Journal article
Spatial databases and techniques to assist with prescribed fire management in the south-east Queensland bioregion
International Journal of Wildland Fire, Vol.30(2), pp.90-111
2021
Abstract
This paper identifies key fire history and fire-related spatial databases that can be utilised for effective planning and assessment of prescribed burns in south-eastern Queensland. To ensure that appropriate fire regimes are maintained for specific management objectives (e.g. biodiversity conservation or risk management), and to assist fire managers with planning prescribed fire and post-fire assessments, we describe, using case studies and existing tools, the application of remote sensing data and derived burned area products together with field data to potentially: (1) improve mapping of fire-prone areas; (2) improve the accuracy of mapping burned areas; (3) monitor temporal changes in fuel structure; and (4) map post-fire severity. This study utilised data collected from aerial and satellite-based multispectral, microwave and laser (LiDAR) sensors. There are several spatial databases and analytical methods available that are not currently used by fire management agencies in this region. For example, the methods to estimate fuel, such as LiDAR, are underutilised and unburned patches within a burned area are not routinely mapped. Better use of spatial datasets could lead to an improved understanding of variables such as fuel status, resulting in more efficient use of fire management resources.
Details
- Title
- Spatial databases and techniques to assist with prescribed fire management in the south-east Queensland bioregion
- Authors
- Sanjeev Srivastava (Author) - University of the Sunshine Coast, Queensland, GeneCology Research Centre - LegacyTom Lewis (Author) - University of the Sunshine CoastLinda Behendorff (Author) - University of QueenslandStuart Phinn (Author) - University of Queensland
- Publication details
- International Journal of Wildland Fire, Vol.30(2), pp.90-111
- Publisher
- C S I R O Publishing
- DOI
- 10.1071/WF19105
- ISSN
- 1448-5516
- Organisation Unit
- Sustainability Research Centre; University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Forest Research Institute; GeneCology Research Centre - Legacy; School of Science and Engineering - Legacy
- Language
- English
- Record Identifier
- 99485108802621
- Output Type
- Journal article
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- Domestic collaboration
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- Forestry
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Source: InCites