{"id":"https://openalex.org/W3206892059","doi":"https://doi.org/10.1109/igarss47720.2021.9554330","title":"Wildfire Danger Assessment Over Southwest China Based on Short-Term Features of Weather and Fuel Variables","display_name":"Wildfire Danger Assessment Over Southwest China Based on Short-Term Features of Weather and Fuel Variables","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3206892059","doi":"https://doi.org/10.1109/igarss47720.2021.9554330","mag":"3206892059"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9554330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038481252","display_name":"Qian Xie","orcid":"https://orcid.org/0000-0002-7112-4057"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Xie","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065238728","display_name":"Xingwen Quan","orcid":"https://orcid.org/0000-0001-5344-1801"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingwen Quan","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100671875","display_name":"Binbin He","orcid":"https://orcid.org/0000-0002-0668-6520"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binbin He","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2257,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.56171031,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"8648","last_page":"8651"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10555","display_name":"Fire effects on ecosystems","score":1.0,"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":1.0,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9704999923706055,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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":0.9646000266075134,"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/context","display_name":"Context (archaeology)","score":0.533072292804718},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5222721695899963},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4706506133079529},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45450809597969055},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3429718017578125},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.33125221729278564},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.08618777990341187}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.533072292804718},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5222721695899963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4706506133079529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45450809597969055},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3429718017578125},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.33125221729278564},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.08618777990341187},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9554330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.8299999833106995}],"awards":[{"id":"https://openalex.org/G7048682405","display_name":null,"funder_award_id":"U20A2090,41801272","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1505951429","https://openalex.org/W1595138252","https://openalex.org/W1964647807","https://openalex.org/W1989364707","https://openalex.org/W1990409457","https://openalex.org/W2022900594","https://openalex.org/W2056496234","https://openalex.org/W2103219856","https://openalex.org/W2143744444","https://openalex.org/W2148883373","https://openalex.org/W2172494291","https://openalex.org/W2225976211","https://openalex.org/W2295598076","https://openalex.org/W2295931476","https://openalex.org/W2318775263","https://openalex.org/W2339581915","https://openalex.org/W2494719605","https://openalex.org/W2557002900","https://openalex.org/W2604808181","https://openalex.org/W2655351493","https://openalex.org/W2800078340","https://openalex.org/W2907066318"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W42295635","https://openalex.org/W1973996291","https://openalex.org/W2330575325","https://openalex.org/W4388747848","https://openalex.org/W2163803519","https://openalex.org/W2497592525","https://openalex.org/W3096145648","https://openalex.org/W3197510923","https://openalex.org/W2370579019"],"abstract_inverted_index":{"Wildfire":[0],"is":[1,200],"a":[2],"typical":[3],"complex":[4],"nonlinear":[5],"process,":[6],"which":[7,199],"has":[8],"various":[9,46],"interactions":[10],"with":[11],"weather,":[12,129],"fuel,":[13,130],"topography,":[14,128],"and":[15,58,72,131,134,175],"human":[16,132],"variables.":[17,35],"Previous":[18],"studies":[19],"on":[20,26],"wildfire":[21,40,87,98,136,186,210],"danger":[22,88,99,187],"modeling":[23,89,188],"mainly":[24],"focused":[25],"the":[27,37,49,56,63,97,103,124,135,143,155,195,209],"current":[28,50],"climate":[29],"or":[30],"future":[31],"scenarios":[32],"of":[33,39,60,70,83,145,148,194],"these":[34],"However,":[36],"outbreaks":[38],"are":[41],"not":[42],"only":[43],"related":[44,54],"to":[45,55,81,111,122,141,202],"factors":[47,61],"at":[48],"moment":[51],"but":[52],"also":[53],"change":[57],"trend":[59],"before":[62],"outbreak":[64],"time":[65],"point.":[66],"The":[67,113],"short-term":[68],"features":[69],"weather":[71],"fuel":[73],"dynamics":[74],"<tex":[75,149,156,164,171,179,196],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[76,150,157,165,172,180,197],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\text{(weather}\\&amp;\\text{fuel}_{\\text{short-term}_{-}\\text{features}})$</tex>":[77],"were":[78],"therefore":[79],"assumed":[80],"be":[82,190],"great":[84],"importance":[85,214],"in":[86,207],"within":[90],"this":[91,95,127],"context.":[92],"To":[93],"verify":[94],"hypothesis,":[96],"was":[100,120],"modeled":[101],"across":[102],"fire-prone":[104],"area":[105],"over":[106],"southwest":[107],"China":[108],"from":[109],"2001":[110],"2020.":[112],"state-of-the-art":[114],"eXtreme":[115],"Gradient":[116],"Boosting":[117],"(XGBoost)":[118],"model":[119],"applied":[121],"explore":[123],"relations":[125],"between":[126],"variables":[133],"occurrence,":[137],"as":[138,140],"well":[139],"identify":[142],"role":[144,206],"five":[146],"categories":[147],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\text{weather}\\&amp;\\text{fuel}_{\\text{short}-}":[151],"\\text{term}_{-}\\text{features}$</tex>":[152],",":[153,160,167,174],"i.e.,":[154],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$t^{C3},":[158],"t^{Entropy}$</tex>":[159],"Ricker's":[161],"wavelet":[162],"transformation":[163],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$(f^{cwt})$</tex>":[166],"regular":[168],"statistic":[169],"description":[170],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$(t^{RSD})$</tex>":[173],"fast":[176],"Fourier":[177],"transform":[178],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$(t^{FFT})$</tex>":[181],".":[182],"Results":[183],"showed":[184],"that":[185],"can":[189],"improved":[191],"by":[192,212],"consideration":[193],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\text{weather}\\&amp;\\text{fuel}_{\\text{short-term}_{-}\\text{features}}$</tex>":[198],"proved":[201],"play":[203],"an":[204],"important":[205],"driving":[208],"occurrence":[211],"factor":[213],"analysis.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
