{"id":"https://openalex.org/W4392944330","doi":"https://doi.org/10.1109/iceic61013.2024.10457136","title":"Satellite Based Burn Severity Mapping Using Machine Learning Approaches","display_name":"Satellite Based Burn Severity Mapping Using Machine Learning Approaches","publication_year":2024,"publication_date":"2024-01-28","ids":{"openalex":"https://openalex.org/W4392944330","doi":"https://doi.org/10.1109/iceic61013.2024.10457136"},"language":"en","primary_location":{"id":"doi:10.1109/iceic61013.2024.10457136","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic61013.2024.10457136","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Electronics, Information, and Communication (ICEIC)","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/A5091616745","display_name":"Byeongcheol Kim","orcid":"https://orcid.org/0000-0003-1079-7220"},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Byeongcheol Kim","raw_affiliation_strings":["Seoul National University of Science and Technology,Department of Applied Artificial Intelligence,Seoul,Republic of Korea","Department of Applied Artificial Intelligence, Seoul National University of Science and Technology, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University of Science and Technology,Department of Applied Artificial Intelligence,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I118373667"]},{"raw_affiliation_string":"Department of Applied Artificial Intelligence, Seoul National University of Science and Technology, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I118373667"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053915780","display_name":"Seonyoung Park","orcid":"https://orcid.org/0000-0002-1865-1050"},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seonyoung Park","raw_affiliation_strings":["Seoul National University of Science and Technology,Department of Applied Artificial Intelligence,Seoul,Republic of Korea","Department of Applied Artificial Intelligence, Seoul National University of Science and Technology, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University of Science and Technology,Department of Applied Artificial Intelligence,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I118373667"]},{"raw_affiliation_string":"Department of Applied Artificial Intelligence, Seoul National University of Science and Technology, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I118373667"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005355351","display_name":"Kyungil Lee","orcid":"https://orcid.org/0000-0002-9752-1130"},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyungil Lee","raw_affiliation_strings":["Seoul National University of Science and Technology,AI Semiconductor Research Center,Seoul,Republic of Korea","AI Semiconductor Research Center, Seoul National University of Science and Technology, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University of Science and Technology,AI Semiconductor Research Center,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I118373667"]},{"raw_affiliation_string":"AI Semiconductor Research Center, Seoul National University of Science and Technology, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I118373667"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091616745"],"corresponding_institution_ids":["https://openalex.org/I118373667"],"apc_list":null,"apc_paid":null,"fwci":0.3879,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54635698,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9369999766349792,"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"}},"topics":[{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9369999766349792,"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":0.6640924215316772},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.6521734595298767},{"id":"https://openalex.org/keywords/burn-in","display_name":"Burn-in","score":0.5345392227172852},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4168258607387543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40348973870277405},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.14977982640266418},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13882505893707275},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.1317208707332611},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11174702644348145}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6640924215316772},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.6521734595298767},{"id":"https://openalex.org/C179707776","wikidata":"https://www.wikidata.org/wiki/Q662895","display_name":"Burn-in","level":2,"score":0.5345392227172852},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4168258607387543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40348973870277405},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.14977982640266418},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13882505893707275},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.1317208707332611},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11174702644348145}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceic61013.2024.10457136","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic61013.2024.10457136","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W1677287597"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4251918988","https://openalex.org/W2353008372","https://openalex.org/W1986287575","https://openalex.org/W2171912619","https://openalex.org/W2013329914","https://openalex.org/W2392383081","https://openalex.org/W1618102658","https://openalex.org/W4205376403","https://openalex.org/W2331410275"],"abstract_inverted_index":{"This":[0,98],"study,":[1],"the":[2,48,59,82,85,109,115],"burned":[3],"areas":[4],"severity":[5],"were":[6,13,45],"mapped":[7],"using":[8],"eight":[9],"spectral":[10],"indices":[11],"that":[12],"computed":[14],"from":[15,63],"Sentinel":[16],"2":[17],"satellite":[18],"data":[19],"and":[20,27,41,47,106,111,117],"machine":[21],"learning":[22],"approaches,":[23],"Random":[24],"Forest":[25],"(RF)":[26],"Support":[28],"Vector":[29],"Machine":[30],"(SVM).":[31],"Two":[32],"study":[33],"sites":[34],"with":[35,65],"similar":[36,66],"climatic":[37],"conditions":[38],"(dry":[39],"season)":[40],"species":[42],"(coniferous":[43],"vegetation)":[44],"investigated,":[46],"Copernicus":[49],"Emergency":[50],"Management":[51],"Service":[52],"(CEMS)":[53],"dataset":[54,87],"(EMSR448)":[55],"was":[56],"chosen":[57],"as":[58,88],"ground":[60],"truth.":[61],"Pixels":[62],"classes":[64],"features":[67],"could":[68],"be":[69,101],"classified":[70],"more":[71],"accurately":[72],"by":[73,76,123],"RF":[74],"than":[75],"SVM.":[77],"The":[78],"findings":[79],"also":[80],"demonstrated":[81],"transferability":[83],"of":[84,114,119],"CEMS":[86],"an":[89],"acceptable":[90],"for":[91,103,108],"classifying":[92],"fire":[93],"damage":[94,121],"in":[95],"different":[96],"regions.":[97],"approach":[99],"can":[100],"used":[102],"other":[104],"disasters":[105],"allows":[107],"quick":[110],"precise":[112],"mapping":[113],"extent":[116],"intensity":[118],"severe":[120],"caused":[122],"forest":[124],"fires.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}