VIC DELWP - Vicmap Vegetation - Tree Density 1:25,000 (Polygons)

This dataset presents the footprint of the presence and density of tree cover in Victoria. The data is derived from a presence/absence of tree cover dataset that is determined from SPOT Panchromatic imagery (10m pixels) by a combination of digital classification and visual interpretation. The presence/absence dataset is then grouped into three density classes (Dense, Medium, Scattered) by neighbourhood and proximity cell-based analysis. The raster dataset is converted to vector as a final step.

Vicmap is the foundation that underlies most spatial information in Victoria. This portfolio of spatial related authoritative data products, made up from individual datasets, is developed and managed by the Department of Environment, Land, Water & Planning (DELWP). Vicmap Vegetation contains topologically structured digital datasets (tree density and plantations) depicting areas of tree or woody cover across the State of Victoria.

For more information, please visit:

• Victorian Government Data Portal.: https://www.data.vic.gov.au/data/dataset/tree-density-1-25-000-vicmap-vegetation
• Metadata Statement.: http://services.land.vic.gov.au/catalogue/metadata?anzlicId=ANZVI0803003127&publicId=guest&extractionProviderId=1

Please note:

• This dataset is limited to 15,000 features due to the feature extraction limits of the Data.Vic WFS.
• The data scale is 1:25,000.
• Tree cover is defined as woody vegetation greater than 2 metres in height and with a crown cover (foliar density) greater than 10 per cent.
• The process of grouping tree cover into density classes simplifies the representation of trees and reduces the complexity of the vector dataset. It is a particularly neat way of representing scattered tree cover. The original, ungrouped raster dataset is maintained as a separate dataset.
• Classifying SPOT Panchromatic imagery for vegetation can be limiting as the panchromatic image only encompasses a small portion of the infrared part of the electromagnetic spectrum. However, the image sharpness and detail offered makes the trade-off between spectral range and spatial resolution worthwhile for mapping tree cover at 1:25,000.