This layer contains polygons showing tree cover change as defined by woody vegetation greater than 2 metres in height and with a crown cover (foliar density) greater than 10 percent. Tree cover is mapped down to a minimum area of one hectare. Attributes outlining the causes of tree cover change are assigned for areas greater than 1 hectare. This layer was derived from LANDSAT TM digital data.

Polygons showing tree cover change as defined by woody vegetation greater than 2 metres in height and with a crown cover (foliar density) greater than 10%. Tree cover is mapped down to a minimum area of quater hectare for change period 1990-1995. Attributes outlining the causes of tree cover change are assigned for areas greater than 1 hectare. This layer was derived from LANDSAT TM digital data.

This layer identifies Forest Cover Changes in Victoria from 1972 to 1987. Forest Cover is defined as woody vegetation greater than 2 metres in height and with crown cover (foliar density) greater than 10%. The smallest unit of forest mapped was fifteen (15) hectares.

Polygons delineating Forest Management Blocks and Compartments at 1:25 000.

The Vicmap Vegetation Tree Extent dataset was generalised to 2m pixels and then clustering rules were applied to group the data into three density classes (Dense, Medium, Sparse). This classification was a pixel by pixel assessment where a pixel was allocated a density classification based on neighbouring pixels. The raster dataset was then converted to vector. 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 effective way of representing tree cover. The original raw 20cm raster dataset is maintained as a separate dataset, Vicmap Vegetation Tree Extent.

This layer contains polygons delineating boundaries describing forest managment areas. FMA500 can be used for a statewide overview.

Contains polygon features delineating boundaries and describing forest management areas. All arc features are identified and coded according to the AS2482 standard.

This layer contains identified areas of modelled old-growth forest derived from both vector and grid based analysis. Areas delineated as old growth forest are identified to meet the Victorian definition of old-growth forest based on a set of modelling criteria, rules and input datasets. The data is not reliable at scales less than 1:100,000 (ie 1:25,000), not all old-growth polygons have been confirmed by field checking and the reliability of the modelled linework has not been verified.

This dataset contains estimates of tree canopy cover presence at high resolution (0.5m) across the state of Vermont for 2016 in Cloud-Optimized GeoTIFF (*.tif) format. Tree canopy was derived from 2016 high-resolution remotely sensed data as part of the Vermont High-Resolution Land Cover mapping project. Object-based image analysis techniques (OBIA) were employed to extract potential tree canopy and trees using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. Following the automated OBIA mapping a detailed manual review of the dataset was carried out at a scale of 1:3000 and all observable errors were corrected. Tree canopy assessments have been conducted for numerous communities throughout the U.S. where the results have been instrumental in helping to establish tree canopy goals.