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A Review of Fine Fuel Moisture Modelling
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Nolan Rachael H.,
Resco de Dios Víctor,
Boer Matthias M.,
Caccamo Gabriele,
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Rahmati Mahmood,
Amini Elham,
Howarth Joel E.,
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Dietenberger Mark,
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Terando Adam J.,
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Senent-Aparicio Javier,
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Wei Rui,
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Slijepcevic A.,
Anderson W.R., Matthews S.
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Duff Thomas J.,
Inbar Assaf,
Lane Patrick N. J., Sheridan Gary J.
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Stauhammer Christina L.,
O’Brien Joseph J.,
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Hom John, Starr Gregory
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Harrison S. P., Prentice I. C.
Geoscientific Model Development. 2014 7(5). p.2411
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Aguado I.,
Jurdao S.,
Pettinari M. L.,
Yebra M.,
Salas J.,
Hantson S.,
de la Riva J.,
Ibarra P.,
Rodrigues M.,
Echeverría M.,
Azqueta D.,
Román M. V.,
Bastarrika A.,
Martínez S.,
Recondo C.,
Zapico E., Martínez-Vega F. J.
International Journal of Wildland Fire. 2014 23(5). p.606
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International Journal of Wildland Fire. 2009 18(4). p.430
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Nogueira Joana,
Rambal Serge,
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Processes. 2022 10(1). p.89
Predicting live herbaceous moisture
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Dimitrakopoulos A. P., Bemmerzouk A. M.
International Journal of Biometeorology. 2003 47(2). p.73
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Sharples J.J.,
McRae R.H.D.,
Weber R.O., Gill A.M.
Environmental Modelling & Software. 2009 24(6). p.764
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Talhelm Alan F., Smith Alistair M. S.
Ecosphere. 2018 9(4).
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Kreye Jesse K.,
Hiers J. Kevin,
Varner J. Morgan,
Hornsby Ben,
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Canadian Journal of Forest Research. 2018 48(11). p.1331
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Ziv Yiftach, Heifetz Eyal
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Maffei Carmine,
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Remote Sensing. 2018 10(11). p.1777
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Burton Jamie,
Cawson Jane,
Noske Philip, Sheridan Gary
Forests. 2019 10(5). p.436
Simple models for predicting dead fuel moisture in eucalyptus forests
Matthews Stuart,
Gould Jim, McCaw Lachie
International Journal of Wildland Fire. 2010 19(4). p.459
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Ellsworth Lisa M.,
Litton Creighton M.,
Taylor Andrew D., Kauffman J. Boone
International Journal of Wildland Fire. 2013 22(8). p.1083
Characterising weather patterns associated with fire in a seasonally dry tropical forest in southern India
Mondal Nandita, Sukumar Raman
International Journal of Wildland Fire. 2014 23(2). p.196
Conversion of fuel moisture content values to ignition potential for integrated fire danger assessment
Chuvieco Emilio,
Aguado Inmaculada, Dimitrakopoulos Alexandros P
Canadian Journal of Forest Research. 2004 34(11). p.2284
An easy, accurate and efficient procedure to create forest fire risk maps using the SEXTANTE plugin Modeler
Duarte Lia, Teododo Ana Cláudia
Journal of Forestry Research. 2016 27(6). p.1361
Study on the Diurnal Dynamic Changes and Prediction Models of the Moisture Contents of Two Litters
Zhang Yunlin, Sun Ping
Forests. 2020 11(1). p.95
Estimation of dead fuel moisture content from meteorological data in Mediterranean areas. Applications in fire danger assessment
Aguado I.,
Chuvieco E.,
Borén R., Nieto H.
International Journal of Wildland Fire. 2007 16(4). p.390
Fire Science (2021)
The effect of salvage logging on surface fuel loads and fuel moisture in beetle-infested lodgepole pine forests
Hood Paul R.,
Nelson Kellen N.,
Rhoades Charles C., Tinker Daniel B.
Forest Ecology and Management. 2017 390 p.80
Forest fuel bed ignitability under marginal fire weather conditions in Eucalyptus forests
Cawson Jane G., Duff Thomas J.
International Journal of Wildland Fire. 2019 28(3). p.198
Determining landscape fine fuel moisture content of the Kilmore East ‘Black Saturday’ wildfire using spatially-extended point-based models
Sullivan A.L., Matthews S.
