This layer contains identified areas of modelled old-growth forest derived from both vector and grid based analysis using disturbance data that post dates the source old-growth analyses. Alpine Fire Severity Mapping (2003) and Logging history records that conflict with Old-Growth Forest (OG100) have been reclassified as not old-growth forest. 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 layer identifies categories of modelled forest categories determined through an analysis of readily available authoritative forest disturbance datasets on public land. The dataset identifies areas likely to contain old-growth forest, amongst other forest categories.

The MOG spatial dataset shows the modelled extent of Old Growth Forest in Victoria. This spatial layer is based on the MOG2009, with reduced extent based on disturbances from fire and timber harvesting up to July 2018. Coming soon - The addition of Light Detection and Ranging (LiDAR) data for parts of the Central Highlands and East Gippsland will be added progressively through 2019-20. The addition of these LiDAR derived classifications to the MOG dataset, will provide Victoria's most complete and up to date assessment of Victoria's modelled old growth forest extent.

Old growth forest mapping from aerial photograph interpretation of canopy species regeneration and senescent growth stages. Scale 1:25,000. Bounded by NSW Morriset Forestry District. Boundaries include the New England Highway and Hunter River in the North,the Blue mountains and Wollemi National Park in the west and the Illawarra highway in the south. VIS_ID 4122

Polygons showing tree cover 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 one hectare. This layer was derived from LANDSAT TM digital data.

This layer contains the relative forest growth stage classes. The classification is based on Eucalypt growth stages identified by Max Jacobs (Growth habits of the eucalypts, 1955) and described in terms of the relative contribution of irregular to regular to regrowth forms to the total crown cover. The data has been collected to SFRI standards for the old growth forest mapping program.

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.

This dataset contains Landsat-derived locally-calibrated estimates of tree canopy cover (TCC) and forest stand age across global boreal forests from 1984-2020 in Cloud-Optimized GeoTIFF (*.tif) format. These raster data span the circum-hemispheric boreal forest biome between 47 to 73 degrees north at 30 m resolution. Machine learning models calibrated with data from the World Reference System 2 were used to predict TCC from Landsat data at 30-m spatial resolution at annual temporal resolution. Through analysis of TCC time series, forest change estimates of stand age from 1984-2020 were developed. The broad spatial and temporal coverage of these data provide insight into forest and carbon dynamics of the global boreal forest system. Boreal forests store a large proportion of global soil and biomass carbon and have experienced disproportionately high levels of warming over the past century.