2050) using UNSATCHEM module in HYDRUS-1D to assess the longevity of irrigation, using a range of available water re... moresources, in four main soil groups.
File extensions: .in = input file, .out = output file, .dat and .h1d are system files that can't be opened.less
Sustainable Expansion of Recycled Water-Irrigated Agriculture/Horticulture in North Adelaide Plains - HYDRUS modelling - Published 30 Oct 2019
This data collection includes the data generated under the modelling component of a GRDC project. The APSIM model was optimized using data set collected from Termora, Horsham, and Karoonda to simulate... more observed soil mineral nitrogen dynamics, water dynamics, residue recovery and crop production. The key outputs are the optimized two model parameters: the decay rate constant of humic organic carbon and carbon use efficiency of microbial decomposition. less
GRDC CSP00186 Stubble Initiative Module1 - - Published 26 Jun 2019
Scientific reference collection of physical samples of Australian soils. There are over 100,000 soil specimens in the collection: 70,000 fully archived and 30,000 stored specimens (still to be archive... mored). The specimen collection reflects the changes in research focus over the last 70 years and expects to continue this into the future.
The starting collection, which was received at the founding of the Soil Archive in 2003, has been complemented by more recent submissions from other agencies and current CSIRO projects from a range of Business Units (predominantly Agriculture & Food, Land & Water). Researchers can submit their soil specimens to the Soil Archive. These soil specimens will need to be accompanied by the collected soil data. For more information, see our website.
The sub sample collection of the Soil Archive holds 43,000 specimens of fine earth (< 2 mm) (10 gram duplicates of the larger specimens) that are suitable to near-infrared spectroscopic analysis. less
Legacy data - Australian Soil Resource Information System - Published 25 Jun 2019
This data collection includes the APSIM-simulated soil organic carbon (SOC) dynamics in the top 30 cm soil layers at 1890 sites across Australian cropping areas. To generate the data, APSIM was firstl... morey constrained by observed data reported in NCAS report No. 36 (See the data here: https://doi.org/10.4225/08/54F0786D6D923). Then, the constrained APSIM model will run from 2009 to 2070 at the daily time step using current comment management practices and under different nitrogen, residue management and climate change scenarios. The output variables include a series of attributes of soil carbon, nitrogen, water dynamcis and crop biomass, yield. less
Grains Industry Life Cycle Inventory - - Published 20 Jun 2019
This data collection includes APSIM simulation of crop yield, nitrogen and water management, soil nitrogen and carbon dynamics in Huang-Huai-Hai Plain, China. A winter-wheat and summer maize double cr... moreopping system was simulated under a series of management scenarios including nitrogen and water management. less
Scientific benchmarks for sustainable agricultural intensification - - Published 20 Jun 2019
History: rotation phase for each plot from 1925 to 1993.
Grain yield: for each plot from 1925 to 1993.
Total dry matter: for each plot from 1925 to 1991.
Pasture cuts: for each plot from 1950 to 1991.... more
Pasture composition: for each plot from 1950 to 1991.
Monthly climate data: from 1925 to 1993.
Soil carbon data: measured total organic carbon (by combustion) and size fractions (by MIR-PLSR prediction) and delta 14C values for select plots for 1963, 1973, 1983 and 1993 for each of 0-10 cm and 10-22.5 cm depths.less
1179.2 Uncertainty quantification in soi - Soil carbon measurement - Published 23 May 2019
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
Supplementary files which accompany CRC LEME Open File Report 63.
CSIRO Division of Exploration Geoscience Report Unnumbered. Second Impression 1998.
Legacy data - CRC LEME Open File Report Series - Published 30 Apr 2018
Supplementary files which accompany CRC LEME Open File Report 188. The report documents a laterite geochemical database with multi-element analyses of 4441 samples from the central Yilgarn Craton, Wes... moretern Australia. This data set comprises samples taken as part of an exploration program to detect kimberlite pipes in the Yilgarn Craton.less
Legacy data - CRC LEME Open File Report Series - Published 16 Apr 2018
Supplementary files which accompany CRC LEME Open File Report 75. Covering CSIRO-AMIRA research projects : laterite geochemistry (P240), Yilgarn lateritic environments (P240A), weathering processes (P... more241) and dispersion processes (P241A).less
Legacy data - CRC LEME Open File Report Series - Published 04 Apr 2018
Supplementary files which accompany CRC LEME Open File Report 28, Volumes 1 and 2.
CSIRO Division of Exploration Geoscience Report 161R, 1991. Second Impression 1998.
Legacy data - CRC LEME Open File Report Series - Published 03 Apr 2018
Supplementary files which accompany CRC LEME Open File Report 27,
CSIRO Division of Exploration Geoscience Report 154R, 1990. Second Impression 1998.
Traditional soil maps have helped us to better understand soil, to form our concepts and to teach and transfer our ideas about it, and so they have been used for many purposes. Although, soil maps are... more available in many countries, there is a need for them to be updated because they are often deficient in that their spatial delineations and their descriptions are subjective and lack assessments of uncertainty. Updating them is a priority for federal soil surveys worldwide as well as for research, teaching and communication. New data from sensors and quantitative ‘digital’ methods provide us with the tools to do so. Here, we present an approach to update large scale, national soil maps with data derived from a combination of traditional soil profile classifications, classifications made with visible–near infrared (vis–NIR) spectroscopy, and digital soil class mapping (DSM). Our results present an update of the Australian Soil Classification (ASC) orders map. The overall error rate of the DSM model, tested on an independent validation set, was 55.6%, and a few of the orders were poorly classified. We discuss the possible reasons for these errors, but argue that compared to the previous ASC maps, our classification was derived objectively, using currently best available data sets and methods, the classification model was interpretable in terms of the factors of soil formation, the modelling produced a 1×1 km resolution soil map with estimates of spatial uncertainty for each soil order and our map has no artefacts at state and territory borders.less
CLSD TERN Facility No 9 Info Grid - National Soil Grid - Published 28 Mar 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).
Available Water Capacity;
Bulk Density - Whole Earth;
Effective Cation Exchange Capacity;
pH - CaCl2;
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;
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
These are the soil attribute products of the Tasmanian Soil Attribute Grids. There are 8 soil attribute products available from the TERN Soil Facility. Each soil attribute product is a collection of 6... more 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.
Attributes: pH - Water (pHw); Electical Conductivity dS/m (ECD); Clay % (CLY); Sand % (SND); Silt % (SLT); Bulk Density - Whole Earth Mg/m3 (BDw); Organic Carbon % (SOC); Coarse Fragments >2mm (CFG).
These products were developed using datasets held by the Tasmanian Department of Primary Industries Parks Water & Environment (DPIPWE) Soils Database. The mapping was made by using spatial modelling and digital soil mapping (DSM) techniques to produce a fine resolution 3 arc-second grid of soil attribute values and their uncertainties, across all of Tasmania.
Note: Previous versions of this collection contained a Depth layer. This has been removed as the units do not comply with Global Soil Map specifications.less