Articles citing this paper
Sensitivity of a surface fire spread model and associated fire behaviour fuel models to changes in live fuel moisture
W. Matt Jolly A
+ Author Affiliations
- Author Affiliations
A USDA Forest Service, RMRS, Fire Sciences Laboratory, Missoula, MT, USA. Email: mjolly@fs.fed.us
International Journal of Wildland Fire 16(4) 503-509 https://doi.org/10.1071/WF06077
Submitted: 16 May 2006 Accepted: 2 February 2007 Published: 20 August 2007
51 articles found in Crossref database.
Estimation Of Fuel Moisture Content by Integrating Surface and Satellite Observations Using Machine Learning
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium (2020)
Fuel types misrepresent forest structure and composition in interior British Columbia: a way forward
Baron Jennifer N.,
Hessburg Paul F.,
Parisien Marc-André,
Greene Gregory A.,
Gergel Sarah. E., Daniels Lori D.
Fire Ecology. 2024 20(1).
Sensitivity of Grass Fires Burning in Marginal Conditions to Atmospheric Turbulence
Jonko Alexandra K.,
Yedinak Kara M.,
Conley Juliana L., Linn Rodman R.
Journal of Geophysical Research: Atmospheres. 2021 126(13).
Fuel Properties of Effective Greenstrips in Simulated Cheatgrass Fires
McGranahan Devan Allen, Wonkka Carissa L.
Environmental Management. 2022 70(2). p.319
Current status and future needs of the BehavePlus Fire Modeling System
Andrews Patricia L.
International Journal of Wildland Fire. 2014 23(1). p.21
Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires (2020)
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
Estimating and Up-Scaling Fuel Moisture and Leaf Dry Matter Content of a Temperate Humid Forest Using Multi Resolution Remote Sensing Data
Adab Hamed,
Devi Kanniah Kasturi, Beringer Jason
Remote Sensing. 2016 8(11). p.961
Evaluating the Performance of Fire Rate of Spread Models in Northern-European Calluna vulgaris Heathlands
Minsavage-Davis Charles D., Davies G. Matt
Fire. 2022 5(2). p.46
Predicting the Wildland Fire Spread Using a Mixed-Input CNN Model with Both Channel and Spatial Attention Mechanisms
Li Xingdong,
Wang Xinyu,
Sun Shufa,
Wang Yangwei,
Li Sanping, Li Dandan
Fire Technology. 2023 59(5). p.2683
Characterizing Live Fuel Moisture Content from Active and Passive Sensors in a Mediterranean Environment
Tanase Mihai A.,
Nova Juan Pedro Gonzalez,
Marino Eva,
Aponte Cristina,
Tomé Jose Luis,
Yáñez Lucia,
Madrigal Javier,
Guijarro Mercedes, Hernando Carmen
Forests. 2022 13(11). p.1846
Grass Canopy Architecture Influences Temperature Exposure at Soil Surface
Gao Xiulin, Schwilk Dylan
Fire. 2018 1(3). p.35
Remote sensing of fuel moisture content from ratios of narrow-band vegetation water and dry-matter indices
Wang Lingli,
Hunt E. Raymond,
Qu John J.,
Hao Xianjun, Daughtry Craig S.T.
Remote Sensing of Environment. 2013 129 p.103
The ignition index based on flammability of vegetation improves planning in the wildland-urban interface: A case study in Southern Spain
Molina Juan Ramón,
Martín Teodoro,
Rodríguez Y Silva Francisco, Herrera Miguel Ángel
Landscape and Urban Planning. 2017 158 p.129
Real time simulation of 2007 Santa Ana fires
Kochanski A.K.,
Jenkins M.A.,
Mandel J.,
Beezley J.D., Krueger S.K.
Forest Ecology and Management. 2013 294 p.136
An examination of fuel moisture, energy release and emissions during laboratory burning of live wildland fuels
May Nathaniel,
Ellicott Evan, Gollner Michael
International Journal of Wildland Fire. 2019 28(3). p.187
A Multivariate Approach for Mapping Fire Ignition Risk: The Example of the National Park of Cilento (Southern Italy)
Guglietta Daniela,
Migliozzi Antonello, Ricotta Carlo
Environmental Management. 2015 56(1). p.157
An Invasive Cool-Season Grass Complicates Prescribed Fire Management in a Native Warm-Season Grassland
Natural Areas Journal. 2012 32(2). p.208
Global fuel moisture content mapping from MODIS
Quan Xingwen,
Yebra Marta,
Riaño David,
He Binbin,
Lai Gengke, Liu Xiangzhuo
International Journal of Applied Earth Observation and Geoinformation. 2021 101 p.102354
Have plants evolved to self-immolate?
