TERN Geospatial Catalogue
Fire Scars - Sentinel-2, QLD DES algorithm, Queensland coverage
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.
Simple
Identification info
- Date (Creation)
- 2021-06-15
- Date (Publication)
- 2021-07-07
- Date (Revision)
- 2021-06-29
- Edition
- 1.0.0
Publisher
Author
Department of Environment and Science, Queensland Government
Ecosciences Precinct, 41 Boggo Road
Dutton Park
QLD
4102
Australia
- Website
- https://www.tern.org.au/
- 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.
- Credit
- This dataset was produced using satellite-derived products created by the Joint Remote Sensing Research Program using data sourced from the US Geological Survey.
- Status
- On going
Point of contact
Department of Environment and Science, Queensland Government - van den Berg, Deanna ()
Ecosciences Precinct, 41 Boggo Road
Dutton Park
QLD
4102
Australia
Spatial resolution
- Level of detail
- 1 meter - < 30 meters
- Topic category
-
- Environment
Extent
- Description
- Queensland
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Temporal extent
- Time period
- 2017-01-01
- Title
- 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.
- Website
-
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.
Related documentation
- Title
- 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.
- Website
-
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.
Related documentation
- Title
- 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.
- Website
-
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.
Related documentation
- Maintenance and update frequency
- Monthly
- TERN Platform Vocabulary
- Keywords
- Keywords
- GCMD Earth Science and Earth Science Services Keywords
- Temporal Resolution
- ANZSRC Fields of Research
- Keywords (dataResolution)
Resource constraints
- Use limitation
- 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/
- File name
- 88x31.png
- File description
- CCBy Logo from creativecommons.org
- File type
- png
- Title
- Creative Commons Attribution 4.0 International Licence
- Alternate title
- CC-BY
- Edition
- 4.0
- 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. <br/>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. <br /><br />Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting
- Other constraints
- Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.
- Other constraints
- It is not recommended that these data sets be used at scales more detailed than 1:100,000.
Resource constraints
- Classification
- Unclassified
- 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: <satellite category code><instrument code><product code>_<where>_<when>_<processing stage code>_<additional dataset specific tags> 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
Distribution Information
Distributor
Distributor
- OnLine resource
-
Download Fire Scars via HTTP
Download Fire Scars via HTTP
Distribution Information
Distributor
Distributor
- OnLine resource
-
sentinel-2_fire_scars_queensland_filenaming_convention.txt
Data file
Data quality info
- Hierarchy level
- Dataset
- Other
- 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.
Report
Result
- Statement
- 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.
Resource lineage
- Statement
- Sentinel-2 surface reflectance data > multiple single-date fractional cover datasets > single-date fire scar mapping > monthly composite of fire scars > annual composite of fire scars
- Hierarchy level
- Dataset
Process step
- Description
- Fire scars were automatically detected in Sentinel-2 imagery using differenced bare soil fraction values obtained using the Joint Remote Sensing Research Program’s (JRSRP) fractional cover model. A Sentinel-2 pixel is identified as likely burnt if there has been a significant increment in bare soil fraction relative to the previous fractional cover values. Once areas of likely change are detected, a region growing algorithm is applied to expand the area to capture the whole fire event. Areas are then filtered into burnt and unburnt classes using a decision tree analysis. Subsequent manual interpretation is used to delineate between false positives and true positives.
- Title
- Summary
Process step
- Description
- The RapidFire algorithm is applied to the JRSRP Sentinel-2 fractional cover product. The RapidFire algorithm identifies core pixels of potentially burned area, based on the temporal difference in bare soil cover fraction. Core pixels are spatial clusters (bigger than 15 pixels) where the change in bare cover fraction exceeds an optimised threshold. The extent of the pixels classified as potentially burned are expanded, using a region growing algorithm on the core pixels. An object-oriented classification is used to discriminate between burned and unburned areas. The classification tree was based on the median values of the temporal difference of NBR (dNBR) and NIR + IR (dNIRIR) of each potentially burned area.
- Title
- RapidFire algorithm
Process step
- Description
- Manual editing is conducted by trained analysts to reduce the number of false fires and omission errors.
- Title
- Manual Editing
Process step
- Description
- Single date manually-edited fire scar data is composited into monthly periods.
- Title
- Monthly Composite
Process step
- Description
- All mapped fire scars across QLD in a January to December period are composited together to create annual composites. 1-12: month (of Sentinel-2 acquisition) when fire scar was first detected; 254: crop/water masked (using Current Queensland Land Use Mapping) - no fire scar detection conducted.
- Title
- Annual Composite
Process step
- Description
- Sentinel-2 analysis does not provide a complete record of fire history. Fire scars may be missed or under-mapped due to: 1) Lack of visibility due to cloud, haze and smoke, and cloud shadow; 2) Misclassification as non-fire related change or cloud shadow; 3) Lack of detection due to size or patchiness. Fire scars smaller than 2 ha may not be included; 4) Lack of detection due to rapid regrowth of vegetation. This is particularly an issue when there have been multiple cloud-affected images in the time series; 5) Lack of detection for cool grass/understorey fires, obscured by unburnt vegetation; False burned areas or over-mapping may result from: 1) Omission errors in the cloud/shadow masks, where cloud is classified as fire scar; 2) Areas of high intensity land-use change where the extent of bare ground increases rapidly (e.g cropping, vegetation clearing); 3) Areas of inundation (e.g tidal flats, wetlands, ephemeral lakes and channels).
- Title
- Consistency
Process step
- Description
- Fire scars may persist and continue to be detected for several months in the image time sequence. Where there has been fire scar persistence or multiple fire scars recorded for a given pixel within the compositing year, the earliest month of detection is recorded.
- Title
- Attribute Accuracy
Process step
- Description
- This approach has some important consequences: 1) Not all the pixels of an image are analysed due to cloud and shadow effects; 2) Time elapsed between observations for different pixels of the same image may differ, again due to cloud and shadow effects over time; and 3) Burned areas only appear once in the record. If for some reason a burned area is missed in the first unmasked observation it will be missed in the whole record. This new method is a different approach from the previous Landsat-derived fire scar mapping program (1987-2016). That automated time series method identified large negative outliers in reflectance indices (based on NIR and SWIR1 bands) relative to the time series.
- Title
- RapidFire Approach
Reference System Information
- Reference system identifier
- EPSG/GDA94 / Australian Albers (EPSG:3577)
Metadata
- Metadata identifier
-
urn:uuid/7b6d2b84-cbf3-46e8-aa8c-c49352f9ffd5
- Title
- TERN GeoNetwork UUID
- Language
- English
- Character encoding
- UTF8
Point of contact
Type of resource
- Resource scope
- Dataset
- Metadata linkage
-
https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/7b6d2b84-cbf3-46e8-aa8c-c49352f9ffd5
Point-of-truth metadata URL
- Date info (Creation)
- 2008-11-12T00:00:00
- Date info (Revision)
- 2022-01-10T00:27:03
Metadata standard
- Title
- ISO 19115-1:2014/AMD 1:2018 Geographic information - Metadata - Fundamentals
- Edition
- 1
Metadata standard
- Title
- ISO/TS 19115-3:2016
- Edition
- 1.0
Metadata standard
- Title
- ISO/TS 19157-2:2016
- Edition
- 1.0
- Title
- Terrestrial Ecosystem Research Network (TERN) Metadata Profile of ISO 19115-3:2016 and ISO 19157-2:2016
- Date (published)
- 2021
- Edition
- 1.0
Identifier
Overviews
Spatial extent
N
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Provided by
Associated resources
Not available