{"id":"https://openalex.org/W4295700928","doi":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882730","title":"Multi-grained wildfire damage estimation from satellite vegetative scenario by fuzzy decision tree","display_name":"Multi-grained wildfire damage estimation from satellite vegetative scenario by fuzzy decision tree","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4295700928","doi":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882730"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee55066.2022.9882730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882730","pdf_url":null,"source":{"id":"https://openalex.org/S4363608205","display_name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5058737589","display_name":"Danilo Cavaliere","orcid":"https://orcid.org/0000-0003-2859-0447"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Danilo Cavaliere","raw_affiliation_strings":["University of Salerno,Department of Pharmacy (DIFARMA),Fisciano,Sa,Italy","Department of Pharmacy (DIFARMA), University of Salerno, Fisciano, Sa, Italy"],"affiliations":[{"raw_affiliation_string":"University of Salerno,Department of Pharmacy (DIFARMA),Fisciano,Sa,Italy","institution_ids":["https://openalex.org/I131729948"]},{"raw_affiliation_string":"Department of Pharmacy (DIFARMA), University of Salerno, Fisciano, Sa, Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088651272","display_name":"Sabrina Senatore","orcid":"https://orcid.org/0000-0002-7127-4290"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sabrina Senatore","raw_affiliation_strings":["University of Salerno,Department of Pharmacy (DIFARMA),Fisciano,Sa,Italy","Department of Pharmacy (DIFARMA), University of Salerno, Fisciano, Sa, Italy"],"affiliations":[{"raw_affiliation_string":"University of Salerno,Department of Pharmacy (DIFARMA),Fisciano,Sa,Italy","institution_ids":["https://openalex.org/I131729948"]},{"raw_affiliation_string":"Department of Pharmacy (DIFARMA), University of Salerno, Fisciano, Sa, Italy","institution_ids":["https://openalex.org/I131729948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058737589"],"corresponding_institution_ids":["https://openalex.org/I131729948"],"apc_list":null,"apc_paid":null,"fwci":0.464,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53405474,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"25","issue":null,"first_page":"1","last_page":"8"},"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":0.9966999888420105,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9951000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/damages","display_name":"Damages","score":0.6967526078224182},{"id":"https://openalex.org/keywords/ecoregion","display_name":"Ecoregion","score":0.6145340800285339},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.580826461315155},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.538897693157196},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5290968418121338},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5171070098876953},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5031680464744568},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.47425949573516846},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.455992192029953},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.423686683177948},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4210277497768402},{"id":"https://openalex.org/keywords/environmental-resource-management","display_name":"Environmental resource management","score":0.411430686712265},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.31037771701812744},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2918623685836792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22339457273483276},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11401799321174622},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10546892881393433},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.09826421737670898}],"concepts":[{"id":"https://openalex.org/C2777381055","wikidata":"https://www.wikidata.org/wiki/Q308922","display_name":"Damages","level":2,"score":0.6967526078224182},{"id":"https://openalex.org/C2776191655","wikidata":"https://www.wikidata.org/wiki/Q295469","display_name":"Ecoregion","level":2,"score":0.6145340800285339},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.580826461315155},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.538897693157196},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5290968418121338},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5171070098876953},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5031680464744568},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.47425949573516846},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.455992192029953},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.423686683177948},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4210277497768402},{"id":"https://openalex.org/C107826830","wikidata":"https://www.wikidata.org/wiki/Q929380","display_name":"Environmental resource management","level":1,"score":0.411430686712265},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.31037771701812744},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2918623685836792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22339457273483276},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11401799321174622},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10546892881393433},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.09826421737670898},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee55066.2022.9882730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882730","pdf_url":null,"source":{"id":"https://openalex.org/S4363608205","display_name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2027973723","https://openalex.org/W2051874926","https://openalex.org/W2110306174","https://openalex.org/W2185381323","https://openalex.org/W2886575119","https://openalex.org/W2905880828","https://openalex.org/W2975855924","https://openalex.org/W3001555788","https://openalex.org/W3037343745","https://openalex.org/W3082285336","https://openalex.org/W3092365004","https://openalex.org/W3119180266","https://openalex.org/W4200231863","https://openalex.org/W6686809062"],"related_works":["https://openalex.org/W849327309","https://openalex.org/W2157135907","https://openalex.org/W3087837298","https://openalex.org/W1978193949","https://openalex.org/W2400855259","https://openalex.org/W37290118","https://openalex.org/W83404948","https://openalex.org/W2910429312","https://openalex.org/W2535053818","https://openalex.org/W2006345965"],"abstract_inverted_index":{"Among":[0],"climate":[1],"effects,":[2],"fires":[3],"are":[4,138],"reported":[5],"to":[6,35,58,63,98,131,146,185],"be":[7,48,169],"the":[8,29,65,70,100,105,125,148,161,181],"most":[9,182],"catastrophic":[10],"events":[11],"both":[12],"economically":[13],"and":[14,61,73],"environmentally,":[15],"in":[16,26,104,153],"fact,":[17],"recent":[18],"statistics":[19],"report":[20],"about":[21],"340,000":[22],"hectares":[23],"(ha)":[24],"burnt":[25],"countries":[27],"of":[28,150,174,180],"European":[30],"Community":[31],"during":[32],"2020,":[33],"corresponding":[34],"an":[36],"area":[37,77,126,162],"30%":[38],"larger":[39],"than":[40],"Luxembourg.":[41],"In":[42],"worst":[43],"cases,":[44],"fire-affected":[45],"areas":[46],"will":[47],"permanently":[49],"damaged.":[50],"Then,":[51],"there":[52],"is":[53],"a":[54,85,141,177],"need":[55],"for":[56,187],"solutions":[57],"help":[59,74],"institutions":[60],"researchers":[62],"keep":[64],"environment":[66],"under":[67],"monitoring,":[68],"assess":[69],"damage":[71,149,167],"severity":[72,152],"planning":[75],"burned":[76],"recovery.":[78],"To":[79],"this":[80,82],"purpose,":[81],"paper":[83],"presents":[84],"smart":[86],"monitoring":[87],"framework":[88],"that":[89,158],"bridges":[90],"spectral":[91],"image":[92],"clustering":[93],"with":[94],"soft":[95],"computing":[96],"techniques":[97],"describe":[99],"effective":[101],"fire":[102,151,166],"damages":[103],"monitored":[106],"area.":[107],"The":[108],"approach":[109],"collects":[110],"images":[111],"from":[112,119],"Sentinel-2":[113],"satellite,":[114],"assesses":[115],"Spectral":[116],"Indices":[117],"(SIs)":[118],"them,":[120],"then":[121],"by":[122,140,159],"clustering,":[123],"divides":[124],"into":[127,163],"different":[128,172],"sub-regions":[129,137],"according":[130],"their":[132],"vegetative":[133],"features.":[134],"Then":[135],"these":[136],"parsed":[139],"fuzzy":[142],"decision":[143],"tree,":[144],"able":[145],"interpret":[147],"each":[154],"sub-region.":[155],"Experiences":[156],"show":[157],"dividing":[160],"many":[164],"sub-regions,":[165],"can":[168],"detected":[170],"at":[171],"levels":[173],"granularity,":[175],"providing":[176],"detailed":[178],"map":[179],"damaged":[183],"sub-areas":[184],"plan,":[186],"example,":[188],"ad-hoc":[189],"recovery":[190],"interventions.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}