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East Kimberley vegetation structure

The Vegetation Structure classes dataset was derived from Vegetation Height Model (VHM) and Fractional Cover Model (FCM) LiDAR products. The National Vegetation Information System framework was used to classify vegetation height and canopy/cover density into (sub-)stratum, growth forms, and structural formation classes. The classifications contain descriptions and spatial extents of the vegetation types for the East Kimberley LiDAR survey area. The displayed classifications include 19 dominant structural formation classes, and 43 dominant sub-structural formation classes for lower-, mid-, and upper stratum.

High resolution LiDAR imagery, including Digital Elevation Model (DEM), Canopy Height Model (CHM), Vegetation Height Model (VHM), Vegetation Cover Model (VCM) and Fractional Cover Model (FCM) surfaces were acquired for the East Kimberley area in June 2017. All the data were released in 2019 (Geoscience Australia, 2019).

For the purposes of vegetation structure mapping, the two input datasets were resampled, classified and combined to produce a vegetation structure map for the East Kimberley area. The methods are described by Lawrie et al. (2012), with the following differences:

• resampling used Focal Statistic Min in ArcGIS as it more accurately represented vegetation extent

• VHM was used instead of CHM as CHM did not include low vegetation (i.e ground cover).

• VHM and FCM were classified into height and foliage cover classes using the Australian Vegetation Attribute Manual (NVIS Technical Working Group, 2017).


Authors acknowledge the tremendous work of the Geoscience Australia Elevation team who carried out post processing, classification, production, quality assurance and delivery of all released LiDAR data products (see Geoscience Australia, 2019). In particular, the authors thank Graham Hammond, Kevin Kennedy, Jonathan Weales, Grahaem Chiles, Robert Kay, Shane Crossman, and Simon Costelloe.


Geoscience Australia, 2019. Kimberley East - LiDAR data. Geoscience Australia, Canberra. C7FDA017-80B2-4F98-8147-4D3E4DF595A2 https://pid.geoscience.gov.au/dataset/ga/129985


Lawrie, K.C., Brodie, R.S., Tan, K.P., Gibson, D., Magee, J., Clarke, J.D.A., Halas, L., Gow, L., Somerville, P., Apps, H.E., Christensen, N.B., Brodie, R.C., Abraham, J., Smith, M., Page, D., Dillon, P., Vanderzalm, J., Miotlinski, K., Hostetler, S., Davis, A., Ley-Cooper, A.Y., Schoning, G., Barry, K. and Levett, K. 2012. BHMAR Project: Data Acquisition, processing, analysis and interpretation methods. Geoscience Australia Record 2012/11. 826p.


NVIS Technical Working Group. 2017 Chapter 4.0 NVIS attributes listed and described in detail. In: Australian Vegetation Attribute Manual: National. Vegetation Information System, Version 7.0. Department of the Environment and Energy, Canberra. Prep by Bolton, M.P., deLacey, C. and Bossard, K.B. (Eds).

Simple

Identification info

Date (Creation)
2019
Date (Publication)
2020-06-16T03:55:07
Citation identifier
Geoscience Australia Persistent Identifier/https://pid.geoscience.gov.au/dataset/ga/134101

Citation identifier
Digital Object Identifier/https://dx.doi.org/10.26186/134101

Cited responsible party
Role Organisation / Individual Name Details
Publisher

Commonwealth of Australia (Geoscience Australia)

Voice
Author

Halas, L.

Author

Weales, J.

Purpose

GIS dataset to use for vegetation and groundwater studies as part of the EFTF Program

Point of contact
Role Organisation / Individual Name Details
Point of contact

Commonwealth of Australia (Geoscience Australia)

Voice
Point of contact

Halas, L.

Resource provider

Minerals, Energy and Groundwater Division

Spatial representation type
Topic category
  • Geoscientific information

Extent

N
S
E
W


Temporal extent

Time period
2017-06-09 2017-06-15
Maintenance and update frequency
Not planned

Resource format

Title

Product data repository: Various Formats

Website

Data Store directory containing the digital product files

Data Store directory containing one or more files, possibly in a variety of formats, accessible to Geoscience Australia staff only for internal purposes

