Field | Value |
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Title |
Digital soil maps for key soil properties over New South Wales, version 2.0 |
Abstract |
Digital soil maps (DSMs) are prepared through quantitative modelling techniques that are based on relationships between soil attributes and the environment. DSMs are presented over NSW for a range of key soil properties, including soil organic carbon (SOC), pH, cation exchange capacity, sum-of-bases, available phosphorous, bulk density, clay, silt and sand (total and fine). The maps are at 100 m spatial resolution and cover ten soil depth intervals down to 2 m, consistent with widely used Australian and international systems. Random Forest decision tree modelling techniques were applied. Validation results for the maps indicate generally moderate to high performance and effectiveness. Maps of mean plus upper 95% and lower 5% prediction limits are available. The maps provide at least a useful first approximation of these soil properties across the State. The products are described more fully in the technical report: Gray (2023), Digital soil mapping of key soil properties over NSW, version 2.0 (76p). The report and raster layers can be downloaded through the NSW environmental data portal SEED (https://www.seed.nsw.gov.au/) and are also viewable through the DPE soil and landscape spatial viewer eSPADE (http://espade.environment.nsw.gov.au ). All maps, including prediction limits and intervals, are also available through the DPE data broker. |
Resource locator |
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Data Quality Statement |
Name: Data Quality Statement Protocol: WWW:DOWNLOAD-1.0-http--download Description: Data quality statement for Digital soil maps for key soil properties over New South Wales, version 2.0 Function: download |
Technical report, April 2023 |
Name: Technical report, April 2023 Protocol: WWW:DOWNLOAD-1.0-http--download Description: Provides details on methodology, example maps with prediction intervals, validation results and discussion on the use of the products. Function: download |
SOC NSW DSMs to 1m |
Name: SOC NSW DSMs to 1m Protocol: WWW:DOWNLOAD-1.0-http--download Description: Digital maps of soil organic carbon to 1 m, as concentration (%), mass (kg/m3) and stocks (t/ha) Function: download |
pH NSW DSMs to 2m |
Name: pH NSW DSMs to 2m Protocol: WWW:DOWNLOAD-1.0-http--download Description: Digital soil maps of pH over NSW, multiple depths to 2 m Function: download |
Basic cations & CEC NSW DSMs |
Name: Basic cations & CEC NSW DSMs Protocol: WWW:DOWNLOAD-1.0-http--download Description: Digital soil maps for sum-of-bases and CEC over NSW, multiple depths to 2 m Function: download |
P bray NSW DSMs to 2m |
Name: P bray NSW DSMs to 2m Protocol: WWW:DOWNLOAD-1.0-http--download Description: Digital soil maps of available P (bray) over NSW, multiple depths to 2 m Function: download |
Bulk density NSW DSMs to 30cm |
Name: Bulk density NSW DSMs to 30cm Protocol: WWW:DOWNLOAD-1.0-http--download Description: Digital soil maps of bulk density (t/m3) over NSW, several depths to 30 cm Function: download |
Particle sizes NSW DSMs to 2m |
Name: Particle sizes NSW DSMs to 2m Protocol: WWW:DOWNLOAD-1.0-http--download Description: Digital soil maps for sand, silt and clay over NSW, multiple depths to 2 m Function: download |
DSM prediction limits NSW all properties |
Name: DSM prediction limits NSW all properties Protocol: WWW:DOWNLOAD-1.0-http--download Description: Digital soil maps of prediction limits (upper 95% and lower 5%) for all key soil properties over NSW, 0-30 cm depth Function: download |
Unique resource identifier |
|
Code |
22f358d9-e59f-4b00-8089-99aaa8d0f7d0 |
Presentation form |
Model digital |
Edition |
version 2.0 |
Dataset language |
English |
Metadata standard |
|
Name |
ISO 19115 |
Edition |
2016 |
Dataset URI |
https://datasets.seed.nsw.gov.au/dataset/22f358d9-e59f-4b00-8089-99aaa8d0f7d0 |
Purpose |
For better understanding and management of NSW soils and broader environmental protection |
Status |
Completed |
Spatial representation type |
grid |
Spatial reference system |
|
Code identifying the spatial reference system |
4283 |
Spatial resolution |
100 m |
Field | Value |
---|---|
Topic category |
Field | Value |
---|---|
Keyword set |
|
keyword value |
SOIL SOIL-Chemistry SOIL-Physics |
Originating controlled vocabulary |
|
Title |
ANZLIC Search Words |
Reference date |
2008-05-16 |
Geographic location |
|
West bounding longitude |
141 |
East bounding longitude |
154 |
North bounding latitude |
-37.7 |
South bounding latitude |
-28 |
NSW Place Name |
all NSW |
Vertical extent information |
|
Minimum value |
-100 |
Maximum value |
2228 |
Coordinate reference system |
|
Authority code |
urn:ogc:def:cs:EPSG:: |
Code identifying the coordinate reference system |
5711 |
Temporal extent |
|
Begin position |
1985-01-01 |
End position |
N/A |
Dataset reference date |
|
Resource maintenance |
|
Maintenance and update frequency |
Not planned |
Contact info | |
Contact position |
Data Broker |
Organisation name |
NSW Department of Climate Change, Energy, the Environment and Water |
Telephone number |
131555 |
Email address |
|
Web address |
https://www.nsw.gov.au/departments-and-agencies/dcceew |
Responsible party role |
pointOfContact |
Field | Value |
---|---|
Lineage |
The digital soil maps of the ten soil properties were prepared at multiple depth intervals down to 2 m. They were based on soil survey and laboratory data available over NSW. These data were randomly divided into training and validation subsets, at an approximate 80-20% ratio. Environmental covariate data representing the main soil forming factors (climate, geology, topography, land use/cover and age) were applied in the initial training models and final maps production. These were derived from environmental data grids covering the entire State with some site specific field survey data. The modelling and digital mapping applied Random Forest decision tree techniques, with 200 trees in each of 10 bootstrap runs. Upper 95% and lower 5% prediction limits of each map were also derived. Validation of the final digital soil maps was carried out using the independent validation data, with Lin's concordance correlation coefficient, RMSE, mean error and other standard statistical metrics. |
Field | Value |
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Limitations on public access |
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Field | Value |
---|---|
Responsible party |
|
Contact position |
Data Broker |
Organisation name |
NSW Department of Climate Change, Energy, the Environment and Water |
Telephone number |
131555 |
Email address |
|
Web address |
https://www.nsw.gov.au/departments-and-agencies/dcceew |
Responsible party role |
pointOfContact |
Field | Value |
---|---|
Metadata point of contact |
|
Contact position |
Data Broker |
Organisation name |
NSW Department of Climate Change, Energy, the Environment and Water |
Telephone number |
131555 |
Email address |
|
Web address |
https://www.nsw.gov.au/departments-and-agencies/dcceew |
Responsible party role |
pointOfContact |
Metadata date |
2024-09-16T23:27:50.345807 |
Metadata language |
|