{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T11:20:32Z","timestamp":1768735232241,"version":"3.49.0"},"reference-count":70,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,7,6]],"date-time":"2022-07-06T00:00:00Z","timestamp":1657065600000},"content-version":"am","delay-in-days":278,"URL":"http:\/\/www.elsevier.com\/open-access\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Environmental Modelling & Software"],"published-print":{"date-parts":[[2021,10]]},"DOI":"10.1016\/j.envsoft.2021.105127","type":"journal-article","created":{"date-parts":[[2021,7,6]],"date-time":"2021-07-06T12:07:14Z","timestamp":1625573234000},"page":"105127","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":41,"special_numbering":"C","title":["Derivation of a Bayesian fire spread model using large-scale wildfire observations"],"prefix":"10.1016","volume":"144","author":[{"given":"Michael A.","family":"Storey","sequence":"first","affiliation":[]},{"given":"Michael","family":"Bedward","sequence":"additional","affiliation":[]},{"given":"Owen F.","family":"Price","sequence":"additional","affiliation":[]},{"given":"Ross A.","family":"Bradstock","sequence":"additional","affiliation":[]},{"given":"Jason J.","family":"Sharples","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.envsoft.2021.105127_bib1","series-title":"Australias Revised Arrangements for Bushfire Advice and Alerts - 2009\/2010 Fire Season","author":"Aemc","year":"2009"},{"key":"10.1016\/j.envsoft.2021.105127_bib2","doi-asserted-by":"crossref","first-page":"372","DOI":"10.5558\/tfc2013-067","article-title":"Limitations on the accuracy of model predictions of wildland fire behaviour: a state-of-the-knowledge overview","volume":"89","author":"Alexander","year":"2013","journal-title":"For. Chron."},{"key":"10.1016\/j.envsoft.2021.105127_bib3","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/j.ijdrr.2018.03.005","article-title":"Sending a message: how significant events have influenced the warnings landscape in Australia","volume":"30","author":"Anderson-Berry","year":"2018","journal-title":"Int. J. Disaster Risk Reduc."},{"key":"10.1016\/j.envsoft.2021.105127_bib4","series-title":"Spatial Point Patterns: Methodology and Applications with R","author":"Baddeley","year":"2015"},{"issue":"2","key":"10.1016\/j.envsoft.2021.105127_bib5","doi-asserted-by":"crossref","first-page":"151","DOI":"10.2151\/jmsj.2016-009","article-title":"An introduction to Himawari-8\/9\u2014Japan\u2019s new-generation geostationary meteorological satellites","volume":"94","author":"Bessho","year":"2016","journal-title":"J. Meteor. Soc. Japan. Ser. II"},{"issue":"3","key":"10.1016\/j.envsoft.2021.105127_bib6","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1038\/s41558-020-0716-1","article-title":"Unprecedented burn area of Australian mega forest fires","volume":"10","author":"Boer","year":"2020","journal-title":"Nat. Clim. Change"},{"key":"10.1016\/j.envsoft.2021.105127_bib7","series-title":"Atmospheric High-Resolution Regional Reanalysis for Australia","author":"BOM","year":"2020"},{"key":"10.1016\/j.envsoft.2021.105127_bib8","series-title":"Experimental Development of a Fire Management Model for Jarrah","author":"Burrows","year":"1994"},{"key":"10.1016\/j.envsoft.2021.105127_bib67","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/S0140-1963(18)30708-0","article-title":"Fire behaviour in spinifex fuels on the Gibson Desert Nature Reserve, Western Australia","volume":"20","author":"Burrows","year":"1991","journal-title":"J. Arid Environ."},{"key":"10.1016\/j.envsoft.2021.105127_bib9","series-title":"Conference on Natural Disaster Reduction 1996: Conference Proceedings","first-page":"165","article-title":"Development of fire behaviour models for high-intensity forest fires","author":"Cheney","year":"1996"},{"key":"10.1016\/j.envsoft.2021.105127_bib10","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1016\/j.foreco.2012.06.012","article-title":"Predicting fire behaviour in dry eucalypt forest in southern Australia","volume":"280","author":"Cheney","year":"2012","journal-title":"For. Ecol. Manag."},{"key":"10.1016\/j.envsoft.2021.105127_bib11","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1016\/j.jenvman.2014.11.009","article-title":"Adding fuel to the fire? Revegetation influences wildfire size and intensity","volume":"150","author":"Collins","year":"2015","journal-title":"J. Environ. Manag."},{"key":"10.1016\/j.envsoft.2021.105127_bib12","series-title":"Innovations in Remote Sensing and Photogrammetry","first-page":"239","article-title":"Airborne fire intelligence","author":"Cook","year":"2009"},{"issue":"4","key":"10.1016\/j.envsoft.2021.105127_bib13","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1071\/WF08195","article-title":"Monte Carlo-based ensemble method for prediction of grassland fire spread","volume":"19","author":"Cruz","year":"2010","journal-title":"Int. J. Wildland Fire"},{"key":"10.1016\/j.envsoft.2021.105127_bib14","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.envsoft.2013.04.004","article-title":"Uncertainty associated with model predictions of surface and crown fire rates of spread","volume":"47","author":"Cruz","year":"2013","journal-title":"Environ. Model. Software"},{"issue":"2","key":"10.1016\/j.envsoft.2021.105127_bib15","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1007\/s13595-019-0829-8","article-title":"The 10% wind speed rule of thumb for estimating a wildfire's forward rate of spread in forests and shrublands","volume":"76","author":"Cruz","year":"2019","journal-title":"Ann. For. Sci."},{"key":"10.1016\/j.envsoft.2021.105127_bib16","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.envsoft.2018.03.027","article-title":"Assessing improvements in models used to operationally predict wildland fire rate of spread","volume":"105","author":"Cruz","year":"2018","journal-title":"Environ. Model. Software"},{"issue":"3","key":"10.1016\/j.envsoft.2021.105127_bib17","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1080\/00049158.2015.1055063","article-title":"Empirical-based models for predicting head-fire rate of spread in Australian fuel types","volume":"78","author":"Cruz","year":"2015","journal-title":"Aust. For."},{"key":"10.1016\/j.envsoft.2021.105127_bib18","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1016\/j.foreco.2012.02.035","article-title":"Anatomy of a catastrophic wildfire: the black saturday kilmore east fire in victoria, Australia","volume":"284","author":"Cruz","year":"2012","journal-title":"For. Ecol. Manag."},{"key":"10.1016\/j.envsoft.2021.105127_bib19","series-title":"Victorian Government Department of Environment, Land, Water and Planning: Melbourne, P","article-title":"Strategic bushfire management plan: east Central","author":"DELWP","year":"2015"},{"issue":"9","key":"10.1016\/j.envsoft.2021.105127_bib20","first-page":"25","article-title":"Runjags: an R package providing interface utilities, model templates, parallel computing methods and additional distributions for MCMC models in","volume":"71","author":"Denwood","year":"2016","journal-title":"JAGS"},{"key":"10.1016\/j.envsoft.2021.105127_bib21","series-title":"National Vegetation Information System Data Products Page","author":"Department of Agriculture","year":"2018"},{"issue":"9","key":"10.1016\/j.envsoft.2021.105127_bib22","doi-asserted-by":"crossref","first-page":"351","DOI":"10.3390\/f8090351","article-title":"Revisiting wildland fire fuel quantification methods: the challenge of understanding a dynamic, biotic entity","volume":"8","author":"Duff","year":"2017","journal-title":"Forests"},{"issue":"1","key":"10.1016\/j.envsoft.2021.105127_bib23","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3390\/fire3010001","article-title":"Frequency of dynamic fire behaviours in australian forest environments","volume":"3","author":"Filkov","year":"2020","journal-title":"Fire"},{"issue":"3","key":"10.1016\/j.envsoft.2021.105127_bib24","first-page":"183","article-title":"National gridded drought factors and comparison of two soil moisture deficit formulations used in prediction of Forest Fire Danger Index in Australia","volume":"55","author":"Finkele","year":"2006","journal-title":"Aust. Meteorol. Mag."},{"issue":"2","key":"10.1016\/j.envsoft.2021.105127_bib25","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1007\/s10666-010-9241-3","article-title":"A method for ensemble wildland fire simulation","volume":"16","author":"Finney","year":"2011","journal-title":"Environ. Model. Assess."