{"id":"https://openalex.org/W2165327731","doi":"https://doi.org/10.3390/rs6064764","title":"Empirical Regression Models for Estimating Multiyear Leaf Area Index of Rice from Several Vegetation Indices at the Field Scale","display_name":"Empirical Regression Models for Estimating Multiyear Leaf Area Index of Rice from Several Vegetation Indices at the Field Scale","publication_year":2014,"publication_date":"2014-05-26","ids":{"openalex":"https://openalex.org/W2165327731","doi":"https://doi.org/10.3390/rs6064764","mag":"2165327731"},"language":"en","primary_location":{"id":"doi:10.3390/rs6064764","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs6064764","pdf_url":"https://www.mdpi.com/2072-4292/6/6/4764/pdf?version=1403137401","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/2072-4292/6/6/4764/pdf?version=1403137401","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041037395","display_name":"Masayasu Maki","orcid":"https://orcid.org/0009-0003-8539-1900"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Masayasu Maki","raw_affiliation_strings":["Graduate School of Engineering, Kyoto University, Kyoto 615-8540, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Kyoto University, Kyoto 615-8540, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003941469","display_name":"Koki Homma","orcid":"https://orcid.org/0000-0002-6285-6635"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koki Homma","raw_affiliation_strings":["Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, Japan","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041037395"],"corresponding_institution_ids":["https://openalex.org/I22299242"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.171,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.87154042,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"6","issue":"6","first_page":"4764","last_page":"4779"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9997000098228455,"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":0.9997000098228455,"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9832000136375427,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.8295198082923889},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.6675037741661072},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6356490254402161},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5651302337646484},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5238844752311707},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.49612340331077576},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4562992751598358},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.42118677496910095},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.30512094497680664},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2622642517089844},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.134368896484375},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.12587258219718933},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.12571236491203308},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08751589059829712}],"concepts":[{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.8295198082923889},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.6675037741661072},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6356490254402161},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5651302337646484},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5238844752311707},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.49612340331077576},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4562992751598358},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.42118677496910095},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.30512094497680664},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2622642517089844},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.134368896484375},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.12587258219718933},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.12571236491203308},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08751589059829712},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs6064764","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs6064764","pdf_url":"https://www.mdpi.com/2072-4292/6/6/4764/pdf?version=1403137401","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:94629bf9038d428c82c89626a28a1954","is_oa":true,"landing_page_url":"https://doaj.org/article/94629bf9038d428c82c89626a28a1954","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 6, Iss 6, Pp 4764-4779 (2014)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/6/6/4764/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs6064764","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 6; Issue 6; Pages: 4764-4779","raw_type":"Text"},{"id":"pmh:oai:repository.kulib.kyoto-u.ac.jp:2433/188912","is_oa":true,"landing_page_url":"http://hdl.handle.net/2433/188912","pdf_url":null,"source":{"id":"https://openalex.org/S4306401454","display_name":"Kyoto