Brief description
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.
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.
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/.
Other images collected at the site include photopoints, hemispherical upward photographs, and ancillary images of fauna and flora.
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.
Notes
CreditWe 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 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.
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.
Data Quality Assessment Scope
local :
dataset
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.
Created: 2012-05-14
Issued: 2021-11-03
Modified: 2024-05-03
Data time period: 2012-05-14 to 2021-04-23
text: 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.
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Point-of-truth metadata URL
17.1.7 AusCover WingScapes RGB Digital Camera Set Up
uri :
http://linked.data.gov.au/def/tern-cv/8eb4a318-7768-4300-bf01-716bd6cf70d8
CCFC RGB/IR Phenocamera Set Up
uri :
http://linked.data.gov.au/def/tern-cv/1eca43a4-0fba-4b69-88bd-a0ab76ebe5ca
17.2 StarDot IP Digital Camera
uri :
http://linked.data.gov.au/def/tern-cv/87456862-f365-4005-8a30-267bb9b715e5
Karan, M. (2020). SuperSites Vegetation Monitoring Protocols v 1.21. TERN Australian SuperSite Network. Cairns, Australia. doi:10.4227/05/56134C1310F16
- URI : geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/9aa7176d-19d4-489b-956f-40eb843ab432
- global : 9aa7176d-19d4-489b-956f-40eb843ab432