Bowman David M. J. S.,
French Ben J., Prior Lynda D.
Frontiers in Plant Science. 2014 5
Assessing the effect of foliar moisture on the spread rate of crown fires
Alexander Martin E., Cruz Miguel G.
International Journal of Wildland Fire. 2013 22(4). p.415
Limitations on the accuracy of model predictions of wildland fire behaviour: A state-of-the-knowledge overview
Alexander Martin E., Cruz Miguel G.
The Forestry Chronicle. 2013 89(03). p.372
Using a prescribed fire to test custom and standard fuel models for fire behaviour prediction in a non‐native, grass‐invaded tropical dry shrubland
Pierce Andrew D.,
McDaniel Sierra,
Wasser Mark,
Ainsworth Alison,
Litton Creighton M.,
Giardina Christian P.,
Cordell Susan, Ohlemuller Ralf
Applied Vegetation Science. 2014 17(4). p.700
Higher potential fire intensity at the dry range margins of European mountain trees
Fréjaville Thibaut,
Curt Thomas, Carcaillet Christopher
Journal of Biogeography. 2018 45(9). p.2003
Integrating plant physiology into simulation of fire behavior and effects
Dickman L. Turin,
Jonko Alexandra K.,
Linn Rodman R.,
Altintas Ilkay,
Atchley Adam L.,
Bär Andreas,
Collins Adam D.,
Dupuy Jean‐Luc,
Gallagher Michael R.,
Hiers J. Kevin,
Hoffman Chad M.,
Hood Sharon M.,
Hurteau Matthew D.,
Jolly W. Matt,
Josephson Alexander,
Loudermilk E. Louise,
Ma Wu,
Michaletz Sean T.,
Nolan Rachael H.,
O'Brien Joseph J.,
Parsons Russell A.,
Partelli‐Feltrin Raquel,
Pimont François,
Resco de Dios Víctor,
Restaino Joseph,
Robbins Zachary J.,
Sartor Karla A.,
Schultz‐Fellenz Emily,
Serbin Shawn P.,
Sevanto Sanna,
Shuman Jacquelyn K.,
Sieg Carolyn H.,
Skowronski Nicholas S.,
Weise David R.,
Wright Molly,
Xu Chonggang,
Yebra Marta, Younes Nicolas
New Phytologist. 2023 238(3). p.952
Examination of the wind speed limit function in the Rothermel surface fire spread model
Andrews Patricia L.,
Cruz Miguel G., Rothermel Richard C.
International Journal of Wildland Fire. 2013 22(7). p.959
Wildland Fuel Fundamentals and Applications (2015)
How well do meteorological drought indices predict live fuel moisture content (LFMC)? An assessment for wildfire research and operations in Mediterranean ecosystems
Ruffault Julien,
Martin-StPaul Nicolas,
Pimont Francois, Dupuy Jean-Luc
Agricultural and Forest Meteorology. 2018 262 p.391
Combining multi-spectral and thermal remote sensing to predict forest fire characteristics
Maffei Carmine,
Lindenbergh Roderik, Menenti Massimo
ISPRS Journal of Photogrammetry and Remote Sensing. 2021 181 p.400
Effects of curing on grassfires: II. Effect of grass senescence on the rate of fire spread
Cruz Miguel G.,
Gould Jim S.,
Kidnie Susan,
Bessell Rachel,
Nichols David, Slijepcevic Alen
International Journal of Wildland Fire. 2015 24(6). p.838
Predicting fire spread and behaviour on the fireline. Wildfire analyst pocket: A mobile app for wildland fire prediction
Monedero Santiago,
Ramirez Joaquin, Cardil Adrián
Ecological Modelling. 2019 392 p.103
Climate change is increasing the likelihood of extreme autumn wildfire conditions across California
Goss Michael,
Swain Daniel L,
Abatzoglou John T,
Sarhadi Ali,
Kolden Crystal A,
Williams A Park, Diffenbaugh Noah S
Environmental Research Letters. 2020 15(9). p.094016
Estimating Fuel Moisture in Grasslands Using UAV-Mounted Infrared and Visible Light Sensors
Barber Nastassia,
Alvarado Ernesto,
Kane Van R.,
Mell William E., Moskal L. Monika
Sensors. 2021 21(19). p.6350
Wildland - urban interface fire behaviour and fire modelling in live fuels
Weise David R., Wotton B. Mike
International Journal of Wildland Fire. 2010 19(2). p.149
Predicting forest floor and woody fuel consumption from prescribed burns in southern and western pine ecosystems of the United States
Prichard S.J.,
Kennedy M.C.,
Wright C.S.,
Cronan J.B., Ottmar R.D.
