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A simple index for assessing fuel moisture content
Authors:JJ Sharples  RHD McRae  RO Weber  AM Gill
Affiliation:1. BCAM–Basque Center for Applied Mathematics, Alameda de Mazarredo 14, Bilbao E-48009, Basque Country, Spain;2. Ikerbasque–Basque Foundation for Science, Calle de María Díaz de Haro 3, Bilbao E-48013, Basque Country, Spain;1. RSS – Remote Sensing Solutions GmbH, Isarstrasse 3, 82065 Baierbrunn, Germany;2. Instituto Chico Mendes de Conservação da Biodiversidade (ICMBio), Bloco “C”, Complexo Administrativo, Setor Sudoeste, CEP: 70.670-350 Brasilia, DF, Brazil;3. Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, Dag-Hammarskjöld-Weg 1–5, 65760 Eschborn, Germany;4. Universidade de Brasília, CEP 70910-900 Brasília, DF, Brazil;5. Instituto Nacional de Pesquisas Espaciais (INPE), Av. dos Astronautas, 1.758 - Jardim da Granja, CEP: 12227-010 São José dos Campos, SP, Brazil;1. Fenner School of Environment and Society, The Australian National University, Acton, ACT, Australia;2. Bushfire and Natural Hazards Cooperative Research Centre, Melbourne, Australia;3. School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, China;4. Center for Spatial Technologies and Remote Sensing (CSTARS), University of California, 139 Veihmeyer Hall, One Shields Avenue, Davis, CA 95616, USA;5. Instituto de Economía, Geografía y Demografía (IEGD), Centro de Ciencias Humanas y Sociales (CCHS), Consejo Superior de Investigaciones Científicas (CSIC), Albasanz 26-28, 28037 Madrid, Spain;6. National Computational Infrastructure, The Australian National University, Acton, ACT, Australia
Abstract:Assessing fuel moisture content to within a reasonable degree of accuracy is an important part of wildland fire management. In this paper we introduce a fuel moisture index that provides a simple and intuitive method for assessing fuel moisture content. The method can be quickly and easily applied in a field setting to provide a dimensionless measure of fuel moisture content. We compare the index with predictions from several models for fuel moisture content and conclude that it provides an equivalent measure of fuel moisture content for a number of fuel types. We go on to briefly discuss how the index could be used to construct a simple and intuitive fire danger index.
Keywords:
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