{"id":"https://openalex.org/W4385840323","doi":"https://doi.org/10.5194/isprs-archives-xlviii-m-1-2023-455-2023","title":"SEGMENTATION OF LANDSAT-8 IMAGES FOR BURNED AREA DETECTION WITH DEEP LEARNING","display_name":"SEGMENTATION OF LANDSAT-8 IMAGES FOR BURNED AREA DETECTION WITH DEEP LEARNING","publication_year":2023,"publication_date":"2023-08-15","ids":{"openalex":"https://openalex.org/W4385840323","doi":"https://doi.org/10.5194/isprs-archives-xlviii-m-1-2023-455-2023"},"language":"en","primary_location":{"id":"doi:10.5194/isprs-archives-xlviii-m-1-2023-455-2023","doi":"https://doi.org/10.5194/isprs-archives-xlviii-m-1-2023-455-2023","is_oa":true,"landing_page_url":"https://doi.org/10.5194/isprs-archives-xlviii-m-1-2023-455-2023","pdf_url":"https://isprs-archives.copernicus.org/articles/XLVIII-M-1-2023/455/2023/isprs-archives-XLVIII-M-1-2023-455-2023.pdf","source":{"id":"https://openalex.org/S2737215817","display_name":"The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","issn_l":"1682-1750","issn":["1682-1750","1682-1777","2194-9034"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","jufo-1","norway-1","oarl","vabb-shw"],"host_organization":"https://openalex.org/P4310313756","host_organization_name":"Copernicus Publications","host_organization_lineage":["https://openalex.org/P4310313756"],"host_organization_lineage_names":["Copernicus Publications"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://isprs-archives.copernicus.org/articles/XLVIII-M-1-2023/455/2023/isprs-archives-XLVIII-M-1-2023-455-2023.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092642471","display_name":"Dilruba Alkan","orcid":"https://orcid.org/0009-0001-8553-5930","observed_orcids":["https://orcid.org/0009-0001-8553-5930"]},"institutions":[{"id":"https://openalex.org/I4210117254","display_name":"Konya Technical University","ror":"https://ror.org/02s82rs08","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210117254"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"D. Alkan","raw_affiliation_strings":["Konya Technical University, Engineering and Nature Sciences Faculty, Geomatic Engineering, 42250 Sel\u00e7uklu Konya, T\u00fcrkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Konya Technical University, Engineering and Nature Sciences Faculty, Geomatic Engineering, 42250 Sel\u00e7uklu Konya, T\u00fcrkiye","institution_ids":["https://openalex.org/I4210117254"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085906556","display_name":"L\u00fctfiye KARASAKA","orcid":"https://orcid.org/0000-0002-2804-3219","observed_orcids":["https://orcid.org/0000-0002-2804-3219"]},"institutions":[{"id":"https://openalex.org/I4210117254","display_name":"Konya Technical University","ror":"https://ror.org/02s82rs08","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210117254"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"L. Karasaka","raw_affiliation_strings":["Konya Technical University, Engineering and Nature Sciences Faculty, Geomatic Engineering, 42250 Sel\u00e7uklu Konya, T\u00fcrkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Konya Technical University, Engineering and Nature Sciences Faculty, Geomatic Engineering, 42250 Sel\u00e7uklu Konya, T\u00fcrkiye","institution_ids":["https://openalex.org/I4210117254"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210117254"],"apc_list":null,"apc_paid":null,"fwci":0.9158,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71131696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"XLVIII-M-1-2023","issue":null,"first_page":"455","last_page":"461"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.676800012588501,"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":0.676800012588501,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.24539999663829803,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10555","display_name":"Fire effects on ecosystems","score":0.05660000070929527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/burned-area-detection","display_name":"burned area detection","score":0.9940000176429749},{"id":"https://openalex.org/keywords/landsat-8","display_name":"Landsat 8","score":0.7710000276565552},{"id":"https://openalex.org/keywords/u-net","display_name":"U-Net","score":0.9179999828338623},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"image segmentation","score":0.8600000143051147},{"id":"https://openalex.org/keywords/band-combination","display_name":"band combination","score":0.7710000276565552},{"id":"https://openalex.org/keywords/threshold-selection","display_name":"threshold selection","score":0.6790000200271606},{"id":"https://openalex.org/keywords/wildfire-damage","display_name":"wildfire damage","score":0.4869999885559082},{"id":"https://openalex.org/keywords/multispectral-imagery","display_name":"multispectral imagery","score":0.38999998569488525}],"concepts":[{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.7828883528709412},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.6958537697792053},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5937162637710571},{"id":"https://openalex.org/C64413873","wikidata":"https://www.wikidata.org/wiki/Q21005","display_name":"Threshold limit