{"id":"https://openalex.org/W2901761207","doi":"https://doi.org/10.1109/igarss.2018.8518373","title":"A Method for Multiscale Estimation of Leaf Area Index from Time-Series Multi-Source Remote Sensing Data","display_name":"A Method for Multiscale Estimation of Leaf Area Index from Time-Series Multi-Source Remote Sensing Data","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2901761207","doi":"https://doi.org/10.1109/igarss.2018.8518373","mag":"2901761207"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8518373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8518373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 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/A5091822202","display_name":"Xuchen Zhan","orcid":"https://orcid.org/0000-0003-1204-7431"},"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":"Xuchen Zhan","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing, China","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, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102751084","display_name":"Jingyi Jiang","orcid":"https://orcid.org/0000-0002-9919-7223"},"institutions":[{"id":"https://openalex.org/I198415970","display_name":"Universit\u00e9 d'Avignon et des Pays de Vaucluse","ror":"https://ror.org/00mfpxb84","country_code":"FR","type":"education","lineage":["https://openalex.org/I198415970"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jingyi Jiang","raw_affiliation_strings":["EMMAH, UAPV, Avignon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EMMAH, UAPV, Avignon, France","institution_ids":["https://openalex.org/I198415970"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"3465","last_page":"3468"},"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":0.9987999796867371,"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/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9958000183105469,"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":0.775886058807373},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7664119601249695},{"id":"https://openalex.org/keywords/classification-of-discontinuities","display_name":"Classification of discontinuities","score":0.5370015501976013},{"id":"https://openalex.org/keywords/data-assimilation","display_name":"Data assimilation","score":0.5114256739616394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4864773452281952},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4640810489654541},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.45587652921676636},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.24204272031784058},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16478314995765686},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12290328741073608},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1143089234828949}],"concepts":[{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.775886058807373},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7664119601249695},{"id":"https://openalex.org/C15627037","wikidata":"https://www.wikidata.org/wiki/Q541961","display_name":"Classification of discontinuities","level":2,"score":0.5370015501976013},{"id":"https://openalex.org/C24552861","wikidata":"https://www.wikidata.org/wiki/Q2670177","display_name":"Data assimilation","level":2,"score":0.5114256739616394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4864773452281952},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4640810489654541},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.45587652921676636},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.24204272031784058},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16478314995765686},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12290328741073608},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1143089234828949},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2018.8518373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8518373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 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":5,"referenced_works":["https://openalex.org/W1990294481","https://openalex.org/W2038111987","https://openalex.org/W2139549194","https://openalex.org/W2151647593","https://openalex.org/W2295133279"],"related_works":["https://openalex.org/W1972096828","https://openalex.org/W2529137940","https://openalex.org/W4302048708","https://openalex.org/W2359913921","https://openalex.org/W1595194509","https://openalex.org/W4239740410","https://openalex.org/W1996195943","https://openalex.org/W4205298958","https://openalex.org/W2486440955","https://openalex.org/W2323190011"],"abstract_inverted_index":{"Satellite":[0],"observations":[1],"are":[2,29,166],"affected":[3],"by":[4,38],"clouds,":[5],"aerosol":[6],"and":[7,14,161],"other":[8],"factors,":[9],"resulting":[10],"in":[11,17,95,167],"temporal":[12],"discontinuities":[13],"spatial":[15,64,74,123,159],"incompleteness":[16],"leaf":[18],"area":[19],"index":[20],"(LAI)":[21],"products.":[22],"Furthermore,":[23],"the":[24,90,101,106,129,135,162,171],"currently":[25],"available":[26],"LAI":[27,61,94,104,130,156,164],"products":[28],"generally":[30],"retrieved":[31,163],"from":[32,66,105],"mono-temporal":[33],"remote":[34,69],"sensing":[35,70],"data":[36,54,71,120],"acquired":[37],"a":[39,52],"single":[40],"sensor,":[41],"without":[42],"comprehensive":[43],"utilization":[44],"of":[45,93,103,134],"multi-source":[46,68],"satellite":[47,117],"observations.":[48],"This":[49],"paper":[50],"proposes":[51],"new":[53,150],"assimilation":[55],"method":[56,151],"to":[57,88,111,127],"retrieve":[58],"temporally":[59,154],"continuous":[60,155],"at":[62,131,157],"different":[63,73,122,158],"scales":[65,160],"time-series":[67],"with":[72,121,170],"resolutions":[75,124],"using":[76,137],"an":[77,113,138],"ensemble":[78,139],"multiscale":[79,140],"tree":[80],"model":[81,85,108],"(EnMsT).":[82],"A":[83],"dynamic":[84,107],"was":[86,109],"constructed":[87],"describe":[89],"change":[91],"rule":[92],"time":[96],"series.":[97],"At":[98],"each":[99,132],"time-step,":[100],"forecast":[102],"used":[110,126],"construct":[112],"initial":[114],"EnMsT.":[115],"Then,":[116],"surface":[118],"reflectance":[119],"were":[125],"update":[128],"node":[133],"EnMsT":[136],"filter":[141],"(EnMsF)":[142],"technique.":[143],"The":[144],"final":[145],"results":[146],"demonstrate":[147],"that":[148],"this":[149],"can":[152],"estimate":[153],"values":[165],"good":[168],"agreement":[169],"field":[172],"measurements.":[173]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
