Modelled Forest Classes

dataset: OGMAP100
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.
 
Citation proposal Citation proposal

(2017)

Modelled Forest Classes

Department of Environment, Land, Water & Planning

Description

Title
Modelled Forest Classes 
Alternate title
OGMAP100 
Purpose
This dataset identifies categories of forest modelled through an analysis of forest resource datasets and readily available authoritative forest disturbance datasets. Forest resource datasets comprise: forest growth stage, ecological vegetation classes and structural vegetation. The forest disturbance datasets datasets comprise: historical and contemporary timber harvesting, grazing, agricultural clearing, mining, wildfire, and fuel reduction burn records. The current geospatial analysis process used by NRE to model old-growth forest has been developed to manage the complex rules and spatial analysis functions that the modelling requires. The analysis process utilises a raster based model and infrastructure initially developed and used in the North East Old-growth Forest Study. The process is undertaken using a 30m cell size and on a 1:100 000 mapsheet basis. The dataset identifies areas likely to contain old-growth forest, amongst other forest categories. The layer has, to date, principally been used to delineate old-growth forest and National Estate areas in two key regions of the State - Gippsland (as defined by the Gippsland Regional Forest Agreement Area) and Midlands-Otways and Portland-Wimmera (as defined by the Western Regional Forest Agreement Area). This layer is one of the key output datasets created from the analysis process used to delineate old-growth forest. The layer has a wide range of applications in both flora and fauna issues. 
Credit
Adam Gilbee, Bill Peel & Steve Farrell Natural Resource Systems Steve Farrell & Milos Pelikan Spatial Vision Numerous NRE staff contributed to the project. 
Supplemental Information
Relationship to other Datasets: This dataset is created through a grid based analysis process that uses EVC100, GSTAGE100, SVEG100 and a broad range of disturbance datasets, including FIRE100_{year}. The dataset is also combined with the Forest Service AVAIL100 dataset, and a buffer process assigned to this dataset in combination with TREE100. The dataset identifies areas likely to contain old-growth forest, amongst other forest categories. The OG100 dataset that identifies areas of old-growth forest is derived from this dataset. This dataset is also used to create the DISTURB100 dataset. Current Design Issues: The process for defining forest categories in the context of old-growth forest attributes is relatively new. There are two attributes in the dataset: one defining the assigned forest category on the basis of the old-growth forest modelling process, the second attribute identifies the study in which the analysis was undertaken and subsequent dataset created. Future Design Issues: This layer could accommodate additional attributes that clarify the disturbance and forest growth stage attributes of each site. Related Documents: None Farrell, S. & M. Pelikan (2000) Gippsland Old-growth Forest Project Study Report - Results and Process, Project report to NRE Farrell, S. & M. Pelikan (2000) Otways-Midlands &, Portland-Wimmera Old-growth Forest Project Study Report - Results and Process, Project report to NRE 
Status
Completed 
 
 

Spatial

Horizontal Accuracy
100m 
Code
4283 
 
 

Maintenance

Maintenance and update frequency
Not planned 
 
 

Contacts

  Point of contact

Cited responsible party

No information provided.

Cited responsible party

No information provided.

Cited responsible party

No information provided.

Cited responsible party

No information provided.
 
 

Keywords

Topic category
  • Biota
 
 

Constraints

Use limitation
Access Subject to Custodian Approval Access Subject to Custodian Approval Access Subject to Custodian Approval 
Classification
Unclassified 
Creative Commons Attribution 4.0 (CC-BY)
 
 

Lineage

Statement
Dataset Source: The OGMAP100 datasets have been developed as part of the following studies: Gippland Old-growth Forest study and Regional Forest Agreement Project. Otways- Midlands Old-growth Forest study and Western Regional Forest Agreement. Portland-Wimmera Old-growth Forest study and Western Regional Forest Agreement. Dataset Originality: Derived 
Description
Collection Method: Expert Rules, Field Notes 
Description
The OGMAP100 dataset is derived from an ESRI ArcInfo grid analysis process. The dataset was created by converting the OGMAP grid created as part of the old-growth modelling process into a vector dataset with areas less than 1ha merged into adjacent areas. 
 
 

Metadata Constraints Metadata Constraints

Classification
Unclassified 
 
 

Quality

Attribute Quality
Comments
No comprehensive accuracy assessment has been completed for the resultant modelled dataset presented here. However, on the basis of a review and discussions with field based NRE staff, the modelled information is believed to accurately reflect the available information with larger stands of old-growth forest having a reasonably high reliability on public land. Smaller isolated stands modelled as old-growth forest and stands abutting cleared private land have a lower reliability. 
 
Positional Accuracy
Comments
100m to 1km. Positional accuracy is a function of pen thickness, base accuracy and nature of boundaries mapped in the source datasets, and the accuracy of the rules applied. Map errors of 0.5 mm to 3 mm, or 50 m to 300 m are possible. 
 
Conceptual Consistency
Comments
EVC and other source information is generally registered to the 1:100,000 base features, although in the case of GSTAGE100 information is registered to 1:25 000 base features. 
 
Missing Data
Comments
As of November 2000 the dataset covered the Gippsland and Western RFA areas, or alternatively the Gippsland Old-growth Forest Project, Otways-Midlands Old-growth Forest Project, and Portland-Wimmera Old-growth Forest Project. 
 
Excess Data
 
 

Overviews

Graphic Overview of Data Footprint


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