• TERN Geospatial Catalogue
  •   Search
  •   Map

Gingin Banksia Woodland Digital Cover Photography Collection

<p>Digital Cover Photography (DCP) upward-looking images are collected three times per year to capture vegetation cover at Gingin Banksia Woodland SuperSite. These images can be used to estimate Leaf Area Index (LAI).

</p>

<p>

The Gingin Banksia Woodland SuperSite was established in 2011 and is located in a natural woodland of high species diversity with an overstorey dominated by banksia species.

</p><p>

Other images collected at the site include digital hemispherical photography (DHP), photopoints, phenocam time-lapse images taken from fixed under and overstorey cameras, and ancillary images of fauna and flora.

</p>

Simple

Identification info

Date (Creation)
2015-05-03
Date (Publication)
2023-10-24
Date (Revision)
2025-12-10
Edition
1.0

Publisher

Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd
Indooroopilly
QLD
4068
Australia
+61 7 3365 9097

Author

Edith Cowan University - Silberstein, Richard (Associate Professor)
270 Joondalup Drive, Joondalup, Western Australia, 6027, Australia
Joondalup
Western Australia
6027
Australia

Co-author

Edith Cowan University - Lardner, Tim (Research Assistant)
270 Joondalup Drive, Joondalup, Western Australia, 6027, Australia
Joondalup
Western Australia
6027
Australia

Co-author

Edith Cowan University - Mahabbati, Atbin (Research Assistant)
270 Joondalup Drive, Joondalup, Western Australia, 6027, Australia
Joondalup
Western Australia
6027
Australia

Co-author

Edith Cowan University - Just, Michael (MPhil Student)
270 Joondalup Drive, Joondalup, Western Australia, 6027, Australia
Joondalup
Western Australia
6027
Australia

Co-author

University of Western Australia - Kunadi, Ashvath (PhD Student)
35 Stirling Highway, Crawley, Western Australia, 6009, Australia
Crawley
Western Australia
6009
Australia
Website
https://www.tern.org.au/

Purpose
The data from Digital Cover Photography (DCP) at Gingin Banksia Woodland were collected to capture vegetation cover, which can be utilised to estimate Leaf Area Index (LAI),as well as other metrics.
Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.
Credit
This work was funded by the Terrestrial Ecosystem Research Network (TERN), an Australian Government National Collaborative Research Infrastructure Strategy (NCRIS) project. Gingin Banksia Woodland site was established by CSIRO and is now managed by Edith Cowan University. The site is co-located with the Land Ecosystem Atmosphere Program (LEAP) - Gingin.
Status
On going

Point of contact

Edith Cowan University - Silberstein, Richard (Associate Professor)
270 Joondalup Drive, Joondalup, Western Australia, 6027, Australia
270 Joondalup Drive
Joondalup
Western Australia
6027
Australia
Topic category
  • Environment

Extent

Description
Gingin Banksia Woodland site is located on the Swan Coastal Plain, approximately 10 km southwest of Gingin, near Perth, Western Australia.
N
S
E
W


Temporal extent

Time period
2015-05-03
Maintenance and update frequency
Irregular
GCMD Science Keywords
  • CANOPY CHARACTERISTICS
  • VEGETATION COVER
  • VISIBLE IMAGERY
ANZSRC Fields of Research
  • Terrestrial ecology
  • Environmental assessment and monitoring
TERN Platform Vocabulary
  • Gingin Banksia Woodland
  • Gingin Banksia Woodland, WAASWA0005 -this is core1ha
TERN Parameter Vocabulary
  • RGB values
  • Unitless
QUDT Units of Measure
  • Unitless
GCMD Horizontal Resolution Ranges
  • 30 meters - < 100 meters
GCMD Temporal Resolution Ranges
  • irregular
Keywords (Discipline)
  • Digital Cover Photography (DCP)
  • Leaf Are Index (LAI)
  • TERN Ecosystem Processes
  • ggbw

Resource constraints

Use limitation
The Creative Commons Attribution 4.0 International (CC BY 4.0) license allows others to copy, distribute, display, and create derivative works provided that they credit the original source and any other nominated parties. Details are provided at https://creativecommons.org/licenses/by/4.0/
File name
88x31.png
File description
CCBy Logo from creativecommons.org
File type
png
Linkage
https://w3id.org/tern/static/cc-by/88x31.png

Title
Creative Commons Attribution 4.0 International Licence
Alternate title
CC-BY
Edition
4.0
Website
https://creativecommons.org/licenses/by/4.0/

Access constraints
License
Use constraints
Other restrictions
Other constraints
TERN services are provided on an "as-is" and "as available" basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure. <br />Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN. <br /><br />Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting
Other constraints
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.

Resource constraints

Classification
Unclassified

Distribution Information

Distribution format

Distributor

Distributor

Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia
Indooroopilly
Queensland
4068
Australia
OnLine resource
TERN EcoImages Portal

OnLine resource
TERN EcoImages REST API

OnLine resource
ro-crate-metadata.json

Resource lineage

Statement
Images were taken along nine 100-meter transects with a 10-meter gap between them, all within a 1-hectare core area. Along each transect, photos were taken every 10 meters, resulting in a total of 81 images. This method provided a systematic way to cover the area and collect data on vegetation structure. See the following link for additional details: https://linkeddata.tern.org.au/viewer/tern/id/http://linked.data.gov.au/def/tern-cv/0d89056b-c575-412a-ae34-a7a6b620426e
Hierarchy level
Dataset

Reference System Information

Reference system identifier
EPSG/EPSG:4326

Reference system type
Geodetic Geographic 2D

Metadata

Metadata identifier
urn:uuid/5181f063-1cfe-48c6-9b24-94516063b7b9

Title
TERN GeoNetwork UUID

Language
English
Character encoding
UTF8

Point of contact

Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd
Indooroopilly
QLD
4068
Australia
+61 7 3365 9097

Type of resource

Resource scope
Dataset
Metadata linkage
https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/5181f063-1cfe-48c6-9b24-94516063b7b9

Point-of-truth metadata URL

Date info (Creation)
2023-06-05T00:00:00.000000+00:00
Date info (Revision)
2025-12-10T10:08:53.079267+00:00

Metadata standard

Title
ISO 19115-1:2014/AMD 1:2018 Geographic information - Metadata - Fundamentals
Edition
1

Metadata standard

Title
ISO/TS 19115-3:2016
Edition
1.0

Metadata standard

Title
ISO/TS 19157-2:2016
Edition
1.0
Title
Terrestrial Ecosystem Research Network (TERN) Metadata Profile of ISO 19115-3:2016 and ISO 19157-2:2016
Date (published)
2021
Edition
1.0

Identifier

Code
10.5281/zenodo.5652221
Website
https://github.com/ternaustralia/TERN-ISO19115/releases/tag/v1.0

 
 

Overviews

Spatial extent

N
S
E
W


Keywords

ANZSRC Fields of Research
Environmental assessment and monitoring Terrestrial ecology
GCMD Science Keywords
CANOPY CHARACTERISTICS VEGETATION COVER VISIBLE IMAGERY

Provided by

Share on social sites

Access to the portal
Read here the full details and access to the data.

Associated resources

Not available


  •   About
  •   Github
  •