Modelled old-growth forest boundaries.
  •   Search
  •   Map
  •  Sign in

Modelled old-growth forest boundaries.

dataset: OG100
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.
 
Citation proposal Citation proposal

(2017)

Modelled old-growth forest boundaries.

Department of Environment, Land, Water & Planning

https://dev-metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/fd8f9577-26eb-5ad4-a498-61a9e3c35c1a
  • Description
  • Temporal
  • Spatial
  • Maintenance
  • Format
  • Contacts
  • Keywords
  • Constraints
  • Lineage
  • Metadata Constraints Metadata Constraints
  • Quality
  • Acquisition Info
  • Raster Data Details
  • Raster Type Details
  • Point Cloud Data Details
  • Contour Data Details
  • Survey Details

Description

Title
Modelled old-growth forest boundaries. 
Alternate title
OG100 
Purpose
OG100 is a layer designed to store the major modelled output of old-growth forest studies for Victoria. Modelled areas of old-growth forest are used as a major input into the preparation of Regional Forest Agreements and Forest Management Planning and associated analysis. 
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: The old growth forest modelling process used to derive this layer uses key disturbance datasets, including GRAZE100, LOGHIST100, LOGHIST250, FIRE100_XY, AGCLEAR100 and mining layers, and vegetation attributes from the GSTAGE100, EVC100, SVEG100 layers. Current Design Issues: The old-growth modelling process is undertaken on a study areas basis with which each study applying different rules and inputs. It is possible that adjacent study areas within one tile may have edge matching problems. Future Design Issues: The current dataset does not assign an accuracy level to any polygon. This may need to be accomodated as areas of old-growth forest are increasingly verified in the field. Related Documents: None A Study of the Old-Growth Forest of East Gippsland, Woodgate et.al. 1994 Central Highlands Old-Growth Forest Project, Forests Service Technical Report 96-3 "Study of Old Growth Forest in Victorias Central Highlands", Forests Service Technical Report 96-3. "Stand Class Definitions and Polygon Labelling Guidelines for the State Forest Resource Inventory". Peter Elliot, Department of Conservation and Natural Resources 1996 "Study of Old-growth Forest in Victoria's North-East", forest Service technical report 98-1. "Old-growth Forest study of Gippsland Victora - Modelling of Old-growth Forrest Status". Study Report. Stephen Farrel & Milos Pelikan (Unpublished Report), 1999. "Old-growth Forrest Study of South - Western Victoria: Portland Wimmera and Otways- Midlands - Modelling of Old-growth Forest status", Study Report. Stephen Farrell and Milos Pelikan (Unpublished Report), 1999. 
Status
Completed 
 
 

Spatial

Horizontal Accuracy
100m 
Code
4283 
 
 

Maintenance

Maintenance and update frequency
Not planned 
 
 

Contacts

  Point of contact

Department of Environment, Land, Water & Planning - Biodiversity Info   (Biodiversity Info)

PO Box 500

East Melbourne

Vic

3002

Australia

Cited responsible party

No information provided.

Cited responsible party

No information provided.

Cited responsible party

No information provided.

Cited responsible party

No information provided.

Cited responsible party

No information provided.

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)
  • License Text
 
 

Lineage

Statement
Dataset Source: Old Growth Forest modelling process for each old-growth forest studies including ; East Gippsland, Central Highlands,North_East, Gippsland, Portland-Wimmera and Otway-Midlands. Dataset Originality: Derived 
Description
Collection Method: GIS Modelling / Analysis 
Description
Refer to Old Growth Forest analysis project reports 
 
 

Metadata Constraints Metadata Constraints

Classification
Unclassified 
 
 

Quality

Attribute Quality
Comments
A preliminary estimate of attribute accuracy would be: 90% for polygons GT 10 hectares 75% for polygons LT 10 hectares 
 
Positional Accuracy
Comments
Precision: +/- 200 m Determination: Deductive estimate based on 30m grid cell size used and precision of historic disturbance datasets used. 
 
Conceptual Consistency
Comments
The Old-growth forest modelling is based on a set of logic rules. All forest categories have therefore been determined consistently within each study area. Some logical anomalies may exist where the modeling has been unable to cope with exceptions to the logic rules. 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. 
 
Missing Data
Comments
Old Growth data from the East Gippsland, North East, Goldfields and Central Highlands studies have been completed. The Gippsland study area data will be available by January 1999. Old-growth forest data from the East Gippsland, North East, Central Highlands, Gippsland, Portland-Wimmera and Otways-Midlands studies have been completed. Data from the Gippsland ,Portland-Wimmera and Otways-Midlands studies will be incorporated into the library in September/October 2000. 
 
Excess Data
 
 

Overviews

Graphic Overview of Data Footprint


Provided by

Share on social sites





  •   About
  •   Github
  •