{"id":"https://openalex.org/W1978596790","doi":"https://doi.org/10.1109/igarss.2010.5649108","title":"Leaf area index estimation from MODIS data using the ensemble Kalman smoother method","display_name":"Leaf area index estimation from MODIS data using the ensemble Kalman smoother method","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W1978596790","doi":"https://doi.org/10.1109/igarss.2010.5649108","mag":"1978596790"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2010.5649108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2010.5649108","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/A5030797455","display_name":"Huaan Jin","orcid":"https://orcid.org/0000-0002-1131-9768"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaan Jin","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, CAS, Beijing Key Laboratory of Remote Sensing Environment and Digital Cities, School of Geography and Remote Sensing Science, Beijing Normal University, Beijing, China","State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, CAS, China, 100875"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, CAS, Beijing Key Laboratory of Remote Sensing Environment and Digital Cities, School of Geography and Remote Sensing Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, CAS, China, 100875","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035656977","display_name":"Jindi Wang","orcid":"https://orcid.org/0000-0003-4962-4888"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jindi Wang","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, CAS, Beijing Key Laboratory of Remote Sensing Environment and Digital Cities, School of Geography and Remote Sensing Science, Beijing Normal University, Beijing, China","State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, CAS, China, 100875"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, CAS, Beijing Key Laboratory of Remote Sensing Environment and Digital Cities, School of Geography and Remote Sensing Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, CAS, China, 100875","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063976189","display_name":"Zhiqiang Xiao","orcid":"https://orcid.org/0000-0001-8245-6762"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Xiao","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, CAS, Beijing Key Laboratory of Remote Sensing Environment and Digital Cities, School of Geography and Remote Sensing Science, Beijing Normal University, Beijing, China","State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, CAS, China, 100875"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, CAS, Beijing Key Laboratory of Remote Sensing Environment and Digital Cities, School of Geography and Remote Sensing Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, CAS, China, 100875","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070652822","display_name":"Fu Zhuo","orcid":"https://orcid.org/0000-0001-7793-7115"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Fu","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, CAS, Beijing Normal University, Beijing, China","State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, CAS, China, 100875"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, CAS, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, CAS, China, 100875","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"260","last_page":"263"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998000264167786,"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":0.9998000264167786,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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":0.996999979019165,"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/leaf-area-index","display_name":"Leaf area index","score":0.8695720434188843},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6644771695137024},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.632398784160614},{"id":"https://openalex.org/keywords/data-assimilation","display_name":"Data assimilation","score":0.6273188591003418},{"id":"https://openalex.org/keywords/atmospheric-radiative-transfer-codes","display_name":"Atmospheric radiative transfer codes","score":0.5068305134773254},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.45090925693511963},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.44082891941070557},{"id":"https://openalex.org/keywords/canopy","display_name":"Canopy","score":0.4152362048625946},{"id":"https://openalex.org/keywords/radiative-transfer","display_name":"Radiative transfer","score":0.39755532145500183},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3587825298309326},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3263309895992279},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.2566296458244324},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.17112788558006287},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09442806243896484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09077051281929016}],"concepts":[{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.8695720434188843},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6644771695137024},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.632398784160614},{"id":"https://openalex.org/C24552861","wikidata":"https://www.wikidata.org/wiki/Q2670177","display_name":"Data assimilation","level":2,"score":0.6273188591003418},{"id":"https://openalex.org/C199390426","wikidata":"https://www.wikidata.org/wiki/Q2353151","display_name":"Atmospheric radiative transfer codes","level":3,"score":0.5068305134773254},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.45090925693511963},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.44082891941070557},{"id":"https://openalex.org/C101000010","wikidata":"https://www.wikidata.org/wiki/Q5033434","display_name":"Canopy","level":2,"score":0.4152362048625946},{"id":"https://openalex.org/C74902906","wikidata":"https://www.wikidata.org/wiki/Q1190858","display_name":"Radiative transfer","level":2,"score":0.39755532145500183},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3587825298309326},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3263309895992279},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.2566296458244324},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.17112788558006287},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09442806243896484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09077051281929016},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2010.5649108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2010.5649108","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":12,"referenced_works":["https://openalex.org/W1887120795","https://openalex.org/W2009104157","https://openalex.org/W2020402473","https://openalex.org/W2038111987","https://openalex.org/W2109606373","https://openalex.org/W2111377196","https://openalex.org/W2128931495","https://openalex.org/W2144615603","https://openalex.org/W2157098139","https://openalex.org/W2170317715","https://openalex.org/W2482630804","https://openalex.org/W2510000870"],"related_works":["https://openalex.org/W4212971657","https://openalex.org/W1949985943","https://openalex.org/W2089385108","https://openalex.org/W2363380593","https://openalex.org/W2377052976","https://openalex.org/W2991541038","https://openalex.org/W2393565244","https://openalex.org/W2613759229","https://openalex.org/W2074506313","https://openalex.org/W1988097696"],"abstract_inverted_index":{"The":[0,16,49,68],"new":[1],"data":[2,14,56],"assimilation":[3],"algorithm":[4,73],"is":[5,22,36,74],"developed":[6],"to":[7,38,64,76],"estimate":[8,39],"LAI":[9,27,81,95,110],"from":[10,46],"time-series":[11],"MODIS":[12,53,109],"reflectance":[13,55],"(MOD09A1).":[15],"canopy":[17],"radiative":[18],"transfer":[19],"model":[20,45],"(ACRM)":[21],"coupled":[23,44],"with":[24,88],"an":[25],"empirical":[26],"dynamic":[28],"model,":[29],"and":[30,100],"the":[31,40,43,72,78,89,93,108],"ensemble":[32],"Kalman":[33],"smoother":[34],"(EnKS)":[35],"used":[37],"parameters":[41],"of":[42,83],"MOD09A1":[47],"data.":[48],"preliminary":[50],"analysis":[51],"using":[52],"surface":[54],"at":[57],"some":[58],"AmeriFlux":[59],"network":[60],"sites":[61],"was":[62],"performed":[63],"validate":[65],"this":[66],"method.":[67],"results":[69],"show":[70],"that":[71],"helpful":[75],"produce":[77],"temporally":[79],"continuous":[80],"estimation":[82],"cropland":[84],"efficiently.":[85],"By":[86],"comparing":[87],"field":[90],"measured":[91],"LAI,":[92],"retrieved":[94],"has":[96],"been":[97],"significantly":[98],"improved":[99],"shown":[101],"more":[102],"smooth":[103],"in":[104],"time":[105],"series":[106],"than":[107],"product.":[111]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
