Annual Woody Vegetation Change Detection for Western Australia

Vegetation change products identify transitions between forest, sparse woody, and non-woody classifications annually. The data is produced by Landgate using Landsat imagery with a 30-meter ground pixel resolution. Change classes include no change and conversions between the three vegetation states.

Use Cases

• Map transitions from non-woody to forest classifications to monitor reforestation efforts.
• Analyze forest to non-woody change events to identify deforestation or land clearing.
• Track sparse woody to non-woody conversions for assessing vegetation loss in arid regions.
• Model annual change dynamics between the three defined vegetation states.

Strengths

• Provides annual updates for tracking year-over-year change.
• Based on Landsat satellite imagery with 30-meter spatial resolution.
• Defines six specific change classes for clear interpretation.

Limitations

• Specific row count, geographic extent, and sample data are unavailable.
• Relies on classification of Landsat pixels, which may have inherent accuracy limitations.
• Data access is through WMS and ArcGIS services, not a simple tabular download.

Provenance

Source

Landgate

Collection Method

Derived from Landsat imagery (30m ground pixel) vegetation cover datasets.

Time Range

Annual products for 2021-2022 period.

Freshness

Updated annually; last metadata update was March 2026.

Geography

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