{"id":"https://openalex.org/W2775044112","doi":"https://doi.org/10.1109/igarss.2017.8127609","title":"Applying geographic object-based image analysis (GEOBIA) and data mining to identify secondary forests succession on Santarem Region, Para, Brazil","display_name":"Applying geographic object-based image analysis (GEOBIA) and data mining to identify secondary forests succession on Santarem Region, Para, Brazil","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2775044112","doi":"https://doi.org/10.1109/igarss.2017.8127609","mag":"2775044112"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2017.8127609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127609","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5042830688","display_name":"Diego Pinheiro de Menezes","orcid":null},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"D. P. Menezes","raw_affiliation_strings":["University of S\u00e3o Paulo (USP), Geospatial Computing Lab (LACGEO), S\u00e3o Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of S\u00e3o Paulo (USP), Geospatial Computing Lab (LACGEO), S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018183050","display_name":"Waldir Mantovani","orcid":"https://orcid.org/0000-0002-9394-6860"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"W. Mantovani","raw_affiliation_strings":["University of S\u00e3o Paulo (USP), Geospatial Computing Lab (LACGEO), S\u00e3o Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of S\u00e3o Paulo (USP), Geospatial Computing Lab (LACGEO), S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":null,"display_name":"H. Fonseca Filho","orcid":null},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"H. Fonseca Filho","raw_affiliation_strings":["University of S\u00e3o Paulo (USP), Geospatial Computing Lab (LACGEO), S\u00e3o Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of S\u00e3o Paulo (USP), Geospatial Computing Lab (LACGEO), S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021969640","display_name":"Lu\u00eds Am\u00e9rico Conti","orcid":null},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"L.A. Conti","raw_affiliation_strings":["University of S\u00e3o Paulo (USP), Geospatial Computing Lab (LACGEO), S\u00e3o Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of S\u00e3o Paulo (USP), Geospatial Computing Lab (LACGEO), S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012476825","display_name":"Clayton Bittencourt","orcid":null},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"C. Bittencourt","raw_affiliation_strings":["University of S\u00e3o Paulo (USP), Geospatial Computing Lab (LACGEO), S\u00e3o Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of S\u00e3o Paulo (USP), Geospatial Computing Lab (LACGEO), S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13216755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":null,"first_page":"2919","last_page":"2922"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9958000183105469,"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"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9958000183105469,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.995199978351593,"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":0.9776999950408936,"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/ecological-succession","display_name":"Ecological succession","score":0.8236814141273499},{"id":"https://openalex.org/keywords/ecosystem","display_name":"Ecosystem","score":0.4860137403011322},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.47198396921157837},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.4621475636959076},{"id":"https://openalex.org/keywords/secondary-succession","display_name":"Secondary succession","score":0.4430299401283264},{"id":"https://openalex.org/keywords/geographic-information-system","display_name":"Geographic information system","score":0.429782509803772},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4295303225517273},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.4146807789802551},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.2794114351272583},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.14682576060295105}],"concepts":[{"id":"https://openalex.org/C150117547","wikidata":"https://www.wikidata.org/wiki/Q188230","display_name":"Ecological succession","level":2,"score":0.8236814141273499},{"id":"https://openalex.org/C110872660","wikidata":"https://www.wikidata.org/wiki/Q37813","display_name":"Ecosystem","level":2,"score":0.4860137403011322},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.47198396921157837},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4621475636959076},{"id":"https://openalex.org/C16884802","wikidata":"https://www.wikidata.org/wiki/Q3710494","display_name":"Secondary succession","level":3,"score":0.4430299401283264},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.429782509803772},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4295303225517273},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.4146807789802551},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.2794114351272583},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.14682576060295105}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2017.8127609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127609","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W652054983","https://openalex.org/W1964217023","https://openalex.org/W1978279479","https://openalex.org/W1978617972","https://openalex.org/W1981213426","https://openalex.org/W1994508789","https://openalex.org/W2044465660","https://openalex.org/W2087622902","https://openalex.org/W2103079830","https://openalex.org/W2123783059","https://openalex.org/W2165533198","https://openalex.org/W2268593327","https://openalex.org/W2385696202","https://openalex.org/W2520452758","https://openalex.org/W2989983865","https://openalex.org/W4230443367","https://openalex.org/W6636950212"],"related_works":["https://openalex.org/W1881439788","https://openalex.org/W4388367125","https://openalex.org/W2084896092","https://openalex.org/W2168376880","https://openalex.org/W1976340618","https://openalex.org/W4213297505","https://openalex.org/W2766479801","https://openalex.org/W4213151944","https://openalex.org/W2321070125","https://openalex.org/W4214926271"],"abstract_inverted_index":{"The":[0],"secondary":[1,95],"forest":[2,55],"has":[3],"a":[4,59,87,111,129],"low":[5],"diversity":[6],"of":[7,17,35,93,110],"species,":[8],"however,":[9],"they":[10],"have":[11],"major":[12],"importance":[13],"for":[14],"the":[15,25,36,54,74,91,108,121],"reestablishment":[16],"ecosystem":[18],"functions":[19],"and":[20],"nutrient":[21],"stocks":[22],"lost":[23],"from":[24],"original":[26],"forests,":[27],"as":[28,30],"well":[29],"higher":[31],"carbon":[32],"absorption":[33],"rate":[34],"mature":[37],"forests.":[38],"In":[39],"this":[40],"study,":[41],"we":[42,76],"developed":[43],"an":[44],"approach":[45],"using":[46],"geographic":[47],"object-based":[48],"image":[49],"analysis":[50],"(GEOBIA)":[51],"to":[52,83,99,115],"classify":[53],"succession":[56,96],"stages":[57],"in":[58,90,128],"study":[60],"area":[61],"with":[62],"11,124":[63],"km":[64],"<sup":[65],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[66],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[67],"around":[68],"Santar\u00e9m":[69],"(Par\u00e1":[70],"State,":[71],"Brazil).":[72],"Among":[73],"results,":[75],"did":[77],"19":[78],"different":[79],"classifications":[80,126],"covering":[81],"1984":[82],"2016,":[84],"having":[85],"identified":[86],"variable":[88],"pattern":[89],"extension":[92],"two":[94],"classes":[97],"(5":[98],"15":[100],"years,":[101],">30":[102],"years).":[103],"Another":[104],"relevant":[105],"result":[106],"was":[107],"modeling":[109],"decision":[112],"tree":[113],"applicable":[114],"surface":[116],"reflectance":[117],"images":[118],"collected":[119],"by":[120],"LANDSAT":[122],"satellites,":[123],"processing":[124],"these":[125],"attributes":[127],"data":[130],"mining":[131],"software.":[132]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