Forest Ecology and Management. 2017 405 p.328
A native C3 grass alters fuels and fire spread in montane grassland of South Africa
McGranahan Devan Allen,
Archibald Sally,
Kirkman Kevin P., O’Connor Timothy G.
Plant Ecology. 2018 219(6). p.621
Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires (2020)
Modelling aboveground biomass and fuel load components at stand level in shrub communities in NW Spain
Vega José A.,
Arellano-Pérez Stéfano,
Álvarez-González Juan Gabriel,
Fernández Cristina,
Jiménez Enrique,
Fernández-Alonso José María,
Vega-Nieva Daniel J.,
Briones-Herrera Carlos,
Alonso-Rego Cecilia,
Fontúrbel Teresa, Ruiz-González Ana Daría
Forest Ecology and Management. 2022 505 p.119926
Sensitivity of Burned Area and Fire Radiative Power Predictions to Containment Efforts, Fuel Density, and Fuel Moisture Using WRF‐Fire
Turney Francis A.,
Saide Pablo E.,
Jimenez Munoz Pedro A.,
Muñoz‐Esparza Domingo,
Hyer Edward J.,
Peterson David A.,
Frediani Maria E.,
Juliano Timothy W.,
DeCastro Amy L.,
Kosović Branko,
Ye Xinxin, Thapa Laura H.
Journal of Geophysical Research: Atmospheres. 2023 128(18).
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
An Invasive Grass Increases Live Fuel Proportion and Reduces Fire Spread in a Simulated Grassland
McGranahan Devan Allen,
Engle David M.,
Miller James R., Debinski Diane M.
Ecosystems. 2013 16(1). p.158
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
Evaluation of WRF-SFIRE performance with field observations from the FireFlux experiment
Kochanski A. K.,
Jenkins M. A.,
Mandel J.,
Beezley J. D.,
Clements C. B., Krueger S.
Geoscientific Model Development. 2013 6(4). p.1109
Vegetation effects on impulsive events in the acoustic signature of fires
Yedinak Kara M.,
Anderson Michael J.,
Apostol Kent G., Smith Alistair M. S.
The Journal of the Acoustical Society of America. 2017 141(1). p.557
Evaluation of microwave soil moisture data for monitoring live fuel moisture content (LFMC) over the coterminous United States
Lu Yang, Wei Chunzhu
Science of The Total Environment. 2021 771 p.145410
Building Rothermel fire behaviour fuel models by genetic algorithm optimisation
Ascoli Davide,
Vacchiano Giorgio,
Motta Renzo, Bovio Giovanni
International Journal of Wildland Fire. 2015 24(3). p.317
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
Vegetation fuel characterization using machine learning approach over southern Portugal
Santos Filippe L.M.,
Couto Flavio T.,
Dias Susana Saraiva,
Ribeiro Nuno de Almeida, Salgado Rui
Remote Sensing Applications: Society and Environment. 2023 32 p.101017
Assessing fire risk using Monte Carlo simulations of fire spread
Carmel Yohay,
Paz Shlomit,
Jahashan Faris, Shoshany Maxim
Forest Ecology and Management. 2009 257(1). p.370
Landsat 8 and ICESat-2: Performance and potential synergies for quantifying dryland ecosystem vegetation cover and biomass
Glenn Nancy F.,
Neuenschwander Amy,
Vierling Lee A.,
Spaete Lucas,
Li Aihua,
Shinneman Douglas J.,
Pilliod David S.,
Arkle Robert S., McIlroy Susan K.
Remote Sensing of Environment. 2016 185 p.233
Minimize the bad days: Wildland fire response and suppression success
Wollstein Katherine,
O'Connor Casey,
Gear Jacob, Hoagland Rod
Rangelands. 2022 44(3). p.187
