Creation year

2022

403 record(s)

 

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draft

From 1 - 10 / 403
  • This layer has been derived from FIRE_HISTORY data and represents the spatial extent of the last fires recorded, primarily on public land. The layer stores details of the last time an area was known to be burnt by wildfire or prescribed burning and represents a consecutive overlay of all FIRE_HISTORY layers, from older fire seasons to the most recent fire seasons. The data will show fire scars but not severity. This data set is current to 2021/22 fire season.

  • Ground truthing plot locations for the 2009 Victorian Bushfire severity mapping

  • The fire severity classification is derived from a classification of a SPOT and Landsat TM woodlands fire severity index to map the fire severity of the February 2009 Victorian bush fires using ground control and air photograph analysis provided by DSE to Ecowise for validation. The classification is the final product derived using SPOT 4/5 satellite imagery with Landsat 5 imagery used on small areas where cloud or where SPOT imagery coverage was unavailable. Five of the eight classes have been labeled based on severity classes provided with the ground survey data. The remaining classes account for vegetation structures with no specific burn severity assigned. The area covered by the classification is approximately 460 by 300 km and is clipped to the extents of the fire effected lands (approximately 400 000 hectares).

  • Recreation historic relic dataset describes historic relics suitable for public visitation (such as timber tramways, old sawmill sites etc) that are promoted for visitation. The recreation historic relics within State Forest have been captured and recorded with a Trimble Pro XR GPS and are actively promoted to the public and maintained by the Department of Environment, Land, Water and Planning. * recweb

  • This dataset is created by collating the current burnt area from field data and linescan data over the season. The final shapes are the final extent of both bushfires and planned burns. This data includes both FFMVIC and CFA fires and this data is QA by staff in both agencies. It is captured on emap and the final fire scar is downloaded to collated fire history. The final data is provided as a feed and is merged with the fireweb data to show fire cause.The data is limited to the last 10 years.

  • Fire severity classification of bushfires (wildfires) impacting ~1.5 million hectares of predominantly forested public land in eastern and north-eastern Victoria (and ~300,000 ha of southern NSW), between November 2019 and March 2020. Fire severity mapping was derived using machine learning classification (Random forests) of eight Spectral Indices (SI) from pre and post fire Sentinel 2 satellite imagery. The fire severity classification model was trained using high resolution (<35 cm) post-fire near-infrared aerial imagery from 12 bushfires which occurred during the 2018/2019 fire season across areas of Central and Eastern Victoria. A detailed description of the classification methodology can be found in Collins et al. (2018). The classification covers woody vegetation landcover types (including native and non-native forest, woodland and shrubland). The primary purpose of this data to provide rapid and comprehensive landscape-scale spatial information about bushfire severity to inform initial risk assessments on the public land in the actual and potential impact zone. This assists with the transition from response to emergency stabilisation and initial recovery in accordance with the Code of Practice for Bushfire Management on Public Land (2012). Fire severity classes are i) Canopy burnt (Class 6)- CB (> 20% canopy foliage consumed); ii) High canopy scorch (5) - HCS (>80% of canopy foliage is scorched); Medium canopy scorch (4) - MCS (Canopy is a mosaic of both unburnt and scorched foliage, 20 - 80%); iii) Low canopy scorch (3) - LCS (Canopy foliage is largely unaffected (<20% scorched), but the understorey has been burnt); iv) Unburnt (2) - UB (Canopy and understorey foliage are largely (>90%) unburnt). Additional classes: v) No Data (0) (e.g. due to obscuration by cloud, cloud-shadow and/or smoke and haze) and vi) Non-woody vegetation (unclassified) (1). An independent cross-validation of the classification model was used to estimate global and per-class model accuracy. Overall accuracy is estimated to be 85% (0.81 Kappa), with producer per-class accuracy ranging from 97% (CB), 91% (HCS), 88% (UB), 75% (LCS) and 61% (MCS). A ground-based validation of the classification has not been undertaken. Data is provided on the basis that users undertake responsibility for assessing the relevance and accuracy of its content. The Department of Environment, Land, Water and Planning, on behalf of the Victorian Government, makes no representations, either expressed or implied, as to the suitability of this data for any particular purpose. We do not accept any liability to any person: - for the information, data or advice (or the use of such information, data or advice) which is provided or incorporated into it by reference - for any interference with or damage to a user's computer, software or data occurring in connection with or relating to this data or its use Related research can be found in L. Collins, P. Griffioen, G. Newell, A. Mellor (2018), The utility of Random Forests for wildfire severity mapping, Remote Sensing of Environment, 216, 374-384

  • Recreation carpark dataset describes recreation carparks (such as those at picnic/camping sites and at walking trailheads) within State Forest. The recreation carparks within State Forest have been captured and recorded with a Trimble Pro XR GPS and are actively promoted to the public and maintained by the Department of Environment, Land, Water and Planning. * recweb

  • Recreation asset dataset describes assets related to recreation sites or trails (such as toilets, viewing platforms, picnic shelters etc) within State Forest. This dataset provides valuable information to promote these assets for public use as well as assisting staff in their management of these assets. All recreation assets within State Forest have been captured and recorded with a Trimble Pro XR GPS and are actively promoted to the public and maintained by the Department of Environment, Land, Water and Planning. Recreation Asset dataset endeavors to describe recreation assets within State Forest. This dataset will assist staff in their management roles and facilitate promotion to the public. All recreation facilities within State Forest have been captured and recorded with a Trimble Pro XR GPS. All facilities are actively promoted to the public and maintained by the Department of Sustainability and Environment. This dataset has been created as part of the Recreation Facilities Database project. Initial data collection commenced in December 2004 and will be completed in August 2005. New facilities will be added periodically to the dataset as required. * recweb

  • This layer has been derived from FIRE_HISTORY data and represents the spatial extent of the last fires recorded, primarily on public land. The layer stores details of the last time an area was known to be burnt by wildfire or prescribed burning and represents a consecutive overlay of all FIRE_HISTORY layers, from older fire seasons to the most recent fire seasons. This data set is current to 2021/22 fire season. There is no severity data for Gippsland in this version for season 18/19 and 19/20.

  • LCC_ECC_VEAC_INVESTIGATIONS shows the geographic boundaries of the Land Conservation Council (LCC), Environment Conservation Council (ECC) and Victorian Environmental Assessment Council (VEAC) investigation areas. Statewide extent investigations are not included in the dataset: Statewide Assessment of Public Land Use (1988), Rivers and Streams Special Investigation (1991), Wilderness special investigation (1991), Statewide Assessment of Public Land (2017).