Victorian Bushfires Severity Map 2009 (Polygons)
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  Victorian Bushfires Severity Map 2009 (Polygons)

dataset: FIRE_SEV09_POLY
The vector dataset is based on the filtered version (3x3 pixel filter) of the class fire severity classification raster product as derived from a classification of a SPOT and Landsat TM woodlands fire severity indexes to map the fire severity of the February 2009 Victorian bush fires using ground control and air photograph analysis provided by DSE to Ecowise for validation. The noise filtered classification is the final product derived using SPOT 4/5 satellite imagery with Landsat 5 imagery used on small areas where cloud or where SPOT imagery coverage was unavailable. . The five of the eight classes have been labeled based on severity classes provided with the ground survey data. The remaining classes account for vegetation structures with no specific burn severity assigned. The area covered by the classification is approximately 460 by 300 km and is clipped to the extents of the fire effected lands (approximately 400 000 hectares).
 
Citation proposal Citation proposal
(2022)

Victorian Bushfires Severity Map 2009 (Polygons)

Department of Energy, Environment and Climate Action

https://metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/c0559b38-c8b7-5f05-89ca-02c878345c1d
 
  • Description
  • Temporal
  • Spatial
  • Maintenance
  • Format
  • Contacts
  • Keywords
  • Resource Constraints
  • Lineage
  • Metadata Constraints
  • Quality

Description

Title
Victorian Bushfires Severity Map 2009 (Polygons) 
Alternate title
FIRE_SEV09_POLY 
Resource Type
Dataset  
Supplemental Information
Related Documents: None 
Status
Completed  
 
 

Temporal

Time period
2009-03-272009-07-17 
 
 

Spatial

Spatial representation type
Vector  
Horizontal Accuracy
25m  
Code
4283 


 

 

Maintenance

Maintenance and update frequency
Not planned  
 
 

Format

 
 

Contacts

  Point of contact

Department of Energy, Environment and Climate Action - FFOD Stategis   (Forest Fire Operations Division)  

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.
 
 

Keywords

Topic category
  • Environment
 
 

Resource Constraints

Use limitation
Data is not to be distributed without authorisation from the Department of Sustainability and Environment (DSE), Victoria 
Classification
Unclassified  
 
 

Lineage

Statement
Dataset Source: The dataset is a derived product from raw satellite data as acquired by the SPOT 4 and 5 Satellite. The imagery is a product orthorectified by DSE. Calibration of the imagery has been limited to the application of the gain values as supplied with the SPOT images for the post fire scenes while the pre fire scenes were spectrally matched to the post fire scenes through the use of "invarient" targets including water bodies, highly reflective features and unchanged forests. Where multiple post fire images are mosaiced, the central scene or scene of best quality is used as the reference to which all other scenes are matched. A fire severty index was prepared through the digital processing of the pre fire and post fire imagery. The analysis is largely based on a ratio of the SWIR and NIR bands though a Transform Vegetation Index (TVI) ratio was used on Wilsons Promitory. The index for each region was then compared against ground information and split into five classes that can be statistically justified from the six descrete classes supplied by DSE. The Churchill, Dargo, Redesdale and Horsham areas do not have any ground survey points available for verification. The Churchill fire severity classes were extrapolated across from the Kinglake and Bunyip SPOT scenes while all other areas are classified through visual interpretation of the imagery. In wooded areas within Dargo, Redesdale and Horsham, only severity classes one to three have been interpreted with all other wooded areas left as unclassified burnt woodlands. The Redesdale and Horsham areas are dominated by grassland burns with grasslands either within classes seven or eight dependent on their likelyhood of actually being burnt. Noise filtering has been performed using a 3X3 majority filter. This filter simply applies the majority value within a 3X3 window to the central pixel thus removing the majority of speckle within the classification. A basic conversion to vector has been undertaken with no additional simplifications performed. The constructed attributes table contains a measure of area (in hectares) and a class description. Dataset Originality: Derived 
 
 

Metadata Constraints

Classification
Unclassified  
 
 

Quality

Attribute Quality
Comments
Error Assessment Landsat Class | % within class | %of one category in error | %beyond one category in error 1 81.3 18.13 0.58 2 74.3 24.64 1.07 3 58.8 34.83 6.37 4/5a 44.16 53.03 2.8 5b 66.6 23.8 9.6 Error Assessment SPOT Class | % within class | % of one category in error | % beyond one category in error 1 55.1 42.0 2.8 2 64.7 32.8 2.5 3 50.6 43.8 5.6 4/5a 45.1 50.8 4.1 5b 52.9 41.2 5.9 Error Assessment SPOT (3x3 filter) Class | % within class | % of one category in error | % beyond one category in error 1 56.8 41.5 1.7 2 70.7 27.8 1.6 3 52.8 42.3 4.9 4/5a 47.6 50.1 2.3 5b 76.5 17.6 5.9 
Positional Accuracy
Comments
There are three different data sources that are reliant on spatial position used to derive the product, however, the primary data source (satellite imagery) is an orthorectified product as supplied by DSE Victoria. This product has been found to be accurate to within one hundred metres against all other reference information available. Largest issues are seen in scenes taken at shallow angles and in steep terrain. 
Conceptual Consistency
Comments
Not specified 
Missing Data
Comments
Complete Completeness Verification: Incomplete 
Excess Data
Comments
Complete 
 
 

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