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Robson Creek Rainforest Phenocam Images and Phenology Data Collection 

Ver: 1.0
Status of Data: onGoing
Update Frequency: daily
Security Classification: unclassified
Record Last Modified: 2025-12-02
Viewed 296 times
Accessed 21 times
Dataset Created: 2013-11-01
Dataset Published: 2022-03-14
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:
Liddell, M. (2022). Robson Creek Rainforest Phenocam Images and Phenology Data Collection. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://portal.tern.org.au/metadata/e3d15ea3-1bd4-4b8c-b78f-5fcf25d2200e 
Fixed cameras installed at TERN Robson Creek Rainforest 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 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. The 25 hectare site lies on the Atherton Tablelands in the wet tropical rainforests of Australia at 680-740 m elevation. It is situated in Danbulla National Park within the Wet Tropics World Heritage Area. The forest is classified as Regional Ecosystem (RE) 7.3.36a, complex mesophyll vine forest. The climate is seasonal with approximately 60% of rain falling between January and March and the landform is moderately inclined with a low relief. There are 208 species in the site, and average canopy height is 28 m, ranging from 23 to 44 m. All stems ≥ 10 cm diameter are measured, tagged and mapped. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/robson-creek-rainforest-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. TERN Robson Creek Rainforest SuperSite is located Danbulla National Park within the Wet Tropics World Heritage Area administered by the Wet Tropics Management Authority, and Queensland Parks and Wildlife. James Cook University manages the site. This work was funded by the Terrestrial Ecosystem Research Network (TERN), an Australian Government National Collaborative Research Infrastructure Strategy (NCRIS) project. 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. 
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:10.4227/05/56134C1310F16
Procedure Steps

1. 

SuperSites Vegetation Monitoring Protocol:
  • 17.1.7 AusCover WingScapes RGB Digital Camera Set Up
  • CCFC RGB/IR Phenocamera Set Up
  • 17.2 StarDot IP Digital Camera
 

2. 

Cameras:
Camera type Camera name Protocol Field of view Start date End date
Campbell Scientific CCFC AU-Rob_overstorey-oblique-ccfc-1879 CCFC RGB/IR Phenocamera Set Up 01 2020-09-04 2021-11-05
Campbell Scientific CCFC AU-Rob_overstorey-oblique-ccfc-1879 CCFC RGB/IR Phenocamera Set Up 02 2021-11-05 Ongoing
Stardot stardot-EC0383 17.2 StarDot IP Digital Camera 01 2014-09-03 Ongoing
Wingscapes Timelapse Camera fnqr_robson_understorey_oblique_01 17.1.7 AusCover WingScapes RGB Digital Camera Set Up 01 2013-11-06 2014-03-31
Wingscapes Timelapse Camera fnqr_robson_understorey_oblique_01 17.1.7 AusCover WingScapes RGB Digital Camera Set Up 02 2014-09-09 2016-04-04
Wingscapes Timelapse Camera fnqr_robson_overstorey_nadir_01 17.1.7 AusCover WingScapes RGB Digital Camera Set Up 01 2013-11-01 2015-04-08
Wingscapes Timelapse Camera fnqr_robson_overstorey_oblique_02 17.1.7 AusCover WingScapes RGB Digital Camera Set Up 01 2015-04-08 2015-07-21
Wingscapes Timelapse Camera fnqr_robson_overstorey_oblique_02 17.1.7 AusCover WingScapes RGB Digital Camera Set Up 02 2015-10-30 2016-04-04
Wingscapes Timelapse Camera fnqr_robson_overstorey_oblique_01 17.1.7 AusCover WingScapes RGB Digital Camera Set Up 01 2013-11-01 2015-07-08
Wingscapes Timelapse Camera fnqr_robson_overstorey_nadir_02 17.1.7 AusCover WingScapes RGB Digital Camera Set Up 01 2015-04-08 2016-04-04
Wingscapes Timelapse Camera fnqr_robson_overstorey_oblique_01 17.1.7 AusCover WingScapes RGB Digital Camera Set Up 01 2013-11-01 2015-07-08
 

Located on the Atherton Tablelands, in Danbulla National Park, within the Wet Tropics World Heritage area.
Temporal Coverage
From 2013-11-01 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
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
1 meter - < 30 meters
Instruments
AU-Rob_overstorey-oblique-ccfc-1879
fnqr_robson_overstorey_nadir_01
fnqr_robson_overstorey_nadir_02
fnqr_robson_overstorey_oblique_01
fnqr_robson_overstorey_oblique_02
fnqr_robson_understorey_oblique_01
stardot-EC0383
Parameters
green chromatic coordinate
red chromatic coordinate
RGB values
Platforms
Robson Creek Rainforest
Temporal Resolution
1 minute - < 1 hour
Topic
environment
User Defined
Core 1 ha
fnqr_robson
phenocam images
phenology transiton
TERN Ecosystem Processes
vegetation colour
vegetation greeness
vegetation phenology
Author
Liddell, Michael
Contact Point
Liddell, Michael
Publisher
Terrestrial Ecosystem Research Network
Karan, M. (2020). SuperSites Vegetation Monitoring Protocols v 1.21. TERN Australian SuperSite Network. Cairns, Australia. doi:10.4227/05/56134C1310F16
Bradford, M (2015). General Vegetation Description, Far North Queensland Rainforest SuperSite, Robson Creek, Core 1 ha, 2014. dataset. TERN Australian SuperSite Network.
Richardson, A.D. (2019), Tracking seasonal rhythms of plants in diverse ecosystems with digital camera imagery. New Phytol, 222. doi:10.1111/nph.15591
Robson Creek Rainforest SuperSite
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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.
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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 

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