Environmental Modelling & Software. 2013 40 p.98
Modeling fuel moisture dynamics under climate change in Spain’s forests
Balaguer-Romano Rodrigo,
Díaz-Sierra Rubén,
De Cáceres Miquel,
Voltas Jordi,
Boer Matthias M., Resco de Dios Víctor
Fire Ecology. 2023 19(1).
Techniques for evaluating wildfire simulators via the simulation of historical fires using the AUSTRALIS simulator
Kelso Joel K.,
Mellor Drew,
Murphy Mary E., Milne George J.
International Journal of Wildland Fire. 2015 24(6). p.784
Effects of wildland fuel moisture content on radiant heat flux emitted by a laminar non-premixed flame
Pinto P.,
Cabrera A.,
Cruz J.J.,
Contreras J.,
Severino G.,
Demarco R.,
Elicer-Cortés J.C., Fuentes A.
Applied Thermal Engineering. 2020 181 p.115968
Methane gas emissions from savanna fires: what analysis of local burning regimes in a working West African landscape tell us
Laris Paul,
Koné Moussa,
Dembélé Fadiala,
Rodrigue Christine M.,
Yang Lilian,
Jacobs Rebecca, Laris Quincy
Biogeosciences. 2021 18(23). p.6229
Evaluation and comparison of simple empirical models for dead fuel moisture content
Sharples Jason J.,
Reddy P. Jyoteeshkumar,
Resco de Dios Victor,
Nolan Rachael H.,
Boer Matthias M., Bradstock Ross A.
International Journal of Wildland Fire. 2024 33(6).
Relationships between seasonal patterns of live fuel moisture and meteorological drought indices for Mediterranean shrubland species
Pellizzaro G.,
Cesaraccio C.,
Duce P.,
Ventura A., Zara P.
International Journal of Wildland Fire. 2007 16(2). p.232
Predicting the number of daily human-caused bushfires to assist suppression planning in south-west Western Australia
Plucinski M. P.,
McCaw W. L.,
Gould J. S., Wotton B. M.
International Journal of Wildland Fire. 2014 23(4). p.520
Plant-Fire Interactions (2020)
Landscape Fire, Smoke, and Health (2023)
Development of a framework for fire risk assessment using remote sensing and geographic information system technologies
Chuvieco Emilio,
Aguado Inmaculada,
Yebra Marta,
Nieto Héctor,
Salas Javier,
Martín M. Pilar,
Vilar Lara,
Martínez Javier,
Martín Susana,
Ibarra Paloma,
de la Riva Juan,
Baeza Jaime,
Rodríguez Francisco,
Molina Juan R.,
Herrera Miguel A., Zamora Ricardo
Ecological Modelling. 2010 221(1). p.46
Using fuel and weather variables to predict the sustainability of surface fire spread in maritime pine stands
Fernandes Paulo M.,
Botelho Hermínio,
Rego Francisco, Loureiro Carlos
Canadian Journal of Forest Research. 2008 38(2). p.190
Atmospheric interactions with wildland fire behaviour - I. Basic surface interactions, vertical profiles and synoptic structures
Potter Brian E.
International Journal of Wildland Fire. 2012 21(7). p.779
Modelling drying processes of fuelbeds of Scots pine needles with initial moisture content above the fibre saturation point by two-phase models
Jin Sen, Chen Pengyu
International Journal of Wildland Fire. 2012 21(4). p.418
Data assimilation of dead fuel moisture observations from remote automated weather stations
Vejmelka Martin,
Kochanski Adam K., Mandel Jan
International Journal of Wildland Fire. 2016 25(5). p.558
Determinants of fire intensity in working landscapes of an African savanna
Laris Paul,
Jacobs Rebecca,
Koné Moussa,
Dembélé Fadiala, Rodrigue Christine M.
Fire Ecology. 2020 16(1).
Characterising the holdover phase of lightning-ignited wildfires in Catalonia
Pineda Nicolau,
Altube Patricia,
Alcasena Fermín J.,
Casellas Enric,
Segundo Helen San, Montanyà Joan
Agricultural and Forest Meteorology. 2022 324 p.109111
Radiant heating rapidly increases litter flammability through impacts on fuel moisture
Kreye Jesse K.,
Kane Jeffrey M.,
Varner J. Morgan, Hiers J. Kevin
Fire Ecology. 2020 16(1).
