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Sentinel-2 Fire Scars - DETSI Algorithm, QLD Coverage 

Ver: 1.0
Status of Data: onGoing
Update Frequency: monthly
Security Classification: unclassified
Dataset Published: 2021-07-07
Dataset Last Modified: 2026-08-18
Metadata viewed 24331 times
Dataset accessed 1300 times
Metadata Created: 2021-06-15
Metadata Last Modified: 2026-08-19
How to cite this collection:
Department of the Environment, Tourism, Science and Innovation, Queensland Government & Joint Remote Sensing Research Program (2021). Sentinel-2 Fire Scars - DETSI Algorithm, QLD Coverage. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://portal.tern.org.au/metadata/7b6d2b84-cbf3-46e8-aa8c-c49352f9ffd5 
Data can be accessed from the following links:
HTTPCloud Optimised GeoTIFFs - Sentinel-2 Fire Scars
WMSsentinel_fire_scars
HTTPLandscape Data Visualiser - Sentinel-2 Fire Scars
HTTPsentinel-2_fire_scars_queensland_filenaming_convention.txt
HTTPVegmachine Timeseries Viewer
HTTPPoint-of-truth metadata URL
HTTPro-crate-metadata.json
Statewide composite of fire scars (burnt area) derived from all available Sentinel-2 images acquired over Queensland. It is available in both monthly and annual composites. Fire scars have been mapped using an automated change detection method, with supplementary manual interpretation. This data contains both automated and manually edited data. 
Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging. This dataset was produced using satellite-derived products created by the Joint Remote Sensing Research Program using data sourced from the US Geological Survey. 
Purpose
These state-wide composites of fire scars (burnt areas) provide regular monitoring and mapping of fire scars across Queensland, useful for managing natural resources, assessing fire hazard and risk, understanding the impacts of fire on grazing production and monitoring ecological impacts over time. This product will have data from 2017 onwards. For pre-2017 fire scar data, see the Annual Fire Scars - Landsat, QLD DES algorithm, QLD coverage dataset. 
Lineage
Data not provided. 
Method DocumentationData not provided.
Procedure StepsData not provided.
Spatial Description
Queensland 
Temporal Coverage
From 2017-01-01 to on going 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

Data Quality Assessment Scope
All the data described here has been generated from the analysis of Sentinel-2 data acquired as orthorectified images from the European Space Agency. Sentinel-2 imagery has band-dependent spatial resolutions of 10m and 20m. In-house analysis of Sentinel-2 image-to-image registration showed that in over 90% of image pairs, the geometric error was less than 10m. The Sentinel-2 fire scars product has been validated using 480,000 independent observations selected from a range of environments and periods within the fire season across Queensland. 
Data Quality Report
Data not provided. 
Data Quality Assessment Outcome
The validation result showed that a high proportion of burned area was correctly classified (f1score = 0.91) with commission and omission error of 13% and 8% respectively. The omission error does not include burned area missed because of missing data (e.g. long periods without cloud-free images) due to the lack of an independent validation data set. The manual editing applied to the 2020 fire scar product should significantly reduce the number of missed fires, although this has not been quantified. 
ANZSRC - FOR
Climate change impacts and adaptation
Environmental management
Data Stream
Satellite Remote Sensing
GCMD Sciences
PALEOCLIMATE INDICATORS - FIRE HISTORY
VEGETATION - VEGETATION COVER
Horizontal Resolution
1 meter - < 30 meters
Parameters
fire event count
Platforms
Sentinel-2A
Sentinel-2B
Project
Earth Observation - Queensland Government
Joint Remote Sensing Research Program
Temporal Resolution
Daily - < Weekly
Topic
environment
imageryBaseMapsEarthCover
Author
Department of the Environment, Tourism, Science and Innovation, Queensland Government
Joint Remote Sensing Research Program
Contact Point
Data Enquiries, Earth Observation and Social Sciences (EOSS)
Publisher
Terrestrial Ecosystem Research Network
Guerschman, J. P.; Oyarzábal, M.; Malthus, T.; McVicar, T. R.; Byrne, G.; Randall, L.; Stewart, J., 2012. Evaluation of the MODIS-based vegetation fractional cover product. CSIRO., 31.
Bastarrika, A.; Chuvieco, E.; Martín, M. P., 2011. Mapping burned areas from landsat tm/etm+ data with a two-phase algorithm: Balancing omission and commission errors. Remote Sensing of Environment., 115, 1003–1012.
Goodwin, N. R.; 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.
Supplemental Information
Filenames for the monthly and annual sentinel-2 fire scar products conforms to the AusCover standard naming convention. The standard form of this convention is: ____ Details for the unique codes used for this dataset can be found in the following table. Data Naming Element | Possible Code(s) | Descriptor satellite category | cv | sentinel-2 instrument | ms | multi-spectral product | re | reflective where | qld | state when | yyyy | single year of data when | yyyymm | single month of data processing stage | afm | fire scar product data projection | a2 | Australian Albers Equal Area 
Resource Specific Usage
Data not provided. 
Environment Description
Data not provided. 
Terrestrial Ecosystem Research Network
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The Creative Commons Attribution 4.0 International (CC BY 4.0) license allows others to copy, distribute, display, and create derivative works provided that they credit the original source and any other nominated parties. Details are provided at https://creativecommons.org/licenses/by/4.0/ 
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