{"id":"https://openalex.org/W4285013845","doi":"https://doi.org/10.3390/rs14143290","title":"Improving Deforestation Detection on Tropical Rainforests Using Sentinel-1 Data and Convolutional Neural Networks","display_name":"Improving Deforestation Detection on Tropical Rainforests Using Sentinel-1 Data and Convolutional Neural Networks","publication_year":2022,"publication_date":"2022-07-08","ids":{"openalex":"https://openalex.org/W4285013845","doi":"https://doi.org/10.3390/rs14143290"},"language":"en","primary_location":{"id":"doi:10.3390/rs14143290","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14143290","pdf_url":"https://www.mdpi.com/2072-4292/14/14/3290/pdf?version=1657271775","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/14/3290/pdf?version=1657271775","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072902863","display_name":"M. X. Ortega","orcid":"https://orcid.org/0000-0002-4106-0291"},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Mabel Ortega Adarme","raw_affiliation_strings":["Department of Electrical Engineering, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro 22451-900, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro 22451-900, Brazil","institution_ids":["https://openalex.org/I2699952"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055960273","display_name":"Juan Doblas","orcid":"https://orcid.org/0000-0002-2573-3783"},"institutions":[{"id":"https://openalex.org/I80849659","display_name":"Instituto Nacional de Pesquisas Espaciais","ror":"https://ror.org/04xbn6x09","country_code":"BR","type":"facility","lineage":["https://openalex.org/I4210151455","https://openalex.org/I80849659"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Juan Doblas Prieto","raw_affiliation_strings":["National Institute for Space Research (INPE), S\u00e3o Jose dos Campos, S\u00e3o Paulo 12227-010, Brazil"],"affiliations":[{"raw_affiliation_string":"National Institute for Space Research (INPE), S\u00e3o Jose dos Campos, S\u00e3o Paulo 12227-010, Brazil","institution_ids":["https://openalex.org/I80849659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067983564","display_name":"Raul Queiroz Feitosa","orcid":"https://orcid.org/0000-0001-8344-5096"},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Raul Queiroz Feitosa","raw_affiliation_strings":["Department of Electrical Engineering, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro 22451-900, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro 22451-900, Brazil","institution_ids":["https://openalex.org/I2699952"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045645901","display_name":"Cl\u00e1udio Almeida","orcid":"https://orcid.org/0000-0002-1032-6966"},"institutions":[{"id":"https://openalex.org/I80849659","display_name":"Instituto Nacional de Pesquisas Espaciais","ror":"https://ror.org/04xbn6x09","country_code":"BR","type":"facility","lineage":["https://openalex.org/I4210151455","https://openalex.org/I80849659"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Cl\u00e1udio Aparecido De Almeida","raw_affiliation_strings":["National Institute for Space Research (INPE), S\u00e3o Jose dos Campos, S\u00e3o Paulo 12227-010, Brazil"],"affiliations":[{"raw_affiliation_string":"National Institute for Space Research (INPE), S\u00e3o Jose dos Campos, S\u00e3o Paulo 12227-010, Brazil","institution_ids":["https://openalex.org/I80849659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072902863"],"corresponding_institution_ids":["https://openalex.org/I2699952"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.8178,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.83059042,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"14","issue":"14","first_page":"3290","last_page":"3290"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9945999979972839,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/deforestation","display_name":"Deforestation (computer science)","score":0.7629620432853699},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.654879629611969},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6303018927574158},{"id":"https://openalex.org/keywords/amazon-rainforest","display_name":"Amazon rainforest","score":0.5857994556427002},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5674736499786377},{"id":"https://openalex.org/keywords/forest-degradation","display_name":"Forest degradation","score":0.5348533391952515},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4683474898338318},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4271591603755951},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4172886610031128},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4142070412635803},{"id":"https://openalex.org/keywords/rainforest","display_name":"Rainforest","score":0.4136055111885071},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3545629382133484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3459726870059967},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34214770793914795},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18351033329963684},{"id":"https://openalex.org/keywords/land-degradation","display_name":"Land