Modelled old-growth forest
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  Modelled old-growth forest

dataset: MOG
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.
 
Citation proposal Citation proposal
(2020)

Modelled old-growth forest

Department of Environment, Land, Water & Planning

https://metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/910757a6-94f7-54cf-9ab8-6e6dcdead673
 

Details

Contacts

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.

  Point of contact

Department of Environment, Land, Water & Planning - Liam Costello (left)   (Team Leader Forest Monitoring & Evaluation)  
Level 14, 8 Nicholson Street
East Melbourne
Vic
3002
Australia
 

Identifiers and Keywords

ANZLIC Id
ANZVI0803008602 
Victorian Spatial Data Library (VSDL) Schema
FORESTS:MOG 
Jurisdiction
Victoria 
Topic category
  • Biota
  • Farming
 

Resource Constraints

Use limitation
. To Identify area of old growth across the state 
Classification
Unclassified  
Creative Commons Attribution 4.0 (CC-BY)
  • License Text
 

Other Dataset Details

Date ( Revision )
2020-04-23
Date ( Publication )
2019-11-15T00:00:00
Status
Completed  
Purpose
MOG is used in various forest management planning and policy development. All old growth forest must be protected from threatening processes such as timber harvesting activities. Forest Planners across Government and non-Government organisations are encouraged to utilise this new data as part of their risk management plans to protect old growth. For areas of modelled old growth forest that have been mapped outside of the formal Comprehensive, Adequate and Representative (CAR) reserve system; forest management planners will need to confirm in the field the presence and extent of the old growth forest community prior to any forest management activity commencing. 
Supplemental Information
Future Design Issues: Incorporation of LiDAR derived classifications for Central Highlands and East Gippsland RFAs. Related Documents: None 
Maintenance and update frequency
As needed  
Maintenance date ( Publication )
2019-11-15T00:00:00
 

Spatial

Spatial representation type
Vector  
Description
General - Victoria 
Reference system identifier
4283

N
S
E
W


 

Temporal

Begin date
2009-01-01 
End date
2019-11-08 
 

Quality

Missing Data
Modelled old-growth for Victorian extent Completeness Verification: No field validation has been undertaken on this dataset. 
 

Lineage

Description
Data processing steps: The process of deriving the disturbance adjusted MOG is described below. Spatial datasets used in this analysis 1. Fire disturbance dataset FIRE.HISTORY Custodian: DELWP 2. Timber Harvesting disturbance dataset LASTLOG25 Custodian: DEDJTR 3. Modelled Old Growth Extent - MOG2009. Custodian: DELWP 4. Old Growth extent (West of State) - OG100. Custodian: DELWP 5. Outputs from Google Earth Engine ¿ Fire Severity tools. Custodian: DELWP Notes: all output of this analysis was in the GDA_1994_VICGRID94 coordinate system. XY Tolerances of each process in this exercise was set to 0.001 meters. Benchmarking a statewide MOG2009 The MOG2009 dataset has an extent that is only in the east of the Victoria, not including stands of Old Growth in the West Regional Forest Agreement boundary area. The Old Growth in the West RFA is represented in the OG100 layer, which represents the extent of Old Growth as at approximately the year 2000. This layer was benchmarked to 2009 to make it consistent with MOG2009 in the east of the State. The method used follows that described below to produce MOG, however only applied to the West RFA and the OG100 layer, removing high intensity and severity disturbances that impacted OG100 between the year 2000 and June 2009. Once these impacted old growth stands were determined, they were removed and a Statewide MOG2009 was used for further analysis. Selection of fire disturbances Two different sources of fire severity were utilised to determine the impacts on modelled old growth for the majority of the state, the FIRE.HISTORY dataset provided severity impacts of both planned and unplanned fires. For the west of the state, a combination of the FIRE.HISTORY dataset and estimates of fire severity from Google Earth Engine were utilised to build a complete dataset. Once this was compiled, fire events of any type (burn, bushfire or unknown) were selected with a Start Date between the 01/07/2008 and 30/06/2018. Once these were selected, high severity fires were selected. These were defined where severity was of the following classes: BURNT_1 Impacted (High severity crown burnt, partial to complete crown burnt) BURNT_2 Impacted (High-Moderate crown scorch) BURNT_2F Impacted (High severity crown scorch, 60-100% crown scorch) All other severity classes (eg, low severity crown scorch) were considered to represent negligible impact to old growth status. Selection of timber harvesting events Timber harvesting events of any type (silvicultural method and in any forest type) were selected with an End Date (ENDDATE) between the 01/07/2008 and 01/07/2017. Once these were selected, high intensity timber harvesting events were selected. These were defined where the silvicultural system was of the following categories: CFE/CFS Impacted (Clear-felling / Clear-felling Salvage) RDC/RDI Impacted (Roadline Construction / Improvement) STR Impacted (Seed-tree) THA/THB Impacted (Thinning from above/below) GSE Impacted (Group Selection) UNE Impacted (Uneven-aged management) Unlogged areas (UNL) and Single Tree Selection (STS) were the only silvicultural records that were assumed to have negligible impact on old growth status. Once these two layers were created, they were unioned in to one layer that represented all disturbance events. Where these high severity or intensity disturbances impacted modelled old growth, the old growth status of the stand was removed, which allowed the generation of a revised MOG layer current to June 2018. 
Statement
Dataset Source: This dataset is an adjusted version of MOG2009. Dataset Originality: Primary & 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
SE_ANNO_CAD_DATA O N BLOB 4000 SEANNOCAD
X_OGDESC O N VARCHAR2 80 X_OGDESC
SOURCE O N VARCHAR2 50 SOURCE
AREA_HA O N NUMBER 22 38 8 AREA_HA
NAME O N VARCHAR2 50 NAME
 

About the Metadata Record

Metadata identifier
urn:uuid / 910757a6-94f7-54cf-9ab8-6e6dcdead673

  Processor

DEECA - Spatial, VDP  

Contact  

No information provided.
Resource Type
Dataset  
Date info ( Creation )
2025-11-25T12:20:45
Date info ( Revision )
2025-11-25T14:46:19
Standard Name
ISO 19115-3:2018 
Profile Name
DELWP Profile 
Profile Version
Version 1 
Profile Date
2019-05-24  
 

Metadata Constraints

Classification
Unclassified  
 
 

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