Soil and Landscape Grid National Soil Attribute Maps - Total Nitrogen (3" resolution) - Release 2
This is Version 2 of the Australian Total Soil Nitrogen product of the Soil and Landscape Grid of Australia.<br></br>
It supersedes the Release 1 product that can be found at https://doi.org/10.4225/08/546F564AE11F9 <br></br>
The map gives a modelled estimate of the spatial distribution of total nitrogen in soils across Australia.<br></br>
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 ( https://esoil.io/TERNLandscapes/Public/Pages/SLGA/Resources/GlobalSoilMap_specifications_december_2015_2.pdf ). The digital soil attribute maps are in raster format at a resolution of 3 arc sec (~90 x 90 m pixels). An additional measure of model reliability is through assessment of model extrapolation risk. This measure provides users a spatial depiction where model estimates are made within the domain of the observed data or not.<br></br>
Detailed information about the Soil and Landscape Grid of Australia can be found at - <a href=" https://esoil.io/TERNLandscapes/Public/Pages/SLGA/index.html ">SLGA</a><br /><br />
<ul style="list-style-type: disc;"><li>Attribute Definition: Total soil nitrogen;</li>
<li>Units: % (percentage of fine soil mass);</li>
<li>Period (temporal coverage; approximately): 1950-2021;</li>
<li>Spatial resolution: 3 arc seconds (approx 90 m);</li>
<li>Total number of gridded maps for this attribute: 24;</li>
<li>Number of pixels with coverage per layer: 2007M (49200 * 40800);</li>
<li>Data license : Creative Commons Attribution 4.0 (CC BY);</li>
<li>Target data standard: GlobalSoilMap specifications;</li>
<li>Format: Cloud Optimised GeoTIFF;</li></ul>
Simple
Identification info
- Date (Creation)
- 2023-11-01
- Date (Publication)
- 2024-01-22
- Date (Revision)
- 2024-09-23
- Edition
- 2
Identifier
Publisher
Author
Commonwealth Scientific and Industrial Research Organisation - Malone, Brendan ()
Building 101, Clunies Ross Street, Black Mountain, 2601, Australian Capital Territory, Australia
Black Mountain
Australian Capital Territory
2601
Australia
Author
Commonwealth Scientific and Industrial Research Organisation - Searle, Ross (Senior Experimental Scientist)
Building 101, Clunies Ross Street, Black Mountain, 2601, Australian Capital Territory, Australia
Black Mountain
Australian Capital Territory
2601
Australia
Collaborator
Commonwealth Scientific and Industrial Research Organisation
Building 101, Clunies Ross Street, Black Mountain, 2601, Australian Capital Territory, Australia
Black Mountain
Australian Capital Territory
2601
Australia
Collaborator
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia
Indooroopilly
Queensland
4068
Australia
Collaborator
University of Sydney
City Road, Camperdown, New South Wales, 2050, Australia
Camperdown
New South Wales
2050
Australia
Collaborator
Geoscience Australia
101 Jerrabomberra Avenue, Symonston, 2609, Australian Capital Territory, Australia
Symonston
Australian Capital Territory
2609
Australia
Collaborator
Department of Land Resource Management (2012-2016), Northern Territory Government
25 Chung Wah Terrace, Palmerston, Northern Territory, 0830, Australia
Palmerston
Northern Territory
0830
Australia
Collaborator
Office of Environment and Heritage (2011-2019), New South Wales
4 Parramatta Square, 12 Darcy Street, Parramatta, 2150, New South Wales, Australia
Parramatta
New South Wales
2150
Australia
Collaborator
Department of Science, Information Technology, Innovation and the Arts (2012-2015), Queensland Government
400 George Street, Brisbane, Queensland, 4000, Australia
Brisbane
Queensland
4000
Australia
Collaborator
Department of Environment, Water and Natural Resources (2012-2018), South Australian Government
81-95 Waymouth Street, Adelaide, South Australia, 5000, Australia
Adelaide
South Australia
5000
Australia
Collaborator
Department of Primary Industries, Parks, Water and Environment, Tasmanian Government
59 Liverpool Street, Hobart, Tasmania, 7000, Australia
Hobart
Tasmania
7000
Australia
Collaborator
Department of Environment and Primary Industries (2013-2015), Victorian Government
8 Nicholson Street, Melbourne, Victoria, 3000, Australia
Melbourne
Victoria
3000
Australia
Collaborator
Department of Agriculture and Food (2006-2017), Western Australian Government
3 Baron-Hay Court South Perth Western Australia 6151, Australia
South Perth
Western Australia
6151
Australia
- Website
- https://www.tern.org.au/
- Purpose
- The map gives a modelled estimate of the spatial distribution of total nitrogen in soils across Australia.<br> The aim is to operate an open national capability that provides access to verified, science-quality land surface dynamics data and soils information layers, plus high-end data analytics tools that integrated with other TERN observations can meet the needs of ecosystem researchers and actionable information for policy makers and natural resource managers.<br>
- Credit
- We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.