degradation","score":0.18311452865600586},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15320280194282532},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.12318164110183716},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06809946894645691}],"concepts":[{"id":"https://openalex.org/C2777399953","wikidata":"https://www.wikidata.org/wiki/Q2155658","display_name":"Deforestation (computer science)","level":2,"score":0.7629620432853699},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.654879629611969},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6303018927574158},{"id":"https://openalex.org/C535291247","wikidata":"https://www.wikidata.org/wiki/Q177567","display_name":"Amazon rainforest","level":2,"score":0.5857994556427002},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5674736499786377},{"id":"https://openalex.org/C2779007161","wikidata":"https://www.wikidata.org/wiki/Q37852984","display_name":"Forest degradation","level":4,"score":0.5348533391952515},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4683474898338318},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4271591603755951},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4172886610031128},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4142070412635803},{"id":"https://openalex.org/C2619416","wikidata":"https://www.wikidata.org/wiki/Q9444","display_name":"Rainforest","level":2,"score":0.4136055111885071},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3545629382133484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3459726870059967},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34214770793914795},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18351033329963684},{"id":"https://openalex.org/C113052830","wikidata":"https://www.wikidata.org/wiki/Q3497778","display_name":"Land degradation","level":3,"score":0.18311452865600586},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15320280194282532},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.12318164110183716},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06809946894645691},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14143290","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14143290","pdf_url":"https://www.mdpi.com/2072-4292/14/14/3290/pdf?version=1657271775","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:600fd05bc3ad4fa5b42357d050a84f8b","is_oa":true,"landing_page_url":"https://doaj.org/article/600fd05bc3ad4fa5b42357d050a84f8b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 14, p 3290 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/14/3290/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14143290","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 14; Pages: 3290","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14143290","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14143290","pdf_url":"https://www.mdpi.com/2072-4292/14/14/3290/pdf?version=1657271775","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.7699999809265137,"display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G1429890386","display_name":null,"funder_award_id":"(CNPq","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G146285273","display_name":null,"funder_award_id":"FAPERJ","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G3331681876","display_name":null,"funder_award_id":"CAPES","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G3938906640","display_name":null,"funder_award_id":"(CAPES)","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G4175758497","display_name":null,"funder_award_id":"CAPES","funder_id":"https://openalex.org/F4320322749","funder_display_name":"Funda\u00e7\u00e3o Carlos Chagas Filho de Amparo \u00e0 Pesquisa do Estado do Rio de Janeiro"},{"id":"https://openalex.org/G5079005330","display_name":null,"funder_award_id":"support","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G5139334624","display_name":null,"funder_award_id":"Coordena\u00e7\u00e3o","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G6111631661","display_name":null,"funder_award_id":"Pesquisa","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G963174003","display_name":null,"funder_award_id":"de Aperfei\u00e7","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"}],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320322749","display_name":"Funda\u00e7\u00e3o Carlos Chagas Filho de Amparo \u00e0 Pesquisa do Estado do Rio de Janeiro","ror":"https://ror.org/03kk0s825"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285013845.pdf","grobid_xml":"https://content.openalex.org/works/W4285013845.