De-coupling seasonal changes in water content and dry matter to predict live conifer foliar moisture content
Jolly W. Matt,
Hadlow Ann M., Huguet Kathleen
International Journal of Wildland Fire. 2014 23(4). p.480
Preliminary results of statistical analysis focused on the dependence between forest litter moisture and relative air humidity
Majlingová A., Schallerová D.
Journal of Forest Science. 2016 62(11). p.493
Dead Fuel Moisture Content (DFMC) Estimation Using MODIS and Meteorological Data: The Case of Greece
Dragozi Eleni,
Giannaros Theodore M.,
Kotroni Vasiliki,
Lagouvardos Konstantinos, Koletsis Ioannis
Remote Sensing. 2021 13(21). p.4224
Examining the utility of the Canadian Forest Fire Weather Index System in boreal peatlands
Waddington J.M.,
Thompson D.K.,
Wotton M.,
Quinton W.L.,
Flannigan M.D.,
Benscoter B.W.,
Baisley S.A., Turetsky M.R.
Canadian Journal of Forest Research. 2012 42(1). p.47
A comparison between TLS and UAS LiDAR to represent eucalypt crown fuel characteristics
Hillman Samuel,
Wallace Luke,
Reinke Karin, Jones Simon
ISPRS Journal of Photogrammetry and Remote Sensing. 2021 181 p.295
Correlations between components of the water balance and burned area reveal new insights for predicting forest fire area in the southwest United States
Williams A. Park,
Seager Richard,
Macalady Alison K.,
Berkelhammer Max,
Crimmins Michael A.,
Swetnam Thomas W.,
Trugman Anna T.,
Buenning Nikolaus,
Noone David,
McDowell Nate G.,
Hryniw Natalia,
Mora Claudia I., Rahn Thom
International Journal of Wildland Fire. 2015 24(1). p.14
Measuring foliar moisture content with a moisture analyzer
Rossa Carlos G.,
Fernandes Paulo M., Pinto Anita
Canadian Journal of Forest Research. 2015 45(6). p.776
Heterotrophic respiration in disturbed forests: A review with examples from North America
Harmon Mark E.,
Bond-Lamberty Ben,
Tang Jianwu, Vargas Rodrigo
Journal of Geophysical Research. 2011 116
A comparison of forest fire indices for predicting fire risk in contrasting climates in China
Li Xiaowei,
Zhao Gang,
Yu Xiubo, Yu Qiang
Natural Hazards. 2014 70(2). p.1339
Evaluation of a very simple model for predicting the moisture content of eucalypt litter
Sharples Jason J., McRae Richard H. D.
International Journal of Wildland Fire. 2011 20(8). p.1000
Wildland Fuel Fundamentals and Applications (2015)
Numerical study of the effect of fuel moisture content (FMC) upon the propagation of a surface fire on a flat terrain
Morvan Dominique
Fire Safety Journal. 2013 58 p.121
A comparison of five models in predicting surface dead fine fuel moisture content of typical forests in Northeast China
Fan Jiale,
Hu Tongxin,
Ren Jinsong,
Liu Qi, Sun Long
Frontiers in Forests and Global Change. 2023 6
Ecological Restoration and Management of Longleaf Pine Forests (2017)
The influence of soil moisture on surface and sub-surface litter fuel moisture simulation at five Australian sites
Zhao Li,
Yebra Marta,
van Dijk Albert I.J.M.,
Cary Geoffrey J.,
Matthews Stuart, Sheridan Gary
Agricultural and Forest Meteorology. 2021 298-299 p.108282
VPD-based models of dead fine fuel moisture provide best estimates in a global dataset
Rodrigues Marcos,
Resco de Dios Víctor,
Sil Ângelo,
Cunill Camprubí Àngel, Fernandes Paulo M.
Agricultural and Forest Meteorology. 2024 346 p.109868
Controlled field experiment clarifies the influence of soil moisture on litter moisture content
Zhao Li,
Yebra Marta,
van Dijk Albert I.J.M.,
Cary Geoffrey J., Hughes Dale
Agricultural and Forest Meteorology. 2022 314 p.108782
Forest Fires (2001)
Atmospheric dryness removes barriers to the development of large forest fires
Cawson Jane G.,
Collins Luke,
Parks Sean A.,
Nolan Rachael H., Penman Trent D.
