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Tumbarumba Wet Eucalypt Phenocam Images and Phenology Data Collection 

Ver: 1.0
Status of Data: onGoing
Update Frequency: daily
Security Classification: unclassified
Dataset Published: 2021-11-09
Dataset Last Modified: 2026-06-05
Metadata viewed 234 times
Dataset accessed 10 times
Metadata Created: 2014-03-13
Metadata Last Modified: 2026-06-05
How to cite this collection:
Stol, J., Kitchen, M. & Woodgate, W. (2021). Tumbarumba Wet Eucalypt Phenocam Images and Phenology Data Collection. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://portal.tern.org.au/metadata/4dd04ad7-c24b-4e5f-9cd1-4a4a433bb9fc 
Data can be accessed from the following links:
HTTPTERN EcoImages REST API
HTTPTERN EcoImages Portal
HTTPPoint-of-truth metadata URL
HTTPro-crate-metadata.json
Fixed cameras installed at the Tumbarumba Wet Eucalypt 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 regularly during daylight hours. Images and data products for a region-of-interest (ROI) that delineates an area of specific vegetation type, are made available on a six monthly basis.
The Tumbarumba Flux site was established in 2000 by CSIRO and started measurements in 2001. The 1 hectare (ha) SuperSite plot was established in 2015 in a collaboration with TERN. The overstorey is dominated by Eucalyptus delegatensis (alpine ash) and Eucalyptus dalrympleana (mountain gum). For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/tumbarumba-wet-eucalypt-supersite/ .
Other images collected at the site include photopoints, digital cover photography (DCP), 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. The Tumbarumba Wet Eucalypt SuperSite was established in 2015 and is managed by CSIRO Land and Water and is supported by TERN. 
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. 
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.
 
Method DocumentationKaran, M. (2020). SuperSites Vegetation Monitoring Protocols v 1.21. TERN Australian SuperSite Network. Cairns, Australia. doi:10.4227/05/56134C1310F1617.1.7 AusCover WingScapes RGB Digital Camera Set UpRaspberry Pi Phenocamera Set Up
Procedure StepsData not provided.
Spatial Description
TERN's Tumbarumba Wet Eucalypt SuperSite is located in the Bago State Forest, near Batlow, New South Wales. 
Temporal Coverage
From 2014-03-13 to on going 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

Data Quality Assessment Scope
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. 
Data Quality Report
Data not provided. 
Data Quality Assessment Outcome
Data not provided. 
ANZSRC - FOR
Environmental management
Forest biodiversity
Data Stream
Phenocam
GCMD Sciences
BIOSPHERE - ECOSYSTEM FUNCTIONS
BIOSPHERE - FOREST COMPOSITION/VEGETATION STRUCTURE
BIOSPHERE - PLANT CHARACTERISTICS
BIOSPHERE - PLANT PHENOLOGY
LAND SURFACE - VEGETATION INDEX
SPECTRAL/ENGINEERING - VISIBLE IMAGERY
SPECTRAL/ENGINEERING - VISIBLE WAVELENGTHS
Horizontal Resolution
Point Resolution
Instruments
Phenocamera
Parameters
RGB values
Platforms
Tumbarumba Wet Eucalypt
Project
TERN Ecosystem Processes
Temporal Resolution
1 minute - < 1 hour
Topic
environment
User Defined
phenocam images
phenology transiton
TERN Ecosystem Processes
tumb
vegetation colour
vegetation greeness
vegetation phenology
Author
Stol, Jacqui
Co-Author
Kitchen, Mark
Woodgate, William
Contact Point
Stol, Jacqui
Publisher
Terrestrial Ecosystem Research Network
Leuning, R., Cleugh, H.A., Zegelin, S.J., and Hughes, D. (2005). Carbon and water fluxes over a temperate Eucalyptus forest and a tropical wet/dry savanna in Australia: measurements and comparison with MODIS remote sensing estimates
Restrepo-Coupe, N., Huete, A., Davies, K., Cleverly, J., Beringer, J., Eamus, D., et al. (2016). MODIS vegetation products as proxies of photosynthetic potential along a gradient of meteorologically and biologically driven ecosystem productivity.
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
Tumbarumba Wet Eucalypt SuperSite
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.
Contact Us
Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/
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/ 
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Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting