FireHistory is a feature class that holds final fire boundaries for every year for which there is data. Within the feature class are two subtypes Wildfire (FireType 1) and Prescribed Burn (FireType 2). The polygons are mutually exclusive within each year and they often extend outside NPWS Estate. Fire history is captured by all regions within NPWS. At times data captured by the Rural Fire Service (RFS) and Forestry Corporation NSW are imported into this GDB also. The data are now stored centrally in ArcSDE. Enhance Bushfire Management Program (EBMP) Technical Officers collate, update and amend branch data using versions from ArcSDE.

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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 satellite imagery.

The method uses 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).

Here we provide historical severity mapping for 8 priority regions on National Parks land tenure from 1989/90 to 2015/16, which is based on Landsat satellite imagery. This covers approximately 30% of the NPWS Managed Lands, across a wide range of vegetation types. From 2016/17 to the current fire year, these regions are covered in the statewide FESM data, which is based on Sentinel 2 satellite imagery. Ongoing FESM processing aims to achieve statewide coverage back to 1989/90, in staged released, as resources permit.

FireHistory is a feature class that holds final fire boundaries for every year for which there is data. Within the feature class are two subtypes Wildfire (FireType 1) and Prescribed Burn (FireType 2). The polygons are mutually exclusive within each year and they often extend outside NPWS Estate. Fire history is captured by all regions within NPWS. At times data captured by the Rural Fire Service (RFS) and Forestry Corporation NSW are imported into this GDB also. The data are now stored centrally in ArcSDE. Enhance Bushfire Management Program (EBMP) Technical Officers collate, update and amend branch data using versions from ArcSDE.

🇦🇺 Australia English 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 DictionaryMetadata Content TitleNSW Historical Bushfire Boundaries (WebMap)Content TypeWeb MapDescriptionNSW Fire history data; including bushfires and prescribed burns ranging from 1998 to 2022 with known duration.Initial Publication Date23/08/2023Data Currency01/09/2022Data Update FrequencyOtherContent SourceWebsite URLFile 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 ToGDA2020Spatial 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 InformationTRIM Number

Fire severity is a metric of the loss of biomass caused by fire. In collaboration with the NSW Rural Fire Service, the department's Remote Sensing & Regulatory Mapping team has developed a semi-automated approach to mapping fire extent and severity through a machine learning framework based on satellite imagery.

The method uses 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).

Here we provide statewide historical severity mapping of fires >100ha for the 2015-16 fire year, which is based on Landsat satellite imagery (30m pixels). From 2016/17 to the current fire year is covered in the statewide FESM data, which is based on Sentinel 2 satellite imagery (10m pixels).

IgnitionPoint is a feature class that holds ignition point data for a wildfire, where it is known.This feature class is linked to the FireHistory feature class using the GISID attribute. The points may extend outside NPWS Estate. Ignition Points are captured by all regions within NPWS as well as by the Rural Fire Service (RFS) and Forests Corporation NSW. The data is now stored centrally in ArcSDE. Regional Senior Technical Officers collate, update and amend regional data using versions from ArcSDE.

This dataset details the proportion of the geographic range of 26,062 Australian plant species burnt in the 2019-2020 megafire; threatened listing status on state and Commonwealth threatened species legislation; species endemic status in each state/territory according to the Australian Plant Census; and risk ranking for exposure to high fire frequency (short intervals between fires) and cumulative impacts of fire (populations dominated by immature individuals). Further details are provided in the users should consult and cite the associated paper:

Gallagher, R.V., Allen, S., MacKenzie, B.D.E., Yates, C.D., Gosper C.R, Keith, D.A., 29 Merow, C., White, M., Wenk, E., Maitner, B.S., He, K., Adams, V.M. & Auld, T.D. (2021) High fire frequency and the impact of the 2019-2020 megafires on Australian plant diversity. Diversity & Distributions.

Usage Notes Species names were listed as accepted in the Australian Plant Census as of July 2020. Range data was sourced from three lines of evidence: (1) cleaned occurrence data (latitude-longitude point locations) associated with digitised herbarium specimens accessed from the Australasian Virtual Herbarium (https://avh.ala.org.au/) via the Atlas of Living Australia Application Programming Interface (https://api.ala.org.au/) in July 2020; (2) range mapping built from Poisson Point Process models, range bagging and area of occurrence (AOO) calculations; and (3) maps for Species of National Environmental Significance (SNES) for species listed on the Commonwealth Environment Protection and Biodiversity Conservation Act 1999 (EPBC Act) available from the SPRAT database (http://www.environment.gov.au/cgi-bin/sprat/public/sprat.pl). Details of the building of range models are available in the paper associated with this dataset.

The spatial extent of the 2019-2020 fires was quantified using the National Indicative Aggregated Fire Extent Dataset (NIAFED; https://data.gov.au/dataset/ds-environment-9ACDCB09-0364-4FE8-9459-2A56C792C743/details?q=). Geographic ranges were intersected with the NIAFED dataset and proportion of burnt range is reported in the columns: "Proportion of range map burnt", "Proportion of SNES range map burnt (EPBC Act species only) ", and "Proportion of point locations burnt".

