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Great Western Woodlands Phenocam Images and Phenology Data Collection

<p>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. </p>

<p>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.

</p><p>


<p>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 <em>Eucalyptus salmonophloia</em> (salmon gum), with <em>Eucalyptus salubris</em> and <em>Eucalyptus clelandii</em> dominating other research plots. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/great-western-woodlands-supersite/ .


</p><p>Other images collected at the site include photopoints, digital cover photography (DCP), panoramic landscape, and ancillary images of fauna and flora. </p>

Simple

Identification info

Date (Creation)
2012-09-17
Date (Publication)
2021-09-29
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

CSIRO Land and Water (2014-2022) - Macfarlane, Craig Kenneth (Research Scientist)
147 Underwood Avenue, Floreat, 6014, Western Australia, Australia
Floreat
Western Australia
6014
Australia

Co-author

CSIRO Land and Water (2014-2022) - Prober, Suzanne Mary (Senior Principal Research Scientist)
147 Underwood Avenue, Floreat, 6014, Western Australia, Australia
Floreat
Western Australia
6014
Australia
Website
https://www.tern.org.au/

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.
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
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.
Status
On going

Point of contact

CSIRO Land and Water (2014-2022) - Macfarlane, Craig Kenneth (Research Scientist)
147 Underwood Avenue, Floreat, 6014, Western Australia, Australia
147 Underwood Avenue
Floreat
Western Australia
6014
Australia
Topic category
  • Environment

Extent

Description
Located on Credo Station near Kalgoorlie, Western Australia.
N
S
E
W


Temporal extent

Time period
2012-09-17
Title
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
Website
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

Related documentation

Title
Great Western Woodlands SuperSite
Website
Great Western Woodlands SuperSite

Related documentation

Maintenance and update frequency
Daily
GCMD Science Keywords
  • PLANT PHENOLOGY
  • FOREST COMPOSITION/VEGETATION STRUCTURE
  • ECOSYSTEM FUNCTIONS
  • VISIBLE WAVELENGTHS
  • VISIBLE IMAGERY
  • VEGETATION INDEX
  • PLANT CHARACTERISTICS
ANZSRC Fields of Research
  • Forest biodiversity
  • Environmental management
TERN Platform Vocabulary
  • Great Western Woodlands
TERN Instrument Vocabulary
  • gwwl_overstorey_nadir_01
  • gwwl_understorey_oblique_01
  • gwwl_overstorey_oblique_01
TERN Parameter Vocabulary
  • RGB values
  • Unitless
  • green chromatic coordinate
  • Unitless
  • red chromatic coordinate
  • Unitless
QUDT Units of Measure
  • Unitless
  • Unitless
  • Unitless
GCMD Horizontal Resolution Ranges
  • Point Resolution
GCMD Temporal Resolution Ranges
  • 1 minute - < 1 hour
Keywords (Discipline)
  • TERN Ecosystem Processes
  • phenocam images
  • vegetation phenology
  • vegetation greeness
  • vegetation colour
  • phenology transiton
  • gwwl
  • Core 1 ha

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

Data quality info

Hierarchy level
Dataset
Other
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.

Resource lineage

Statement
<p><span data-testid="comment-base-item-53381">For generating ROI chromatic indices the python library <a href="https://pypi.org/project/vegindex/0.7.2/">vegindex (0.7.2)</a> in python is used. For calculating hazeness values the R <a href="https://cran.rstudio.com/src/contrib/hazer_1.1.1.tar.gz">hazer (1.1.1.)</a> and <a href="https://cran.r-project.org/src/contrib/Archive/jpeg/jpeg_0.1-1.tar.gz">jpeg (0.1)</a> libraries are used.</span></p>
Hierarchy level
Dataset
Title
17.1.7 AusCover WingScapes RGB Digital Camera Set Up
Website
http://linked.data.gov.au/def/tern-cv/8eb4a318-7768-4300-bf01-716bd6cf70d8

Method documentation

Title
Karan, M. (2020). SuperSites Vegetation Monitoring Protocols v 1.21. TERN Australian SuperSite Network. Cairns, Australia. doi:10.4227/05/56134C1310F16
Website
http://dx.doi.org/10.4227/05/56134C1310F16

Method documentation

Reference System Information

Reference system identifier
EPSG/EPSG:4326

Reference system type
Geodetic Geographic 2D

Metadata

Metadata identifier
urn:uuid/60c612c0-e159-48b8-819c-67c61888c655

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/60c612c0-e159-48b8-819c-67c61888c655

Point-of-truth metadata URL

Date info (Creation)
2012-09-17T00:00:00.000000+00:00
Date info (Revision)
2025-12-10T10:28:30.848068+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 management Forest biodiversity
GCMD Science Keywords
ECOSYSTEM FUNCTIONS FOREST COMPOSITION/VEGETATION STRUCTURE PLANT CHARACTERISTICS PLANT PHENOLOGY VEGETATION INDEX VISIBLE IMAGERY VISIBLE WAVELENGTHS

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

Associated resources

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