value","level":2,"score":0.5600581169128418},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5595272183418274},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.47023293375968933},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4517017900943756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44384077191352844},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43131983280181885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30468904972076416},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08845603466033936},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08845353126525879},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5194/isprs-archives-xlviii-m-1-2023-455-2023","doi":"https://doi.org/10.5194/isprs-archives-xlviii-m-1-2023-455-2023","is_oa":true,"landing_page_url":"https://doi.org/10.5194/isprs-archives-xlviii-m-1-2023-455-2023","pdf_url":"https://isprs-archives.copernicus.org/articles/XLVIII-M-1-2023/455/2023/isprs-archives-XLVIII-M-1-2023-455-2023.pdf","source":{"id":"https://openalex.org/S2737215817","display_name":"The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","issn_l":"1682-1750","issn":["1682-1750","1682-1777","2194-9034"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","jufo-1","norway-1","oarl","vabb-shw"],"host_organization":"https://openalex.org/P4310313756","host_organization_name":"Copernicus Publications","host_organization_lineage":["https://openalex.org/P4310313756"],"host_organization_lineage_names":["Copernicus Publications"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:71dccb41f4164cd0b4dff197c72718b2","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/71dccb41f4164cd0b4dff197c72718b2","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,"listed_in":[],"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":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-M-1-2023, Pp 455-461 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.5194/isprs-archives-xlviii-m-1-2023-455-2023","doi":"https://doi.org/10.5194/isprs-archives-xlviii-m-1-2023-455-2023","is_oa":true,"landing_page_url":"https://doi.org/10.5194/isprs-archives-xlviii-m-1-2023-455-2023","pdf_url":"https://isprs-archives.copernicus.org/articles/XLVIII-M-1-2023/455/2023/isprs-archives-XLVIII-M-1-2023-455-2023.pdf","source":{"id":"https://openalex.org/S2737215817","display_name":"The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","issn_l":"1682-1750","issn":["1682-1750","1682-1777","2194-9034"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","jufo-1","norway-1","oarl","vabb-shw"],"host_organization":"https://openalex.org/P4310313756","host_organization_name":"Copernicus Publications","host_organization_lineage":["https://openalex.org/P4310313756"],"host_organization_lineage_names":["Copernicus Publications"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385840323.pdf","grobid_xml":"https://content.openalex.org/works/W4385840323.grobid-xml"},"referenced_works_count":4,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W3175322496","https://openalex.org/W4281981755","https://openalex.org/W6944035889"],"related_works":["https://openalex.org/W7219056057","https://openalex.org/W3175322496","https://openalex.org/W2000491358","https://openalex.org/W4405496404","https://openalex.org/W4322742973","https://openalex.org/W2979308685","https://openalex.org/W3000736090","https://openalex.org/W4387801729","https://openalex.org/W4402402030","https://openalex.org/W3045606376"],"abstract_inverted_index":{"Abstract.":[0],"Fires":[1],"damage":[2,10],"nature":[3],"and":[4,30,46,52,66,93,108,138,146,155,163,192,233,242],"living":[5],"beings.":[6],"Detection":[7],"of":[8,75,91,113],"this":[9,16,26,212,227],"is":[11,178,190,199,219,248],"important":[12],"for":[13,59,103,151,169,236],"future.":[14],"In":[15,158],"study,":[17],"it":[18,177,198],"was":[19,37,79,85,121],"aimed":[20],"to":[21],"determine":[22],"burned":[23,153,237],"areas.":[24,157],"For":[25,131,211,226],"purpose,":[27],"Landsat-8":[28],"images":[29],"U-Net":[31],"model":[32,182],"were":[33,55,69,96,101,126,142,149,167],"used.":[34,86,143],"Python":[35],"language":[36],"preferred.":[38],"Band":[39],"combinations":[40],"7,5,4;":[41],"5,3,7;":[42],"5,4,3;":[43],"4,3,2;":[44],"4,3,2,5":[45],"2,3,4,5,6,7":[47],"have":[48],"been":[49],"tried.":[50],"Train":[51],"test":[53,67,119],"processes":[54,68],"carried":[56],"out":[57],"separately":[58],"each":[60,170],"band":[61,196,213],"combination.":[62],"After":[63],"the":[64,104,111,118,129,173,181,187,195,202,209,215,222],"train":[65],"completed,":[70],"a":[71,82],"probability":[72],"result":[73],"consisting":[74,90],"values":[76,95,100,148,166],"between":[77],"0-1":[78],"obtained.":[80,97],"Then,":[81],"threshold":[83,114,188,224,228],"value":[84,115,189],"Thus,":[87,110],"binary":[88],"results":[89,120,125,174,185,207],"0":[92],"1":[94],"Three":[98],"different":[99],"preferred":[102],"threshold:":[105],"0.1,":[106],"0.5":[107,223],"0.9.":[109],"effect":[112],"selection":[116],"on":[117],"examined.":[122],"The":[123],"prediction":[124],"evaluated":[127],"using":[128],"masks.":[130],"this,":[132],"general":[133],"accuracy,":[134],"recall,":[135,230],"precision,":[136,145],"F1-score":[137,147,235],"Jaccard":[139,246],"score":[140,247],"metrics":[141],"Recall,":[144],"calculated":[150,168],"both":[152],"areas":[154,238],"unburned":[156],"addition,":[159],"minimum,":[160],"maximum,":[161],"mean,":[162],"standard":[164],"deviation":[165],"metric.":[171],"When":[172],"are":[175,239],"examined,":[176],"seen":[179,200],"that":[180,201],"gives":[183],"better":[184,206],"when":[186],"0.1":[191],"0.5.":[193],"Among":[194],"combinations,":[197],"7,5,4":[203],"combination":[204],"gave":[205],"than":[208],"others.":[210],"combination,":[214],"highest":[216],"mean":[217,229,231,234],"accuracy":[218],"0.9743":[220],"with":[221],"value.":[225],"precision":[232],"0.7203,":[240],"0.8411":[241],"0.7601,":[243],"respectively.":[244],"And":[245],"0.6328.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2023-08-16T00:00:00"}
