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Data

Boyagin Wandoo Woodland Panoramic Photopoint Image Collection 

Ver: 1.0
Status of Data: completed
Update Frequency: annually
Security Classification: unclassified
Record Last Modified: 2026-01-26
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Dataset Created: 2025-11-07
Dataset Published: 2026-01-26
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLHTTPTERN EcoImages REST APIHTTPTERN EcoImages PortalHTTPro-crate-metadata.json
How to cite this collection:
Moore, C. & Silberstein, R. (2026). Boyagin Wandoo Woodland Panoramic Photopoint Image Collection. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://portal.tern.org.au/metadata/72186ceb-a7d7-4e73-81bf-eb9fa409f242 
High quality digital images are captured using a digital SLR camera at the plots (core 1 hectare vegetation plot) at the TERN Boyagin Wandoo Woodland SuperSite using the panoramic photopoint method. The panoramic photopoint method may be the most informative in open forests/woodlands and rangelands. Three photopoints are established configured in an equilateral triangle (2.5m sides) with the centre marked with a star dropper and the location recorded with DGPS. At each photopoint take photographic sequences in a 360° panorama, with up to 40 photographs with a minimum 50% overlap between consecutive photographs. For more information about the method, see White, el al. (2012) AusPlots Rangelands Survey Protocols Manual Version 1.2.9.
The Boyagin Wandoo Woodland SuperSiteis in the Boyagin Nature Reserve, approximately 12 km west of Pingelly, Western Australia. This location is in the Avon Wheatbelt (AW2-rejuvenated drainage subregion) and has semi-arid (dry) warm Mediterranean climate. The Noongar people are the traditional owners at Boyagin. For additional site information, see https://https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/boyagin-wandoo-woodland-supersite/ .
Other images collected at the site include digital cover photography, phenocam time-lapse images taken from fixed under and overstorey cameras, five-photopoint images and ancillary images of fauna and flora. 
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.

The Boyagin Wandoo Woodland Site is managed by the University of Western Australia, is co-located with the Land Ecosystem Atmosphere Program (LEAP) and is funded by TERN. The flux station is part of the Australian OzFlux Network and the international FLUXNET Network. 
Purpose
The images are to be used where possible to supply images for analysis that produces 3D reconstructions to monitor change over time and provide an estimate of basal area and biomass. 
Lineage
Data not provided. 
Method DocumentationData not provided.
Procedure Steps

1. 

SuperSites Vegetation Monitoring Protocol: Photo-panoramas 

Spatial Description
Boyagin Nature Reserve, Eastern section. West of Pingelly, Western Australia 
Temporal Coverage
From 2012-12-16 to 2018-04-17 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

ANZSRC - FOR
Environmental management
Forest biodiversity
GCMD Sciences
BIOSPHERE - VEGETATION COVER
LAND SURFACE - LAND USE/LAND COVER
SPECTRAL/ENGINEERING - VISIBLE IMAGERY
Horizontal Resolution
100 meters - < 250 meters
Instruments
Canon EOS 5D Mark III
Parameters
plant presence
RGB values
vegetation community site context
Platforms
Boyagin Wandoo Woodland
Temporal Resolution
Annual
Topic
environment
User Defined
boya
Core 1 ha
dry sclerophyll woodland
TERN Ecosystem Processes
Author
Moore, Caitlin
Silberstein, Richard
Contact Point
Moore, Caitlin
Publisher
Terrestrial Ecosystem Research Network
Karan, M. (2020). SuperSites Vegetation Monitoring Protocols v 1.21. TERN Australian SuperSite Network. Cairns, Australia. doi:10.4227/05/56134C1310F16
Boyagin Wandoo Woodland SuperSite
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Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. 
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