},{"issue":"2","key":"10.1016\/j.envsoft.2021.105127_bib26","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1080\/00049158.2005.10674951","article-title":"Flammability of Australian forests","volume":"68","author":"Gill","year":"2005","journal-title":"Aust. For."},{"issue":"3","key":"10.1016\/j.envsoft.2021.105127_bib27","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1080\/01431161.2016.1266112","article-title":"A method for mapping Australian woody vegetation cover by linking continental-scale field data and long-term Landsat time series","volume":"38","author":"Gill","year":"2017","journal-title":"Int. J. Rem. Sens."},{"key":"10.1016\/j.envsoft.2021.105127_bib28","series-title":"Project Vesta - Fire in Dry Eucalypt Forest: Fuel Structure, Fuel Dynamics and Fire Behaviour","author":"Gould","year":"2007"},{"key":"10.1016\/j.envsoft.2021.105127_bib29","series-title":"Project Vesta: Fire in Dry Eucalypt Forest: Fuel Structure, Fuel Dynamics and Fire Behaviour","author":"Gould","year":"2008"},{"issue":"3","key":"10.1016\/j.envsoft.2021.105127_bib30","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v040.i03","article-title":"Dates and times made easy with lubridate","volume":"40","author":"Grolemund","year":"2011","journal-title":"J. Stat. Software"},{"key":"10.1016\/j.envsoft.2021.105127_bib31","series-title":"Geographic Data Analysis and Modeling [R Package Raster Version 3.1-5]","author":"Hijmans","year":"2020"},{"key":"10.1016\/j.envsoft.2021.105127_bib32","series-title":"Overall Fuel Hazard Assessment Guide: Report No. 82, Fire and Adaptive Management","author":"Hines","year":"2010"},{"issue":"9","key":"10.1016\/j.envsoft.2021.105127_bib68","doi-asserted-by":"crossref","DOI":"10.3390\/f11090925","article-title":"Modelling bushfire fuel hazard using biophysical parameters","volume":"11","author":"Jenkins","year":"2020","journal-title":"Forests"},{"key":"10.1016\/j.envsoft.2021.105127_bib33","series-title":"Bush Fires in Australia","author":"Luke","year":"1978"},{"key":"10.1016\/j.envsoft.2021.105127_bib34","series-title":"FIRESCAN: A Technique for Airborne Infra-red Mapping of Wild Fires","author":"Matthews","year":"1997"},{"key":"10.1016\/j.envsoft.2021.105127_bib35","series-title":"Fire Behaviour in Eucalypt Forests","author":"McArthur","year":"1967"},{"key":"10.1016\/j.envsoft.2021.105127_bib36","series-title":"Forest Fire Danger Meter Mk V","author":"McArthur","year":"1973"},{"issue":"1","key":"10.1016\/j.envsoft.2021.105127_bib37","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1080\/00049158.2008.10676267","article-title":"Existing fire behaviour models under-predict the rate of spread of summer fires in open jarrah (Eucalyptus marginata) forest","volume":"71","author":"McCaw","year":"2008","journal-title":"Aust. For."},{"issue":"3","key":"10.1016\/j.envsoft.2021.105127_bib38","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1111\/ecog.04714","article-title":"Climatic and edaphic gradients predict variation in wildland fuel hazard in south-eastern Australia","volume":"43","author":"McColl-Gausden","year":"2020","journal-title":"Ecography"},{"key":"10.1016\/j.envsoft.2021.105127_bib39","series-title":"Atmospheric Stability Environments and Fire Weather in Australia: Extending the Haines Index","author":"Mills","year":"2010"},{"key":"10.1016\/j.envsoft.2021.105127_bib40","series-title":"NASA Worldview Application","author":"NASA","year":"2020"},{"issue":"2","key":"10.1016\/j.envsoft.2021.105127_bib41","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1111\/j.1442-9993.1980.tb01243.x","article-title":"McArthur's fire-danger meters expressed as equations","volume":"5","author":"Noble","year":"1980","journal-title":"Aust. J. Ecol."},{"issue":"7","key":"10.1016\/j.envsoft.2021.105127_bib42","doi-asserted-by":"crossref","first-page":"779","DOI":"10.3390\/f11070779","article-title":"Linking forest flammability and plant vulnerability to drought","volume":"11","author":"Nolan","year":"2020","journal-title":"Forests"},{"issue":"3","key":"10.1016\/j.envsoft.2021.105127_bib43","doi-asserted-by":"crossref","first-page":"1039","DOI":"10.1111\/gcb.14987","article-title":"Causes and consequences of eastern Australia's 2019\u201320 season of mega-fires","volume":"26","author":"Nolan","year":"2020","journal-title":"Global Change Biol."