Victorian Land Cover Mapping 2016

dataset: LANDCOVER_2016
Land cover mapping data is an annual component of the Victorian Land Use Information System, the VLUIS. The land cover information has been created specifically for the VLUIS using time series analysis of the MOD13Q1 or MYD13Q1 products produced by NASA using data collected by the MODIS sensor and freely available on the Reverb | ECHO website. Ground data is collected annually across Victoria using a stratified random sampling approach for calibration of the annual seasonal curves and validation of the classification output. The ground data is split into three groups with 50% used to develop classification rules, 25% used to produce interim validation results that feed back into the rule development process with the remaining 25% used to independently validate the final classification. Error matrices for each land cover dataset from 2009 have been produced from this final validation. The TIMESAT GUI is used to create smoothed annual time series for the Normalised Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and the Red and Near Infrared (NIR) MOD13Q1 or MYD13Q1 bands using the Savitsky-Golay algorithm. A time series of 21 images was used and a suite of 11 seasonal parameters created that each numerically describe features of the annual seasonal curves for each band. In addition the standard deviation of the annual seasonal curve is calculated for each band and used in conjunction with the seasonal parameters. A three-tiered hierarchical classification was developed to assign a dominant land cover class to each pixel. Initially, rules developed using the data mining tool See5 and / or expert knowledge were applied to the seasonal parameters and the annual standard deviation in conjunction with a GIS data-set of water bodies greater than 12.5ha in area to classify each pixel as either Tree, Non-tree or Water based on two data sets from the corporate spatial data library, HY_WATER_AREA_POLY.shp and VM_LITE_HY_WATER_AREA.shp; and are combined to form the water bodies layer. In addition, the primary classes are cross checked using data from preceding and following years to reduce misclassification prior to the secondary classification. A secondary classification developed using rules based on expert knowledge and / or See5 is applied to split the primary class Tree into the secondary classes Native Woody Cover and Treed Production and the primary class Non-tree into the secondary classes Pasture/ Grassland and Crops. Finally, a tertiary classification further divides the secondary class Treed Production into the tertiary classes Hardwood Plantation, Softwood Plantation and evergreen or deciduous Woody Horticulture and the secondary class Crops into the tertiary classes Brassicas, Legumes, Cereals and Non-Woody Horticulture based on rules developed using the data mining tool See5 and modified where appropriate by expert knowledge. Additional information on land cover mapping, including map symbology, can be found on Victorian Resources Online. DOI 10.26279/5b98592d6b27d
 
Citation proposal Citation proposal
(2021)

Victorian Land Cover Mapping 2016

Department of Energy, Environment and Climate Action
 

Simple

 
 

Description

Title
Victorian Land Cover Mapping 2016 
Alternate title
LANDCOVER_2016 
Supplemental Information
Related Documents: None http://vro.depi.vic.gov.au/dpi/vro/vrosite.nsf/pages/luis http://vro.depi.vic.gov.au/dpi/vro/vrosite.nsf/pages/luis 
Status
Completed  
 
 

Temporal

 
 

Spatial

Code
4283 
 
 

Maintenance

Maintenance and update frequency
Annually  
 
 

Format

Title
Geotiff 3 
 
 

Contacts

  Point of contact

Cited responsible party  

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Cited responsible party  

No information provided.
 
 

Keywords

Topic category
  • Society
  • Farming
 
 

Resource Constraints

Use limitation
The custodian should be contacted to assess the utility of this dataset for your purpose. 
Classification
Unclassified  
 
 

Lineage

Statement
Dataset Source: The dataset has been created by the Spatial Information Sciences Group of the Department of Economic Development, Jobs, Transport, and Resources, Agriculture Research Division. Tertiary Dominant Land Classes: 0 Unknown 1 Water 11 Native Woody Cover 121 Deciduous Woody Horticulture 122 Evergreen Woody Horticulture 123 Hardwood Plantation 124 Softwood Plantation 21 Pasture and grassland 221 Brassicas 222 Cereals 223 Legumes 224 Non-woody Horticulture 3 Bare and non-photosynthetic material Dataset Originality: Primary & Derived 
Description
Collection Method: Not Known 
Description
Not Known 
 
 

Metadata Constraints

Classification
Unclassified  
 
 

Quality

Attribute Quality
Comments
Land cover 2014: Overall accuracy for this land cover classification was 66.4%. The accuracy for individual classes may vary and users are asked to refer to the data error matrix for more detailed accuracy information. Land cover 2015: Overall accuracy for this land cover classification was 72.1%. The accuracy for individual classes may vary and users are asked to refer to the data error matrix for more detailed accuracy information. 
Positional Accuracy
Comments
Not Known 
Conceptual Consistency
Comments
Not Known 
Missing Data
Comments
Victoria Completeness Verification: Overall Accuracy = (912/1262) 72.2662% Kappa Coefficient = 0.6571 
Excess Data
 
 

Acquisition Info

 
 

Raster Data Details

 
 

Point Cloud Data Details

 
 

Contour Data Details

 
 

Survey Details

 
 

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