{"id":"https://openalex.org/W4403535349","doi":"https://doi.org/10.1109/sibgrapi62404.2024.10716332","title":"Sampling Strategies Based on Wisdom of Crowds for Amazon Deforestation Detection","display_name":"Sampling Strategies Based on Wisdom of Crowds for Amazon Deforestation Detection","publication_year":2024,"publication_date":"2024-09-30","ids":{"openalex":"https://openalex.org/W4403535349","doi":"https://doi.org/10.1109/sibgrapi62404.2024.10716332"},"language":"en","primary_location":{"id":"doi:10.1109/sibgrapi62404.2024.10716332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgrapi62404.2024.10716332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 37th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","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/A5004626752","display_name":"Hugo Resende","orcid":"https://orcid.org/0000-0001-9735-905X"},"institutions":[{"id":"https://openalex.org/I88273585","display_name":"Universidade Federal de S\u00e3o Paulo","ror":"https://ror.org/02k5swt12","country_code":"BR","type":"education","lineage":["https://openalex.org/I88273585"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Hugo Resende","raw_affiliation_strings":["Institute of Science and Technology - Universidade Federal de S&#x00E3;o Paulo,S&#x00E3;o Jos&#x00E9; dos Campos,SP,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Science and Technology - Universidade Federal de S&#x00E3;o Paulo,S&#x00E3;o Jos&#x00E9; dos Campos,SP,Brazil","institution_ids":["https://openalex.org/I88273585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026922652","display_name":"Eduardo B. Neto","orcid":"https://orcid.org/0000-0001-6515-0403"},"institutions":[{"id":"https://openalex.org/I88273585","display_name":"Universidade Federal de S\u00e3o Paulo","ror":"https://ror.org/02k5swt12","country_code":"BR","type":"education","lineage":["https://openalex.org/I88273585"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Eduardo B. Neto","raw_affiliation_strings":["Institute of Science and Technology - Universidade Federal de S&#x00E3;o Paulo,S&#x00E3;o Jos&#x00E9; dos Campos,SP,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Science and Technology - Universidade Federal de S&#x00E3;o Paulo,S&#x00E3;o Jos&#x00E9; dos Campos,SP,Brazil","institution_ids":["https://openalex.org/I88273585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051958513","display_name":"F\u00e1bio A. M. Cappabianco","orcid":"https://orcid.org/0000-0002-2139-7938"},"institutions":[{"id":"https://openalex.org/I88273585","display_name":"Universidade Federal de S\u00e3o Paulo","ror":"https://ror.org/02k5swt12","country_code":"BR","type":"education","lineage":["https://openalex.org/I88273585"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"F\u00e1bio A. M. Cappabianco","raw_affiliation_strings":["Institute of Science and Technology - Universidade Federal de S&#x00E3;o Paulo,S&#x00E3;o Jos&#x00E9; dos Campos,SP,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Science and Technology - Universidade Federal de S&#x00E3;o Paulo,S&#x00E3;o Jos&#x00E9; dos Campos,SP,Brazil","institution_ids":["https://openalex.org/I88273585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011491054","display_name":"\u00c1lvaro Luiz Fazenda","orcid":"https://orcid.org/0000-0002-4052-1113"},"institutions":[{"id":"https://openalex.org/I88273585","display_name":"Universidade Federal de S\u00e3o Paulo","ror":"https://ror.org/02k5swt12","country_code":"BR","type":"education","lineage":["https://openalex.org/I88273585"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"\u00c1lvaro L. Fazenda","raw_affiliation_strings":["Institute of Science and Technology - Universidade Federal de S&#x00E3;o Paulo,S&#x00E3;o Jos&#x00E9; dos Campos,SP,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Science and Technology - Universidade Federal de S&#x00E3;o Paulo,S&#x00E3;o Jos&#x00E9; dos Campos,SP,Brazil","institution_ids":["https://openalex.org/I88273585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084132882","display_name":"F\u00e1bio A. Faria","orcid":"https://orcid.org/0000-0003-2956-6326"},"institutions":[{"id":"https://openalex.org/I88273585","display_name":"Universidade Federal de S\u00e3o Paulo","ror":"https://ror.org/02k5swt12","country_code":"BR","type":"education","lineage":["https://openalex.org/I88273585"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Fabio A. Faria","raw_affiliation_strings":["Institute of Science and Technology - Universidade Federal de S&#x00E3;o Paulo,S&#x00E3;o Jos&#x00E9; dos Campos,SP,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Science and Technology - Universidade Federal de S&#x00E3;o Paulo,S&#x00E3;o Jos&#x00E9; dos Campos,SP,Brazil","institution_ids":["https://openalex.org/I88273585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I88273585"],"apc_list":null,"apc_paid":null,"fwci":1.9364,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.85775153,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10555","display_name":"Fire effects on ecosystems","score":0.7930999994277954,"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":0.7930999994277954,"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/T10319","display_name":"Conservation, Biodiversity, and Resource Management","score":0.7189000248908997,"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/T13435","display_name":"Animal and Plant Science Education","score":0.6668999791145325,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/amazon-rainforest","display_name":"Amazon rainforest","score":0.8576267957687378},{"id":"https://openalex.org/keywords/crowds","display_name":"Crowds","score":0.814163327217102},{"id":"https://openalex.org/keywords/deforestation","display_name":"Deforestation (computer science)","score":0.7516043186187744},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5403405427932739},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5384886264801025},{"id":"https://openalex.org/keywords/distance-sampling","display_name":"Distance sampling","score":0.4185267984867096},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3851829171180725},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.34129709005355835},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3057979643344879},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.18246489763259888},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17231136560440063},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1501707136631012},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.1020047664642334}],"concepts":[{"id":"https://openalex.org/C535291247","wikidata":"https://www.wikidata.org/wiki/Q177567","display_name":"Amazon rainforest","level":2,"score":0.8576267957687378},{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.814163327217102},{"id":"https://openalex.org/C2777399953","wikidata":"https://www.wikidata.org/wiki/Q2155658","display_name":"Deforestation (computer science)","level":2,"score":0.7516043186187744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5403405427932739},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5384886264801025},{"id":"https://openalex.org/C2781050692","wikidata":"https://www.wikidata.org/wiki/Q5282869","display_name":"Distance sampling","level":3,"score":0.4185267984867096},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3851829171180725},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34129709005355835},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3057979643344879},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.18246489763259888},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17231136560440063},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1501707136631012},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.1020047664642334},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C69661492","wikidata":"https://www.wikidata.org/wiki/Q1447141","display_name":"Transect","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sibgrapi62404.2024.10716332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgrapi62404.2024.10716332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 37th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1116103147","display_name":null,"funder_award_id":"2014/50937-1,2015/24485-9,2018/23908-1,2019/26702-8,2023/00811-0,2023/00782-0","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G5810721753","display_name":null,"funder_award_id":"465446/2014-0","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"}],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1516283167","https://openalex.org/W1715448033","https://openalex.org/W1931910357","https://openalex.org/W2044465660","https://openalex.org/W2053450063","https://openalex.org/W2056435747","https://openalex.org/W2118246710","https://openalex.org/W2119821739","https://openalex.org/W2295675274","https://openalex.org/W2597944323","https://openalex.org/W2907648650","https://openalex.org/W3003550246","https://openalex.org/W3012151190","https://openalex.org/W3096109678","https://openalex.org/W3142849873","https://openalex.org/W3166846941","https://openalex.org/W4318141566","https://openalex.org/W4392952883","https://openalex.org/W4400735230","https://openalex.org/W6704188413","https://openalex.org/W6733581690"],"related_works":["https://openalex.org/W1993531211","https://openalex.org/W2136885499","https://openalex.org/W2000108137","https://openalex.org/W1628300877","https://openalex.org/W2139637140","https://openalex.org/W1510151755","https://openalex.org/W2115058414","https://openalex.org/W2069821980","https://openalex.org/W4295779605","https://openalex.org/W4318141566"],"abstract_inverted_index":{"Conserving":[0],"tropical":[1],"forests":[2],"is":[3],"highly":[4],"relevant":[5],"socially":[6],"and":[7,22,49,70,127],"ecologically":[8],"because":[9],"of":[10,26,61,110,173],"their":[11,74],"critical":[12],"role":[13],"in":[14,73,132,154],"the":[15,19,59,98,108,114,119,150,155,162,170,174],"global":[16],"ecosystem.":[17],"However,":[18],"ongoing":[20],"deforestation":[21,75,133,156],"degradation":[23],"affect":[24],"millions":[25],"hectares":[27],"each":[28],"year,":[29],"necessitating":[30],"government":[31,69],"or":[32],"private":[33],"initiatives":[34],"to":[35,65,101,112,122],"ensure":[36],"effective":[37],"forest":[38],"monitoring.":[39],"In":[40,93,136],"April":[41],"2019,":[42],"a":[43],"project":[44,85,100],"based":[45,106,145],"on":[46,107,146],"Citizen":[47],"Science":[48],"Machine":[50],"Learning":[51],"models":[52],"called":[53],"ForestEyes":[54],"(FE)":[55],"was":[56],"launched":[57],"with":[58,161],"aim":[60],"providing":[62],"supplementary":[63],"data":[64],"assist":[66],"experts":[67],"from":[68,118],"non-profit":[71],"organizations":[72],"monitoring":[76],"efforts.":[77],"Recent":[78],"research":[79],"has":[80],"shown":[81],"that":[82,142],"labeling":[83],"FE":[84,99],"volunteers/citizen":[86],"scientists":[87],"helps":[88],"tailor":[89],"machine":[90],"learning":[91],"models.":[92],"this":[94],"sense,":[95],"we":[96,139],"adopt":[97],"create":[102],"different":[103],"sampling":[104,164],"strategies":[105],"wisdom":[109],"crowds":[111],"select":[113],"most":[115],"suitable":[116],"samples":[117],"training":[120],"set":[121],"learn":[123],"an":[124],"SVM":[125,175],"technique":[126],"obtain":[128],"better":[129],"classification":[130,152],"results":[131,153],"detection":[134,157],"tasks.":[135],"our":[137,143],"experiments,":[138],"can":[140],"show":[141],"strategy":[144],"user":[147],"entropy-increasing":[148],"achieved":[149],"best":[151],"task":[158],"when":[159],"compared":[160],"random":[163],"strategies,":[165],"as":[166],"well":[167],"as,":[168],"reducing":[169],"convergence":[171],"time":[172],"technique.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
