Land Use of the North Central Catchment Management Authority

dataset: LANDUSE100_NC
This landuse map has been prepared under contract for the North Central Catchment Management Authority (NC-CMA). The classification scheme followed here was the Australia Land Use Mapping (ALUM) classification version 5 (BRS, 2001). ALUM version 5 was developed by BRS as a modification of Baxter - Russell Classification, in coordination with State agencies. This product is based on information from a number of sources: Corporate Geospatial Data Library (CGDL), DPI regional data sets, satellite imagery, the planning maps from the Infrastructure Department, aerial photgraphy, CFA Mapbooks, and the newly acquired field surveys information.
 
Citation proposal Citation proposal

(2015)

Land Use of the North Central Catchment Management Authority

Department of Energy, Environment and Climate Action

Description

Title
Land Use of the North Central Catchment Management Authority 
Alternate title
LANDUSE100_NC 
Supplemental Information
Current Design Issues: Based on National Standard Related Documents: Bureau of Rural Sciences (BRS), 2002, Land Use Mapping at Catchment Scale: Principles, Procedures and Definitions. - Key Reference, Edition 2, February 2002, BRS Document, Canberra. DPI/DSE CGDL Catalogue, 16th Edition, November 2002. 
Status
Obsolete 
 
 

Maintenance

Maintenance and update frequency
Unknown 
 
 

Format

Title
Arc/Info Coverage 1 
 
 

Contacts

  Point of contact

Cited responsible party

No information provided.

Cited responsible party

No information provided.
 
 

Keywords

Topic category
  • Society
 
 

Resource Constraints

Use limitation
Access will be provided by DPI and the North Central CMA 
Classification
Limited Distribution 
 
 

Lineage

Statement
Dataset Source: Created from: (1) CGDL Layers (DPI 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 - Public Land Management - current legal status of land 1:100,000 - plmmt100 - Tree Cover - 1:25,000 - tree25 - Crown Land Agricultural Leasing Layer - 1:25,000 - aglic - Mining Leases - min100 (2) Satellite Imagery - Landsat 7 ETM sub-scenes dated December 1999 - March 2000 (NW Mosaic), 6th April 2001, 3rd May 2002, and 7th June 2002. (3) Planning maps, Pdata, from Infrastructure Department, Victoria. (4) Part of existing landuse map from SW CMA (5) Fieldwork carried out from May 2002 to October 2002. (6) Aerial Photography taken from March to June 1999. (7) CFA Mapbook Region 2 (1996) and Region 20 (2000) (8) DOI Zoning Layer (2001) Dataset Originality: Derived 
 
 

Metadata Constraints Metadata Constraints

Classification
Limited Distribution 
 
 

Quality

Attribute Quality
Comments
Attributes were checked with the original input data 
 
Positional Accuracy
Comments
25 - 100m 
 
Conceptual Consistency
Comments
* Data Collation: Integration of existing datasets containing information relating to landuse including remotely sensed Landsat Thematic Mapper data, aerial photography, DPI/DSE Corporate datasets including cadastre, public land, infrastructure and planning data. This data was compiled in Arc/Info format, as per the technical specifications in the BRS landuse mapping handbook. * Interpretation (draft maps for field verification): This stage involved interpreting landuse, creating a landuse mask dataset from source datasets, assigning appropriate landuse codes and preparing draft landuse maps for verification and field checking. * Verification: Field verification of draft landuse maps included the annotation of field maps on the basis of expert advice and field checking. The primary focus of this activity was to capture agricultural landuse and incorporated extensive windsceen surveys, utilizing GPS mapping technology, and local knowledge of DPI/DSE and G-MW staff. * Final Editing: Final editing was carried out using ArcGIS software and incorporating field survey datasets, remote sensing and aerial photographic interpretation, ancillary datasets prepared in step 1 and CFA mapbooks. 
 
Missing Data
Comments
Land Use has been mapped across the full extent of the study area down to a minimum secondary ALUM Version 5 level 
 
Excess Data
 
 


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