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1931910357","https://openalex.org/W2004376198","https://openalex.org/W2013680310","https://openalex.org/W2022459032","https://openalex.org/W2036524212","https://openalex.org/W2037170944","https://openalex.org/W2039294942","https://openalex.org/W2049688855","https://openalex.org/W2057771708","https://openalex.org/W2090563002","https://openalex.org/W2099478714","https://openalex.org/W2112206513","https://openalex.org/W2154238733","https://openalex.org/W2165577558","https://openalex.org/W2169030050","https://openalex.org/W2288373547","https://openalex.org/W2464329271","https://openalex.org/W2520452758","https://openalex.org/W2548481085","https://openalex.org/W2620819529","https://openalex.org/W2725897987","https://openalex.org/W2765764351","https://openalex.org/W2794463910","https://openalex.org/W2803433330","https://openalex.org/W2914985931","https://openalex.org/W2940726923","https://openalex.org/W2946041101","https://openalex.org/W2951273725","https://openalex.org/W2965262829","https://openalex.org/W2985175000","https://openalex.org/W3003468186","https://openalex.org/W3008439211","https://openalex.org/W3011156941","https://openalex.org/W3011869042","https://openalex.org/W3014797965","https://openalex.org/W3028494269","https://openalex.org/W3047317383","https://openalex.org/W3083207009","https://openalex.org/W3092314016","https://openalex.org/W3092625606","https://openalex.org/W3107403224","https://openalex.org/W3123683102","https://openalex.org/W3149534198","https://openalex.org/W3186995122","https://openalex.org/W3187862743","https://openalex.org/W3217211428","https://openalex.org/W4200214769","https://openalex.org/W4206349775","https://openalex.org/W4210438736","https://openalex.org/W4280629601","https://openalex.org/W6782849110"],"related_works":["https://openalex.org/W4318822567","https://openalex.org/W1993531211","https://openalex.org/W2136885499","https://openalex.org/W1775026715","https://openalex.org/W2609527536","https://openalex.org/W2000108137","https://openalex.org/W1628300877","https://openalex.org/W4385818796","https://openalex.org/W2346813499","https://openalex.org/W4318141566"],"abstract_inverted_index":{"Detecting":[0],"early":[1],"deforestation":[2,111,184],"is":[3,18,66],"a":[4,81,89,173,181,189],"fundamental":[5],"process":[6],"in":[7,56,102,165,191],"reducing":[8],"forest":[9],"degradation":[10],"and":[11,22,79,88,114,121],"carbon":[12],"emissions.":[13],"With":[14],"this":[15,60,73,132,158],"procedure,":[16],"it":[17],"possible":[19],"to":[20,109,126,135,143,148,162,248],"monitor":[21],"control":[23],"illegal":[24],"activities":[25],"associated":[26],"with":[27,94,139],"deforestation.":[28],"Most":[29],"regular":[30],"monitoring":[31],"projects":[32],"have":[33],"been":[34],"recently":[35],"proposed,":[36],"but":[37],"most":[38],"of":[39,105,151,176,200,240],"them":[40],"rely":[41],"on":[42,85,208],"optical":[43],"imagery.":[44],"In":[45,59,155],"addition,":[46],"these":[47],"data":[48],"are":[49],"seriously":[50],"restricted":[51],"by":[52],"cloud":[53],"coverage,":[54],"especially":[55],"tropical":[57],"environments.":[58],"regard,":[61],"Synthetic":[62],"Aperture":[63],"Radar":[64],"(SAR)":[65],"an":[67],"attractive":[68],"alternative":[69],"that":[70,217],"can":[71],"fill":[72],"observational":[74],"gap.":[75],"This":[76],"work":[77],"evaluated":[78],"compared":[80],"conventional":[82],"method":[83,186],"based":[84,207],"time":[86,182,209],"series":[87],"Fully":[90],"Convolutional":[91],"Network":[92],"(FCN)":[93],"bi-temporal":[95],"SAR":[96],"images.":[97,130],"These":[98],"approaches":[99],"were":[100,124],"assessed":[101],"two":[103],"regions":[104],"the":[106,127,137,140,149,177,195,198,212,214,218,225,235,238,241,249],"Brazilian":[107],"Amazon":[108],"detect":[110],"between":[112],"2019":[113],"2020.":[115],"Different":[116],"pre-processing":[117,201],"techniques,":[118],"including":[119],"filtering":[120,229],"stabilization":[122,239],"stages,":[123],"applied":[125],"C-band":[128],"Sentinel-1":[129],"Furthermore,":[131],"study":[133,196],"proposes":[134],"provide":[136],"network":[138,220],"distance":[141],"map":[142],"past-deforestation":[144],"as":[145,188],"additional":[146],"information":[147],"pair":[150],"images":[152,243],"being":[153],"compared.":[154],"our":[156],"experiments,":[157],"proposal":[159],"brought":[160,244],"up":[161],"4%":[163],"improvement":[164],"average":[166],"precision.":[167],"The":[168],"experimental":[169],"results":[170],"further":[171],"indicated":[172],"clear":[174],"superiority":[175],"DL":[178,250],"approach":[179],"over":[180],"series-based":[183],"detection":[185,205],"used":[187],"baseline":[190],"all":[192],"experiments.":[193],"Finally,":[194],"proved":[197],"benefits":[199],"techniques":[202],"when":[203],"using":[204],"methods":[206],"series.":[210],"On":[211,234],"contrary,":[213],"analysis":[215],"revealed":[216],"neural":[219],"could":[221],"eliminate":[222],"noise":[223],"from":[224],"input":[226,242],"images,":[227],"making":[228],"innocuous":[230],"and,":[231],"therefore,":[232],"unnecessary.":[233],"other":[236],"hand,":[237],"non-negligible":[245],"accuracy":[246],"gains":[247],"approach.":[251]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2022-07-12T00:00:00"}