Agricultural and Forest Meteorology. 2024 350 p.109990
Regional estimation of dead fuel moisture content in southwest China based on a practical process-based model
Fan Chunquan,
He Binbin,
Yin Jianpeng, Chen Rui
International Journal of Wildland Fire. 2023 32(7). p.1148
Comprehensive Analytical Sorption Thermodynamic (CAST) model for water vapor sorption in cellulosic materials
Dietenberger Mark A.,
Glass Samuel V., Boardman Charles R.
Adsorption. 2024
A Physics-Guided Deep Learning Model for 10-h Dead Fuel Moisture Content Estimation
Fan Chunquan, He Binbin
Forests. 2021 12(7). p.933
Modifying the Canadian Fine Fuel Moisture Code for masticated surface fuels
Schiks T. J., Wotton B. M.
International Journal of Wildland Fire. 2015 24(1). p.79
Integrated wildfire danger models and factors: A review
Zacharakis Ioannis, Tsihrintzis Vassilios A.
Science of The Total Environment. 2023 899 p.165704
Climate and very large wildland fires in the contiguous western USA
Stavros E. Natasha,
Abatzoglou John,
Larkin Narasimhan K.,
McKenzie Donald, Steel E. Ashley
International Journal of Wildland Fire. 2014 23(7). p.899
Estimation of surface dead fine fuel moisture using automated fuel moisture sticks across a range of forests worldwide
Cawson Jane G.,
Nyman Petter,
Schunk Christian,
Sheridan Gary J.,
Duff Thomas J.,
Gibos Kelsy,
Bovill William D.,
Conedera Marco,
Pezzatti Gianni B., Menzel Annette
International Journal of Wildland Fire. 2020 29(6). p.548
Diurnal surface fuel moisture prediction model for Calabrian pine stands in Turkey
Bilgili E,
Coskuner KA,
Usta Y,
Saglam B,
Kucuk O,
Berber T, Goltas M
iForest - Biogeosciences and Forestry. 2019 12(3). p.262
Exploring the key drivers of forest flammability in wet eucalypt forests using expert-derived conceptual models
Cawson Jane G.,
Hemming Victoria,
Ackland Andrew,
Anderson Wendy,
Bowman David,
Bradstock Ross,
Brown Tegan P.,
Burton Jamie,
Cary Geoffrey J.,
Duff Thomas J.,
Filkov Alexander,
Furlaud James M.,
Gazzard Tim,
Kilinc Musa,
Nyman Petter,
Peacock Ross,
Ryan Mike,
Sharples Jason,
Sheridan Gary,
Tolhurst Kevin,
Wells Tim,
Zylstra Phil, Penman Trent D.
Landscape Ecology. 2020 35(8). p.1775
Landscape Fire, Smoke, and Health (2023)
Soil moisture dominated the temporal dynamics of litter moisture content in subtropical forests: a 7-year observation in south China
Liu Xiaodong,
Feng Yingjie,
Liu Peiling,
Zhang Qianmei,
Njoroge Brian,
Zhou Qing,
Gan Xianhua,
Zhang Weiqiang, Li Yuelin
Journal of Hydrology: Regional Studies. 2022 41 p.101102
Contrasting controls on wildland fires in Southern California during periods with and without Santa Ana winds
Jin Yufang,
Randerson James T.,
Faivre Nicolas,
Capps Scott,
Hall Alex, Goulden Michael L.
Journal of Geophysical Research: Biogeosciences. 2014 119(3). p.432
Continental-scale prediction of live fuel moisture content using soil moisture information
Vinodkumar Vinod,
Dharssi Imtiaz,
Yebra Marta, Fox-Hughes Paul
Agricultural and Forest Meteorology. 2021 307 p.108503
Revisiting Wildland Fire Fuel Quantification Methods: The Challenge of Understanding a Dynamic, Biotic Entity
Duff Thomas,
Keane Robert,
Penman Trent, Tolhurst Kevin
Forests. 2017 8(9). p.351
Representing vapour and capillary rise from the soil improves a leaf litter moisture model
Zhao Li,
Yebra Marta,
van Dijk Albert I.J.M., Cary Geoffrey J.