},{"issue":"9","key":"10.1016\/j.envsoft.2021.105127_bib44","doi-asserted-by":"crossref","first-page":"4229","DOI":"10.1002\/2016GL068614","article-title":"Large-scale, dynamic transformations in fuel moisture drive wildfire activity across southeastern Australia","volume":"43","author":"Nolan","year":"2016","journal-title":"Geophys. Res. Lett."},{"issue":"1","key":"10.1016\/j.envsoft.2021.105127_bib45","doi-asserted-by":"crossref","first-page":"439","DOI":"10.32614\/RJ-2018-009","article-title":"Simple features for R: standardized support for spatial vector data","volume":"10","author":"Pebesma","year":"2018","journal-title":"The R Journal"},{"key":"10.1016\/j.envsoft.2021.105127_bib46","series-title":"JAGS Version 4.3.0 User Manual","author":"Plummer","year":"2017"},{"issue":"5","key":"10.1016\/j.envsoft.2021.105127_bib47","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1071\/WF18130","article-title":"Using a statistical model of past wildfire spread to quantify and map the likelihood of fire reaching assets and prioritise fuel treatments","volume":"29","author":"Price","year":"2020","journal-title":"Int. J. Wildland Fire"},{"key":"10.1016\/j.envsoft.2021.105127_bib48","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1016\/j.jenvman.2016.08.042","article-title":"The potential for LiDAR technology to map fire fuel hazard over large areas of Australian forest","volume":"181","author":"Price","year":"2016","journal-title":"J. Environ. Manag."},{"key":"10.1016\/j.envsoft.2021.105127_bib49","series-title":"R: A Language and Environment for Statistical Computing","author":"R-Core-Team","year":"2020"},{"issue":"3","key":"10.1016\/j.envsoft.2021.105127_bib50","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1080\/00049158.1983.10674395","article-title":"The 1982\u201383 forest fires in Victoria","volume":"46","author":"Rawson","year":"1983","journal-title":"Aust. For."},{"key":"10.1016\/j.envsoft.2021.105127_bib69","article-title":"A mathematical model for predicting fire spread in wildland fuels","volume":"115","author":"Rothermel","year":"1972","journal-title":"USDA Forest Serv. Res. Pap."},{"issue":"7","key":"10.1016\/j.envsoft.2021.105127_bib51","doi-asserted-by":"crossref","first-page":"737","DOI":"10.1071\/WF08041","article-title":"An overview of mountain meteorological effects relevant to fire behaviour and bushfire risk","volume":"18","author":"Sharples","year":"2009","journal-title":"Int. J. Wildland Fire"},{"issue":"1","key":"10.1016\/j.envsoft.2021.105127_bib52","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1007\/s10584-016-1811-1","article-title":"Natural hazards in Australia: extreme bushfire","volume":"139","author":"Sharples","year":"2016","journal-title":"Climatic Change"},{"issue":"G4","key":"10.1016\/j.envsoft.2021.105127_bib53","article-title":"Mapping forest canopy height globally with spaceborne lidar","volume":"116","author":"Simard","year":"2011","journal-title":"J. Geophys. Res.: Biogeosciences"},{"issue":"10","key":"10.1016\/j.envsoft.2021.105127_bib54","doi-asserted-by":"crossref","first-page":"884","DOI":"10.3390\/f10100884","article-title":"A temporal framework of large wildfire suppression in practice, a qualitative descriptive study","volume":"10","author":"Simpson","year":"2019","journal-title":"Forests"},{"key":"10.1016\/j.envsoft.2021.105127_bib70","series-title":"Forest fire behaviour tables for Western Australia","volume":"1","author":"Sneeuwjagt","year":"1985"},{"issue":"7","key":"10.1016\/j.envsoft.2021.105127_bib55","doi-asserted-by":"crossref","first-page":"279","DOI":"10.3390\/atmos9070279","article-title":"The hot-dry-windy index: a new fire weather index","volume":"9","author":"Srock","year":"2018","journal-title":"Atmosphere"},{"issue":"2","key":"10.1016\/j.envsoft.2021.105127_bib56","doi-asserted-by":"crossref","DOI":"10.3390\/fire3020010","article-title":"Analysis of variation in distance, number, and distribution of spotting in southeast