Analysis and exploitation of landforms for improved optimisation of camera based wildfire detection systems

dc.contributor.authorHeyns, Andries M.
dc.contributor.authordu Plessis, Warren
dc.contributor.authorKosch, Michael
dc.date.accessioned2022-02-17T12:53:56Z
dc.date.available2022-02-17T12:53:56Z
dc.date.issued2021
dc.description.abstractTower-mounted camera-based wildfire detection systems provide an effective means of early forest fire detection. Historically, tower sites have been identified by foresters and locals with intimate knowledge of the terrain and without the aid of computational optimisation tools. When moving into vast new territories and without the aid of local knowledge, this process becomes cumbersome and daunting. In such instances, the optimisation of final site layouts may be streamlined if a suitable strategy is employed to limit the candidate sites to landforms which offer superior system visibility. A framework for the exploitation of landforms for these purposes is proposed. The landform classifications at 165 existing tower sites from wildfire detection systems in South Africa, Canada and the USA are analysed using the geomorphon technique, and it is noted that towers are located at or near certain landform types.en_US
dc.identifier.citationHeyns, A. M. et al. (2021). Analysis and exploitation of landforms for improved optimisation of camera based wildfire detection systems. Fire Technology, 57(5), 2269–2303. https://doi.org/10.1007/s10694-021-01120-2en_US
dc.identifier.issn1572-8099
dc.identifier.issnhttps://doi.org/10.1007/s10694-021-01120-2
dc.identifier.urihttp://hdl.handle.net/10566/7281
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectFire detectionen_US
dc.subjectMaximal coveren_US
dc.subjectLandformsen_US
dc.subjectFacility locationen_US
dc.subjectWildfireen_US
dc.titleAnalysis and exploitation of landforms for improved optimisation of camera based wildfire detection systemsen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Heyns2021_Article_AnalysisAndExploitationOfLandf.pdf
Size:
4.3 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: