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This dataset is a statewide monthly composite of fire scars (burnt area) derived from both Sentinel-2 (2018 onwards) and Landsat (to 2017) images acquired over Queensland. Fire scars have been mapped using an automated change detection method, with supplementary manual interpretation. This data contains both automated and manually edited data.1: burnt area detected. 0: NULL/not burnt. For more information go to the Department website https://www.qld.gov.au/environment/land/management/mapping/statewide-monitoring/firescar. |
| summary:
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This dataset is a statewide monthly composite of fire scars (burnt area) derived from both Sentinel-2 (2018 onwards) and Landsat (to 2017) images acquired over Queensland. Fire scars have been mapped using an automated change detection method, with supplementary manual interpretation. This data contains both automated and manually edited data.1: burnt area detected. 0: NULL/not burnt. For more information go to the Department website https://www.qld.gov.au/environment/land/management/mapping/statewide-monitoring/firescar. |
| extent:
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[[137.808739179,-29.825203986],[153.620837592,-9.57801702999996]] |
| accessInformation:
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© State of Queensland (Department of Environment and Science) 2023 |
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thumbnail/thumbnail.png |
| maxScale:
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1.7976931348623157E308 |
| typeKeywords:
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["Data","Service","Map Service","ArcGIS Server"] |
| description:
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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. Completeness
(omission):
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. 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.
Consistency (conceptual):
Sentinel-2 analysis does not provide a complete record of fire history for
this period. Fire scars may be missed or under-mapped due to: - Lack of
visibility due to cloud, haze and smoke, and cloud shadow; - Misclassification
as non-fire related change or cloud shadow; - Lack of detection due to size or
patchiness. Fire scars smaller than 2 ha may not be included; - 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; - Lack
of detection for cool grass/understorey fires, obscured by unburnt vegetation;
- Lack of detection in the nominated month due to satellite images downloaded
to RSC's imagery storage later than expected;
False burned areas or over-mapping may result from: - Omission errors in the
cloud/shadow masks, where cloud is classified as fire scar; - Areas of high
intensity land-use change where the extent of bare ground increases rapidly
(e.g cropping, vegetation clearing); - Areas of inundation (e.g tidal flats,
wetlands, ephemeral lakes and channels). Positional accuracy (external,
absolute):
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. Attribute accuracy
(non quantitative):
Fire scars may persist and continue to be visible for several months in the
image time sequence. Where there has been fire scar persistence for a given
pixel within the compositing period, the earliest date of detection is
recorded.
This service provides access to the following spatial datasets:
* _Fire scar mapping Queensland - current_ (rsc.qld_s2_fire_scars_current)
* _2023 Fire scar mapping Queensland_ (rsc.qld_s2_fire_scars_2023)
* _2022 Fire scar mapping Queensland_ (rsc.qld_s2_fire_scars_2022)
* _2021 Fire scar mapping Queensland_ (rsc.qld_s2_fire_scars_2021)
* _2020 Fire scar mapping Queensland_ (rsc.qld_s2_fire_scars_2020)
* _2019 Fire scar mapping Queensland_ (rsc.qld_s2_fire_scars_2019)
* _2018 Fire scar mapping Queensland_ (rsc.qld_s2_fire_scars_2018)
* _2017 Fire scar mapping Queensland_ (rsc.qld_s2_fire_scars_2017)
* _2016 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2016_x)
* _2015 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2015_x)
* _2014 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2014_x)
* _2013 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2013_x)
* _2012 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2012_x)
* _2011 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2011_x)
* _2010 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2010_x)
* _2009 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2009_x)
* _2008 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2008_x)
* _2007 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2007_x)
* _2006 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2006_x)
* _2005 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2005_x)
* _2004 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2004_x)
* _2003 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2003_x)
* _2002 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2002_x)
* _2001 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2001_x)
* _2000 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2000_x)
* _1999 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_1999_x)
* _1998 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_1998_x)
* _1997 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_1997_x)
* _1996 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_1996_x)
* _1995 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_1995_x)
* _1994 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_1994_x)
* _1993 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_1993_x)
* _1992 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_1992_x)
* _1991 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_1991_x)
* _1990 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_1990_x)
* _1989 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_1989_x)
* _1988 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_1988_x)
* _1987 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_1987_x)
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| licenseInfo:
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© State of Queensland (Department of Environment and Science) 2023
[](https://creativecommons.org/licenses/by/4.0/) This service is licenced under a [Creative Commons — Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/) licence.
Attribution is requested in the following manner: © State of Queensland (Department of Environment and Science) 2022. |
| catalogPath:
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| title:
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Fire scar mapping Queensland |
| type:
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Map Service |
| url:
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|
| tags:
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["fire scars","burnt area mapping"] |
| culture:
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en-AU |
| name:
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FireScarMapping |
| guid:
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99626D9A-3800-49B8-BFCD-9137FD044747 |
| minScale:
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0 |
| spatialReference:
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GDA2020 |