Australian wildfires","volume":"3","author":"Storey","year":"2020","journal-title":"Fire"},{"issue":"6","key":"10.1016\/j.envsoft.2021.105127_bib57","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1071\/WF19124","article-title":"Drivers of long-distance spotting during wildfires in south-eastern Australia","volume":"29","author":"Storey","year":"2020","journal-title":"Int. J. Wildland Fire"},{"issue":"5","key":"10.1016\/j.envsoft.2021.105127_bib58","doi-asserted-by":"crossref","first-page":"2049","DOI":"10.5194\/gmd-12-2049-2019","article-title":"BARRA v1.0: the Bureau of Meteorology atmospheric high-resolution regional reanalysis for Australia","volume":"12","author":"Su","year":"2019","journal-title":"Geosci. Model Dev. (GMD)"},{"issue":"4","key":"10.1016\/j.envsoft.2021.105127_bib59","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1071\/WF06142","article-title":"Wildland surface fire spread modelling, 1990-2007. 2: empirical and quasi-empirical models","volume":"18","author":"Sullivan","year":"2009","journal-title":"Int. J. Wildland Fire"},{"issue":"3","key":"10.1016\/j.envsoft.2021.105127_bib60","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1139\/x00-176","article-title":"Estimating error in wind speed measurements for experimental fires","volume":"31","author":"Sullivan","year":"2001","journal-title":"Can. J. For. Res."},{"issue":"4","key":"10.1016\/j.envsoft.2021.105127_bib61","first-page":"47","article-title":"Phoenix: development and application of a bushfire risk management tool","volume":"23","author":"Tolhurst","year":"2008","journal-title":"Aust. J. Emerg. Manag."},{"issue":"5","key":"10.1016\/j.envsoft.2021.105127_bib62","doi-asserted-by":"crossref","first-page":"1413","DOI":"10.1007\/s11222-016-9696-4","article-title":"Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC","volume":"27","author":"Vehtari","year":"2017","journal-title":"Stat. Comput."},{"issue":"Dec","key":"10.1016\/j.envsoft.2021.105127_bib63","first-page":"3571","article-title":"Asymptotic equivalence of Bayes cross validation and widely applicable information criterion in singular learning theory","volume":"11","author":"Watanabe","year":"2010","journal-title":"J. Mach. Learn. Res."},{"key":"10.1016\/j.envsoft.2021.105127_bib64","series-title":"Dplyr: A Grammar of Data Manipulation. R Package Version 0.8.5 3","author":"Wickham","year":"2020"},{"key":"10.1016\/j.envsoft.2021.105127_bib65","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1016\/j.rse.2018.04.053","article-title":"A fuel moisture content and flammability monitoring methodology for continental Australia based on optical remote sensing","volume":"212","author":"Yebra","year":"2018","journal-title":"Rem. Sens. Environ."},{"issue":"8","key":"10.1016\/j.envsoft.2021.105127_bib66","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0160715","article-title":"Biophysical mechanistic modelling quantifies the effects of plant traits on fire severity: species, not surface fuel loads, determine flame dimensions in eucalypt forests","volume":"11","author":"Zylstra","year":"2016","journal-title":"PloS One"}],"container-title":["Environmental Modelling & Software"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1364815221001705?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1364815221001705?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T23:06:28Z","timestamp":1761260788000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1364815221001705"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10]]},"references-count":70,"alternative-id":["S1364815221001705"],"URL":"https:\/\/doi.org\/10.1016\/j.envsoft.2021.105127","relation":{},"ISSN":["1364-8152"],"issn-type":[{"value":"1364-8152","type":"print"}],"subject":[],"published":{"date-parts":[[2021,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Derivation of a Bayesian fire spread model using large-scale wildfire observations","name":"articletitle","label":"Article Title"},{"value":"Environmental Modelling & Software","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.envsoft.2021.105127","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2021 Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"105127"}}