Journal of Hydrology. 2022 612 p.128087
Tropical Forest Fire Susceptibility Mapping at the Cat Ba National Park Area, Hai Phong City, Vietnam, Using GIS-Based Kernel Logistic Regression
Tien Bui Dieu,
Le Kim-Thoa,
Nguyen Van,
Le Hoang, Revhaug Inge
Remote Sensing. 2016 8(4). p.347
A model for simulating the moisture content of standardized fuel sticks of various sizes
van der Kamp D.W.,
Moore R.D., McKendry I.G.
Agricultural and Forest Meteorology. 2017 236 p.123
Dead fuel moisture research: 1991–2012
Matthews Stuart
International Journal of Wildland Fire. 2014 23(1). p.78
Stand conditions alter seasonal microclimate and dead fuel moisture in a Northwestern California oak woodland
Kane Jeffrey M.
Agricultural and Forest Meteorology. 2021 308-309 p.108602
A simple index for assessing fuel moisture content
Sharples J.J.,
McRae R.H.D.,
Weber R.O., Gill A.M.
Environmental Modelling & Software. 2009 24(5). p.637
Moisture absorption and drying alter nonadditive litter flammability in a mixed conifer forest
de Magalhães Rita Quinones,
Schwilk Dylan W., Cornelissen Hans
Journal of Ecology. 2021 109(1). p.234
A note on fire weather indices
Sharples Jason J.
International Journal of Wildland Fire. 2022 31(7). p.728
An Evaluation of NDFD Weather Forecasts for Wildland Fire Behavior Prediction
Page Wesley G.,
Wagenbrenner Natalie S.,
Butler Bret W.,
Forthofer Jason M., Gibson Chris
Weather and Forecasting. 2018 33(1). p.301
Diurnal variation models for fine fuel moisture content in boreal forests in China
Zhang Ran,
Hu Haiqing,
Qu Zhilin, Hu Tongxin
Journal of Forestry Research. 2021 32(3). p.1177
Combining AVHRR and meteorological data for estimating live fuel moisture content
García Mariano,
Chuvieco Emilio,
Nieto Héctor, Aguado Inmaculado
Remote Sensing of Environment. 2008 112(9). p.3618
Predicting hourly litter moisture content of larch stands in Daxinganling Region, China using three vapour-exchange methods
Sun Ping,
Yu Hongzhou, Jin Sen
International Journal of Wildland Fire. 2015 24(1). p.114
Evaluating models to predict daily fine fuel moisture content in eucalypt forest
Slijepcevic A.,
Anderson W.R.,
Matthews S., Anderson D.H.
Forest Ecology and Management. 2015 335 p.261
A global review of remote sensing of live fuel moisture content for fire danger assessment: Moving towards operational products
Yebra Marta,
Dennison Philip E.,
Chuvieco Emilio,
Riaño David,
Zylstra Philip,
Hunt E. Raymond,
Danson F. Mark,
Qi Yi, Jurdao Sara
Remote Sensing of Environment. 2013 136 p.455
Characterization of Fuel Properties and Fire Spread Rates for Little Bluestem Grass
Overholt K. J.,
Cabrera J.,
Kurzawski A.,
Koopersmith M., Ezekoye O. A.
Fire Technology. 2014 50(1). p.9
Biomass Burning Emissions: A Review of Models Using Remote-Sensing Data
Palacios-Orueta Alicia,
Chuvieco Emilio,
Parra Alexander, Carmona-Moreno C�sar
Environmental Monitoring and Assessment. 2005 104(1-3). p.189
Estimation of fuel moisture content from multitemporal analysis of Landsat Thematic Mapper reflectance data: Applications in fire danger assessment
Chuvieco E.,
Riaño D.,
Aguado I., Cocero D.
International Journal of Remote Sensing. 2002 23(11). p.2145
Construction of empirical models for predicting Pinus sp. dead fine fuel moisture in NW Spain. I: Response to changes in temperature and relative humidity
Ruiz González Ana Daría,
Vega Hidalgo Jose Antonio, Álvarez González Juan Gabriel
International Journal of Wildland Fire. 2009 18(1). p.71
Darker, cooler, wetter: forest understories influence surface fuel moisture
Pickering Bianca J,
Duff Thomas J,
Baillie Craig, Cawson Jane G
Agricultural and Forest Meteorology. 2021 300 p.108311
The Fuel Moisture Index Based on Understorey Hygrochron iButton Humidity and Temperature Measurements Reliably Predicts Fine Fuel Moisture Content in Tasmanian Eucalyptus Forests
Bowman David M. J. S.,
Furlaud James M.,
Porter Meagan, Williamson Grant J.
