Great Western Woodlands Leaf Area Index Data
This data contains leaf area index calculated from Digital Cover Photography images taken at four 1-ha plots within the Great Western Woodlands site between 2013 - 2015
Simple
Identification info
- Date (Creation)
- 2013-10-17
- Date (Publication)
- 2023-06-08
- Date (Revision)
- 2024-12-16
- Edition
- 1.0
Identifier
Publisher
Author
CSIRO Land and Water (2014-2022) - Prober, Suzanne Mary (Senior Principal Research Scientist)
147 Underwood Avenue, Floreat, 6014, Western Australia, Australia
Floreat
Western Australia
6014
Australia
Co-author
CSIRO Land and Water (2014-2022) - Macfarlane, Craig Kenneth (Research Scientist)
147 Underwood Avenue, Floreat, 6014, Western Australia, Australia
Floreat
Western Australia
6014
Australia
- Website
- https://www.tern.org.au/
- Purpose
- Leaf area index is the preferred measure of cover for vegetation and is a key variable used in total biomass estimation and in carbon cycling prediction models.
- 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.
- Status
- Completed
Point of contact
CSIRO Land and Water (2014-2022) - Prober, Suzanne Mary (Senior Principal Research Scientist)
147 Underwood Avenue, Floreat, 6014, Western Australia, Australia
147 Underwood Avenue
Floreat
Western Australia
6014
Australia
- Topic category
-
- Biota
- Environment
Extent
- Description
- The Great Western Woodlands site was established in 2012 on Credo Station, 110 km NNW of Kalgoorlie, WA.
N
S
E
W
))
Temporal extent
- Time period
- 2013-10-17 2015-09-16
- Maintenance and update frequency
- Not planned
- GCMD Science Keywords
- ANZSRC Fields of Research
- TERN Platform Vocabulary
- TERN Parameter Vocabulary
- QUDT Units of Measure
- GCMD Horizontal Resolution Ranges
- GCMD Temporal Resolution Ranges
- Keywords (Discipline)
-
- Leaf Area Index
- LAI
- Digital Cover Photography
- GWW
- Great Western Woodlands
Resource constraints
- Use limitation
- 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/
- File name
- 88x31.png
- File description
- CCBy Logo from creativecommons.org
- File type
- png
- Title
- Creative Commons Attribution 4.0 International Licence
- Alternate title
- CC-BY
- Edition
- 4.0
- Access constraints
- License
- Use constraints
- Other restrictions
- Other constraints
- 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
- Other constraints
- Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.
- Other constraints
- Please note: This data has been migrated “as is” from TERN’s SuperSite data portal. Minimal quality assessment has been applied to this data. Please contact the dataset authors for queries regarding the data.
Resource constraints
- Classification
- Unclassified
Distribution Information
Distribution Information
- Distribution format
-
- NetCDF
Distributor
Distributor
- OnLine resource
- GWW_Leaf_Area_Index_data_dictionary
Distribution Information
- Distribution format
-
Distributor
Distributor
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia
Indooroopilly
Queensland
4068
Australia
- OnLine resource
- TERN EcoImages Portal
- OnLine resource
- TERN EcoImages REST API
- OnLine resource
- ro-crate-metadata.json
Resource lineage
- Statement
- Digital cover photography Images were taken at 4 1-ha plots in the Great Western Woodlands site between 2013 - 2015. For complete methodology of plot set-up, image collection and leaf area calculation, please see attached Karan, M. (2020). SuperSites Vegetation Monitoring Protocols v 1.21. TERN Australian SuperSite Network. Cairns, Australia. doi:10.4227/05/56134C1310F16.
- Hierarchy level
- Dataset
- Title
- Karan, M. (2020). SuperSites Vegetation Monitoring Protocols v 1.21. TERN Australian SuperSite Network. Cairns, Australia. doi:10.4227/05/56134C1310F16
- Website
-
https://www.tern.org.au/wp-content/uploads/SuperSites_Vegetation_Monitoring_Protocols_Ver1.21.pdf
Method documentation
Reference System Information
- Reference system identifier
- EPSG/EPSG:4326
- Reference system type
- Geodetic Geographic 2D
Metadata
- Metadata identifier
-
urn:uuid/b1fb522f-6800-49e5-b9d0-18a219eb9a33
- Title
- TERN GeoNetwork UUID
- Language
- English
- Character encoding
- UTF8
Point of contact
Type of resource
- Resource scope
- Dataset
- Metadata linkage
-
https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/b1fb522f-6800-49e5-b9d0-18a219eb9a33
Point-of-truth metadata URL
- Date info (Creation)
- 2023-06-08T00:00:00
- Date info (Revision)
- 2024-12-16T00:00:00
Metadata standard
- Title
- ISO 19115-1:2014/AMD 1:2018 Geographic information - Metadata - Fundamentals
- Edition
- 1
Metadata standard
- Title
- ISO/TS 19115-3:2016
- Edition
- 1.0
Metadata standard
- Title
- ISO/TS 19157-2:2016
- Edition
- 1.0
- Title
- Terrestrial Ecosystem Research Network (TERN) Metadata Profile of ISO 19115-3:2016 and ISO 19157-2:2016
- Date (published)
- 2021
- Edition
- 1.0
Identifier
Overviews
Spatial extent
N
S
E
W
Provided by
Associated resources
Not available