{"id":"https://openalex.org/W2015868548","doi":"https://doi.org/10.1109/igarss.2010.5653215","title":"Tropical land cover change detection with polarimetric SAR data","display_name":"Tropical land cover change detection with polarimetric SAR data","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2015868548","doi":"https://doi.org/10.1109/igarss.2010.5653215","mag":"2015868548"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2010.5653215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2010.5653215","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Geoscience and Remote Sensing Symposium","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/A5036873261","display_name":"Emerson Luiz Servello","orcid":null},"institutions":[{"id":"https://openalex.org/I116268893","display_name":"Brazilian Institute of Environment and Renewable Natural Resources","ror":"https://ror.org/057g0br29","country_code":"BR","type":"government","lineage":["https://openalex.org/I116268893"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Emerson Luiz Servello","raw_affiliation_strings":["Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais Renov\u00e1veis, Alta Floresta, Mato Grosso do Sul, Brazil","Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais Renov\u00e1veis - IBAMA., Av. Ludovico da Riva Neto, 2643 - 78.580-000 - Alta Floresta, MT, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais Renov\u00e1veis, Alta Floresta, Mato Grosso do Sul, Brazil","institution_ids":["https://openalex.org/I116268893"]},{"raw_affiliation_string":"Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais Renov\u00e1veis - IBAMA., Av. Ludovico da Riva Neto, 2643 - 78.580-000 - Alta Floresta, MT, Brazil","institution_ids":["https://openalex.org/I116268893"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032910899","display_name":"Tatiana Mora Kuplich","orcid":"https://orcid.org/0000-0003-0657-4024"},"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":"Tatiana Mora Kuplich","raw_affiliation_strings":["Southern Regional Centre, Instituto Nacional de Pesquisas Espaciais, Santa Maria, Rio Grande do Sul, Brazil","Instituto Nacional de Pesquisas Espaciais - Southern Regional Centre (INPE/CRS), Caixa Postal 5021 - 97110-970 - Santa Maria, RS, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern Regional Centre, Instituto Nacional de Pesquisas Espaciais, Santa Maria, Rio Grande do Sul, Brazil","institution_ids":["https://openalex.org/I80849659"]},{"raw_affiliation_string":"Instituto Nacional de Pesquisas Espaciais - Southern Regional Centre (INPE/CRS), Caixa Postal 5021 - 97110-970 - Santa Maria, RS, Brazil","institution_ids":["https://openalex.org/I80849659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004335574","display_name":"Yosio Edemir Shimabukuro","orcid":"https://orcid.org/0000-0002-1469-8433"},"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":"Yosio Edemir Shimabukuro","raw_affiliation_strings":["Instituto Nacional de Pesquisas Espaciais, Sao Paulo, Brazil","Instituto Nacional de Pesquisas Espaciais (INPE), Av. dos Astronautas 1758, 12227-010, S\u00e3o Jos\u00e9 dos Campos, SP, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Nacional de Pesquisas Espaciais, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I80849659"]},{"raw_affiliation_string":"Instituto Nacional de Pesquisas Espaciais (INPE), Av. dos Astronautas 1758, 12227-010, S\u00e3o Jos\u00e9 dos Campos, SP, Brazil","institution_ids":["https://openalex.org/I80849659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":17.2151,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.98542826,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1477","last_page":"1480"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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":0.9884999990463257,"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"}},{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.98089998960495,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7638195753097534},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.7595127820968628},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.6354093551635742},{"id":"https://openalex.org/keywords/polarimetry","display_name":"Polarimetry","score":0.6169867515563965},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.47634246945381165},{"id":"https://openalex.org/keywords/cloud-cover","display_name":"Cloud cover","score":0.47591716051101685},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.4518130421638489},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.43703263998031616},{"id":"https://openalex.org/keywords/wishart-distribution","display_name":"Wishart