Title

Structural Vegetation (1993) obsolete 

Alternate title

SVEG100_1993 

Purpose

This layer has been produced to provide a non tenure specific structural vegetation layer for the state. SVEG100 has been used to service requirements of the NFI (National Forest Inventory), MDBC (Murray Darling Basin Commission), old growth forest and tree cover studies, but will have wider application for planning activities within NRE. This layer replaced the older LCCVEG100 layer and has now been superceded by SVEG100.. 

Credit

Paul Marsh, Rick Frisina and Susanne Thulin, NRS Branch 

Supplemental Information

Relationship to other Datasets: The layer shares spatial boundaries and derives attributes from a number of library layers including TREE100_9093, LSYS250 and LCCVEG100 as well as data from the Box-Ironbark and River Murray Vegetation Mapping projects. Current Design Issues: To maintain primary structural vegetation attributes in a form that can easily be translated to other vegetation classification schemes. Future Design Issues: The addition of a forest type item that can group similar structural vegetation classes into common forest types for presentation purposes. Related Documents: None SVEG100 - Explanatory Notes. On Departmental file : 94/3886-1, NRS Branch. This document details how existing datasets and new data (including data capture methods) were used to create SVEG100. 

Status

Obsolete  

Horizontal Accuracy

64m  

Maintenance and update frequency

Not planned  

Title

DIGITAL Arc/Info Revision 7 Librarian layer 1 

Topic category

• Biota
• Farming

Classification

Unclassified  

Statement

Dataset Source: 1993 Landsat TM, LCCVEG100, PLANTN100, TREE100_9093, FEBOX25, River Murray Riparian Vegetation Data, original forest commission maps/artwork and published LCC maps. Dataset Originality: Primary & Derived 

Description

Collection Method: Interpolation of Landsat TM. Air photo interpratation. Field survey. Collation of existing digital and analog data. 

Description

See supporting documentation. 

Classification

Unclassified  

Attribute Quality

Positional Accuracy

Comments

Precision: 100-500m (for existing data sources) up to 1km (for mapping on freehold land). Determination: Based on drafting and digitizing error for existing data sources and field verification for mapping on freehold land. 

Conceptual Consistency

Comments

The linework from the existing data sources used varies in detail due to the different mapping scales of the data. Attributes are consistent across whole dataset and their logical associations have been verified. 

Missing Data

Comments

The area north and east of Melbourne has been completed with work in the north west beginning in February 1995. Mapping for the area north and east of Melbourne has been completed. 

Excess Data