{"id":"https://openalex.org/W4401514963","doi":"https://doi.org/10.3390/rs16162945","title":"Forest Fire Detection Based on Spatial Characteristics of Surface Temperature","display_name":"Forest Fire Detection Based on Spatial Characteristics of Surface Temperature","publication_year":2024,"publication_date":"2024-08-12","ids":{"openalex":"https://openalex.org/W4401514963","doi":"https://doi.org/10.3390/rs16162945"},"language":"en","primary_location":{"id":"doi:10.3390/rs16162945","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16162945","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/rs16162945","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113330857","display_name":"Houzhi Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I119273862","display_name":"Central South University of Forestry and Technology","ror":"https://ror.org/02czw2k81","country_code":"CN","type":"education","lineage":["https://openalex.org/I119273862"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houzhi Yao","raw_affiliation_strings":["College of Forestry, Central South University of Forestry and Technology, Changsha 410004, China"],"affiliations":[{"raw_affiliation_string":"College of Forestry, Central South University of Forestry and Technology, Changsha 410004, China","institution_ids":["https://openalex.org/I119273862","https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102219701","display_name":"Yang Zhi-gao","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I119273862","display_name":"Central South University of Forestry and Technology","ror":"https://ror.org/02czw2k81","country_code":"CN","type":"education","lineage":["https://openalex.org/I119273862"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhigao Yang","raw_affiliation_strings":["College of Forestry, Central South University of Forestry and Technology, Changsha 410004, China"],"affiliations":[{"raw_affiliation_string":"College of Forestry, Central South University of Forestry and Technology, Changsha 410004, China","institution_ids":["https://openalex.org/I119273862","https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101500144","display_name":"Gui Zhang","orcid":"https://orcid.org/0000-0002-9011-6490"},"institutions":[{"id":"https://openalex.org/I119273862","display_name":"Central South University of Forestry and Technology","ror":"https://ror.org/02czw2k81","country_code":"CN","type":"education","lineage":["https://openalex.org/I119273862"]},{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gui Zhang","raw_affiliation_strings":["College of Forestry, Central South University of Forestry and Technology, Changsha 410004, China"],"affiliations":[{"raw_affiliation_string":"College of Forestry, Central South University of Forestry and Technology, Changsha 410004, China","institution_ids":["https://openalex.org/I119273862","https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100952162","display_name":"Feng Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I119273862","display_name":"Central South University of Forestry and Technology","ror":"https://ror.org/02czw2k81","country_code":"CN","type":"education","lineage":["https://openalex.org/I119273862"]},{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Liu","raw_affiliation_strings":["College of Forestry, Central South University of Forestry and Technology, Changsha 410004, China"],"affiliations":[{"raw_affiliation_string":"College of Forestry, Central South University of Forestry and Technology, Changsha 410004, China","institution_ids":["https://openalex.org/I119273862","https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102219701"],"corresponding_institution_ids":["https://openalex.org/I119273862","https://openalex.org/I139660479"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.8968,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72639488,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"16","issue":"16","first_page":"2945","last_page":"2945"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9901000261306763,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6641774773597717},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6338952779769897},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5913333296775818},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.45541122555732727},{"id":"https://openalex.org/keywords/shuttle-radar-topography-mission","display_name":"Shuttle Radar Topography Mission","score":0.4438092112541199},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44146278500556946},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3799823820590973},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19743883609771729},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19550573825836182},{"id":"https://openalex.org/keywords/digital-elevation-model","display_name":"Digital elevation model","score":0.18184718489646912},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14825335144996643}],"concepts":[{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6641774773597717},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6338952779769897},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5913333296775818},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.45541122555732727},{"id":"https://openalex.org/C184149073","wikidata":"https://www.wikidata.org/wiki/Q965136","display_name":"Shuttle Radar Topography Mission","level":3,"score":0.4438092112541199},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44146278500556946},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3799823820590973},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19743883609771729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19550573825836182},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.18184718489646912},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14825335144996643}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16162945","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16162945","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6f4ffbbb9d584bc5af762f1d8c576f12","is_oa":true,"landing_page_url":"https://doaj.org/article/6f4ffbbb9d584bc5af762f1d8c576f12","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 