- Credit
- <p></p>This work was jointly funded by CSIRO, Terrestrial Ecosystem Research Network (TERN) and the Australian Government through the National Collaborative Research Infrastructure Strategy (NCRIS).<br> We are grateful to the custodians of the soil site data in each state and territory for providing access to the soil site data, and all of the organisations listed as collaborating agencies for their significant contributions to the project and its outcomes.<br>
- Status
- Completed
Point of contact
Commonwealth Scientific and Industrial Research Organisation - Malone, Brendan ()
Building 101, Clunies Ross Street, Black Mountain, 2601, Australian Capital Territory, Australia
Building 101, Clunies Ross Street
Black Mountain
Australian Capital Territory
2601
Australia
Spatial resolution
- Spatial resolution
- 90
- Topic category
-
- Environment
- Geoscientific information
Extent
- Description
- Australia
N
S
E
W
))
Temporal extent
- Time period
- 1950-01-01 2023-12-01
- Maintenance and update frequency
- Not planned
- GCMD Science Keywords
- ANZSRC Fields of Research
- TERN Parameter Vocabulary
- QUDT Units of Measure
- GCMD Horizontal Resolution Ranges
- GCMD Temporal Resolution Ranges
- Keywords (Discipline)
-
- TERN_Soils
- TERN_Soils_DSM
- Raster
- Continental DSM
- Global Soil Map
- Spatial modelling
- 3-dimensional soil mapping
- Soil Maps
- Digital Soil Mapping
- SLGA
- DSM
- Nitrogen
- total soil nitrogen
- soil nitrogen
Resource constraints
- Use limitation
- The Creative Commons Attribution 4.0 International (CC BY 4.0) license allows others to copy, distribute, display, and create derivative works provided that they credit the original source and any other nominated parties. Details are provided at https://creativecommons.org/licenses/by/4.0/
- File name
- 88x31.png
- File description
- CCBy Logo from creativecommons.org
- File type
- png
- Title
- Creative Commons Attribution 4.0 International Licence
- Alternate title
- CC-BY
- Edition
- 4.0
- Access constraints
- License
- Use constraints
- Other restrictions
- Other constraints
- TERN services are provided on an "as-is" and "as available" basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure. <br />Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN. <br /><br />Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting
- Other constraints
- Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.
Resource constraints
- Classification
- Unclassified
Distribution Information
Distributor
Distributor
Commonwealth Scientific and Industrial Research Organisation
Building 101, Clunies Ross Street, Black Mountain, 2601, Australian Capital Territory, Australia
Black Mountain
Australian Capital Territory
2601
Australia
- Distribution format
-
- OnLine resource
- File Naming Conventions
Distribution Information
Distributor
Distributor
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia
Indooroopilly
Queensland
4068
Australia
- Distribution format
-
- OnLine resource
- Cloud Optimised GeoTIFFs - Total Nitrogen, Release 2
- OnLine resource
-
SLGA Total Nitrogen - v2
NTO_v2
- OnLine resource
- Landscape Data Visualiser - Total Nitrogen, Release 2
- OnLine resource
- ro-crate-metadata.json
Resource lineage
- Statement
- A full description of the methods used to generate this product can be found at - https://aussoilsdsm.esoil.io/slga-version-2-products/total-soil-nitrogen<br></br> The first effort to derive national digital soil mapping of total soil nitrogen (expressed as a percentage of fine soil mass) is published and available on the CSIRO Data Access Portal among other places. The present work sought to update this mapping as part of ongoing efforts to expand and improve Australia’s national mapping and characterisation of its soil resources. Collectively these national soil mapping efforts constitute the Soil and Landscape Grid of Australia. The original work has been deemed as Version 1 (completed 2015), while the new work logically is Version 2 (completed 2023). This work has been made possible through support and funding from Australia’s National Collaborative Research Infrastructure Strategy (NCRIS) via the Terrestrial and Ecosystem Research Network.<br></br> As with the first effort, digital soil mapping is the underpinning framework for the ultimate creation of soil maps in this instance.<br></br> As with the other more recent national digital soil mapping efforts, the SoilDataFederator (Searle 2020) has been instrumental in the dynamic collation of disparate soil observational datasets from across the country. These data have been sourced mainly from each State and Territory Government departments tasked with soil survey and collection. Plus there are other data contributions from Universities and to a lessor extent individual research groups. The SoilDataFederator also taps into the larger CSIRO developed Natsoil database (CSIRO 2020) which holds the data related to research projects and field stations that CSIRO has managed.