theme.ANZRC Fields of Research.rdf
  • ENVIRONMENTAL SCIENCE AND MANAGEMENT

  • Landscape Ecology

Project
  • Exploring for the Future

Project
  • EFTF

Place
  • East Kimberley

Theme
  • Vegetation

Process
  • LiDAR

Keywords
  • Published_External

Resource constraints

Title

Creative Commons Attribution 4.0 International Licence

Alternate title

CC-BY

Edition

4.0

Website

http://creativecommons.org/licenses/

Access constraints
License
Use constraints
License

Resource constraints

Title

Australian Government Security ClassificationSystem

Edition date
2018-11-01T00:00:00
Website

https://www.protectivesecurity.gov.au/Pages/default.aspx

Classification
Unclassified

Associated resource

Association Type
Cross reference
Title

Application of high resolution LiDAR data for hydrogeological investigations

Citation identifier
134627

Citation identifier
1bcdfdf1-ca27-45e8-8fb4-32aa1bf68070

Website

https://pid.geoscience.gov.au/dataset/ga/134627

Link to eCat metadata record landing page

Associated resource

Association Type
Was derived from
Title

Kimberley East - LiDAR data

Citation identifier
129985

Citation identifier
bea01a3e-76f6-4e3f-9bfc-5f07d912d8e5

Website

https://pid.geoscience.gov.au/dataset/ga/129985

Link to eCat metadata record landing page

Associated resource

Association Type
Operated on by
Title

East Kimberley Remotely Sensed Products WMS

Citation identifier
140105

Citation identifier
dbf32032-38dc-433d-b0cb-7cbdfbbf5d4c

Website

https://pid.geoscience.gov.au/service/ga/140105

Link to eCat metadata record landing page

Associated resource

Association Type
Operated on by
Title

East Kimberley Remotely Sensed Products WMTS

Citation identifier
140106

Citation identifier
de88cea9-e163-485e-8bb5-4a3f03214d9b

Website

https://pid.geoscience.gov.au/service/ga/140106

Link to eCat metadata record landing page

Associated resource

Association Type
Operated on by
Title

East Kimberley Remotely Sensed Products WCS

Citation identifier
140107

Citation identifier
f9e921e1-5521-4e3e-a97d-1eb6b2ecccd3

Website

https://pid.geoscience.gov.au/service/ga/140107

Link to eCat metadata record landing page

Language
English
Character encoding
UTF8

Distribution Information

Distributor contact
Role Organisation / Individual Name Details
Distributor

Commonwealth of Australia (Geoscience Australia)

Voice
OnLine resource

Data package [159.2 MB]

Data package [159.2 MB]

Distribution format
  • file geodatabase

OnLine resource

East Kimberley Remotely Sensed Products WMS

East Kimberley Remotely Sensed Products WMS

Distribution format
  • OGC:WMS

OnLine resource

East Kimberley Remotely Sensed Products WMTS

East Kimberley Remotely Sensed Products WMTS

Distribution format
  • OGC:WMTS

OnLine resource

East Kimberley Remotely Sensed Products WCS

East Kimberley Remotely Sensed Products WCS

Distribution format
  • OGC:WCS

Resource lineage

Statement

Both VHM and FCM were resampled to 5 m using Focal Statistic Min in ArcGIS, from their original spatial resolution of 2 m and 10 m respectively. The VHM was classified into 8 height classes and associated growth forms, (sub-) stratum codes and descriptions, and structural formation classes using the National Vegetation Information System (NVIS) Australian Vegetation Attribution Manual (NVIS Technical Working Group, 2017). FCM derived from LiDAR provides a percentage foliage cover for each 10 m cell. Foliage cover was defined for each stratum as 'the proportion of the ground, which would be shaded if sunshine came from directly overhead' and includes branches and leaves. The Fractional Cover Model (FCM) was converted to 7 foliage cover classes with corresponding cover code information (e.g. open, sparse, etc; see NVIS Technical Working Group, 2017). The 8 VHM and 7 FCM classes were then combined into 19 structural classes within Upper, Mid and Lower stratum, and 43 sub-stratum structural classes, further subdivided into higher (1), mid (2), and lower (3) sub-stratums (see NVIS Technical Working Group, 2017).

Metadata constraints

Title

Australian Government Security Classification System

Edition date
2018-11-01T00:00:00
Website

https://www.protectivesecurity.gov.au/Pages/default.aspx

Classification
Unclassified

Metadata

Metadata identifier
urn:uuid/0c038457-7c96-4393-b3c3-eb6b29d89001

Title

GeoNetwork UUID

Language
English
Character encoding
UTF8
Contact
Role Organisation / Individual Name Details
Point of contact

Commonwealth of Australia (Geoscience Australia)

Voice
Point of contact

Halas, L.

Type of resource

Resource scope
Dataset
Name

East Kimberley vegetation structure

Alternative metadata reference

Title

Geoscience Australia - short identifier for metadata record with

uuid

Citation identifier
eCatId/134101

Metadata linkage

https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/metadata/0c038457-7c96-4393-b3c3-eb6b29d89001

Metadata linkage

https://ecat.ga.gov.au:80/geonetwork/srv/eng/catalog.search#/metadata/0c038457-7c96-4393-b3c3-eb6b29d89001

Date info (Creation)
2020-01-31T03:55:38
Date info (Revision)
2020-01-31T03:55:38

Metadata standard

Title

AU/NZS ISO 19115-1:2014

Metadata standard

Title

ISO 19115-1:2014

Metadata standard

Title

ISO 19115-3

Title

Geoscience Australia Community Metadata Profile of ISO 19115-1:2014

Edition

Version 2.0, September 2018

Citation identifier
https://pid.geoscience.gov.au/dataset/ga/134101

 
 

Spatial extent

N
S
E
W


Keywords

EFTF Exploring for the Future LiDAR Vegetation
theme.ANZRC Fields of Research.rdf
ENVIRONMENTAL SCIENCE AND MANAGEMENT Landscape Ecology

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Associated resources

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