{"id":"https://openalex.org/W2071379348","doi":"https://doi.org/10.1109/igarss.2010.5652003","title":"New DTW-based method to similarity search in sugar cane regions represented by climate and remote sensing time series","display_name":"New DTW-based method to similarity search in sugar cane regions represented by climate and remote sensing time series","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2071379348","doi":"https://doi.org/10.1109/igarss.2010.5652003","mag":"2071379348"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2010.5652003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2010.5652003","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":"conference-paper","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/A5053203680","display_name":"L. A. S. Romani","orcid":"https://orcid.org/0000-0002-7386-3515"},"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. S. Romani","raw_affiliation_strings":["Computer Science Department, University of Sao Paulo, Sao Carlos, Brazil","Computer Science Department, USP at Sao Carlos, PB 668 13560-970, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Sao Paulo, Sao Carlos, Brazil","institution_ids":["https://openalex.org/I17974374"]},{"raw_affiliation_string":"Computer Science Department, USP at Sao Carlos, PB 668 13560-970, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111476901","display_name":"R. R. V. Gon\u00e7alves","orcid":"https://orcid.org/0009-0000-2240-4557"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"R. R. V. Goncalves","raw_affiliation_strings":["CNPq and Cepagri, State University of Campinas-UNICAMP, Campinas, Brazil","CNPq and Cepagri, University of Campinas, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNPq and Cepagri, State University of Campinas-UNICAMP, Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]},{"raw_affiliation_string":"CNPq and Cepagri, University of Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018315021","display_name":"Jurandir Zullo","orcid":"https://orcid.org/0000-0002-5945-4918"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"J. Zullo","raw_affiliation_strings":["CNPq and Cepagri, State University of Campinas-UNICAMP, Campinas, Brazil","CNPq and Cepagri, University of Campinas, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNPq and Cepagri, State University of Campinas-UNICAMP, Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]},{"raw_affiliation_string":"CNPq and Cepagri, University of Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020611078","display_name":"Caetano Traina","orcid":"https://orcid.org/0000-0002-6625-6047"},"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. Traina","raw_affiliation_strings":["Computer Science Department, University of Sao Paulo, Sao Carlos, Brazil","Computer Science Department, USP at Sao Carlos, PB 668 13560-970, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Sao Paulo, Sao Carlos, Brazil","institution_ids":["https://openalex.org/I17974374"]},{"raw_affiliation_string":"Computer Science Department, USP at Sao Carlos, PB 668 13560-970, Brazil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014783020","display_name":"Agma J. M. Traina","orcid":"https://orcid.org/0000-0003-4929-7258"},"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":"A. J. M. Traina","raw_affiliation_strings":["Computer Science Department, University of Sao Paulo, Sao Carlos, Brazil","Computer Science Department, USP at Sao Carlos, PB 668 13560-970, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Sao Paulo, Sao Carlos, Brazil","institution_ids":["https://openalex.org/I17974374"]},{"raw_affiliation_string":"Computer Science Department, USP at Sao Carlos, PB 668 13560-970, Brazil","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.7361,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.98612521,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"355","last_page":"358"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9932000041007996,"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":0.9932000041007996,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9230999946594238,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.5481768250465393},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5363026857376099},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.4913600981235504},{"id":"https://openalex.org/keywords/sugar-cane","display_name":"Sugar cane","score":0.48471713066101074},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47440385818481445},{"id":"https://openalex.org/keywords/productivity","display_name":"Productivity","score":0.46705305576324463},{"id":"https://openalex.org/keywords/commodity","display_name":"Commodity","score":0.4626390039920807},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4547497630119324},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4492805600166321},{"id":"https://openalex.org/keywords/sugar","display_name":"Sugar","score":0.43828409910202026},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.43138325214385986},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.43059951066970825},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.4244026839733124},{"id":"https://openalex.org/keywords/agricultural-engineering","display_name":"Agricultural