Fire. 2022 5(5). p.130
Monitoring litter interception of rainfall using leaf wetness sensor under controlled and field conditions
Acharya Bharat Sharma,
Stebler Elaine, Zou Chris B.
Hydrological Processes. 2017 31(1). p.240
Fine fuel moisture for site- and species-specific fire danger assessment in comparison to fire danger indices
Schunk Christian,
Wastl Clemens,
Leuchner Michael, Menzel Annette
Agricultural and Forest Meteorology. 2017 234-235 p.31
Effects of interaction between forest structure and precipitation event characteristics on fuel moisture conditions
Diószegi Gergő,
Immitzer Markus,
Müller Mortimer M., Vacik Harald
Agricultural and Forest Meteorology. 2023 342 p.109681
Development and application of a system for dynamic wildfire risk assessment in Italy
Fiorucci Paolo,
Gaetani Francesco, Minciardi Riccardo
Environmental Modelling & Software. 2008 23(6). p.690
Biomarker evidence for wildfire activity in surface soils from Mt. Yulong on the southeastern Tibetan Plateau: Sources and controls
Li Yangzhuang,
Bai Yan,
Chen Chihao,
Chen Qinghu,
Fang Xiaomin,
Liu Xiaoming, Liu Zhijun
Chemical Geology. 2024 652 p.122022
Forest fire fuel through the lens of remote sensing: Review of approaches, challenges and future directions in the remote sensing of biotic determinants of fire behaviour
Gale Matthew G.,
Cary Geoffrey J.,
Van Dijk Albert I.J.M., Yebra Marta
Remote Sensing of Environment. 2021 255 p.112282
Assessing ignition probability and moisture of extinction in a Mediterranean grass fuel
Dimitrakopoulos A. P.,
Mitsopoulos I. D., Gatoulas K.
International Journal of Wildland Fire. 2010 19(1). p.29
A semi-mechanistic model for predicting the moisture content of fine litter
Resco de Dios Víctor,
Fellows Aaron W.,
Nolan Rachael H.,
Boer Matthias M.,
Bradstock Ross A.,
Domingo Francisco, Goulden Michael L.
Agricultural and Forest Meteorology. 2015 203 p.64
Modulating influence of drought on the synergy between heatwaves and dead fine fuel moisture content of bushfire fuels in the Southeast Australian region
Jyoteeshkumar reddy P.,
Sharples Jason J.,
Lewis Sophie C., Perkins-Kirkpatrick Sarah E.
Weather and Climate Extremes. 2021 31 p.100300
Drought triggers and sustains overnight fires in North America
Luo Kaiwei,
Wang Xianli,
de Jong Mark, Flannigan Mike
Nature. 2024 627(8003). p.321
A comparison of three models of 1-h time lag fuel moisture in Hawaii
Weise David R.,
Fujioka Francis M., Nelson Ralph M.
Agricultural and Forest Meteorology. 2005 133(1-4). p.28
Pyro-Ecophysiology: Shifting the Paradigm of Live Wildland Fuel Research
Jolly W. Matt, Johnson Daniel M.
Fire. 2018 1(1). p.8
The sensitivity of fuel moisture to forest structure effects on microclimate
Brown Tegan P,
Inbar Assaf,
Duff Thomas J.,
Lane Patrick N.J., Sheridan Gary J.
Agricultural and Forest Meteorology. 2022 316 p.108857
Modeling the drying process of Masson pine needle fuel beds under different packing ratios based on two-phase models in the laboratory
Zhang Yunlin
PeerJ. 2022 10 p.e14484
Drying rates of saturated masticated fuelbeds from Rocky Mountain mixed-conifer stands
Keane Robert E.,
Holsinger Lisa M.,
Smith Helen Y., Sikkink Pamela G.
