Victorian Soil Electrical Conductivity mapping (VicDSMv1)

dataset: SOIL_EC
This dataset comprises soil property mapping across the whole State of Victoria at 6 prescribed depths. The set depths are 0 to 5 cm, 5 to 15 cm, 15 to 30 cm, 30 to 60 cm, 60 to 100 cm and 100 to 200 cm. The mapped soil properties are pH (1:5 water), EC (dS/m), % clay and soil organic carbon (SOC %). The dataset has been created by the Understanding Soil and Farming Systems project (CMI 102922)and is referred to as Version 1.0 of the Victorian Digital Soil Map (VIC DSM 1.0). Soil point data stored in the Victorian Soil Information System (VSIS) from over 6,000 sites has been standardised to the set depths (using equal area splines or a value weighting derived from the proportional contruibution of each sample to the depth class). This processed data was used to attribute soil land units from a collection of surveys (mapped at 1:100k or better) collated to provide the best map unit coverage across the State. Only data from sites that match the soil type of the dominant soil within the land unit being attributed were used. Sites and land units were assigned an Australian Soil Classification (to the Suborder level) to aid this process. The raw profile data stored in the VSIS (as of March 2013) used to produce these maps were: pH data were either laboratory based (1:5 soil/water suspension) or field pH (Raupach and Tucker 1959). Clay % was laboratory derived particle size data (PSA all methods), or converted field observations of texture class (McKenzie et al. 2000). Organic Carbon measurements methods was either Walkley and Black or Heanes wet oxidation. Electical Conductivity was 1:5 soil/water extract (dS/m). The data is available in polygonal format (i.e. the land units) with soil property median value, standard deviation and assignment qualifier attributes. ESRI grids in ascii format at 100 m cell resolution have been generated from the attributed land unit polygon dataset for each soil property at each depth interval. The assignment qualifiers have been created in order to provide a level of quality evaluation for the soil property assignment to each polygon. Reliability maps generated from these qualifiers have been produced together with each soil property map. The strength of these products is our ability to leverage on the significant investment in soil site and survey mapping data procurement and the capture of tacit knowledge of former soil surveyors. A revised version of these digital soil maps is due to be released at the end of 2014.
 
Citation proposal Citation proposal
(2019)

Victorian Soil Electrical Conductivity mapping (VicDSMv1)

Department of Energy, Environment and Climate Action
 

Description

Title
Victorian Soil Electrical Conductivity mapping (VicDSMv1) 
Alternate title
SOIL_EC 
Resource Type
Dataset  
Purpose
.... 
Supplemental Information
Relationship to other Datasets: Many of the boundaries (ideally) are derived fro the aggregation of land units/land systems, forming a hierarchical land type, particularly in relation to landform. Current Design Issues: - Future Design Issues: - Related Documents: None http://vro.depi.vic.gov.au/dpi/vro/coranregn.nsf/pages/soil_landform_map http://vro.depi.vic.gov.au/dpi/vro/coranregn.nsf/pages/soil_landform_map 
Status
Completed  
 
 

Temporal

Time period
2012-07-012013-06-30 
 
 

Spatial

Spatial representation type
Vector  
Horizontal Accuracy
250m  
Code
4283 
Description
General - Victoria 
N
S
E
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Maintenance

Maintenance and update frequency
As needed  
 
 

Format

 
 

Contacts

  Point of contact

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.
 
 

Keywords

Topic category
  • Farming
  • Geoscientific information
 
 

Resource Constraints

Use limitation
Unrestricted The detail available in the current datasets is good for their mapping scale but is not sufficient to provide landscape analysis at finer scales and should not therefore be used to plan land use strategies at more detailed scales (eg. 1:25 000 and larger). It should be noted that soil attributes (for example texture, sodicity, pH) are expected to vary between acquired soil sites. As the variability of soil attributes within a map unit is difficult to predict, it is important to note that representative soils should be used as a guide only. 
Classification
Unclassified  
 
 

Lineage

Statement
Dataset Source: Land unit survey mapping Soil profile and chemistry data held in, or prepared for, the Victorian Soil Information System Dataset Originality: Primary & Derived 
Description
Collection Method: Field work, API, and derived with other datasets 
Description
Survey of existing soil and land unit mapping data from earlier studies. Compilation of a state-wide land unit map from best available existing land surveys mapping Assignment of dominant soil type (to Australian Soil Classification Suborder level) to each map unit. Assignment of Geomorphology Unit mapping to each land unit polygon. Preparation of Soil Site (profile) data from the Victorian Soil Information System (VSIS); including assignment of ASC Suborder, allocation of GMU tier 3 and land unit polygon numbers to each site, use of quadratic equal area splines to standardise data from observed depths to the 6 set prediction depths. Python scripts to a) select sites that represented a land unit polygon (by location and by soil type) and b) calculation of median and standrad deviation values from these selected sites Validation of the mappng outputs through expert opinion Some modification of site matching emthodology where obvious discprenceies between predicted property median values and expert opinion existed. Much data preparation and cleansing occured throughout the process. 
 
 

Metadata Constraints

Classification
Unclassified  
 
 

Quality

Attribute Quality
Comments
Labelled with third tier geomorph eg. 1.3.1 
Positional Accuracy
Comments
Not defined 
Conceptual Consistency
Comments
Not defined 
Missing Data
Comments
Some gaps exist where the soil property prediction method did not produce a value Completeness Verification: - 
Excess Data
Comments
- 
 
 

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