Gingin Banksia Woodland Phenocam Images and Phenology Data Collection
<p>Fixed cameras installed at the Gingin Banksia Woodland 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 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>The Gingin Banksia Woodland SuperSite was established in 2011 and is located in a natural woodland of high species diversity with an overstorey dominated by Banksia species. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/gingin-banksia-woodland-supersite/ .</p>
<p>Other images collected at the site include photopoints, hemispherical upward photographs, and ancillary images of fauna and flora. </p>
Simple
Identification info
- Date (Creation)
- 2012-05-14
- Date (Publication)
- 2021-11-03
- Date (Revision)
- 2024-12-16
- 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 TERN Gingin Banksia Woodland SuperSite was established by CSIRO and is now managed by Edith Cowan University. The site is co-located with the Land Ecosystem Atmosphere Program (LEAP) – Gingin. It is supported by NCRIS through TERN, Edith Cowan University and the WA Government through the Department of Jobs, Tourism, Science and Innovation. This work was jointly funded by the Terrestrial Ecosystem Research Network (TERN), an Australian Government National Collaborative Research Infrastructure Strategy (NCRIS) project.
- Status
- Completed
Point of contact
- Topic category
-
- Environment
Extent
- Description
- TERN Gingin Banksia Woodland SuperSite is located on the Swan Coastal Plain, approximately 10 km southwest of Gingin and 80 km north of Perth, Western Australia.
Temporal extent
- Time period
- 2012-05-14 2021-04-23
- Title
- Gingin Banksia Woodland SuperSite
- Website
-
Gingin Banksia Woodland SuperSite
Related documentation
- 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
- Maintenance and update frequency
- Not planned
- 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
- ggbw
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
Resource constraints
- Classification
- Unclassified
Distribution Information
- Distribution format
-
Distributor
Distributor
- 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
- CCFC RGB/IR Phenocamera Set Up
- Website
-
http://linked.data.gov.au/def/tern-cv/1eca43a4-0fba-4b69-88bd-a0ab76ebe5ca
Method documentation
- Title
- 17.2 StarDot IP Digital Camera
- Website
-
http://linked.data.gov.au/def/tern-cv/87456862-f365-4005-8a30-267bb9b715e5
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/9aa7176d-19d4-489b-956f-40eb843ab432
- 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/9aa7176d-19d4-489b-956f-40eb843ab432
Point-of-truth metadata URL
- Date info (Creation)
- 2012-05-14T00:00:00
- Date info (Revision)
- 2024-12-16T00:00:00
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