engineering","score":0.4007722735404968},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34258896112442017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3272581398487091},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2859680652618408},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1771768033504486},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.12363278865814209}],"concepts":[{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.5481768250465393},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5363026857376099},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.4913600981235504},{"id":"https://openalex.org/C2986157811","wikidata":"https://www.wikidata.org/wiki/Q36940","display_name":"Sugar cane","level":2,"score":0.48471713066101074},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47440385818481445},{"id":"https://openalex.org/C204983608","wikidata":"https://www.wikidata.org/wiki/Q2111958","display_name":"Productivity","level":2,"score":0.46705305576324463},{"id":"https://openalex.org/C2779439359","wikidata":"https://www.wikidata.org/wiki/Q317088","display_name":"Commodity","level":2,"score":0.4626390039920807},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4547497630119324},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4492805600166321},{"id":"https://openalex.org/C2777108408","wikidata":"https://www.wikidata.org/wiki/Q11002","display_name":"Sugar","level":2,"score":0.43828409910202026},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.43138325214385986},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.43059951066970825},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.4244026839733124},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.4007722735404968},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34258896112442017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3272581398487091},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2859680652618408},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1771768033504486},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.12363278865814209},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2010.5652003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2010.5652003","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W116902681","https://openalex.org/W1974047452","https://openalex.org/W1992040649","https://openalex.org/W2000257837","https://openalex.org/W2000563894","https://openalex.org/W2000674463","https://openalex.org/W2019844743","https://openalex.org/W2020095931","https://openalex.org/W2091921805","https://openalex.org/W2168216400","https://openalex.org/W2187460597","https://openalex.org/W2575311006","https://openalex.org/W6604828220","https://openalex.org/W6687192313"],"related_works":["https://openalex.org/W1988219939","https://openalex.org/W1260579457","https://openalex.org/W2362869878","https://openalex.org/W616098314","https://openalex.org/W4254244180","https://openalex.org/W1553140159","https://openalex.org/W2898162992","https://openalex.org/W2485622169","https://openalex.org/W561965650","https://openalex.org/W2371196548"],"abstract_inverted_index":{"Brazil":[0],"is":[1,8,23,75],"an":[2,108],"important":[3,24],"sugar":[4,55,88],"cane":[5,56,89],"producer,":[6],"which":[7],"the":[9,26,36,118,122],"main":[10],"resource":[11],"for":[12],"ethanol":[13],"production,":[14],"a":[15,59,76,83,103],"renewable":[16],"source":[17],"of":[18,94,132],"energy.":[19],"This":[20],"agricultural":[21,146],"commodity":[22],"to":[25,31,53,69,85,110],"country":[27],"economy,":[28],"becoming":[29],"fundamental":[30],"improve":[32],"models":[33],"that":[34],"assist":[35],"crops":[37],"monitoring":[38],"process.":[39],"Vegetation":[40],"indexes":[41,49],"originated":[42],"from":[43],"remote":[44],"sensing":[45],"images":[46],"and":[47,96,134],"agrometeorological":[48,97],"can":[50,139],"be":[51],"combined":[52],"represent":[54],"fields":[57,90],"in":[58,117,141],"regional":[60],"scale.":[61],"However,":[62],"finding":[63,127],"different":[64],"regions":[65,128],"with":[66,107,121,129],"similar":[67,87,112,130],"patterns":[68],"classify":[70],"or":[71],"analyze":[72],"their":[73],"characteristics":[74,131],"non-trivial":[77],"task.":[78],"Accordingly,":[79],"this":[80,137],"paper":[81],"presents":[82],"method":[84,101],"find":[86,111],"represented":[91],"by":[92,125,145],"series":[93],"vegetation":[95],"indexes.":[98],"The":[99],"proposed":[100],"combines":[102],"weighted":[104],"distance":[105],"function":[106],"algorithm":[109],"objects.":[113],"Results":[114],"were":[115],"coincident":[116],"most":[119],"cases":[120],"classification":[123],"done":[124],"experts,":[126],"climate":[133],"productivity.":[135],"Consequently,":[136],"approach":[138],"help":[140],"decision":[142],"making":[143],"processes":[144],"entrepreneurs.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