Exposure to high fire frequency and the cumulative fire risk rankings were created by intersecting ranges with fire history data for the last 5 years (non-woody species), 15 years (woody species) and 50 years (rainforest trees) and trait data on fire response. Species level data on growth form and fire response traits (resprouter, obligate seeder) were sourced from the AusTraits database (https://www.biorxiv.org/content/10.1101/2021.01.04.425314v1).

The annual spatial extent of fires between September-March between 1969-2018 was quantified by combining data from remote sensing and state agency fire history databases. Remotely sensed data on fire extent in each season between 2003 and 2016 was accessed from the Global Fire Atlas https://www.globalfiredata.org/fireatlas.html and – using the same methods – fire extent data was created for the 2017 and 2018 seasons using imagery from the MODIS product (MCD64A1). Alternate data on annual fire history were accessed under license from environment agency databases in three Australian states – New South Wales (NSW National Parks and Wildlife Service Fire History – Wildfire and Prescribed Burns dataset https://data.nsw.gov.au/data/dataset/1f694774-49d5-47b8-8dd0-77ca8376eb04), Western Australia (Western Australian Department of Biodiversity, Conservation and Attractions Fire History dataset (1969-2020)), and Victoria (Victorian Department of Environment, Land, Water and Planning Fire History dataset). Methods for assigning species ranks are provided in Gallagher (2020) https://www.environment.gov.au/system/files/pages/289205b6-83c5-480c-9a7d-3fdf3cde2f68/files/final-national-prioritisation-australian-plants-affected-2019-2020-bushfire-season.pdf

All correspondence about the dataset should be directed to rachael.gallagher@mq.edu.au. Additional data about fire impacts and threat interactions, as well as code for anlayses, are also available.

The Upland Heath Swamps Plot Network Fire History Data Package records the history of fire across 54 established swamp monitoring sites in upland swamps scattered throughout the study area (Keith and Myerscough 1993). The fire history prior to the establishment of plots in 1983 has been compiled from records and maps held by Sydney Catchment Authority and the National Parks and Wildlife Service including wildfires and prescribed burns (Keith et al. 2006). Since 1982, fire occurrences on the plots have been verified by personal observations (David Keith). Spatial distributions of upland swamp vegetation was interpreted visually from aerial photography flow in 1960 and 1998, and the data were digitally captured and stored. The Upland Heath Swamps Plot Network research plots were established in 1983. A synopsis of related data packages which have been collected as part of the Upland Heath Swamps Plot Network’s full program is provided at http://www.ltern.org.au/index.php/ltern-plot-networks/upland-health-swamps.

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 satellite imagery. \r \r The method uses 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). \r \r Here we provide historical severity mapping for the Blue Mountains region from 1989/90 to 2015/16, which is based on Landsat satellite imagery. From 2016/17 to the current fire year, this region is covered in the statewide FESM data, which is based on Sentinel 2 satellite imagery.

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 satellite imagery.

The method uses 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).

Here we provide historical severity mapping for the Kosciuszko region from 1989/90 to 2015/16, which is based on Landsat satellite imagery. From 2016/17 to the current fire year, this region is covered in the statewide FESM data, which is based on Sentinel 2 satellite imagery.

NSW Rural Fire Service spatial data supply (periodic ETL) to Emergency Service Agencies. Contains fire history and hazard reduction advice plus updates to administrative RFS Boundaries and stations. Suitable for use by Emergency Information Coordination Unit - EICU.

RFS Stations

RFS Brigades

RFS Districts and Zones

BFMC Boundaries

RFS Area

Fire Area Districts

NSW Fire History

Bush Fire Prone Land

Contains archived (fire set to out) current fire year data. With increasing Guardian application use check with RFS that all HR across all agencies are captured

Metadata

These files deal with correspondence and reports relating to fires attended by fire brigades outside the fire area district as defined by the Fire Brigades Act. If fires were attended, the brigade was re-imbursed financially by the person whose property was attended.

(20/14876-82). 7 boxes

Note:
This description is extracted from Concise Guide to the State Archives of New South Wales, 3rd Edition 2000.

(3/13020.2). 1 box (part).





Note:
This description is extracted from Concise Guide to the State Archives of New South Wales, 3rd Edition 2000.

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 satellite imagery.

The method uses 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).

Here we provide historical severity mapping for the Royal-Heathcote region from 1989/90 to 2015/16, which is based on Landsat satellite imagery. From 2016/17 to the current fire year, this region is covered in the statewide FESM data, which is based on Sentinel 2 satellite imagery.

This series contains the Progress Report for the NSW Fire Brigades Smoke Alarm Campaign.

