Data

Whroo Dry Eucalypt Phenocam Images and Phenology Data Collection

Terrestrial Ecosystem Research Network
Arndt, Stefan ; Hinko-Najera, Nina
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/0e16b5bb-92cb-4a2f-b588-33545fa11b02&rft.title=Whroo Dry Eucalypt Phenocam Images and Phenology Data Collection&rft.identifier=http://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/0e16b5bb-92cb-4a2f-b588-33545fa11b02&rft.publisher=Terrestrial Ecosystem Research Network&rft.description=Fixed cameras installed at the Whroo Dry Eucalypt Affiliate 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 from 2013 to 2017 are made available. The site was established in 2010 in box woodland dominated by Eucalyptus microcarpa (grey box) and Eucalyptus leucoxylon (yellow gum). For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/whroo-dry-eucalypt-supersite/. Other images collected at the site include photopoints, digital cover photography (DCP), panoramic landscape, and ancillary images of fauna and 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: completedMaintenance and Update Frequency: notPlanned&rft.creator=Arndt, Stefan &rft.creator=Hinko-Najera, Nina &rft.date=2021&rft.edition=1.0&rft.relation=https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/whroo-dry-eucalypt-supersite/&rft.coverage=Located 45 km south-west of Shepparton, Victoria.&rft.coverage=northlimit=-36.6732; southlimit=-36.6732; westlimit=145.0294; eastLimit=145.0294; 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=Whroo Dry Eucalypt Affiliate SuperSite&rft_subject=vivcd_whroo_overstorey_oblique_01&rft_subject=RGB values (Unitless)&rft_subject=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=vicd_whroo&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 Whroo Dry Eucalypt Affiliate 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 from 2013 to 2017 are made available.

The site was established in 2010 in box woodland dominated by Eucalyptus microcarpa (grey box) and Eucalyptus leucoxylon (yellow gum). For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/whroo-dry-eucalypt-supersite/.

Other images collected at the site include photopoints, digital cover photography (DCP), panoramic landscape, 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.

Progress Code: completed
Maintenance and Update Frequency: notPlanned

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.
Whroo Dry Eucalypt SuperSite was originally managed by Monash University and the University of Western Australia and is now managed by the University of Melbourne. 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.

Created: 2013-01-31

Issued: 2021-11-11

Modified: 2014-07-14

Data time period: 2013-01-31 to 2014-04-30

This dataset is part of a larger collection

Click to explore relationships graph

145.0294,-36.6732

145.0294,-36.6732

text: Located 45 km south-west of Shepparton, Victoria.

Other Information
Point-of-truth metadata URL

uri : https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/0e16b5bb-92cb-4a2f-b588-33545fa11b02

Vivotek Network Camera Set Up

uri : http://linked.data.gov.au/def/tern-cv/559b3eae-82d5-4c5a-a7a1-c6f00164fb13

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