Metadata : Soil and Land Assessment of the Southern Part of Flying Fox Station for Irrigated Agriculture. Part B: Digital Soil Mapping and Crop Specific Land Suitability Assessment.

Index:


Metadata Details:

Name:AS/NZS ISO 19115 Geographic Information - Metadata, ANZLIC Metadata Profile

Version:1.0

Date Metadata Extracted:2024-11-23

Date Metadata Last Updated:2021-06-02

Current URL (HTML format) : http://www.ntlis.nt.gov.au/metadata/export_data?type=html&metadata_id=861088D6EE01EFD9E050CD9B21441AD5

Current URL (XML format) : http://www.ntlis.nt.gov.au/metadata/export_data?type=xml&metadata_id=861088D6EE01EFD9E050CD9B21441AD5


Citation

ANZLIC Identifier:861088D6EE01EFD9E050CD9B21441AD5

Title:Soil and Land Assessment of the Southern Part of Flying Fox Station for Irrigated Agriculture. Part B: Digital Soil Mapping and Crop Specific Land Suitability Assessment.

Citation Date:2019-04-09

Date Type:creation

Custodian:Department of Environment, Parks and Water Security


Description

Abstract:

Soil and Land Assessment of the Southern Part of Flying Fox Station for Irrigated Agriculture. Part B: Digital Soil Mapping and Crop Specific Land Suitability Assessment.
Department survey code ROPDSM_100
The field survey was undertaken at a mapping scale of 1:100,000.

This pixel based raster spatial dataset describes findings from a soil and land suitability investigation undertaken during 2016-2019 to assess irrigated agricultural potential on part of Flying Fox Station using digital soil mapping (DSM) methodologies. Land suitability class outcomes are presented for the 17 crop groups assessed.
Digital soil mapping land suitability outcomes were produced in parallel with traditional land unit mapping and a general land capability assessment (see Report A of this report series). Outcomes are indicative of potential for agricultural development and management constraints across the study area. All limitations attached to a pixel are included within the spatial dataset.

CAUTION:
Land suitability maps were created using attribute models at a scale of 1: 100,000.
When assessing specific areas within the mapping it is recommended a site inspection is undertaken to establish unmapped variation and confirm mapping accuracy on the ground.
The mapping does not indicate, imply or ascertain the likelihood of water availability or the granting of appropriate water extraction licensing needed to satisfy the irrigation requirements of the potential agricultural development options needed. Land that would likely be used if surface water catchment was implemented is currently mapped as Class 4 land due to the significant management and financial implications.

ANZLIC Search Words:

Spatial Domain:

Bounding Coordinates:


Dataset Status

Dataset ID:

Language:English

Character Set: Latin 1

Progress:completed

Maintenance and Update Frequency:notPlanned

Data Currency Start Date:2016-06-01

Data Currency End Date:2021-06-02

Access Constraint:Download the spatial data package (contains spatial data, maps and reports) via data.nt.gov.au/

You are licensed to use the geospatial products on the terms and conditions set out in: Creative Commons Attribution 4.0 International Public License (CC BY 4.0) at: creativecommons.org/licenses/by/4.0/legalcode
If you do not agree to the terms and conditions you must not use the geospatial products.
You are free to copy, communicate and adapt the licensed material, provided that you abide by the licence terms (including Attribution) and attribute the licensed material using the statement:

Supplied by the Department of Environment, Parks and Water Security. Copyright Northern Territory Government.


Data Quality

Lineage:Agricultural land suitability rasters were created by using pixel-based (30x30 m) digital soil mapping (DSM) methodologies. The process involved identifying potential crops for the Roper River region and determining land suitability limitations and their necessary components needed to model crop specific land suitability outcomes (i.e. slope, flooding, drainage etc.). Cross-validation modelling (in RStudio) was used to analyse relevant data layers (including satellite imagery, digital elevation modelling and radiometrics data) and field data collected during the project to create individual attribute models. Attribute models were then combined in RStudio and classified according to the Irrigated agricultural land suitability framework for the Roper River Region of the Northern Territory to create final land suitability outcome rasters for each crop group.

Crop specific land suitability outcomes are presented as a raster dataset joined to the attribute table (stored in ESRI file geodatabase) with each pixel recording the overall land suitability class, major limitations and all individual limitation categories assessed. Crop group outcomes differ based on individual soil by crop interactions.

Positional Accuracy:Digital soil mapping (DSM) uses pixel-based (30x30 m)

Attribute Accuracy:The attribute information conforms to the 'Australian Soil and Land Survey Field Handbook' at time of capture. Attributes are assigned based on DSM modelled attribute outcomes (on a 30x30 m pixel basis). The department's list of attribute values assigned to each pixel is described in the Data Dictionary below.

