{"id":"https://openalex.org/W2047427053","doi":"https://doi.org/10.1109/igarss.2011.6049502","title":"Evaluation of paddy yield and protein estimation methods based on various vegetation indices, NDSI and PLS using an airborne hyperspectral sensor AISA in Shonai Plain, Yamagata, Japan","display_name":"Evaluation of paddy yield and protein estimation methods based on various vegetation indices, NDSI and PLS using an airborne hyperspectral sensor AISA in Shonai Plain, Yamagata, Japan","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2047427053","doi":"https://doi.org/10.1109/igarss.2011.6049502","mag":"2047427053"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2011.6049502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2011.6049502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 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/A5076090546","display_name":"Shinya Odagawa","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shinya Odagawa","raw_affiliation_strings":["Asia Air Survey Company Limited, Japan","Asia Air Survey Co., Ltd., Japan"],"affiliations":[{"raw_affiliation_string":"Asia Air Survey Company Limited, Japan","institution_ids":[]},{"raw_affiliation_string":"Asia Air Survey Co., Ltd., Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091741217","display_name":"Kuniaki Uto","orcid":"https://orcid.org/0000-0001-9301-2462"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kuniaki Uto","raw_affiliation_strings":["Tokyo Institute of Technology, Japan","Tokyo institute of Technology (Japan)"],"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Tokyo institute of Technology (Japan)","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102196805","display_name":"Yukio Kosugi","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yukio Kosugi","raw_affiliation_strings":["Tokyo Institute of Technology, Japan","Tokyo institute of Technology (Japan)"],"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Tokyo institute of Technology (Japan)","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102187164","display_name":"Genya Saito","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Genya Saito","raw_affiliation_strings":["Tokyo Institute of Technology, Japan","Tokyo institute of Technology (Japan)"],"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Tokyo institute of Technology (Japan)","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100612541","display_name":"Yuka Sasaki","orcid":"https://orcid.org/0000-0002-0570-3659"},"institutions":[{"id":"https://openalex.org/I4210165438","display_name":"Yamagata University Hospital","ror":"https://ror.org/05gg4qm19","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210165438"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuka Sasaki","raw_affiliation_strings":["Yamagata University, China","Yamagata University, Japan"],"affiliations":[{"raw_affiliation_string":"Yamagata University, China","institution_ids":[]},{"raw_affiliation_string":"Yamagata University, Japan","institution_ids":["https://openalex.org/I4210165438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109279217","display_name":"Kunio Oda","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121645","display_name":"Yamagata Prefectural Police","ror":"https://ror.org/02ppzn363","country_code":"JP","type":"government","lineage":["https://openalex.org/I4210121645"]},{"id":"https://openalex.org/I4210110145","display_name":"Beijing Municipal Government","ror":"https://ror.org/01xp57w77","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210110145"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Kunio Oda","raw_affiliation_strings":["Yamagata Prefectural Government, China","Yamagata Prefectural Government, Japan"],"affiliations":[{"raw_affiliation_string":"Yamagata Prefectural Government, China","institution_ids":["https://openalex.org/I4210110145"]},{"raw_affiliation_string":"Yamagata Prefectural Government, Japan","institution_ids":["https://openalex.org/I4210121645"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109094337","display_name":"Masatane Kato","orcid":null},"institutions":[{"id":"https://openalex.org/I4210157597","display_name":"Remote Sensing Technology Center of Japan","ror":"https://ror.org/04z941r10","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210157597"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masatane Kato","raw_affiliation_strings":["Earth Remote Sensing Data Analysis Center, Japan"],"affiliations":[{"raw_affiliation_string":"Earth Remote Sensing Data Analysis Center, Japan","institution_ids":["https://openalex.org/I4210157597"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5076090546"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09581177,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"28","issue":null,"first_page":"1926","last_page":"1929"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9995999932289124,"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":0.9995999932289124,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9902999997138977,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7999322414398193},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6572267413139343},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.6015889644622803},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.5618826150894165},{"id":"https://openalex.org/keywords/yield","display_name":"Yield (engineering)","score":0.5119465589523315},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5052524209022522},{"id":"https://openalex.org/keywords/tiller","display_name":"Tiller (botany)","score":0.43536365032196045},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4044520854949951},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39482080936431885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.26452216506004333},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.24193793535232544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23438027501106262},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1798102855682373},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16598057746887207},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1499009132385254},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09853801131248474},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.07615679502487183}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7999322414398193},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6572267413139343},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.6015889644622803},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.5618826150894165},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.5119465589523315},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5052524209022522},{"id":"https://openalex.org/C2779247569","wikidata":"https://www.wikidata.org/wiki/Q2419334","display_name":"Tiller (botany)","level":2,"score":0.43536365032196045},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4044520854949951},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39482080936431885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.26452216506004333},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.24193793535232544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23438027501106262},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1798102855682373},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16598057746887207},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1499009132385254},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09853801131248474},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.07615679502487183},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2011.6049502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2011.6049502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2512700102"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"to":[3,70,97],"evaluate":[4],"rice":[5,72,105],"yield":[6,106],"and":[7,18,49,59,92,107],"protein":[8],"estimation":[9,102],"methods":[10],"based":[11],"on":[12],"various":[13],"vegetation":[14],"indices":[15],"(Vis),":[16],"NDSI":[17,65],"PLS":[19,56,91],"using":[20],"an":[21],"airborne":[22],"hyperspectral":[23],"sensor":[24],"AISA":[25],"in":[26,79],"Shonai":[27],"plane,":[28],"northeast":[29],"Japan.":[30],"In":[31,84],"several":[32,67],"developing":[33],"stages,":[34],"which":[35,94],"are":[36],"the":[37,42,50,80,100],"tillering":[38],"stage":[39,46,53],"(middle":[40],"June),":[41],"maximum":[43],"tiller":[44],"number":[45],"(early":[47],"July)":[48],"dough":[51,81],"ripe":[52,82],"(late":[54],"August),":[55],"has":[57],"stable":[58],"high":[60],"correlation":[61],"for":[62,104],"all":[63],"stages.":[64],"shows":[66],"discriminative":[68],"wavelengths":[69],"estimate":[71],"conditions.":[73],"Vis":[74],"slightly":[75],"estimated":[76],"those":[77],"situations":[78],"stage.":[83],"this":[85],"result,":[86],"a":[87],"hybrid":[88],"method":[89,103],"of":[90],"NDSI,":[93],"is":[95],"similar":[96],"iPLS,":[98],"suggests":[99],"best":[101],"protein.":[108]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
