{"id":"https://openalex.org/W2993247229","doi":"https://doi.org/10.1109/access.2019.2957837","title":"A Neural Network Model for Wildfire Scale Prediction Using Meteorological Factors","display_name":"A Neural Network Model for Wildfire Scale Prediction Using Meteorological Factors","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2993247229","doi":"https://doi.org/10.1109/access.2019.2957837","mag":"2993247229"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2957837","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2957837","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08924693.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08924693.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101462788","display_name":"Hao Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210132245","display_name":"Research Institute of Forestry","ror":"https://ror.org/02nmvgz47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210132245","https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Liang","raw_affiliation_strings":["Beijing Laboratory of Urban and Rural Ecological Environment, Beijing, China","Key Lab of State Forestry Administration for Forestry Equipment and Automation, Beijing, China","School of Technology, Beijing Forestry University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9540-4627","affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Urban and Rural Ecological Environment, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Key Lab of State Forestry Administration for Forestry Equipment and Automation, Beijing, China","institution_ids":["https://openalex.org/I4210132245"]},{"raw_affiliation_string":"School of Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100437730","display_name":"Meng Zhang","orcid":"https://orcid.org/0000-0002-2673-8391"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210132245","display_name":"Research Institute of Forestry","ror":"https://ror.org/02nmvgz47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210132245","https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Zhang","raw_affiliation_strings":["Beijing Laboratory of Urban and Rural Ecological Environment, Beijing, China","Key Lab of State Forestry Administration for Forestry Equipment and Automation, Beijing, China","School of Technology, Beijing Forestry University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2673-8391","affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Urban and Rural Ecological Environment, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Key Lab of State Forestry Administration for Forestry Equipment and Automation, Beijing, China","institution_ids":["https://openalex.org/I4210132245"]},{"raw_affiliation_string":"School of Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102886812","display_name":"Hailan Wang","orcid":"https://orcid.org/0000-0002-4740-4606"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210132245","display_name":"Research Institute of Forestry","ror":"https://ror.org/02nmvgz47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210132245","https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailan Wang","raw_affiliation_strings":["Beijing Laboratory of Urban and Rural Ecological Environment, Beijing, China","Key Lab of State Forestry Administration for Forestry Equipment and Automation, Beijing, China","School of Technology, Beijing Forestry University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4740-4606","affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Urban and Rural Ecological Environment, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Key Lab of State Forestry Administration for Forestry Equipment and Automation, Beijing, China","institution_ids":["https://openalex.org/I4210132245"]},{"raw_affiliation_string":"School of Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101462788"],"corresponding_institution_ids":["https://openalex.org/I31683504","https://openalex.org/I4210132245"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.7319,"has_fulltext":true,"cited_by_count":121,"citation_normalized_percentile":{"value":0.95385626,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"176746","last_page":"176755"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10555","display_name":"Fire effects on ecosystems","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10555","display_name":"Fire effects on ecosystems","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6461183428764343},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6364865899085999},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.626028835773468},{"id":"https://openalex.org/keywords/atmospheric-model","display_name":"Atmospheric model","score":0.45550772547721863},{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.4196426272392273},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.40250635147094727},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.383350670337677},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3300248682498932},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3150574862957001},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14373812079429626},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09876510500907898},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08749577403068542}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6461183428764343},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6364865899085999},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.626028835773468},{"id":"https://openalex.org/C118365302","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric model","level":2,"score":0.45550772547721863},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.4196426272392273},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.40250635147094727},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.383350670337677},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3300248682498932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3150574862957001},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14373812079429626},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09876510500907898},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08749577403068542}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2957837","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2957837","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08924693.