This dataset provides state-wide fire scar mapping for major bushfires that have occurred within South Australia. It also provides fire scar mapping for prescribed burning activities that have occurred on land managed by the State Government Agencies (Department of Environment, Water and Natural Resources, Forestry SA and SA Water). A landscape approach is used for fire history mapping but may be incomplete for a given reserve and region. “Burnoffs” on private land are excluded from this dataset.

This dataset is a filtered product from “The Historical Bush fire Boundaries” dataset which is available here. Below filters are applied to “The Historical Bush fire Boundaries” dataset to prepare this visualisation: Records within New South Wales state boundaries. Records with known attributes of "extinguish_date" and "ignition_date".Duration is a calculated attribute called "duration"; derived from "extinguish_date" and "ignition_date" attributes. "duration" in days = "extinguish_date" – "ignition_date" + 1 Visualisation and Attributes: Time enabled based on the "ignition_date"Colored based on the "fire_type"Transparency based on the "duration" Useful links, For complete “The Historical Bush fire Boundaries” dataset, please use this source linkMore information about the ARDC Project and Work Package 4More information about the Fire History Data Dictionary Metadata Content TitleNSW Historical Bushfire Boundaries WebAppContent TypeWeb ApplicationDescriptionNSW Fire history data; including bushfires and prescribed burns ranging from 1998 to 2022 with known duration.Initial Publication Date23/08/2023Data Currency23/08/2023Data Update FrequencyOtherContent SourceOtherFile TypeMap Feature ServiceAttributionFor additional information, please contact us via the Spatial Services Customer HubData Theme, Classification or Relationship to other DatasetsFor additional information, please contact us via the Spatial Services Customer HubAccuracyFor additional information, please contact us via the Spatial Services Customer HubSpatial Reference System (dataset)GDA94Spatial Reference System (web service)EPSG:3857WGS84 Equivalent ToGDA94Spatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonStandard and SpecificationFor additional information, please contact us via the Spatial Services Customer HubData CustodianARDC, Geoscience Australia and the Emergency Management Spatial Information NetworkPoint of ContactPlease contact us via the Spatial Services Customer HubData AggregatorLive NSWDCS Spatial Services346 Panorama AveBathurst NSW 2795Data DistributorLive NSWDCS Spatial Services346 Panorama AveBathurst NSW 2795Additional Supporting InformationContent Source - “The Historical Bush fire Boundaries” datasetDue to data licensing restrictions and or unavailability of data not all of the jurisdictional historical bush fire data was made available. This is a known limitation of the dataset.TRIM Number

Fire severity is a metric of the loss of biomass caused by fire. In collaboration with the NSW Rural Fire Service, DCCEEW Remote Sensing & Regulatory Mapping team has developed a semi-automated approach to mapping fire extent and severity through a machine learning framework based on sentinel 2 satellite imagery. The statewide severity map has standardised classes to allow comparison of different fires across the landscape. The FESM severity classes include: unburnt, extent only (grass fires), low severity (burnt understory, unburnt canopy), moderate severity (partial canopy scorch), high severity (complete canopy scorch, partial canopy consumption), extreme (full canopy consumption). This dataset represents the 2023/24 fire year including all wildfires >10ha with a fire start date between 1 July 2023 and 30 June 2024.

Geotiff Images of fire affected areas in Litchfield National Park for the year 2014 based on the NASA Moderate Resolution Imaging Spectroradiometer (MODIS). These Images are clipped from geotiff images of fire affected areas in far northern Australia available from North Australian Fire Information (NAFI) website. The images have a resolution of 250 m (pixel size) and each burnt pixel is tagged with the month that covers the largest part of the date interval in which the burnt pixel was detected. These data cover Kakadu National Park, but are part of a larger data set that extends across far northern WA down to 21 degrees S, across the entire NT (down to 26 degrees S) and all of Qld (down to 29 degrees S). The NAFI mapping covers the years 2000 to present and since 2012, the mapping also includes northern SA down to 29 degrees S. Mapping landscapes north of 20 degrees S in WA, NT and Qld has been validated by aerial and on-ground transects across northern Australia.

Fire severity is a metric of the loss of biomass caused by fire. In collaboration with the NSW Rural Fire Service, DPE Remote Sensing & Regulatory Mapping team has developed a semi-automated approach to mapping fire extent and severity through a machine learning framework based on sentinel 2 satellite imagery. The statewide severity map has standardised classes to allow comparison of different fires across the landscape. The FESM severity classes include: unburnt, extent only (grass fires), low severity (burnt understory, unburnt canopy), moderate severity (partial canopy scorch), high severity (complete canopy scorch, partial canopy consumption), extreme (full canopy consumption). This dataset represents the 2022/23 fire year including all wildfires >10ha with a fire start date between 1 July 2022 and 30 June 2023.

Fire severity is a metric of the loss of biomass caused by fire. In collaboration with the NSW Rural Fire Service, DPE Remote Sensing & Regulatory Mapping team has developed a semi-automated approach to mapping fire extent and severity through a machine learning framework based on sentinel 2 satellite imagery. The statewide severity map has standardised classes to allow comparison of different fires across the landscape. The FESM severity classes include: unburnt, low severity (burnt understory, unburnt canopy), moderate severity (partial canopy scorch), high severity (complete canopy scorch, partial canopy consumption), extreme (full canopy consumption). This dataset represents the 2017/18 fire year, including wildfires >100ha with fire start date between July 2017 and June 2018.

Fire severity is a metric of the loss of biomass caused by fire. In collaboration with the NSW Rural Fire Service, DPE Remote Sensing & Regulatory Mapping team has developed a semi-automated approach to mapping fire extent and severity through a machine learning framework based on sentinel 2 satellite imagery. The statewide severity map has standardised classes to allow comparison of different fires across the landscape. The FESM severity classes include: unburnt, low severity (burnt understory, unburnt canopy), moderate severity (partial canopy scorch), high severity (complete canopy scorch, partial canopy consumption), extreme (full canopy consumption). This dataset represents the 2018/19 fire year, including wildfires >100ha with fire start date between July 2018 and June 2019.

Fire severity is a metric of the loss of biomass caused by fire. In collaboration with the NSW Rural Fire Service, DPE Remote Sensing & Regulatory Mapping team has developed a semi-automated approach to mapping fire extent and severity through a machine learning framework based on sentinel 2 satellite imagery. The statewide severity map has standardised classes to allow comparison of different fires across the landscape. The FESM severity classes include: unburnt, low severity (burnt understory, unburnt canopy), moderate severity (partial canopy scorch), high severity (complete canopy scorch, partial canopy consumption), extreme (full canopy consumption). This dataset represents the 2021/22 fire year including all wildfires >10ha with a fire start date between July 2021 and June 2022.

Fire severity is a metric of the loss of biomass caused by fire. In collaboration with the NSW Rural Fire Service, DPE Remote Sensing & Regulatory Mapping team has developed a semi-automated approach to mapping fire extent and severity through a machine learning framework based on sentinel 2 and Landsat satellite imagery. Fire Extent and Severity Mapping for the 2016/17 fire year is based on Landsat 8 imagery. Fire Extent and Severity Mapping from the 2017/18 fire year onward is based on Sentinel 2 imagery. The statewide severity map has standardised classes to allow comparison of different fires across the landscape. The FESM severity classes include: unburnt, low severity (burnt understory, unburnt canopy), moderate severity (partial canopy scorch), high severity (complete canopy scorch, partial canopy consumption), extreme (full canopy consumption). This dataset represents the 2016/17 fire year, including wildfires >100ha with fire start date between July 2016 and June 2017.