University Research Information Repository (Kyoto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I22299242","host_organization_name":"Kyoto University","host_organization_lineage":["https://openalex.org/I22299242"],"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":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.3390/rs6064764","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs6064764","pdf_url":"https://www.mdpi.com/2072-4292/6/6/4764/pdf?version=1403137401","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":[{"score":0.44999998807907104,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[{"id":"https://openalex.org/G3459562248","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4123097408","display_name":"Estimation of rice growth and yield by using remote sensing data and crop model","funder_award_id":"23780263","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4227499671","display_name":null,"funder_award_id":"KAKENHI Grant","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6068142684","display_name":null,"funder_award_id":"the Global COE Program","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7186829139","display_name":"\u9ad8\u6821\u904b\u52d5\u9078\u624b\u306e\u5fc3\u9670\u5f71\u50cf\u3068\u4f53\u529b\u306b\u3064\u3044\u3066(\u5973\u5b50\u9078\u624b\u306b\u3064\u3044\u3066)","funder_award_id":"378026","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7752643416","display_name":null,"funder_award_id":"Japan","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2165327731.pdf","grobid_xml":"https://content.openalex.org/works/W2165327731.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W61452412","https://openalex.org/W1492522293","https://openalex.org/W1964217023","https://openalex.org/W1988872612","https://openalex.org/W2010979673","https://openalex.org/W2011010318","https://openalex.org/W2012086085","https://openalex.org/W2012686349","https://openalex.org/W2024663969","https://openalex.org/W2043149863","https://openalex.org/W2043673805","https://openalex.org/W2043950171","https://openalex.org/W2057021477","https://openalex.org/W2058214432","https://openalex.org/W2063532465","https://openalex.org/W2089464686","https://openalex.org/W2094420085","https://openalex.org/W2094478602","https://openalex.org/W2097970470","https://openalex.org/W2113410727","https://openalex.org/W2118631019","https://openalex.org/W2133126846","https://openalex.org/W2138479649","https://openalex.org/W2161815745","https://openalex.org/W2167787089","https://openalex.org/W2167869331","https://openalex.org/W2511299359","https://openalex.org/W4249666222","https://openalex.org/W6725322021"],"related_works":["https://openalex.org/W4382519655","https://openalex.org/W2118750013","https://openalex.org/W4312759319","https://openalex.org/W2012613798","https://openalex.org/W2168301479","https://openalex.org/W2333823683","https://openalex.org/W2160952205","https://openalex.org/W4244230349","https://openalex.org/W2066559407","https://openalex.org/W4388344110"],"abstract_inverted_index":{"Leaf":[0],"area":[1],"index":[2,104,108],"(LAI)":[3],"is":[4,55,156],"among":[5],"the":[6,40,76,81,99,117,133,160,170,180],"most":[7],"important":[8],"variables":[9],"for":[10,38,60,87,176],"monitoring":[11,62],"crop":[12,34,64],"growth":[13,35],"and":[14,78,137],"estimating":[15,88,143],"grain":[16,43],"yield.":[17],"Previous":[18],"reports":[19],"have":[20],"shown":[21],"that":[22,167],"LAI":[23,50,90,138,144,178],"derived":[24,131,148],"from":[25,51,132,149],"remote":[26,52],"sensing":[27,53],"data":[28,54],"can":[29],"be":[30,58],"effectively":[31],"applied":[32],"in":[33],"simulation":[36],"models":[37],"improving":[39],"accuracy":[41],"of":[42,49,63,83,101,109,162],"yield":[44],"estimation.":[45],"Therefore,":[46],"precise":[47],"estimation":[48],"expected":[56],"to":[57,158,172],"useful":[59],"global":[61,79],"growth.":[65],"In":[66,97],"this":[67,164],"study,":[68],"as":[69,106],"a":[70,102],"preliminary":[71],"step":[72],"toward":[73],"application":[74],"at":[75,142,179],"regional":[77],"scale,":[80],"suitability":[82],"several":[84],"vegetation":[85,103,126,151],"indices":[86],"multi-year":[89,177],"were":[91,146],"validated":[92],"against":[93],"field":[94,181],"survey":[95],"data.":[96],"particular,":[98],"performance":[100],"known":[105],"time-series":[107],"plant":[110],"structure":[111],"(TIPS),":[112],"which":[113],"was":[114,119,139],"developed":[115],"by":[116,121],"authors,":[118],"evaluated":[120],"comparison":[122],"with":[123],"other":[124,150],"well-known":[125],"indices.":[127,152],"The":[128],"estimated":[129],"equation":[130],"relationship":[134],"between":[135],"TIPS":[136,168],"more":[140],"accurate":[141,174],"than":[145],"equations":[147],"Although":[153],"further":[154],"research":[155],"required":[157],"demonstrate":[159],"effectiveness":[161],"TIPS,":[163],"study":[165],"indicates":[166],"has":[169],"potential":[171],"provide":[173],"estimates":[175],"scale.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}