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Gingin Banksia Woodland Digital Cover Photography Collection 

Ver: 1.0
Status of Data: onGoing
Update Frequency: irregular
Security Classification: unclassified
Record Last Modified: 2024-12-16
Viewed 49 times
Accessed 8 times
Dataset Created: 2015-05-03
Dataset Published: 2023-10-24
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:
Silberstein, R., Lardner, T., Mahabbati, A., Just, M. & Kunadi, A. (2023). Gingin Banksia Woodland Digital Cover Photography Collection. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://portal.tern.org.au/metadata/TERN/5181f063-1cfe-48c6-9b24-94516063b7b9 
Digital Cover Photography (DCP) upward-looking images are collected three times per year to capture vegetation cover at Gingin Banksia Woodland SuperSite. These images can be used to estimate Leaf Area Index (LAI). 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. Other images collected at the site include digital hemispherical photography (DHP), photopoints, phenocam time-lapse images taken from fixed under and overstorey cameras, 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. This work was funded by the Terrestrial Ecosystem Research Network (TERN), an Australian Government National Collaborative Research Infrastructure Strategy (NCRIS) project. Gingin Banksia Woodland site 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. 
Purpose
The data from Digital Cover Photography (DCP) at Gingin Banksia Woodland were collected to capture vegetation cover, which can be utilised to estimate Leaf Area Index (LAI),as well as other metrics. 
Lineage
Images were taken along nine 100-meter transects with a 10-meter gap between them, all within a 1-hectare core area. Along each transect, photos were taken every 10 meters, resulting in a total of 81 images. This method provided a systematic way to cover the area and collect data on vegetation structure. See the following link for additional details: https://linkeddata.tern.org.au/viewer/tern/id/http://linked.data.gov.au/def/tern-cv/0d89056b-c575-412a-ae34-a7a6b620426e 
Method DocumentationData not provided.
Procedure StepsData not provided.
Gingin Banksia Woodland site is located on the Swan Coastal Plain, approximately 10 km southwest of Gingin, near Perth, Western Australia.
Temporal Coverage
From 2015-05-03 to on going 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

ANZSRC - FOR
Terrestrial ecology
Environmental assessment and monitoring
GCMD Sciences
SPECTRAL/ENGINEERING - VISIBLE IMAGERY
BIOSPHERE - VEGETATION COVER
BIOSPHERE - CANOPY CHARACTERISTICS
Horizontal Resolution
30 meters - < 100 meters
Parameters
RGB values
Platforms
Gingin Banksia Woodland, WAASWA0005
Gingin Banksia Woodland
Temporal Resolution
irregular
Topic
environment
User Defined
TERN Ecosystem Processes
Digital Cover Photography (DCP)
Leaf Are Index (LAI)
ggbw
Author
Silberstein, Richard
Co-Author
Lardner, Tim
Mahabbati, Atbin
Just, Michael
Kunadi, Ashvath
Contact Point
Silberstein, Richard
Publisher
Terrestrial Ecosystem Research Network
Export to DCATExport to BibTeXExport to EndNote/Zotero
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.
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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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