{"id":"https://openalex.org/W2560166038","doi":"https://doi.org/10.1109/tgrs.2016.2626307","title":"Assessment of Three Methods for Near Real-Time Estimation of Leaf Area Index From AVHRR Data","display_name":"Assessment of Three Methods for Near Real-Time Estimation of Leaf Area Index From AVHRR Data","publication_year":2016,"publication_date":"2016-12-07","ids":{"openalex":"https://openalex.org/W2560166038","doi":"https://doi.org/10.1109/tgrs.2016.2626307","mag":"2560166038"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2016.2626307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2016.2626307","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5008716335","display_name":"Sivasathivel Kandasamy","orcid":"https://orcid.org/0000-0001-9943-4535"},"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":true,"raw_author_name":"Sivasathivel Kandasamy","raw_affiliation_strings":["Canadian Center for Remote Sensing, Ottawa, ON, Canada","INRA, Avignon, France"],"affiliations":[{"raw_affiliation_string":"Canadian Center for Remote Sensing, Ottawa, ON, Canada","institution_ids":[]},{"raw_affiliation_string":"INRA, Avignon, France","institution_ids":["https://openalex.org/I198415970"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009347184","display_name":"Aleixandre Verger","orcid":"https://orcid.org/0000-0001-9374-1745"},"institutions":[{"id":"https://openalex.org/I4210129656","display_name":"Centre for Research on Ecology and Forestry Applications","ror":"https://ror.org/03abrgd14","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210129656","https://openalex.org/I4387153040"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Aleixandre Verger","raw_affiliation_strings":["CREAF, Cerdanyola del Valles, Catalonia, Spain"],"affiliations":[{"raw_affiliation_string":"CREAF, Cerdanyola del Valles, Catalonia, Spain","institution_ids":["https://openalex.org/I4210129656"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045314681","display_name":"Fr\u00e9d\u00e9ric Baret","orcid":"https://orcid.org/0000-0002-7655-8997"},"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":"Frederic Baret","raw_affiliation_strings":["INRA UMR114, EMMAH, Domaine Saint-Paul, Avignon, France"],"affiliations":[{"raw_affiliation_string":"INRA UMR114, EMMAH, Domaine Saint-Paul, Avignon, France","institution_ids":["https://openalex.org/I198415970"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008716335"],"corresponding_institution_ids":["https://openalex.org/I198415970"],"apc_list":null,"apc_paid":null,"fwci":0.6008,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75766692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"55","issue":"3","first_page":"1489","last_page":"1497"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9972000122070312,"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9965000152587891,"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/leaf-area-index","display_name":"Leaf area index","score":0.6302238702774048},{"id":"https://openalex.org/keywords/advanced-very-high-resolution-radiometer","display_name":"Advanced very-high-resolution radiometer","score":0.6113722324371338},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5682129859924316},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5601078867912292},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.531500518321991},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5240455269813538},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5132503509521484},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4671458899974823},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.43976637721061707},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.36489206552505493},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3079357147216797},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2688139081001282},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13913926482200623},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.09114024043083191}],"concepts":[{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.6302238702774048},{"id":"https://openalex.org/C2777480484","wikidata":"https://www.wikidata.org/wiki/Q300146","display_name":"Advanced very-high-resolution radiometer","level":3,"score":0.6113722324371338},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5682129859924316},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5601078867912292},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.531500518321991},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5240455269813538},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5132503509521484},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4671458899974823},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.43976637721061707},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.36489206552505493},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3079357147216797},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2688139081001282},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13913926482200623},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.09114024043083191},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2016.2626307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2016.2626307","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-01494739v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01494739","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing, 