Data

Digital Hemispherical Photography (DHP) from TERN Warra Tall Eucalypt SuperSite

Terrestrial Ecosystem Research Network
Wardlaw, Tim
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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/37fefe41-eaf5-4286-ba7d-3af47ef132cc&rft.title=Digital Hemispherical Photography (DHP) from TERN Warra Tall Eucalypt SuperSite&rft.identifier=http://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/37fefe41-eaf5-4286-ba7d-3af47ef132cc&rft.publisher=Terrestrial Ecosystem Research Network&rft.description=Digital Hemispherical Photography (DHP) upward-looking images are collected twice per year to capture vegetation and crown cover at the Warra Tall Eucalypt SuperSite. These images are used to estimate Leaf area index (LAI). The images are captured at the times of estimated maximum and minimum LAI. The Warra Tall Eucalypt SuperSite was established in 2012 and is located in a stand of tall, mixed-aged Eucalyptus obliqua forest (1.5, 77 and >250 years-old) with a rainforest / wet sclerophyll understorey and a dense man-fern (Dicksonia antarctica) ground-layer. The site experienced a fire in January 2019, which consumed the ground layer and killed a high proportion of the understorey trees but stimulated dense seedling regeneration. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/warra-tall-eucalypt-supersite/. Other images collected at the site include photopoints, phenocam time-lapse images taken from fixed under and overstorey cameras, panoramic landscape and ancillary images of fauna and flora. Data CreationSuperSites Vegetation Monitoring Protocol - 12.2 Digital Hemispheric Photography&rft.creator=Wardlaw, Tim &rft.date=2020&rft.edition=1.0.0&rft.relation=http://dx.doi.org/10.4227/05/56134C1310F16&rft.relation=http://ceur-ws.org/Vol-1328/GSR2_Woodgate.pdf&rft.relation=https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/warra-tall-eucalypt-supersite/&rft.coverage=Southern Tasmania&rft.coverage=northlimit=-43.095; southlimit=-43.095; westlimit=146.6545; eastLimit=146.6545; projection=WGS84 (EPSG:4326)&rft_rights=Creative Commons Attribution 4.0 International Licence http://creativecommons.org/licenses/by/4.0&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_rights=Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.&rft_subject=environment&rft_subject=Nikon D7000&rft_subject=VISIBLE IMAGERY (Unitless)&rft_subject=Unitless&rft_subject=CANOPY CHARACTERISTICS&rft_subject=EARTH SCIENCE&rft_subject=BIOSPHERE&rft_subject=VEGETATION&rft_subject=VEGETATION COVER&rft_subject=Seasonal&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=Digital Hemispherical Photography (DHP)&rft_subject=wrra&rft_subject=leaf area index&rft_subject=TERN Ecosystem Processes&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution 4.0 International
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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.
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

Please cite this dataset as {Author} ({PublicationYear}). {Title}.
{Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.

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Contact Information

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Building 1019, 80 Meiers Rd
QLD 4068
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Brief description

Digital Hemispherical Photography (DHP) upward-looking images are collected twice per year to capture vegetation and crown cover at the Warra Tall Eucalypt SuperSite. These images are used to estimate Leaf area index (LAI). The images are captured at the times of estimated maximum and minimum LAI.

The Warra Tall Eucalypt SuperSite was established in 2012 and is located in a stand of tall, mixed-aged Eucalyptus obliqua forest (1.5, 77 and >250 years-old) with a rainforest / wet sclerophyll understorey and a dense man-fern (Dicksonia antarctica) ground-layer. The site experienced a fire in January 2019, which consumed the ground layer and killed a high proportion of the understorey trees but stimulated dense seedling regeneration. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/warra-tall-eucalypt-supersite/.

Other images collected at the site include photopoints, phenocam time-lapse images taken from fixed under and overstorey cameras, panoramic landscape and ancillary images of fauna and flora.

Lineage

Data Creation
SuperSites Vegetation Monitoring Protocol -


Notes

Credit
The research site was established in 1995 by Forestry Tasmania and joined the TERN SuperSite Network in 2013.

Created: 2015-09-24

Issued: 2020-11-19

Modified: 2020-09-03

Data time period: 2015-09-24 to 2020-06-03

This dataset is part of a larger collection

Click to explore relationships graph

146.6545,-43.095

146.6545,-43.095