Each land unit has been attributed with a suitability class to describe the POTENTIAL FOR IRRIGATED AGRICULTURE from Class 1 suitable land with negligible limitations to Class 5 unsuitable land with extreme limitations. Seventeen crop groups have been assessed for potential agricultural land use within 2 categories, IRRIGATED CROPS (Tree, Row, Root, Grain and fibre, Small seeded, Pulse, Industrial, Hay and Forage and Forestry Crops) and RAIN-FED CROPS (Hay and forage crops).

For detailed information about Land Suitability Classes, review Appendix 3, in the accompanying report. (See Supplementary Information in this metadata record for report PDF download details).

Logical Consistency:NA

Completeness:Complete


Contacts

NameOrganisationPositionRolePhoneFaxEmail
Data Requests OfficerDepartment of Environment, Parks and Water SecurityGeospatial Services Branch (on behalf of department)distributordatarequests.depws@nt.gov.au

Data Dictionary

AttributeAttribute DescriptionPossible CodeCode Description
01. Suitability_classOverall suitability class based on most limiting attribute
02. Major_limitationsList of most limiting attributes
03. Water_erosionEstimated erosion hazard based on % slope and inherent soil erodibility (K factor); soil coherence and regolith sediment delivery criteria
04. FloodingAverage flood recurrence interval (ARI); period of inundation; landscape position (particularly proximity to a watercourse); depth and velocity of erosive flood flows (where available)
05. Infiltration_recharge Surrogate infiltration/permeability characteristics from surface soil texture, subsoil texture and sand fraction; presence of impermeable layers
06. Soil_water_availabilityEstimated plant available water capacity (mm/1.0m) from particle size analyses summed over horizon thickness and effective rooting depth
07. Nutrient_deficiencyInherent fertility (N, P, K, cations, micronutrients) and cation exchange capacity in the surface soil; subsoil texture; profile permeability
08. Soil adhesivenessSurface soil condition and texture
09. Soil_compactionSoil texture/PSA, shrink-swell properties, clay mineralogy
10. Soil_depthDepth to rock, hardpan, continuous gravel layer or other impenetrable feature
11. Excessive_permeabilitySurrogate infiltration/permeability characteristics from surface soil texture, subsoil texture and sand fraction; presence of impermeable layers
12. Surface_conditionSurface soil condition, structure, texture and sand fraction; ESP of surface soil (and plough zone where relevant)
13. Vertic propertiesSoil texture/PSA, shrink-swell properties, clay mineralogy, linear shrinkage tests
14. GravelsSurface coarse fragments (2-60 mm diameter) abundance (%)
15. Cobbles_and_stonesSurface coarse fragments (60-600 mm diameter) abundance (%)
16. Boulders_and_outcropSurface coarse fragments (>600 mm diameter) and outcrop abundance (%)
17. SalinityMean profile soil salinity to 1.0m (ECe & Cl); landscape drainage restrictions; presence of salt tolerant vegetation
18. MicroreliefSize of gilgai microrelief; proportion of land surface affected
19. Soil_wetnessDrainage class and profile permeability; indicators include depth to and degree of bleaching, mottling, Mn segregations, gley features, soil colour, texture, structure; vegetation characteristics; field evidence of water saturation; presence of impermeable layers

Supplementary Information

Department Survey Code (Soils Survey): ROPDSM_100
This spatial dataset should not be used at scales greater than 1 : 100,000

BIBLIOGRAPHIC REFERENCE:
--------------------------------------------
Andrews K, McGrath N and Burgess J (2019).
Agricultural Land Suitability Series, Report 14B.
Soil and Land Assessment for Irrigated Agriculture of the Southern Part of Flying Fox Station. Part B: Digital Soil Mapping and Crop Specific Land Suitability.
Technical Report 13/2019D, Department of Environment and Natural Resources, Northern Territory Government, Darwin, NT.

- Download the report (PDF) via the Northern Territory Library; hdl.handle.net/10070/829192
- Download map products created for this survey; www.ntlis.nt.gov.au/mpds/get_file?file_id=8844

OTHER REFERENCES:
---------------------------------
Andrews K, McGrath N, Burgess J, Wright A and Walton S (2019).
Agricultural Land Suitability Series, Report 14A.
Soil and Land Assessment for Irrigated Agriculture of the Southern Part of Flying Fox Station. Part A: Land Resources and General Land Capability.
Technical Report 12/2019D, Department of Environment and Natural Resources, Northern Territory Government, Darwin, NT.

- Metadata record: www.ntlis.nt.gov.au/metadata/export_data?type=html&metadata_id=6589A5D125EFB385E050CD9B2144202B
- Download the report (PDF) via the Northern Territory Library; hdl.handle.net/10070/820013
- Download map products created for this survey; www.ntlis.nt.gov.au/mpds/get_file?file_id=8844

This record maintained using the NTLIS Metadata Tool