Title

Statewide Land Use 1996 to 2005 

Alternate title

LANDUSE100_2005 

Purpose

In 1994 an Australian Land Use Mapping (ALUM) standard was developed for the Murray Darling Basin Commission (MDBC) (Baxter and Russell 1994). In 1996 a collaborative national land use mapping initiative called the Australian Collaborative Land Use Mapping Program (ACLUMP) was established. This initiative further refined the ALUM classification (Bureau of Rural Sciences 2006) and this was used when the former DPI in Victoria began a state wide mapping program in Gippsland in 1996 that was finished in the lower Goulburn in 2005. 

Supplemental Information

Current Design Issues: Based on National Standard Related Documents: Bureau of Rural Sciences (BRS), 2001, Land Use Mapping at Catchment Scale: Principles, Procedures and Definitions. - Key Reference, Edition 1, May 2001, BRS Document, Canberra. 

Status

Completed  

Code

4283 

Maintenance and update frequency

Unknown  

Topic category

• Society

Use limitation

. 

Classification

Unclassified  

Statement

Dataset Source: Created from (1) CGDL layers (DNRE corporate geospatial data library) Topographic and cadastral data layers · Digital cadastre 1:25,000 - Vicmap Property · Transport - roads and rail 1:25,000 - Vicmap Road · Hydrologic features; line & point 1:25,000 - hydro25 Agency estate mapping layers · Forest plantations - public softwoods and private plantations 1:100,000 - plantn100 · Utilities - gas & oil & SEC pipelines; line & point 1:25,000 - Util25 State-wide/Regional land data and mapping layers · Land Management - current legal status of land 1:100,000 - lmmt100 · Tree Cover - 1:25,000 - tree25 · Crown Land Agricultural Leasing layer - 1:25,000 - aglic · Mining Leases - min100 (2) CAPAD99 (3) Satellite imagery - Landsat 7 ETM sub-scenes dated 6th December 1999 (93/85-86), 16th February 2000 (92/85-86), and 9th May 2001 (92/85). (4) Planning maps, Pdata, from Infrastructure Department, Victoria, (5) Part of existing land use map from DNRE, Benalla, and (6) Fieldwork carried out during winter 2001. Dataset Originality: Derived 

Classification

Unclassified  

Attribute Quality

Comments

Attributes were checked with the original input data. Field verification was done primarily checking agricultural classes with final validation producing an accuracy result of 89.27%. 

Positional Accuracy

Comments

25 - 100 m 

Conceptual Consistency

Comments

Selected data sets were first integrated into grid format and classified. The classified grid was vectorised and joined with the road, infrastructure, hydrology and other ancillary layers. Field survey data was finally incorporated. 

Missing Data

Comments

Land Use has been mapped across the State down to a minimum secondary ALUM Version 4 level. 

Excess Data