Great Western Woodlands Phenocam Image Time Series

Housing half-hourly daylight images from fixed cameras at the Great Western Woodlands SuperSite in Australia, providing a dense time series for vegetation monitoring. The data includes derived products like the Green Chromatic Coordinate (Gcc) time series for specific vegetation regions-of-interest. The site was established in 2012 in a semi-arid woodland area previously used as a pastoral lease.

Use Cases

• Analyze ecological responses to climate variability using the dense half-hourly image time series.
• Calibrate and validate satellite-derived remote sensing data with ground-level phenocam images and Gcc time series.
• Monitor long-term vegetation structure and condition changes via the Green Chromatic Coordinate (Gcc) for specific ROIs.
• Study phenological patterns in Eucalyptus salmonophloia and other species using the continuous image record.

Strengths

• Provides a dense, half-hourly time series of images captured during daylight hours.
• Includes derived data products like the Green Chromatic Coordinate (Gcc) time series for specific vegetation ROIs.
• Offers long-term monitoring data from a site established in 2012 in a defined semi-arid woodland ecosystem.

Limitations

• Unknown total volume of images and data rows, making it difficult to assess scale for large ML projects.
• Data format includes HTML alongside PNG images, which may require additional parsing and processing.
• Focus on a single geographic site (Great Western Woodlands) limits generalizability to other ecosystems.

Provenance

Source

Terrestrial Ecosystem Research Network's Data Discovery

Collection Method

Images captured by fixed cameras installed at the Great Western Woodlands SuperSite.

Time Range

Monitoring began in 2012; data collection is ongoing.

Freshness

Images and data products are made available on an almost real-time basis, with a last recorded update in March 2026.

Geography

Great Western Woodlands SuperSite, Credo Conservation Reserve, Australia (semi-arid woodland).