Annual Woody Vegetation Change Detection for Western Australia 2007-2008

Landgate's Woody Change product identifies transitions in perennial woody vegetation cover between 2007 and 2008 using 30-meter Landsat imagery. It classifies pixel-level changes across categories like forest, sparse woody, and non-woody vegetation.

Use Cases

• Train a land cover change model using transition classes like 'non-woody to forest' and 'forest to non-woody' for annual monitoring.
• Analyze regional deforestation or afforestation trends by mapping pixels classified as 'forest to sparse' or 'sparse to non-woody'.
• Validate remote sensing algorithms with the defined 'no change' class to assess classification accuracy over time.

Strengths

• Produced by Landgate, the authoritative Western Australian land information agency.
• Based on 30-meter resolution Landsat imagery, providing detailed spatial analysis.
• Offers a clear classification scheme with six distinct change categories.

Limitations

• Specific sample size, row count, and geographic extent are not provided in the input.
• Data is limited to a single annual period (2007-2008), restricting longitudinal analysis.
• Primary access is via web services (WMS, ArcGIS), which may limit offline or bulk analysis.

Provenance

Source

Landgate

Collection Method

Derived from annual vegetation cover datasets based on Landsat satellite imagery.

Time Range

2007-2008

Freshness

Metadata was updated March 18, 2026, though the underlying data covers 2007-2008.

Geography

Western Australia (implied by data.wa.gov.au source)