Contacts

Identifiers and Keywords

ANZLIC Id

ANZVI0803002320 

Victorian Spatial Data Library (VSDL) Schema

FORESTS:OGMAP100 

Jurisdiction

Victoria 

Topic category

• Biota

Resource 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

Other Dataset Details

Date ( Revision )

2017-03-08

Date ( Publication )

2018-02-02T12:33:39

Status

Completed  

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 

Maintenance and update frequency

Not planned  

Maintenance date ( Publication )

2018-02-02T12:33:39

Spatial

Spatial representation type

Vector  

Reference system identifier

4283

Temporal

Begin date

1998-01-01 

End date

unknown  

Resolution

Horizontal Accuracy

100m  

Quality

Conceptual Consistency

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

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. 

Attribute Quality

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

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. 

Lineage

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. 

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 

Attributes

Column Name	Obligation	Unique	Data Type	Data Length	Data Precision	Data Scale	Reference Table Owner	Reference Table Name	Reference Table Code Column Name	Short Column Name	Definition
HECTARES	O	N	NUMBER	22	18	2				HECTARES
OGSTUDY	O	N	NUMBER	22	4	0				OGSTUDY
AREASQM	O	N	NUMBER	22	18	2				AREASQM
OGMAP	O	N	NUMBER	22	10	0				OGMAP

About the Metadata Record

Metadata identifier

urn:uuid / d1c9b14d-8509-5f62-bef7-b6ba9bbfb36a