Fire severity is a metric of the loss of biomass caused by fire. In collaboration with the NSW Rural Fire Service, the department's Remote Sensing & Regulatory Mapping team has developed a semi-automated approach to mapping fire extent and severity through a machine learning framework based on satellite imagery.

The method uses 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).

Here we provide statewide historical severity mapping of fires >100ha for the 2012-13 fire year, which is based on Landsat satellite imagery (30m pixels). From 2016/17 to the current fire year is covered in the statewide FESM data, which is based on Sentinel 2 satellite imagery (10m pixels).

These volumes record the Botany Fire Station fire brigade unit’s attendance at fires, fire alarm callouts, chemical spills (later classed as hazardous incidents), road accidents, and training exercises. The emergency scene details include the date and time of an emergency call, the caller, fire location, building occupier, business (if applicable), building construction, the supposed cause of the fire, method of extinguishment, and resulting damage. From 1980 onwards the time spent by the fire unit at the scene is noted in terms of the time "in" and "out" with a total time also recorded.

Series Background

The earliest record items in this series formed part of Concise Guide Series CGS 530. The series, known as 'Fire record books' was transferred as State archives from the Board of Fire Commissioners in 1977, comprised the Fire record books of 15 fire stations in various locations throughout New South Wales. Additional record items in that series were transferred in 1989 or 1990 including some Botany Fire Station volumes.

When State Records received another seven volumes of Fire record books for Botany Fire Station from the New South Wales Fire Brigades on 7 September 2000, it was considered that both the original order and the creating agency would best be reflected if all of the Botany Fire record books were brought together to form a separate series.

Reference to the series may therefore have been recorded in the notes of researchers or in published or unpublished works as CGS 530, described as 'Board of Fire Commissioners Fire record books', or cited by the notation 6/11766 to 6/11775 or 6/13681 and 6/13682.

This series comprises hand written volumes which detail the routine running of the Portland Fire Station recording fires and fire attendance, training exercises (drills), equipment inspections, turnouts, and station parades, along with special events such as the retirement of long serving fire fighters. From July 1993, when Fire Records Books ceased to be maintained, Occurrence Books became the main record of daily activity at country fire stations.

The time of each event or the notification time for each incident is logged with description of the occurrence and the names of personnel responding also listed. Special items, Hours, Minutes and Occurrences are all listed as columns.

An electronic occurrence books rollout commenced from July 2012 for Metropolitan stations and was completed in October 2012. The regional stations rollout commenced in February 2013 and concluded in September 2013. Physical occurrence books are no longer generated. (1)

Endnote
1. Communication from Information Management Officer, Fire & Rescue NSW, May 8, 2015. See TRIM 09/0071.

The mapping criteria was developed by Wildsite Ecological Services. Detailed methods for developing the mapping are included in the project report - Open Ecosystem Restoration Priorities: Byron Shire LGA by Wildsite Ecological Services 2023. GIS mapping & modelling used existing mapping datasets including vegetation (current & historical), soil type, exposure and recent fire.CriterionCriterion DetailsVegetation (current) ByronVeg2021_VIS5109 (2021)Vegetation (historical)2007_BSC_Veg (2007)Soil landscapeMorand, D. (1994) Soil Landscapes of the Lismore-Ballina 1:100,000 Sheet map and report.Morand, D. (1996) Soil Landscapes of the Soil Landscapes of the Murwillumbah-Tweed Heads 1:100,000 Sheet map and report.Exposure (topographical)Topographical exposure (aspect, slope, landscape position) derived from 10-meter digital elevation model.Recent fire (<10 years)Mapped extent of all fires across all tenures as mapped by the NSW NPWS to May 2022. (Fire_NPWS_FireHistory_04052022; NSW National Parks & Wildlife Service)Mapped wildfires in NSW RFS Incident Coordination ONline (ICON) to June 2022 (WildfireHistory; NSW Rural Fire service) Mapped hazard reduction burns to June 2022 (HRWorksActualArea; NSW Rural Fire Service)Expert input via workshop (November 29, 2022) was used to refine modelled potential. Workshop participants included:Andy Erskine (Byron Shire Council)Annette McKinley (Landmark Ecological Services)David Filipczyk (Byron Shire Council)John McVicar (Byron Shire Council)Dr. Joanne Green (EarthScapes Consulting)David Milledge (Landmark Ecological Services)Stuart McDonald (Northern Rivers Ecological)Dave Rawlins (Bush Regenerator)Rapid ground-truthing of key areas was carried out across the Shire over six days in December, 2022. Survey was generally limited to areas visible from the public road network.Currency: February 2023Data Owner: Byron Shire CouncilContact at Council: Liz CaddickCoordinate System: GCS_GDA_1994; MGA Zone 56Vegetation Abbreviations:DSF – Dry Sclerophyll ForestWSF – Wet Sclerophyll ForestSSF – Swamp Sclerophyll ForestFW Wetland – Fresh Water Wetland Additional Information:Report: Open Ecosystem Restoration Priorities: Byron Shire LGA by Wildsite Ecological Services, February 2023.