16, p 2945 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16162945","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16162945","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G1402257177","display_name":null,"funder_award_id":"2022JJ31006","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"}],"funders":[{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1497187935","https://openalex.org/W1517778786","https://openalex.org/W1966272358","https://openalex.org/W1987822482","https://openalex.org/W2029411311","https://openalex.org/W2037430763","https://openalex.org/W2048925558","https://openalex.org/W2051238977","https://openalex.org/W2089435208","https://openalex.org/W2092656026","https://openalex.org/W2114183835","https://openalex.org/W2132122393","https://openalex.org/W2143214074","https://openalex.org/W2177330146","https://openalex.org/W2295931476","https://openalex.org/W2374236302","https://openalex.org/W2522203543","https://openalex.org/W2769429881","https://openalex.org/W2799291940","https://openalex.org/W2801586435","https://openalex.org/W2804980301","https://openalex.org/W2870893189","https://openalex.org/W2888432692","https://openalex.org/W2889417349","https://openalex.org/W2897044026","https://openalex.org/W2904461649","https://openalex.org/W2905300275","https://openalex.org/W2913160612","https://openalex.org/W2914267938","https://openalex.org/W2974432251","https://openalex.org/W3034933863","https://openalex.org/W3086160255","https://openalex.org/W3109987391","https://openalex.org/W3131722103","https://openalex.org/W3155993469","https://openalex.org/W3183303001","https://openalex.org/W3186425258","https://openalex.org/W3193422546","https://openalex.org/W4200067014","https://openalex.org/W4210521521","https://openalex.org/W4287839004","https://openalex.org/W4309310009","https://openalex.org/W4316039499","https://openalex.org/W4322504522","https://openalex.org/W4324091182","https://openalex.org/W4367310935","https://openalex.org/W4386251007","https://openalex.org/W4386952047","https://openalex.org/W6662807631"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2080020532","https://openalex.org/W2031788280","https://openalex.org/W2127004658","https://openalex.org/W2090233178","https://openalex.org/W2080223487","https://openalex.org/W4255528761","https://openalex.org/W1898047482","https://openalex.org/W4235781284"],"abstract_inverted_index":{"Amidst":[0],"the":[1,14,51,56,60,75,79,83,93,103,108,125,131,144,150,158,163,166,176,184,192,195,199,204,210,222,253,260,269],"escalating":[2],"threat":[3],"of":[4,19,53,78,86,96,105,194,238,262,271],"global":[5],"warming,":[6],"which":[7],"manifests":[8],"in":[9,98,173,191],"more":[10],"frequent":[11],"forest":[12,20,33,118,186,272],"fires,":[13],"prompt":[15],"and":[16,46,59,170,213,217,221,241],"accurate":[17],"detection":[18,95],"fires":[21,97],"has":[22],"ascended":[23],"to":[24,63,72],"paramount":[25],"importance.":[26],"The":[27,180],"current":[28],"surveillance":[29],"algorithms":[30,69],"employed":[31],"for":[32,74,117],"fire":[34,88,119,159,205,227,264],"monitoring\u2014including,":[35],"but":[36],"not":[37],"limited":[38],"to,":[39],"fixed":[40],"threshold":[41,44],"algorithms,":[42,45],"multi-channel":[43],"contextual":[47,178],"algorithms\u2014rely":[48],"primarily":[49],"upon":[50],"degree":[52],"deviation":[54],"between":[55,165],"pixel":[57],"temperature":[58,62,146],"background":[61,80],"discern":[64],"pyric":[65],"events.":[66],"Notwithstanding,":[67],"these":[68],"typically":[70],"fail":[71],"account":[73],"spatial":[76,113,177],"heterogeneity":[77],"temperature,":[81],"precipitating":[82],"consequential":[84],"oversight":[85],"low-temperature":[87],"point":[89,160,206,228,265],"pixels,":[90,266],"thus":[91],"impeding":[92],"expedited":[94],"their":[99],"initial":[100],"stages.":[101],"For":[102],"amelioration":[104],"this":[106],"deficiency,":[107],"present":[109],"study":[110],"introduces":[111],"a":[112,235,242],"feature-based":[114],"(STF)":[115],"method":[116,201,255],"detection,":[120],"leveraging":[121],"Himawari-8/9":[122,233],"imagery":[123],"as":[124],"main":[126],"data":[127,138],"source,":[128],"complemented":[129],"by":[130,209],"Shuttle":[132],"Radar":[133],"Topography":[134],"Mission":[135],"(SRTM)":[136],"DEM":[137],"inputs.":[139],"Our":[140],"proposed":[141,256],"modality":[142],"reconstructs":[143],"surface":[145,168,196],"information":[147],"via":[148],"selecting":[149],"optimally":[151],"designated":[152],"machine":[153],"learning":[154],"model,":[155],"subsequently":[156],"identifying":[157],"through":[161],"utilizing":[162],"difference":[164],"reconstructed":[167],"temperatures":[169],"empirical":[171],"observations,":[172],"tandem":[174],"with":[175],"algorithm.":[179],"results":[181],"confirm":[182],"that":[183,252],"random":[185],"model":[187],"demonstrates":[188],"superior":[189],"efficacy":[190],"reconstruction":[193],"temperature.":[197],"Benchmarking":[198],"STF":[200,254],"against":[202],"both":[203],"datasets":[207,231],"disseminated":[208],"China":[211],"Forest":[212],"Grassland":[214],"Fire":[215,225],"Prevention":[216],"Suppression":[218],"Network":[219],"(CFGFPN)":[220],"Wild":[223],"Land":[224],"(WLF)":[226],"product":[229],"validation":[230],"from":[232],"yielded":[234],"zero":[236],"rate":[237],"omission":[239],"errors":[240],"comprehensive":[243],"evaluative":[244],"index,":[245],"predominantly":[246],"surpassing":[247],"0.74.":[248],"These":[249],"findings":[250],"show":[251],"herein":[257],"significantly":[258],"augments":[259],"identification":[261],"lower-temperature":[263],"thereby":[267],"amplifying":[268],"sensitivity":[270],"surveillance.":[273]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}