International Journal of Wildland Fire. 2020 29(1). p.57
Quantifying Forest Litter Fuel Moisture Content with Terrestrial Laser Scanning
Batchelor Jonathan L.,
Rowell Eric,
Prichard Susan,
Nemens Deborah,
Cronan James,
Kennedy Maureen C., Moskal L. Monika
Remote Sensing. 2023 15(6). p.1482
AEGIS: a wildfire prevention and management information system
Kalabokidis Kostas,
Ager Alan,
Finney Mark,
Athanasis Nikos,
Palaiologou Palaiologos, Vasilakos Christos
Natural Hazards and Earth System Sciences. 2016 16(3). p.643
Modeling surface fuels moisture content in Pinus brutia stands
Bilgili Ertugrul,
Coskuner Kadir Alperen,
Usta Yetkin, Goltas Merih
Journal of Forestry Research. 2019 30(2). p.577
Evaluation of the predictive capacity of dead fuel moisture models for Eastern Australia grasslands
Cruz Miguel G.,
Kidnie Susan,
Matthews Stuart,
Hurley Richard J.,
Slijepcevic Alen,
Nichols David, Gould Jim S.
International Journal of Wildland Fire. 2016 25(9). p.995
Assessment of fire danger vulnerability using McArthur’s forest and grass fire danger indices
Khastagir Anirban,
Jayasuriya Niranjali, Bhuyian Muhammed A.
Natural Hazards. 2018 94(3). p.1277
Geographic analysis of the impacts of mountain pine beetle infestation on forest fire ignition
Bourbonnais Mathieu L.,
Nelson Trisalyn A., Wulder Michael A.
Canadian Geographies / Géographies canadiennes. 2014 58(2). p.188
Assimilation of Perimeter Data and Coupling with Fuel Moisture in a Wildland Fire–Atmosphere DDDAS
Mandel Jan,
Beezley Jonathan D.,
Kochanski Adam K.,
Kondratenko Volodymyr Y., Kim Minjeong
Procedia Computer Science. 2012 9 p.1100
The Analysis on Moisture Contents of Forest Fuel Using Weather Factors in Forest Land and Weather Station
Chae Hee Mun
Journal of Korean Society of Hazard Mitigation. 2014 14(5). p.205
Moisture Sorption Models for Fuel Beds of Standing Dead Grass in Alaska
Miller Eric A.
Fire. 2018 2(1). p.2
Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires (2018)
Decoupling between soil moisture and biomass drives seasonal variations in live fuel moisture across co-occurring plant functional types
Brown Tegan P.,
Hoylman Zachary H.,
Conrad Elliott,
Holden Zachary,
Jencso Kelsey, Jolly W Matt
Fire Ecology. 2022 18(1).
Ground-based spectroradiometric estimation of live fine fuel moisture of Mediterranean plants
Piñol Josep,
Filella Iolanda,
Ogaya Romà, Peñuelas Josep
Agricultural and Forest Meteorology. 1998 90(3). p.173
A review of a new generation of wildfire–atmosphere modeling
Bakhshaii A., Johnson E.A.
Canadian Journal of Forest Research. 2019 49(6). p.565
Calibrating the Fine Fuel Moisture Code for grass ignition potential in Sumatra, Indonesia
de Groot William J.,
Wardati , Wang Yonghe
International Journal of Wildland Fire. 2005 14(2). p.161
A biophysical process model of tree mortality in surface fires
Michaletz S. T., Johnson E. A.
Canadian Journal of Forest Research. 2008 38(7). p.2013
Tropical Fire Ecology (2009)
Climatology and Meteorological Evolution of Major Wildfire Events over the Northeast United States
Pollina Joseph B.,
Colle Brian A., Charney Joseph J.
Weather and Forecasting. 2013 28(1). p.175
Modification and Comparison of Methods for Predicting the Moisture Content of Dead Fuel on the Surface of Quercus mongolica and Pinus sylvestris var. mongolica under Rainfall Conditions
Hu Tongxin,
Ma Linggan,
Gao Yuanting,
Fan Jiale, Sun Long
Fire. 2023 6(10). p.379
Fuel moisture in Mountain Ash forests with contrasting fire histories
Cawson Jane G.,
Duff Thomas J.,
Tolhurst Kevin G.,
Baillie Craig C., Penman Trent D.
Forest Ecology and Management. 2017 400 p.568
Hillslope-scale prediction of terrain and forest canopy effects on temperature and near-surface soil moisture deficit
Walsh Sean F.,
Nyman Petter,
Sheridan Gary J.,
Baillie Craig C.,
Tolhurst Kevin G., Duff Thomas J.
International Journal of Wildland Fire. 2017 26(3). p.191
