Data

Litchfield Savanna Phenocam Images and Phenology Data Collection

Terrestrial Ecosystem Research Network
Hutley, Lindsay ; Northwood, Matthew
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/c9921cdd-caf5-4498-89d4-079dfe04d33a&rft.title=Litchfield Savanna Phenocam Images and Phenology Data Collection&rft.identifier=http://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/c9921cdd-caf5-4498-89d4-079dfe04d33a&rft.publisher=Terrestrial Ecosystem Research Network&rft.description=Fixed cameras installed at the Litchfield Savanna 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 Litchfield Savanna SuperSite was established in 2013 in Litchfield National Park. Site selection was influenced by the history of long-term monitoring work undertaken in this area by the Darwin Centre for Bushfire Research (formerly Bushfires NT). The core 1ha plot is dominated by Eucalyptus miniata and Eucalyptus tetrodonta. The site is representative of the dominant ecosystem type across northern Australia: frequently burnt tropical savanna in high rainfall areas. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/litchfield-savanna-supersite/ . Other images collected at the site include photopoints, digital cover photography (DCP), and ancillary images of flora. 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.Progress Code: onGoingMaintenance and Update Frequency: daily&rft.creator=Hutley, Lindsay &rft.creator=Northwood, Matthew &rft.date=2022&rft.edition=1.0&rft.relation=https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/litchfield-savanna-supersite/&rft.relation=https://doi.org/10.5194/bg-14-111-2017&rft.coverage=TERN’s Litchfield Savanna SuperSite is within Litchfield National Park, about 80 km south of Darwin, Northern Territory.&rft.coverage=northlimit=-13.1805; southlimit=-13.1805; westlimit=130.7895; eastLimit=130.7895; projection=EPSG:4326&rft_rights=Creative Commons Attribution 4.0 International Licence http://creativecommons.org/licenses/by/4.0&rft_rights=&rft_rights=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&rft_subject=environment&rft_subject=PLANT PHENOLOGY&rft_subject=EARTH SCIENCE&rft_subject=BIOSPHERE&rft_subject=VEGETATION&rft_subject=FOREST COMPOSITION/VEGETATION STRUCTURE&rft_subject=ECOSYSTEM FUNCTIONS&rft_subject=ECOLOGICAL DYNAMICS&rft_subject=VISIBLE WAVELENGTHS&rft_subject=SPECTRAL/ENGINEERING&rft_subject=VISIBLE IMAGERY&rft_subject=VEGETATION INDEX&rft_subject=PLANT CHARACTERISTICS&rft_subject=Terrestrial Ecology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=ECOLOGY&rft_subject=Environmental Monitoring&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=ENVIRONMENTAL SCIENCE AND MANAGEMENT&rft_subject=Litchfield Savanna&rft_subject=AU-Lit_overstorey_oblique-ccfc-1858&rft_subject=lfld_overstorey_oblique_02&rft_subject=lfld_overstorey_oblique_01&rft_subject=lfld_overstorey_nadir_01&rft_subject=RGB values (Unitless)&rft_subject=Unitless&rft_subject=Green chromatic coordinate (Unitless)&rft_subject=Red chromatic coordinate (Unitless)&rft_subject=Point Resolution&rft_subject=1 minute - < 1 hour&rft_subject=TERN Ecosystem Processes&rft_subject=phenocam images&rft_subject=vegetation phenology&rft_subject=vegetation greeness&rft_subject=vegetation colour&rft_subject=phenology transiton&rft_subject=lfld&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY

Creative Commons Attribution 4.0 International Licence
http://creativecommons.org/licenses/by/4.0

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

Access:

Open view details

unclassified

Contact Information

Street Address:
Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd
QLD 4068
Australia
Ph: +61 7 3365 9097

esupport@tern.org.au

Brief description

Fixed cameras installed at the Litchfield Savanna 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 Litchfield Savanna SuperSite was established in 2013 in Litchfield National Park. Site selection was influenced by the history of long-term monitoring work undertaken in this area by the Darwin Centre for Bushfire Research (formerly Bushfires NT). The core 1ha plot is dominated by Eucalyptus miniata and Eucalyptus tetrodonta. The site is representative of the dominant ecosystem type across northern Australia: frequently burnt tropical savanna in high rainfall areas. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/litchfield-savanna-supersite/ .

Other images collected at the site include photopoints, digital cover photography (DCP), and ancillary images of 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.

Progress Code: onGoing
Maintenance and Update Frequency: daily

Notes

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.
Research collaborators at the Litchfield Savanna SuperSite include: Charles Darwin University, Maitec (Dr Stefan Maier), CSIRO (Dr Shaun Levick), OzFlux, TERN, Darwin Centre for Bushfire Research, Northern Territory Department of Environment, Parks and Water Security and the University of Western Australia. The SuperSite is managed by Charles Darwin University and The University of Western Australia. This work was jointly funded by the Terrestrial Ecosystem Research Network (TERN), an Australian Government National Collaborative Research Infrastructure Strategy (NCRIS) project.
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.
Data Quality Information

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: 2021-05-01

Issued: 2022-01-28

Modified: 2024-04-30

Data time period: 2015-07-07

This dataset is part of a larger collection

130.7895,-13.1805

130.7895,-13.1805

text: TERN’s Litchfield Savanna SuperSite is within Litchfield National Park, about 80 km south of Darwin, Northern Territory.

Other Information
Point-of-truth metadata URL

uri : https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/c9921cdd-caf5-4498-89d4-079dfe04d33a

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

Karan, M. (2020). SuperSites Vegetation Monitoring Protocols v 1.21. TERN Australian SuperSite Network. Cairns, Australia. doi:10.4227/05/56134C1310F16

doi : http://dx.doi.org/10.4227/05/56134C1310F16