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ba48f53660ad4a7087369c903b4dd719","is_oa":true,"landing_page_url":"https://doaj.org/article/ba48f53660ad4a7087369c903b4dd719","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 176746-176755 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2957837","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2957837","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08924693.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6000000238418579}],"awards":[{"id":"https://openalex.org/G466855210","display_name":null,"funder_award_id":"BLX201717","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8058508001","display_name":null,"funder_award_id":"2017YFD0600901","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320332478","display_name":"U.S. Forest Service","ror":"https://ror.org/03zmjc935"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320338140","display_name":"Canadian Forest Service","ror":"https://ror.org/0430zw506"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2993247229.pdf","grobid_xml":"https://content.openalex.org/works/W2993247229.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1605323303","https://openalex.org/W1815076433","https://openalex.org/W1964647807","https://openalex.org/W1984255068","https://openalex.org/W1985258458","https://openalex.org/W1992185502","https://openalex.org/W1994076818","https://openalex.org/W2010150056","https://openalex.org/W2034069945","https://openalex.org/W2042065696","https://openalex.org/W2042952446","https://openalex.org/W2043847259","https://openalex.org/W2045710218","https://openalex.org/W2055436951","https://openalex.org/W2064675550","https://openalex.org/W2065227035","https://openalex.org/W2077644535","https://openalex.org/W2087318677","https://openalex.org/W2099052794","https://openalex.org/W2115506886","https://openalex.org/W2117172618","https://openalex.org/W2121029939","https://openalex.org/W2132809245","https://openalex.org/W2136848157","https://openalex.org/W2159582621","https://openalex.org/W2160815625","https://openalex.org/W2297421703","https://openalex.org/W2334806815","https://openalex.org/W2389903788","https://openalex.org/W2423094380","https://openalex.org/W2532612331","https://openalex.org/W2623562594","https://openalex.org/W2754051771","https://openalex.org/W2765742909","https://openalex.org/W2792326773","https://openalex.org/W2793888044","https://openalex.org/W2809520059","https://openalex.org/W2883791671","https://openalex.org/W2889563452","https://openalex.org/W2907066318","https://openalex.org/W2919115771","https://openalex.org/W2926796200","https://openalex.org/W6638545294","https://openalex.org/W6711361122"],"related_works":["https://openalex.org/W2789124470","https://openalex.org/W4200592460","https://openalex.org/W2958561312","https://openalex.org/W1480156024","https://openalex.org/W3092347950","https://openalex.org/W65938850","https://openalex.org/W275718980","https://openalex.org/W2361731950","https://openalex.org/W238624893","https://openalex.org/W2618707070"],"abstract_inverted_index":{"A":[0,45],"forest":[1,9,28,40,203],"fire":[2,69],"is":[3,48,195],"a":[4,13,33,80,135,159,164,202],"natural":[5],"disaster":[6],"that":[7,24,193],"destroys":[8],"resources,":[10],"thus":[11],"having":[12],"severe":[14],"impact":[15],"on":[16,19,26,83],"humans":[17],"and":[18,22,57,112,124,140,149,169],"the":[20,27,37,51,54,58,61,88,98,121,125,132,143,153,186,199,206],"animals":[21],"plants":[23],"depend":[25],"environment.":[29],"This":[30],"paper":[31],"presents":[32],"model":[34,67],"for":[35,115],"predicting":[36],"scale":[38,47,86,133,200],"of":[39,42,53,60,120,134,201,208],"wildfires":[41],"Alberta,":[43,116],"Canada.":[44,117],"fire's":[46,55,89,126],"determined":[49],"by":[50,79,105],"combination":[52],"duration":[56,127],"size":[59,119],"area":[62,123],"it":[63,194],"burns.":[64],"Our":[65],"prediction":[66,178],"enables":[68],"rescuers":[70],"to":[71,75,130,176,197],"take":[72],"appropriate":[73],"measures":[74],"minimize":[76],"damage":[77],"caused":[78],"wildfire":[81,111,204],"based":[82],"its":[84,209],"predicted":[85],"in":[87],"early":[90],"stages.":[91],"The":[92,118,190],"modeling":[93],"data":[94,114,144],"were":[95,128,145,174],"collected":[96],"from":[97],"Canada":[99],"National":[100],"Fire":[101],"Database":[102],"(CNFDB)":[103],"published":[104],"Natural":[106],"Resources":[107],"Canada,":[108],"which":[109],"includes":[110],"meteorological":[113,154,212],"burned":[122],"used":[129],"estimate":[131],"wildfire.":[136],"After":[137],"multi-collinearity":[138],"testing":[139,150],"feature":[141],"normalization,":[142],"divided":[146],"into":[147],"training":[148],"sets.":[151],"Taking":[152],"factors":[155],"as":[156],"input":[157],"values,":[158],"backpropagation":[160],"neural":[161,166],"network":[162,167],"(BPNN),":[163],"recurrent":[165],"(RNN),":[168],"long":[170],"short-term":[171],"memory":[172],"(LSTM)":[173],"implemented":[175],"establish":[177],"models.":[179],"Of":[180],"these":[181],"classification":[182],"methods,":[183],"LSTM":[184],"exhibited":[185],"highest":[187],"accuracy,":[188],"90.9%.":[189],"results":[191],"indicate":[192],"feasible":[196],"predict":[198],"at":[205],"beginning":[207],"occurrence":[210],"using":[211],"information.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":31},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":6}],"updated_date":"2026-05-23T08:51:43.019350","created_date":"2025-10-10T00:00:00"}
