Annual Fire Scars - Landsat, QLD DES algorithm, QLD coverage

The data set is a statewide annual composite of fire scars (burnt area) derived from all available Landsat 5, 7 and 8 images acquired over the period January to December using time series change detection. Fire scars are automatically detected and mapped using dense time series of Landsat imagery acquired over the period 1987 - present. In addition, from 2013, products have undergone significant quality assessment and manual editing. The automated Landsat fire scar map products covering the period 1987-2012 were validated using a Landsat-derived data set of over 500,000 random points sampling the spatial and temporal variability. On average, over 80% of fire scars captured in Landsat imagery have been correctly mapped with less than 30% false fire rate. These error rates are significantly reduced in the edited 2013-2016 fire scar data sets, although this has not been quantified. <br> For the 2016 annual fire scar composite, the manual editing stage incorporated Landsat and Sentinel 2A imagery (resampled to match Landsat spatial resolution), allowing for increased cloud-free ground observations, and an associated reduction in the number of missed fires (not quantified). Sentinel 2A images were primarily used to map fire scars that were otherwise undetectable in the Landsat sequence due to cloud cover/Landsat revisit time. Additionally, Landsat-7 SLC-Off imagery (affected by striping) was excluded from the 2016 annual composite. It is expected that these modifications should result in improved mapping accuracy for the 2016 period.<br> A new fire scar detection algorithm has been developed, with a new edited product implemented in 2021.
 
Citation proposal
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Simple

Date ( Creation )
2014-10-14T00:00:00
Date ( Publication )
2021-08-30T00:00:00
Date ( Revision )
2021-06-01T00:00:00
Edition
1.0.0 

  Publisher

  Author

Purpose
Characterising historic patterns of burning and changing fire regimes over time (spatial extent, timing, patchiness, frequency and intensity) is important for improving our understanding and management of fire, climate, land-use and vegetation interactions. These products may assist the development of appropriate fire management practices and benefit a range of conservation and resource management objectives, as well as ongoing scientific research. 
Credit
Landsat 5 TM, Landsat 7 ETM+ and Landsat 8 OLI images were acquired from United States Geologic Survey. 
Credit
Copernicus Sentinel 2 data from the European Union and European Space Agency Copernicus Program. 
Status
Completed  

  Point of contact

Topic category
  • Imagery base maps earth cover
  • Environment
Description
Queensland 
N
S
E
W


Time period
1987-01-012016-12-31 
  • fire events ,
  • Month ,
  • TM ,
  • ,
  • LANDSAT-5
  • ETM+ ,
  • ,
  • LANDSAT-7
  • OLI ,
  • ,
  • LANDSAT-8
  • ,
  • SENTINEL-2A
GCMD Earth Science and Earth Science Services Keywords
  • VEGETATION COVER ,
  • FIRE HISTORY
Temporal Resolution
  • Weekly - < Monthly
ANZSRC Fields of Research
  • ECOLOGICAL APPLICATIONS ,
  • ENVIRONMENTAL SCIENCE AND MANAGEMENT
Title
Creative Commons Attribution 4.0 International Licence 
Alternate title
CC-BY 
Edition
4.0 
Website

Access constraints
License  
Use constraints
Other restrictions  
Other constraints
TERN services are provided on an “as-is” and “as available” basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure. Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN. 
Title
Australian Government Security Classification System 
Edition date
2018-11-01T00:00:00  
Website

Classification
Unclassified  
Handling description
OFFICIAL (Australian Government Security Classification System) 
Language
English  
Character encoding
UTF8  
Distribution format
  • TIFF

OnLine resource

Download Annual Fire Scars data via HTTP

OnLine resource
Goodwin, N.R. and Collett, L.J. 2014. Development of an automated method for mapping fire history captured in Landsat TM and ETM+ time series across Queensland, Australia. Remote Sensing of Environment 148, 206-221

Hierarchy level
Dataset  
Standalone quality report details
The input imagery was processed to level L1T by the USGS. Geodetic accuracy of the product depends on the image quality and the accuracy, number, and distribution of the ground control points. 
Statement
The USGS aims to provide image-to-image registration with an accuracy of 12m. Refer to the L8 Data Users Handbook for more detail. For 1987-2012 automated fire scar products, the average fire scar omission error was measured at 15%. 

mdb:MD_Metadata

Metadata identifier
urn:uuid / 461074b3-5272-4e4e-886f-df26bd2426ad

  Point of contact

Resource scope
Dataset  
Metadata linkage

Point-of-truth metadata URL

Date info ( Creation )
2008-11-12T00:00:00
Date info ( Revision )
2021-09-22T06:02:34
Title
ISO 19115.1:2015 Geographic information - Metadata - Fundamentals 
Edition
1.0 
Title
ISO 19115-3:2016 
Edition
1.0 

    Overviews

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