distribution","score":0.423414945602417},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4127037525177002},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.3190575838088989},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.21960806846618652},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.19652122259140015},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13012880086898804},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.086617112159729},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.061879366636276245}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7638195753097534},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.7595127820968628},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.6354093551635742},{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.6169867515563965},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.47634246945381165},{"id":"https://openalex.org/C206887242","wikidata":"https://www.wikidata.org/wiki/Q830457","display_name":"Cloud cover","level":3,"score":0.47591716051101685},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4518130421638489},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.43703263998031616},{"id":"https://openalex.org/C33962027","wikidata":"https://www.wikidata.org/wiki/Q1930697","display_name":"Wishart distribution","level":3,"score":0.423414945602417},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4127037525177002},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.3190575838088989},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.21960806846618652},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.19652122259140015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13012880086898804},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.086617112159729},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.061879366636276245},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2010.5653215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2010.5653215","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:urlib.net:sid.inpe.br/mtc-m19/2011/01.06.16.09.53-0","is_oa":false,"landing_page_url":"http://urlib.net/sid.inpe.br/mtc-m19/2011/01.06.16.09","pdf_url":null,"source":{"id":"https://openalex.org/S4377196298","display_name":"Biblioteca Digital da Mem\u00f3ria Cient\u00edfica do INPE (National Institute for Space Research)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I80849659","host_organization_name":"Instituto Nacional de Pesquisas Espaciais","host_organization_lineage":["https://openalex.org/I80849659"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1975108988","https://openalex.org/W2023492626","https://openalex.org/W2037170944","https://openalex.org/W2106052468","https://openalex.org/W2120560384","https://openalex.org/W2130394764","https://openalex.org/W2146618204","https://openalex.org/W2159687486","https://openalex.org/W2164296623","https://openalex.org/W2164693227","https://openalex.org/W2171331666"],"related_works":["https://openalex.org/W2146312983","https://openalex.org/W2389605595","https://openalex.org/W1586339758","https://openalex.org/W3131856045","https://openalex.org/W2364482911","https://openalex.org/W2065601395","https://openalex.org/W3111630311","https://openalex.org/W2123581770","https://openalex.org/W2553651735","https://openalex.org/W2610921225"],"abstract_inverted_index":{"There":[0],"is":[1],"an":[2],"increasing":[3],"need":[4],"for":[5,18,36,56,119,144,157],"fast":[6],"and":[7,15,32,50,63,89,99,112,122,137,147,181,187],"accurate":[8],"data":[9,25,41,128],"on":[10,132],"tropical":[11,60],"land":[12,19,61,67,179,182],"cover":[13,20,31,62,68,180,183],"status,":[14],"a":[16,76],"baseline":[17],"monitoring.":[21],"Remotely":[22],"sensed":[23],"SAR":[24,40,105,127],"are":[26,42],"not":[27],"sensitive":[28],"to":[29,53,92,154],"cloud":[30],"can":[33],"be":[34,54],"useful":[35],"such":[37,47],"purpose.":[38],"Polarimetric":[39],"available":[43],"in":[44,83,96,102,160],"orbital":[45],"systems,":[46],"as":[48],"RADARSAT-2,":[49],"still":[51],"have":[52],"tested":[55],"the":[57,64,133,145,161,176],"classification":[58],"of":[59,66,78,135,172,178],"detection":[65,159],"change,":[69,184],"particularly":[70],"forest":[71,98,162,186],"conversion.":[72],"This":[73],"work":[74],"presents":[75],"study":[77],"RADARSAT-2":[79,173],"polarimetric":[80],"images,":[81],"acquired":[82,108],"two":[84],"different":[85,110],"dates":[86],"(September":[87],"2008":[88],"October":[90],"2009),":[91],"assess":[93],"their":[94],"potential":[95],"classifying":[97],"non-forest":[100,188],"classes":[101,123],"Brazilian":[103],"Amazonia.":[104],"images":[106,120,174],"were":[107,129,152,167],"following":[109],"orbit":[111],"incidence":[113],"angles,":[114],"which":[115],"anticipated":[116],"varied":[117],"conditions":[118],"interpretation":[121],"discrimination.":[124],"The":[125,170],"complex":[126],"classified":[130],"based":[131],"distance":[134],"Wishart,":[136],"information":[138],"from":[139],"field":[140],"campaigns":[141],"was":[142],"used":[143],"training":[146],"test":[148],"samples.":[149],"Classification":[150,164],"results":[151],"compared":[153],"evaluate":[155],"possibilities":[156],"change":[158],"cover.":[163],"accuracy":[165],"figures":[166],"around":[168],"80%.":[169],"use":[171],"allowed":[175],"mapping":[177],"considering":[185],"classes.":[189]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}