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)
- 2024-05-12
- Edition
- 1.0
Publisher
Author
Co-author
- 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
- Topic category
-
- Environment
Extent
- Description
- Located on Credo Station near Kalgoorlie, Western Australia.
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
- ANZSRC Fields of Research
- TERN Platform Vocabulary
- TERN Instrument Vocabulary
- TERN Parameter Vocabulary
- QUDT Units of Measure
- GCMD Horizontal Resolution Ranges
- GCMD Temporal Resolution Ranges
- 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
- Title
- Creative Commons Attribution 4.0 International Licence
- Alternate title
- CC-BY
- Edition
- 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
Distributor
Distributor
- Distribution format
-
- 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
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
- Date info (Revision)
- 2024-05-12T00:00:00
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