From Terrestrial Ecosystem Research Network
JSON RDF ISO19115-3 XML

Digital Cover Photography (DCP) from Great Western Woodlands Site

ARCHIVED

Created 20/10/2024

Updated 21/01/2025

JSON RDF ISO19115-3 XML

Digital Cover Photography (DCP) upward-looking images are collected twice per year in the core monitoring plot to capture vegetation cover at Great Western Woodlands Site. These images can be used to estimate Leaf area index (LAI), Crown Cover or Foliage Projective Cover (FPC). The images are captured at the times of estimated maximum and minimum LAI.

The Great Western Woodlands Site was established in 2012 in the Credo Conservation Reserve. The site is in semi-arid woodland and was operated as a pastoral lease from 1907 to 2007. The core 1 ha plot is characterized by Eucalyptus salmonophloia (salmon gum), with Eucalyptus salubris and Eucalyptus clelandii dominating other research plots. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/great-western-woodlands-supersite/ .

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

Files and APIs

Tags

Additional Info

Field Value
Title Digital Cover Photography (DCP) from Great Western Woodlands Site
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/b9ebc9bb-79a3-4383-849b-17b515afa2f0
Contact Point
Environment Protection Authority (EPA) Victoria
Craig.Macfarlane@csiro.au
Reference Period 16/10/2013
Geospatial Coverage {"type": "Point", "coordinates": [120.6541, -30.1913]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Digital Cover Photography (DCP) from Great Western Woodlands Site". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/digital-cover-photography-dcp-from-great-western-woodlands-site

Original dataset
Dataset copies

No duplicate datasets found.