2017, 55 (3), pp.1489 - 1497. &#x27E8;10.1109/TGRS.2016.2626307&#x27E9;","raw_type":"Journal articles"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323910","display_name":"Institut National de la Recherche Agronomique","ror":"https://ror.org/01x3gbx83"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W61452412","https://openalex.org/W1676329549","https://openalex.org/W1967542684","https://openalex.org/W1968235624","https://openalex.org/W1972078955","https://openalex.org/W1979846179","https://openalex.org/W1987607942","https://openalex.org/W2002280144","https://openalex.org/W2007221293","https://openalex.org/W2013061102","https://openalex.org/W2017294598","https://openalex.org/W2018636632","https://openalex.org/W2019070464","https://openalex.org/W2020402473","https://openalex.org/W2021494835","https://openalex.org/W2035388338","https://openalex.org/W2037561217","https://openalex.org/W2048040783","https://openalex.org/W2049363103","https://openalex.org/W2055137896","https://openalex.org/W2058214432","https://openalex.org/W2068251166","https://openalex.org/W2072113769","https://openalex.org/W2072834400","https://openalex.org/W2113503197","https://openalex.org/W2119513445","https://openalex.org/W2123579413","https://openalex.org/W2131126673","https://openalex.org/W2137016389","https://openalex.org/W2138751033","https://openalex.org/W2145539952","https://openalex.org/W2148186985","https://openalex.org/W2151647593","https://openalex.org/W2153243519","https://openalex.org/W2156599833","https://openalex.org/W2164478730","https://openalex.org/W2166554126","https://openalex.org/W2911329779","https://openalex.org/W2997335114","https://openalex.org/W4211049957","https://openalex.org/W4211145850","https://openalex.org/W6637373199","https://openalex.org/W6771677220"],"related_works":["https://openalex.org/W4380150146","https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4283773154","https://openalex.org/W4383117943","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W2085630472","https://openalex.org/W1977098485","https://openalex.org/W2324646012"],"abstract_inverted_index":{"Near":[0],"real-time":[1],"(NRT)":[2],"estimation":[3,31,236],"of":[4,25,32,67,71,74,83,99,112,135,150,160,167,192,210,230,237],"leaf":[5],"area":[6],"index":[7],"(LAI)":[8],"is":[9,143,152,174],"essential":[10],"for":[11,28,158,234],"monitoring":[12],"rapid":[13],"surface":[14],"process":[15,39],"changes":[16],"within":[17],"operational":[18,228],"systems.":[19],"This":[20],"paper":[21],"assesses":[22],"the":[23,29,44,96,100,107,116,123,133,139,148,200,206,216,221,227,231,241],"performances":[24,128],"three":[26,101,124],"methods":[27,53,102,125],"NRT":[30,190,222,235],"LAI:":[33],"1)":[34],"Whittaker":[35],"(Whit);":[36],"2)":[37],"Gaussian":[38],"model":[40],"(GPM);":[41],"and":[42,48,79,85,109,196,219],"3)":[43],"climatological":[45],"temporal":[46],"smoothing":[47],"gap":[49],"filling":[50],"(CTSGF).":[51],"The":[52,119],"were":[54],"evaluated":[55],"using":[56],"Advanced":[57],"Very":[58],"High":[59],"Resolution":[60],"Radiometer":[61],"time":[62,117,141,217],"series":[63,142,218],"over":[64,138],"a":[65],"selection":[66],"BELMANIP2":[68],"sites":[69],"representative":[70],"seasonal":[72,202],"patterns":[73],"global":[75,108,242],"biome":[76],"vegetated":[77],"areas":[78],"under":[80],"varying":[81],"level":[82],"noise":[84],"missing":[86,113,136,188],"observations":[87,114],"(gaps).":[88],"A":[89],"simulation":[90],"experiment":[91],"was":[92],"designed":[93],"to":[94,176,184,212],"evaluate":[95],"predictive":[97],"capabilities":[98],"with":[103,187],"an":[104],"emphasis":[105],"on":[106],"local":[110],"structure":[111],"in":[115,215],"series.":[118],"results":[120],"show":[121],"that":[122],"achieve":[126],"similar":[127],"(RMSE":[129,180],"<;":[130,181],"0.4)":[131],"when":[132],"fraction":[134,159],"data":[137],"whole":[140],"lower":[144],"than":[145,154,163,170,194],"65%":[146,164],"or":[147,165],"length":[149],"gaps":[151,161,168,214],"smaller":[153],"10":[155,171],"days.":[156],"Conversely,":[157],"higher":[162],"periods":[166],"longer":[169],"days,":[172],"CTSGF":[173,198,232],"found":[175],"provide":[177],"more":[178],"accurate":[179],"0.4":[182],"up":[183],"60":[185],"days":[186],"data)":[189],"estimates":[191],"LAI":[193,211],"Whit":[195],"GPM.":[197],"uses":[199],"baseline":[201],"cycle":[203],"derived":[204],"from":[205],"interannual":[207],"median":[208],"values":[209],"fill":[213],"improve":[220],"projections.":[223],"Our":[224],"findings":[225],"support":[226],"use":[229],"algorithm":[233],"biophysical":[238],"products":[239],"at":[240],"scale.":[243]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}