{
 "culture": "en-AU",
 "name": "FireScarMapping",
 "guid": "99626D9A-3800-49B8-BFCD-9137FD044747",
 "catalogPath": "",
 "snippet": "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.",
 "description": "Fire scars were automatically detected in Sentinel-2 imagery using differenced\nbare soil fraction values obtained using the Joint Remote Sensing Research\nProgram\u2019s (JRSRP) fractional cover model. A Sentinel-2 pixel is identified as\nlikely burnt if there has been a significant increment in bare soil fraction\nrelative to the previous fractional cover values. Once areas of likely change\nare detected, a region growing algorithm is applied to expand the area to\ncapture the whole fire event. Areas are then filtered into burnt and unburnt\nclasses using a decision tree analysis. Subsequent manual interpretation is\nused to delineate between false positives and true positives. Completeness\n(omission):\n\nThe Sentinel-2 fire scars product has been validated using 480,000 independent\nobservations selected from a range of environments and periods within the fire\nseason across Queensland. The validation result showed that a high proportion\nof burned area was correctly classified (f1score = 0.91) with commission and\nomission error of 13% and 8% respectively. The omission error does not include\nburned area missed because of missing data (e.g. long periods without cloud-\nfree images) due to the lack of an independent validation data set.\n\nThe manual editing applied to the 2020 fire scar product should significantly\nreduce the number of missed fires, although this has not been quantified.\nConsistency (conceptual):\n\nSentinel-2 analysis does not provide a complete record of fire history for\nthis period. Fire scars may be missed or under-mapped due to: - Lack of\nvisibility due to cloud, haze and smoke, and cloud shadow; - Misclassification\nas non-fire related change or cloud shadow; - Lack of detection due to size or\npatchiness. Fire scars smaller than 2 ha may not be included; - Lack of\ndetection due to rapid regrowth of vegetation. This is particularly an issue\nwhen there have been multiple cloud-affected images in the time series; - Lack\nof detection for cool grass/understorey fires, obscured by unburnt vegetation;\n- Lack of detection in the nominated month due to satellite images downloaded\nto RSC's imagery storage later than expected;\n\nFalse burned areas or over-mapping may result from: - Omission errors in the\ncloud/shadow masks, where cloud is classified as fire scar; - Areas of high\nintensity land-use change where the extent of bare ground increases rapidly\n(e.g cropping, vegetation clearing); - Areas of inundation (e.g tidal flats,\nwetlands, ephemeral lakes and channels). Positional accuracy (external,\nabsolute):\n\nAll the data described here has been generated from the analysis of Sentinel-2\ndata acquired as orthorectified images from the European Space Agency.\nSentinel-2 imagery has band-dependent spatial resolutions of 10m and 20m. In-\nhouse analysis of Sentinel-2 image-to-image registration showed that in over\n90% of image pairs, the geometric error was less than 10m. Attribute accuracy\n(non quantitative):\n\nFire scars may persist and continue to be visible for several months in the\nimage time sequence. Where there has been fire scar persistence for a given\npixel within the compositing period, the earliest date of detection is\nrecorded.\n\nThis service provides access to the following spatial datasets:\n\n  * _Fire scar mapping Queensland - current_ (rsc.qld_s2_fire_scars_current)\n  * _2023 Fire scar mapping Queensland_ (rsc.qld_s2_fire_scars_2023)\n  * _2022 Fire scar mapping Queensland_ (rsc.qld_s2_fire_scars_2022)\n  * _2021 Fire scar mapping Queensland_ (rsc.qld_s2_fire_scars_2021)\n  * _2020 Fire scar mapping Queensland_ (rsc.qld_s2_fire_scars_2020)\n  * _2019 Fire scar mapping Queensland_ (rsc.qld_s2_fire_scars_2019)\n  * _2018 Fire scar mapping Queensland_ (rsc.qld_s2_fire_scars_2018)\n  * _2017 Fire scar mapping Queensland_ (rsc.qld_s2_fire_scars_2017)\n  * _2016 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2016_x)\n  * _2015 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2015_x)\n  * _2014 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2014_x)\n  * _2013 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2013_x)\n  * _2012 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2012_x)\n  * _2011 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2011_x)\n  * _2010 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2010_x)\n  * _2009 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2009_x)\n  * _2008 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2008_x)\n  * _2007 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2007_x)\n  * _2006 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2006_x)\n  * _2005 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2005_x)\n  * _2004 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2004_x)\n  * _2003 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2003_x)\n  * _2002 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2002_x)\n  * _2001 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2001_x)\n  * _2000 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_2000_x)\n  * _1999 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_1999_x)\n  * _1998 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_1998_x)\n  * _1997 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_1997_x)\n  * _1996 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_1996_x)\n  * _1995 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_1995_x)\n  * _1994 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_1994_x)\n  * _1993 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_1993_x)\n  * _1992 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_1992_x)\n  * _1991 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_1991_x)\n  * _1990 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_1990_x)\n  * _1989 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_1989_x)\n  * _1988 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_1988_x)\n  * _1987 Fire scar mapping Queensland_ (rsc.qld_landsat_fire_scars_1987_x)\n\n",
 "summary": "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.",
 "title": "Fire scar mapping Queensland",
 "tags": [
  "fire scars",
  "burnt area mapping"
 ],
 "type": "Map Service",
 "typeKeywords": [
  "Data",
  "Service",
  "Map Service",
  "ArcGIS Server"
 ],
 "thumbnail": "thumbnail/thumbnail.png",
 "url": "",
 "extent": [
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  ],
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 "minScale": 0,
 "maxScale": 1.7976931348623157E308,
 "spatialReference": "GDA2020",
 "accessInformation": "© State of Queensland (Department of Environment and Science) 2023",
 "licenseInfo": "© State of Queensland (Department of Environment and Science) 2023\n\n[![Creative Commons \u2014 Attribution 4.0 International Logo](https://licensebuttons.net/l/by/4.0/88x31.png)](https://creativecommons.org/licenses/by/4.0/) This service is licenced under a [Creative Commons \u2014 Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/) licence.\n\nAttribution is requested in the following manner: © State of Queensland (Department of Environment and Science) 2022."
}