<br></br> The improvement in digital soil mapping has come about via several mechanism.<br></br> 1. A huge expansion of the available library of data corresponding to each of the main soil state factors has been made possible (Searle et al. 2022). This is through acquisition of new data sets and improvement of others compared with those used for version 1.<br></br> 2. Adoption of machine learning to derive empirical relationships between target variable (total soil nitrogen content) and various data related to the state factors that help determine and control soil variability across landscapes, here the Australian continent and very nearshore islands. While the adoption of ML is not an entirely new advancement, the coupling of it with additional data, and integration of it within a psedo-3D predictive framework permit an improved ability to spatially and vertically characterise soils than Version 1 did.<br></br> 3. Together with a more powerful and streamlined predictive modelling approach, the quantification of uncertainties draws on the use of the UNEEC (Uncertainty Estimation based on Empirical Errors and Clustering; Shrestha and Solomatine 2006) approach instead of bootstrapping approach so that prediction interval bounds are more custom to the variations in state factor information. Bootstrapping tends to create uniform prediction interval ranges, whereas UNEEC can distinguish areas of relatively lower and higher uncertainties based on differences in soil and landscape characteristics. Therefore, for Version 2, the uncertainties are more custom and tightly defined to the environment they are quantified in.<br></br> 4. An approach to understand and characterise issues of model extrapolation has been developed. This seeks to highlight areas where there is high confidence that models are going be unreliable, because these areas are outside the range of the underpinning data used in modelling. This issue is addressed via combination of data geometric and distance-based techniques.<br></br> The sequence of steps below were carried out to develop the Version 2 products:<br></br> - Prepared point and covariate data, including filtering, cleansing, and harmonisation.<br></br> - Point data intersection with covariates.<br></br> - Creation of model and test data sets.<br></br> - Ranger model hyperparameter value optimisation.<br></br> - Ranger model fitting with best hyperparameters.<br></br> - Spatialisation of ranger models.<br></br> - Uncertainty analysis with UNEEC method including rudimentary optimisation of class number size.<br></br> - Spatialisation of model uncertainties.<br></br> - Model extrapolation work with count of observation and boundary method (point data).<br></br> - Ranger model fitting of extrapolation outcomes.<br></br> - Spatialisation of model extrapolation outcomes.<br></br> - Model evaluations with both test data and against SLGA Version 1 products.<br></br> - Delivery of digital soil mapping outputs and computer code to repository.<br></br>
- Hierarchy level
- Dataset
- Title
- Methods Summary - Total Soil nitrogen (%)
- Website
-
https://aussoilsdsm.esoil.io/slga-version-2-products/total-soil-nitrogen
Method documentation
- Title
- Searle, Ross (2020): TERN Soil Data Federator. v1. CSIRO. Software Collection
- Website
-
http://hdl.handle.net/102.100.100/480151?index=1
Method documentation
- Title
- CSIRO (2020): CSIRO National Soil Site Database. v9. CSIRO. Data Collection.
- Website
-
https://doi.org/10.25919/c4br-0r30
Method documentation
Reference System Information
- Reference system identifier
- EPSG/EPSG:4326
- Reference system type
- Geodetic Geographic 2D
Metadata
- Metadata identifier
-
urn:uuid/e9484508-c705-4c23-9195-f26d64b9d4f1
- Title
- TERN GeoNetwork UUID
- Language
- English
- Character encoding
- UTF8
Point of contact
Type of resource
- Resource scope
- Dataset
- Metadata linkage
-
https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/e9484508-c705-4c23-9195-f26d64b9d4f1
Point-of-truth metadata URL
- Date info (Creation)
- 2024-09-02T00:00:00
- Date info (Revision)
- 2024-09-23T00:00:00
Metadata standard
- Title
- ISO 19115-1:2014/AMD 1:2018 Geographic information - Metadata - Fundamentals
- Edition
- 1
Metadata standard
- Title
- ISO/TS 19115-3:2016
- Edition
- 1.0
Metadata standard
- Title
- ISO/TS 19157-2:2016
- Edition
- 1.0
- Title
- Terrestrial Ecosystem Research Network (TERN) Metadata Profile of ISO 19115-3:2016 and ISO 19157-2:2016
- Date (published)
- 2021
- Edition
- 1.0
Identifier
Overviews
Spatial extent
N
S
E
W
Provided by
Associated resources
Not available