Metadata : SREBA Beetaloo Vegetation Map

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Metadata Details:

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

Version:1.0

Date Metadata Extracted:2025-06-27

Date Metadata Last Updated:2023-04-18

Current URL (HTML format) : http://www.ntlis.nt.gov.au/metadata/export_data?type=html&metadata_id=F2E40C7CAE6D0C61E0532144CD9B7350

Current URL (XML format) : http://www.ntlis.nt.gov.au/metadata/export_data?type=xml&metadata_id=F2E40C7CAE6D0C61E0532144CD9B7350


Citation

ANZLIC Identifier:F2E40C7CAE6D0C61E0532144CD9B7350

Title:SREBA Beetaloo Vegetation Map

Citation Date:2022-11-29

Date Type:creation

Custodian:Department of Environment, Parks and Water Security


Description

Abstract:

The distribution of broad vegetation groups were mapped across the Study Area at a scale of approximately 1:100 000 using an Object Based Image Analysis (OBIA) approach. Field survey data was used to train a random forest model, along with a set of image data layers that are likely to discriminate between the classes and predict their distribution across the Study Area.

Detailed methods and results for the vegetation mapping are provided in Chapter 3 of: Young L, Patykowski J, Leiper I, Nano C, Fisher A, Gillespie G, Barnett G, Buckley K, Hanrahan N, McDonald P, Miller A, Ribot R, Ruykys L, Stewart A, Zimny A (2022). Terrestrial Ecosystems Baseline Report: Strategic Regional Environmental and Baseline Assessment for the Beetaloo Sub-basin. DEPWS Technical Report 36/2022. Flora and Fauna Division, Northern Territory Department of Environment, Parks and Water Security, Darwin.

ANZLIC Search Words:

Spatial Domain:

Bounding Coordinates:


Dataset Status

Dataset ID:

Language:English

Character Set: Latin 1

Progress:completed

Maintenance and Update Frequency:asNeeded

Data Currency Start Date:2022-11-29

Data Currency End Date:2023-01-23

Access Constraint: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:The distribution of vegetation communities was mapped across the study area using an Object Based Image Analysis (OBIA) approach.

Spatial data included
- Sentinel-2 2020 annual composite image
- vegetation indices derived from the Sentinel-2 2020 annual composite image
- seasonal fractional cover derived from Sentinel-2 2020 image data
- canopy height model
- Hydrologically enforced Digital Elevation Model (DEM-h)
- slope and relief derived from DEM-h
- Geoscience Australia Landsat Water Observation Statistics Collection 3
- Maximum Extent of Surface Water
- Distance to Mapped Stream.

Objects were created using the multiresolution segmentation algorithm with a scale parameter of 100 and using an equal weighting of eight image layers: five Sentinel-2 2020 annual composite bands (Blue, Green, Red, Near Infrared, Short Wave Infrared 2) and three vegetation indices (NDVI, NDWI, MSAVI). To classify the objects as vegetation communities, field data points assigned with a vegetation community attribute were used to train a random forest model that was then applied across the study area. All image layers were included as parameters for the random forest model, using the mean and standard deviation calculated for each object for each layer. The classified objects were then exported as polygons in shapefile format for further assessment and post-processing.

Detailed methods and results for the vegetation mapping are provided in Chapter 3 of: Young L, Patykowski J, Leiper I, Nano C, Fisher A, Gillespie G, Barnett G, Buckley K, Hanrahan N, McDonald P, Miller A, Ribot R, Ruykys L, Stewart A, Zimny A (2022). Terrestrial Ecosystems Baseline Report: Strategic Regional Environmental and Baseline Assessment for the Beetaloo Sub-basin. DEPWS Technical Report 36/2022. Flora and Fauna Division, Northern Territory Department of Environment, Parks and Water Security, Darwin.

Positional Accuracy:POLYGON DATA - Polygon boundaries were generated from rectified Sentinel-2 image data provided by QDES with a geometric accuracy of less than 12.5 m (ESA, 2015). This level of accuracy is generally considered high to very high.

Attribute Accuracy:Attribute values, as described in the Data Dictionary below, have been added to each polygon.

Logical Consistency:GIS editing tools were used to rectify all overshoots and undershoots in line work. Polygon topology rules applied are; must not overlap, must not have gaps and each polygon has only one label.

Completeness:Version 1 of this spatial dataset is considered complete. If amendments are made to this dataset, a new version will be released.


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
AREA_HAArea (hectares)
BVG_DESCBroad vegetation group description
BVG_NUMBBroad vegetation group number
GDEGroundwater dependent ecosystem
GDE_CONFGroundwater dependent ecosystem confidence
Confidence of groundwater dependent ecosystem attribution. Classified as High, Moderate or Low.
GDE_NATGroundwater dependent ecosystem nature
The nature/extent of groundwater dependence. Polygons are classified as either Permanent or Seasonal.
GDE_TYPEGroundwater dependent ecosystem type
Groundwater dependent ecosystem type, according to the criteria outlined in the Australian groundwater-dependent ecosystems toolbox (Richardson et al. 2011).
Type 2Groundwater dependent ecosystem classified as Type 2 surface expression
Type 3Groundwater dependent ecosystem classified as Type 3 subsurface presence
SIG_VEGSignificant vegetation
SURVEY_IDSurvey identification code
SURVEY_NMESurvey name

Supplementary Information

Technical descriptions for each broad vegetation group, and nested finer-scale vegetation communities, are found within:
Appendix 3E of Young L, Patykowski J, Leiper I, Nano C, Fisher A, Gillespie G, Barnett G, Buckley K, Hanrahan N, McDonald P, Miller A, Ribot R, Ruykys L, Stewart A, Zimny A (2022). Terrestrial Ecosystems Baseline Report: Strategic Regional Environmental and Baseline Assessment for the Beetaloo Sub-basin. DEPWS Technical Report 36/2022. Flora and Fauna Division, Northern Territory Department of Environment, Parks and Water Security, Darwin.

The spatial data is compiled as part of the SREBA Beetaloo Terrestrial Ecosystems Study.
Download the spatial data and technical reports via srebadata.nt.gov.au
(Search for SREBA Beetaloo vegetation map and SREBA Beetaloo Terrestrial Ecosystems Study - final report)

This record maintained using the NTLIS Metadata Tool