Introduction to Fire Danger Rating and Remote Sensing — Will Remote Sensing Enhance Wildland Fire Danger Rating?
2003; World Scientific; Linguagem: Inglês
10.1142/9789812791177_0001
ISSN2010-2933
AutoresBritta Allgöwer, J. D. Carlson, Jan W. van Wagtendonk,
Tópico(s)Fire effects on ecosystems
ResumoSeries in Remote SensingWildland Fire Danger Estimation and Mapping, pp. 1-19 (2003) No AccessIntroduction to Fire Danger Rating and Remote Sensing — Will Remote Sensing Enhance Wildland Fire Danger Rating?Britta Allgöwer, J. D. Carlson, and Jan W. van WagtendonkBritta AllgöwerDepartment of Geography, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland, J. D. CarlsonOklahoma State University, 214 Agricultural Hall, Stillwater, OK 74078-6021, USA, and Jan W. van WagtendonkUSGS Western Ecological Research Center, Yosemite Field Station, El Portal, CA 95318-0700, USAhttps://doi.org/10.1142/9789812791177_0001Cited by:3 PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Abstract: While 'Fire Danger' per se cannot be measured, the physical properties of the biotic and abiotic world that relate to fire occurrence and fire behavior can. Today, increasingly sophisticated Remote Sensing methods are being developed to more accurately detect fuel properties such as species composition (fuel types), vegetation structure or plant water content — to name a few. Based on meteorological input data and physical, semi-physical or empirical model calculations, Wildland Fire Danger Rating Systems provide 'indirect values' — numerical indices — at different temporal scales (e.g., daily, weekly, monthly) denoting the physical conditions that may lead to fire ignition and support fire propagation. The results can be expressed as fire danger levels, ranging from 'low' to 'very high', and are commonly used in operational wildland fire management (e.g., the Canadian Fire Weather Index [FWI] System, the Russian Nesterov Index, or the U.S. National Fire Danger Rating System [NFDRS]). Today, fire danger levels are often turned into broad scale maps with the help of Geographical Information Systems (GIS) showing the areas with the different fire danger levels, and are distributed via the World Wide Web. In this chapter we will outline some key issues dealing with Remote Sensing and GIS techniques that are covered in the following chapters, and elaborate how the Fire Danger Rating concepts could be integrated into a framework that enables comprehensive and sustainable wildland fire risk assessment. To do so, we will first raise some general thoughts about wildland fires and suggest how to approach this extremely complex phenomenon. Second, we will outline a possible fire risk analysis framework and third we will give a short overview on existing Fire Danger Rating Systems and the principles behind them. FiguresReferencesRelatedDetailsCited By 3Modelling temporal variation of fire-occurrence towards the dynamic prediction of human wildfire ignition danger in northeast SpainYago Martín, María Zúñiga-Antón and Marcos Rodrigues Mimbrero28 December 2018 | Geomatics, Natural Hazards and Risk, Vol. 10, No. 1Comparison of the fuzzy AHP method, the spatial correlation method, and the Dong model to predict the fire high-risk areas in Hyrcanian forests of IranSaeedeh Eskandari and Jessica R. Miesel7 March 2017 | Geomatics, Natural Hazards and Risk, Vol. 8, No. 2An Exploratory Procedure Defining a Local Topographic Index for Mountainous Vegetation ConditionsYongxin Deng, Xianfeng Chen and Rania Bou Kheir15 May 2013 | GIScience & Remote Sensing, Vol. 44, No. 4 Wildland Fire Danger Estimation and MappingMetrics History PDF download
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