Forests of Australia (2023) — National Forest Cover Grid Cross-Tabulation
One row per unique class of the continental 'Forests of Australia (2023)' forest-cover raster: forest category (native forest, commercial plantation, other forest, non-forest), forest type (23 national types, e.g. Eucalypt woodland classes, Acacia, Mangrove, Melaleuca, Rainforest, softwood/hardwood plantation), crown cover code (1-6), height code (1-6), state/territory, and the input data source (NVIS 6.0, Aus_For18, Tas Forest Comms, Global Mangroves, NPI spatial and others). The `count` column is the number of grid cells in that class — an area proxy, not hectares. 687 rows; frozen 2023 edition compiled by ABARES for the National Forest Inventory and Australia's State of the Forests Report, using the national forest definition (trees over 2 m with at least 20% crown cover). Tabular summary of a spatial dataset, no coordinates included.
Source: ABARES · connector code
Get this dataset on your machine
subsets sync --bundle medium clones the mid-size tiers as queryable local tables — use --bundle large for the widest tier
pip install subsetsiosubsets sync --bundle small # or medium, or largesubsets serve # search + SQL at http://localhost:8080Free and open — the data syncs straight from the public bucket, and search + SQL run entirely on your machine. See docs →
Query it locally
Full docs →subsets serve # local API on http://localhost:8080
curl -s -X POST "http://localhost:8080/query" \
-H "Content-Type: application/json" \
-d '{"sql": "SELECT * FROM \"abares-forests-of-australia-2023\" LIMIT 5"}'No account, no API key — the data syncs straight from bundles.subsets.io and every query runs on your machine. See the local API reference.