Tree Density 1:25,000 - Vicmap Vegetation

A presence/absence tree cover dataset is derived 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.

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 worth while for mapping tree cover at 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 percent.

Data and Resources

Tree Density 1:25,000 - Vicmap Vegetation

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Additional information

Field Value
Date Published 1991-03-04
Date Updated 2018-12-31
Agency Department of Environment, Land, Water & Planning
License Creative Commons Attribution 4.0 International
[Open Data]
Citation Copyright © The State of Victoria, Department of Environment, Land, Water & Planning 2019
Attribution Copyright © The State of Victoria, Department of Environment, Land, Water & Planning 2019
Data Temporal Coverage: 1991-03-04 to 2001-10-01
Geospatial Coverage 141,-39,150,-34
Geospatial Scale 1:25,000
Geospatial Accuracy The three density classes are derived by automated grid cell processing, thereby ensuring consistency. The attribute accuracy of the density classes is solely dependent on the accuracy of the SPOT Panchromatic image classifications. The "Level" polygon attribute has been added as an indicator of the classification accuracy. The positional accuracy, determined by the geometric rectification of the source SPOT Panchromatic images, and reported as Root Mean Square Error, is up to 1.5 pixels. As the images have 10 meter pixel resolution, this translates to 15 meters.
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Recent Downloads Count 4 (August 2014)