{"id":"https://openalex.org/W2147108019","doi":"https://doi.org/10.1109/igarss.2009.5417822","title":"Assimilation of field measured LAI into crop growth model based on SCE-UA optimization algorithm","display_name":"Assimilation of field measured LAI into crop growth model based on SCE-UA optimization algorithm","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2147108019","doi":"https://doi.org/10.1109/igarss.2009.5417822","mag":"2147108019"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2009.5417822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2009.5417822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 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/A5112108215","display_name":"Jianqiang Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108914","display_name":"Institute of Agricultural Resources and Regional Planning","ror":"https://ror.org/01nrzdp21","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210108914","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiang Ren","raw_affiliation_strings":["Institute of Agricultural Resources & Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China","Key Laboratory of Resources Remote-Sensing & Digital Agriculture, Ministry of Agriculture, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Agricultural Resources & Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210108914","https://openalex.org/I4210138501"]},{"raw_affiliation_string":"Key Laboratory of Resources Remote-Sensing & Digital Agriculture, Ministry of Agriculture, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088038101","display_name":"Fushui Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108914","display_name":"Institute of Agricultural Resources and Regional Planning","ror":"https://ror.org/01nrzdp21","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210108914","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fushui Yu","raw_affiliation_strings":["Institute of Agricultural Resources & Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China","Key Laboratory of Resources Remote-Sensing & Digital Agriculture, Ministry of Agriculture, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Agricultural Resources & Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210108914","https://openalex.org/I4210138501"]},{"raw_affiliation_string":"Key Laboratory of Resources Remote-Sensing & Digital Agriculture, Ministry of Agriculture, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002703301","display_name":"Yunyan Du","orcid":null},"institutions":[{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunyan Du","raw_affiliation_strings":["The State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Science and Natural Resources Research, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Science and Natural Resources Research, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210160793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101600129","display_name":"Jun Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141476","display_name":"Institute of Tibetan Plateau Research","ror":"https://ror.org/03zn6c508","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210141476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Qin","raw_affiliation_strings":["Institute of Tibetan Plateau Research, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Tibetan Plateau Research, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210141476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102008756","display_name":"Zhongxin Chen","orcid":"https://orcid.org/0009-0004-2148-9367"},"institutions":[{"id":"https://openalex.org/I4210108914","display_name":"Institute of Agricultural Resources and Regional Planning","ror":"https://ror.org/01nrzdp21","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210108914","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongxin Chen","raw_affiliation_strings":["Institute of Agricultural Resources & Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China","Key Laboratory of Resources Remote-Sensing & Digital Agriculture, Ministry of Agriculture, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Agricultural Resources & Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210108914","https://openalex.org/I4210138501"]},{"raw_affiliation_string":"Key Laboratory of Resources Remote-Sensing & Digital Agriculture, Ministry of Agriculture, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.7159,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.98513302,"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":"III","last_page":"573"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9986000061035156,"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":0.9986000061035156,"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/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9979000091552734,"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/T12093","display_name":"Greenhouse Technology and Climate Control","score":0.9962000250816345,"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/sowing","display_name":"Sowing","score":0.7793747782707214},{"id":"https://openalex.org/keywords/yield","display_name":"Yield (engineering)","score":0.5820871591567993},{"id":"https://openalex.org/keywords/fertilizer","display_name":"Fertilizer","score":0.5482974648475647},{"id":"https://openalex.org/keywords/epic","display_name":"EPIC","score":0.5480291843414307},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5190789699554443},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4768056571483612},{"id":"https://openalex.org/keywords/data-assimilation","display_name":"Data assimilation","score":0.4764714241027832},{"id":"https://openalex.org/keywords/crop-yield","display_name":"Crop yield","score":0.4215920567512512},{"id":"https://openalex.org/keywords/crop","display_name":"Crop","score":0.4191695749759674},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.37590691447257996},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12778648734092712},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.12005633115768433},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10554823279380798}],"concepts":[{"id":"https://openalex.org/C168741863","wikidata":"https://www.wikidata.org/wiki/Q777671","display_name":"Sowing","level":2,"score":0.7793747782707214},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.5820871591567993},{"id":"https://openalex.org/C2780560099","wikidata":"https://www.wikidata.org/wiki/Q83323","display_name":"Fertilizer","level":2,"score":0.5482974648475647},{"id":"https://openalex.org/C115519274","wikidata":"https://www.wikidata.org/wiki/Q267903","display_name":"EPIC","level":2,"score":0.5480291843414307},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5190789699554443},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4768056571483612},{"id":"https://openalex.org/C24552861","wikidata":"https://www.wikidata.org/wiki/Q2670177","display_name":"Data assimilation","level":2,"score":0.4764714241027832},{"id":"https://openalex.org/C126343540","wikidata":"https://www.wikidata.org/wiki/Q889514","display_name":"Crop yield","level":2,"score":0.4215920567512512},{"id":"https://openalex.org/C137580998","wikidata":"https://www.wikidata.org/wiki/Q235352","display_name":"Crop","level":2,"score":0.4191695749759674},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.37590691447257996},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12778648734092712},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.12005633115768433},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10554823279380798},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2009.5417822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2009.5417822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1487923163","https://openalex.org/W1999310382","https://openalex.org/W2008183434","https://openalex.org/W2037846851","https://openalex.org/W2041371820","https://openalex.org/W2086342036","https://openalex.org/W2108582080","https://openalex.org/W2122315938","https://openalex.org/W2133837084","https://openalex.org/W2144224354","https://openalex.org/W2153598078"],"related_works":["https://openalex.org/W2382423801","https://openalex.org/W2361404876","https://openalex.org/W2372348061","https://openalex.org/W2351979363","https://openalex.org/W3178516037","https://openalex.org/W2392295380","https://openalex.org/W2370438650","https://openalex.org/W3045348154","https://openalex.org/W2385623625","https://openalex.org/W4383221279"],"abstract_inverted_index":{"Assimilating":[0],"external":[1,89],"data":[2,90],"into":[3,44,118,200],"a":[4,20],"crop":[5,12,184,201,211,215],"growth":[6,13,185,202,212],"model":[7,46,97,203],"to":[8,39,47,209],"improve":[9],"accuracy":[10,178],"of":[11,57,77,95,98,108,124,132,153,161,183],"monitoring":[14,186],"and":[15,52,73,103,128,149,187,213],"yield":[16,72,76,127,131,188,216],"estimation":[17,189],"has":[18],"been":[19],"research":[21],"focus":[22],"in":[23,60,63],"recent":[24],"years.":[25],"In":[26],"this":[27],"paper,":[28],"the":[29,84,93,119,139,159,166,181],"shuffled":[30],"complex":[31],"evolution":[32],"(SCE-UA)":[33],"global":[34],"optimization":[35,207],"algorithm":[36,208],"was":[37,80,111,135,156,169,217],"used":[38],"assimilate":[40],"field":[41,74,115,129,197],"measured":[42,75,116,130,198],"LAI":[43,117,199],"EPIC":[45,96,120],"simulate":[48],"yield,":[49,100],"sowing":[50,101,147,151],"date":[51,102,148,152],"nitrogen":[53,104,162],"fertilizer":[54,105,163],"application":[55,106,164],"amount":[56,107],"summer":[58,78,109,133,154],"maize":[59,79,110,134,155],"Huanghuaihai":[61],"Plain":[62],"China.":[64],"The":[65,122,142],"results":[66],"showed":[67],"that":[68,195],"RMSE":[69,123],"between":[70,125,145],"simulated":[71,126,146],"0.84":[81],"t":[82,137],"ha-1and":[83,138],"R2was":[85,140],"only":[86],"0.033":[87],"without":[88],"assimilation.":[91],"While":[92],"performances":[94],"simulating":[99],"better":[112],"through":[113],"assimilating":[114,196],"model.":[121],"0.60":[136],"0.5301.":[141],"relative":[143,167],"error":[144,168],"real":[150],"2.28%.":[157],"On":[158],"simulation":[160],"rate,":[165],"-6.00%":[170],"compared":[171],"with":[172],"local":[173],"statistical":[174],"data.":[175],"These":[176],"above":[177],"could":[179],"meet":[180],"need":[182],"at":[190],"regional":[191],"scale.":[192],"It":[193],"proved":[194],"based":[204],"on":[205],"SCE-UA":[206],"monitor":[210],"estimate":[214],"feasible.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-08-12T07:12:00.856984","created_date":"2025-10-10T00:00:00"}