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Great Western Woodlands Phenocam Images and Phenology Data Collection 

Ver: 1.0
Status of Data: onGoing
Update Frequency: daily
Security Classification: unclassified
Record Last Modified: 2025-12-02
Viewed 219 times
Accessed 20 times
Dataset Created: 2012-09-17
Dataset Published: 2021-09-29
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:
Macfarlane, C. & Prober, S. (2021). Great Western Woodlands Phenocam Images and Phenology Data Collection. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://portal.tern.org.au/metadata/60c612c0-e159-48b8-819c-67c61888c655 
Fixed cameras installed at the Great Western Woodlands SuperSite provide a time series of fine scale data as a long-term record of vegetation structure and condition. This dense time series of phenocam images provides data for analysis of ecological responses to climate variability, and when consolidated across the entire terrestrial ecosystem research network, supports calibration and validation of satellite-derived remote sensing data, ensuring delivery of higher quality results for broader scale environmental monitoring products. Images are captured half hourly during daylight hours. Images and data products, including timeseries of the Green Chromatic Coordinate (Gcc) for a region-of-interest (ROI) that delineates an area of specific vegetation type, are made available on an almost real-time basis. The Great Western Woodlands SuperSite 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 photopoints, digital cover photography (DCP), panoramic landscape, 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 SuperSite was established in 2012 and is managed by CSIRO Land and Water. The Western Australian Department of Biodiversity, Conservation and Attractions (DBCA) manage the Credo Proposed Conservation Reserve and Credo site facilities, including the Field Studies Centre and accommodation on site. DBCA are collaborators on a range of projects. This work was jointly funded by the Terrestrial Ecosystem Research Network (TERN), an Australian Government National Collaborative Research Infrastructure Strategy (NCRIS) project. 
Purpose
Time series of vegetation phenological observations are collected to understand ecosystems annual cycles. Phenological timeseries can be used for ground-truthing remote sensing data products, for studies of climate change impacts on terrestrial ecosystems, and as a standard for earth system models. 
Lineage
For generating ROI chromatic indices the python library vegindex (0.7.2) in python is used. For calculating hazeness values the R hazer (1.1.1.) and jpeg (0.1) libraries are used. 
Method DocumentationKaran, M. (2020). SuperSites Vegetation Monitoring Protocols v 1.21. TERN Australian SuperSite Network. Cairns, Australia. doi:10.4227/05/56134C1310F1617.1.7 AusCover WingScapes RGB Digital Camera Set Up
Procedure StepsData not provided.
Located on Credo Station near Kalgoorlie, Western Australia.
Temporal Coverage
From 2012-09-17 to on going 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

Data Quality Assessment Scope
For each image, across a region-of-interest (ROI) delineating a specific vegetation type, we extract RGB (red, green, blue) colour channel information, with chromatic coordinates and means, quantiles and correlation among colour channels being calculated. Hazeness of the image as well as global environmental light are assessed. 
Data Quality Report
Data not provided. 
Data Quality Assessment Outcome
Data not provided. 
ANZSRC - FOR
Environmental management
Forest biodiversity
GCMD Sciences
BIOSPHERE - ECOSYSTEM FUNCTIONS
BIOSPHERE - FOREST COMPOSITION/VEGETATION STRUCTURE
BIOSPHERE - PLANT CHARACTERISTICS
BIOSPHERE - PLANT PHENOLOGY
LAND SURFACE - VEGETATION INDEX
SPECTRAL/ENGINEERING - VISIBLE IMAGERY
SPECTRAL/ENGINEERING - VISIBLE WAVELENGTHS
Horizontal Resolution
Point Resolution
Instruments
gwwl_overstorey_nadir_01
gwwl_overstorey_oblique_01
gwwl_understorey_oblique_01
Parameters
green chromatic coordinate
red chromatic coordinate
RGB values
Platforms
Great Western Woodlands
Temporal Resolution
1 minute - < 1 hour
Topic
environment
User Defined
Core 1 ha
gwwl
phenocam images
phenology transiton
TERN Ecosystem Processes
vegetation colour
vegetation greeness
vegetation phenology
Author
Macfarlane, Craig Kenneth
Co-Author
Prober, Suzanne Mary
Contact Point
Macfarlane, Craig Kenneth
Publisher
Terrestrial Ecosystem Research Network
Moore, C. E., Beringer, J., Evans, B., Hutley, L. B., and Tapper, N. J. (2017). Tree-grass phenology information improves light use efficiency modelling of gross primary productivity for an Australian tropical savanna, Biogeosciences
Great Western Woodlands 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}. 
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.
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.

Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting 

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