{"id":"https://openalex.org/W6963374736","doi":"https://doi.org/10.21227/t9gn-y009","title":"A Large-Scale Dataset for Active Fire Detection/Segmentation (Landsat-8)","display_name":"A Large-Scale Dataset for Active Fire Detection/Segmentation (Landsat-8)","publication_year":2020,"publication_date":"2020-06-21","ids":{"openalex":"https://openalex.org/W6963374736","doi":"https://doi.org/10.21227/t9gn-y009"},"language":"en","primary_location":{"id":"doi:10.21227/t9gn-y009","is_oa":true,"landing_page_url":"https://doi.org/10.21227/t9gn-y009","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/t9gn-y009","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Pereira, Gabriel","orcid":null},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Pereira, Gabriel","raw_affiliation_strings":["UTFPR"],"affiliations":[{"raw_affiliation_string":"UTFPR","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fusioka, Andre","orcid":null},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Fusioka, Andre","raw_affiliation_strings":["UTFPR"],"affiliations":[{"raw_affiliation_string":"UTFPR","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Nassu, Bogdan","orcid":null},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Nassu, Bogdan","raw_affiliation_strings":["UTFPR"],"affiliations":[{"raw_affiliation_string":"UTFPR","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"last","author":{"id":null,"display_name":"Minetto, Rodrigo","orcid":null},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Minetto, Rodrigo","raw_affiliation_strings":["UTFPR"],"affiliations":[{"raw_affiliation_string":"UTFPR","institution_ids":["https://openalex.org/I1283613182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1283613182"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/panchromatic-film","display_name":"Panchromatic film","score":0.95169997215271},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.8118000030517578},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6575999855995178},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4311000108718872},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.39079999923706055},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.366100013256073},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.365200012922287}],"concepts":[{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.95169997215271},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8118000030517578},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6575999855995178},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5677000284194946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5300999879837036},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4521999955177307},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4311000108718872},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4075999855995178},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.39079999923706055},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.366100013256073},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.365200012922287},{"id":"https://openalex.org/C87456703","wikidata":"https://www.wikidata.org/wiki/Q247760","display_name":"Radiometry","level":2,"score":0.32749998569488525},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3199999928474426},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3149000108242035},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.30799999833106995},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.251800000667572},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/t9gn-y009","is_oa":true,"landing_page_url":"https://doi.org/10.21227/t9gn-y009","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.21227/t9gn-y009","is_oa":true,"landing_page_url":"https://doi.org/10.21227/t9gn-y009","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"dataset":[1,67],"was":[2],"created":[3],"from":[4,8,130],"all":[5],"Landsat-8":[6,38,84],"images":[7,19,64],"South":[9],"America":[10],"in":[11,65,69,113],"the":[12,76,82,131],"year":[13],"2018.":[14],"More":[15],"than":[16],"31":[17],"thousand":[18],"were":[20,35,128],"processed":[21],"(15":[22],"TB":[23],"of":[24,30,43,49,53,59,104],"data),":[25],"and":[26,56,108,121,126],"approximately":[27],"on":[28],"half":[29],"them":[31],"active":[32],"fire":[33,120],"pixels":[34,98,106],"found.":[36],"The":[37,63,110],"sensor":[39],"has":[40],"30":[41],"meters":[42],"spatial":[44],"resolution":[45,55,61],"(1":[46],"panchromatic":[47,78],"band":[48],"15m),":[50],"16":[51,57],"bits":[52],"radiometric":[54],"days":[58],"temporal":[60],"(revisit).":[62],"our":[66],"are":[68,112],"TIFF":[70],"format":[71,115],"with":[72,94],"10":[73],"bands":[74],"(excluding":[75],"15m":[77],"band).":[79],"We":[80],"cropped":[81],"original":[83],"scenes":[85],"(with":[86],"~7,600":[87],"x":[88,96],"7,600":[89],"pixels)":[90],"into":[91],"image":[92],"patches":[93],"128":[95,97],"by":[99,134],"using":[100],"a":[101],"stride":[102],"overlap":[103],"64":[105],"(vertical":[107],"horizontal).":[109],"masks":[111],"binary":[114],"where":[116],"True":[117],"(1)":[118],"represents":[119,124],"False":[122],"(0)":[123],"background":[125],"they":[127],"generated":[129],"conditions":[132],"set":[133],"Schroeder":[135],"et":[136],"al.":[137],"(2016).":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
