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Data

TERN Great Western Woodlands Site Panoramic Photopoint Image Collection 

Ver: 1.0
Status of Data: completed
Update Frequency: notPlanned
Security Classification: unclassified
Record Last Modified: 2025-01-28
Viewed 141 times
Accessed 13 times
Dataset Created: 2014-12-10
Dataset Published: 2021-09-19
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLHTTPTERN EcoImages PortalHTTPTERN EcoImages REST APIHTTPro-crate-metadata.json
How to cite this collection:
Prober, S., Macfarlane, C. & Wiehl, G. (2021). TERN Great Western Woodlands Site Panoramic Photopoint Image Collection. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://portal.tern.org.au/metadata/TERN/736072a3-3ee0-4ca3-9c15-09f6e8dbd3bb 
High quality digital images are captured using a digital SLR camera at the plots (core 1 hectare vegetation plot) at the TERN Great Western Woodlands Site 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 Great Western Woodlands Site was established in 2012 in the Credo Conservation Reserve. The site is in semi-arid woodland and was operated as a pastoral lease from 1907 to 2007. The core 1 ha plot is characterised by Eucalyptus salmonophloia (salmon gum), with Eucalyptus salubris and Eucalyptus clelandii dominating other research plots. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/great-western-woodlands-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 Great Western Woodlands Site was established in 2012 and is managed by CSIRO Land and Water. 
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. Vegetation Monitoring Protocol: <a href="http://linked.data.gov.au/def/ausplots-cv/03ba5e75-f322-4f80-a1e3-5a845e4dd807">Photo-panoramas</a>

Located in Credo Conservation Reserve, Western Australia
Temporal Coverage
From 2014-12-10 to 2015-09-16 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

ANZSRC - FOR
Forest biodiversity
Environmental management
GCMD Sciences
SPECTRAL/ENGINEERING - VISIBLE IMAGERY
BIOSPHERE - VEGETATION COVER
LAND SURFACE - LAND USE/LAND COVER
Horizontal Resolution
250 meters - < 500 meters
Instruments
Canon EOS 550D
Sony Alpha NEX-7
Parameters
flora occurrence
RGB values
vegetation community site context
Platforms
Great Western Woodlands
Temporal Resolution
Annual
Topic
environment
User Defined
TERN Ecosystem Processes
Core 1 ha
WAACOO0020
gwwl
Author
Prober, Suzanne Mary
Co-Author
Macfarlane, Craig Kenneth
Wiehl, Georg
Contact Point
Macfarlane, Craig Kenneth
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
Great Western Woodlands Site
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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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