{"id":"https://openalex.org/W4361767145","doi":"https://doi.org/10.1109/jstars.2023.3262643","title":"Improving Leaf Area Index Estimation With Chlorophyll Insensitive Multispectral Red-Edge Vegetation Indices","display_name":"Improving Leaf Area Index Estimation With Chlorophyll Insensitive Multispectral Red-Edge Vegetation Indices","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4361767145","doi":"https://doi.org/10.1109/jstars.2023.3262643"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2023.3262643","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3262643","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10083177.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10083177.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102791143","display_name":"Yuanheng Sun","orcid":"https://orcid.org/0000-0002-8768-9132"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanheng Sun","raw_affiliation_strings":["Environmental Information Institute, Navigation College, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-8768-9132","affiliations":[{"raw_affiliation_string":"Environmental Information Institute, Navigation College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075901687","display_name":"Binyu Wang","orcid":"https://orcid.org/0000-0002-9471-9256"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binyu Wang","raw_affiliation_strings":["Environmental Information Institute, Navigation College, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Environmental Information Institute, Navigation College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zhaoxu Zhang","orcid":"https://orcid.org/0000-0002-5453-8370"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoxu Zhang","raw_affiliation_strings":["School of Environmental Science and Engineering, Tiangong University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-5453-8370","affiliations":[{"raw_affiliation_string":"School of Environmental Science and Engineering, Tiangong University, Tianjin, China","institution_ids":["https://openalex.org/I198091727"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":7.2619,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.97579731,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"16","issue":null,"first_page":"3568","last_page":"3582"},"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9984999895095825,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9941999912261963,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/red-edge","display_name":"Red edge","score":0.902225911617279},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.8656877279281616},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7733287811279297},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.7278785705566406},{"id":"https://openalex.org/keywords/canopy","display_name":"Canopy","score":0.5517499446868896},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.5272946357727051},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5212405323982239},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.448835551738739},{"id":"https://openalex.org/keywords/chlorophyll","display_name":"Chlorophyll","score":0.4244117736816406},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.4197620153427124},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.39306941628456116},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.1793932318687439},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16906490921974182},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06277546286582947}],"concepts":[{"id":"https://openalex.org/C2776388979","wikidata":"https://www.wikidata.org/wiki/Q3422640","display_name":"Red edge","level":3,"score":0.902225911617279},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.8656877279281616},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7733287811279297},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7278785705566406},{"id":"https://openalex.org/C101000010","wikidata":"https://www.wikidata.org/wiki/Q5033434","display_name":"Canopy","level":2,"score":0.5517499446868896},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.5272946357727051},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5212405323982239},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.448835551738739},{"id":"https://openalex.org/C2776373379","wikidata":"https://www.wikidata.org/wiki/Q43177","display_name":"Chlorophyll","level":2,"score":0.4244117736816406},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.4197620153427124},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.39306941628456116},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.1793932318687439},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16906490921974182},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06277546286582947},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"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":2,"locations":[{"id":"doi:10.1109/jstars.2023.3262643","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3262643","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10083177.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:eb855276f76841e791b0f7313315b398","is_oa":true,"landing_page_url":"https://doaj.org/article/eb855276f76841e791b0f7313315b398","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 3568-3582 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2023.3262643","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3262643","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10083177.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G5668200100","display_name":null,"funder_award_id":"3132022136","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4361767145.pdf","grobid_xml":"https://content.openalex.org/works/W4361767145.grobid-xml"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W248389711","https://openalex.org/W633320881","https://openalex.org/W1969568499","https://openalex.org/W1974635621","https://openalex.org/W1978815957","https://openalex.org/W1987097445","https://openalex.org/W2013061102","https://openalex.org/W2014955600","https://openalex.org/W2024925469","https://openalex.org/W2038137144","https://openalex.org/W2045277891","https://openalex.org/W2052700773","https://openalex.org/W2056435747","https://openalex.org/W2058214432","https://openalex.org/W2058312673","https://openalex.org/W2060426168","https://openalex.org/W2079842406","https://openalex.org/W2080441468","https://openalex.org/W2089441588","https://openalex.org/W2094273004","https://openalex.org/W2101010747","https://openalex.org/W2121025745","https://openalex.org/W2137608957","https://openalex.org/W2147205449","https://openalex.org/W2151647593","https://openalex.org/W2153243519","https://openalex.org/W2282742555","https://openalex.org/W2336426693","https://openalex.org/W2345175558","https://openalex.org/W2515107996","https://openalex.org/W2596051487","https://openalex.org/W2600798029","https://openalex.org/W2603028033","https://openalex.org/W2607548337","https://openalex.org/W2609044008","https://openalex.org/W2725897987","https://openalex.org/W2767189848","https://openalex.org/W2781743904","https://openalex.org/W2782772130","https://openalex.org/W2795121812","https://openalex.org/W2807837665","https://openalex.org/W2887093216","https://openalex.org/W2891044352","https://openalex.org/W2903772126","https://openalex.org/W2907047183","https://openalex.org/W2912077313","https://openalex.org/W2943149585","https://openalex.org/W2943316090","https://openalex.org/W2947494554","https://openalex.org/W2971653617","https://openalex.org/W2976696463","https://openalex.org/W2991848483","https://openalex.org/W2997113988","https://openalex.org/W3038890942","https://openalex.org/W3075397214","https://openalex.org/W3096801664","https://openalex.org/W3123544374","https://openalex.org/W3127010833","https://openalex.org/W3128181526","https://openalex.org/W3213775452","https://openalex.org/W4221029042","https://openalex.org/W4241793634","https://openalex.org/W4281654105","https://openalex.org/W4286299948","https://openalex.org/W6636950212"],"related_works":["https://openalex.org/W1987483041","https://openalex.org/W2988577871","https://openalex.org/W4205174160","https://openalex.org/W2128126485","https://openalex.org/W4361767145","https://openalex.org/W4382563209","https://openalex.org/W2124952510","https://openalex.org/W2018850895","https://openalex.org/W2022304901","https://openalex.org/W4391030644"],"abstract_inverted_index":{"As":[0],"an":[1,41],"essential":[2],"vegetation":[3,23,33],"biophysical":[4],"trait":[5],"that":[6,184],"determines":[7],"the":[8,50,87,100,113,140,145,185,197,255],"plant's":[9],"structure":[10],"and":[11,25,55,63,102,123,131,171,211,241],"photosynthetic":[12],"capacity,":[13],"characterizing":[14],"of":[15,53,73,92,119],"leaf":[16,56,93],"area":[17],"index":[18],"(LAI)":[19],"is":[20,40,234],"important":[21],"for":[22,44,128,209,219,236],"growth":[24],"health":[26],"monitoring.":[27],"The":[28,76,117,151,175],"empirical":[29],"models":[30],"based":[31,138,178],"on":[32,60,139,179],"indices":[34],"(VIs)":[35],"from":[36],"remote":[37],"sensing":[38],"images":[39,105],"effective":[42],"method":[43],"deriving":[45],"LAI.":[46],"However,":[47],"due":[48],"to":[49,85,111,125,143,247],"coupled":[51],"impacts":[52],"LAI":[54,74,114,121,167,181,193,239,251],"chlorophyll":[57,94],"content":[58],"(LCC)":[59],"canopy":[61,169],"reflectance":[62,80],"saturation":[64],"effect,":[65],"most":[66],"VIs":[67,97,149,153,188],"cannot":[68],"achieve":[69,249],"a":[70,90,244],"good":[71],"accuracy":[72,195],"estimation.":[75],"remotely":[77],"sensed":[78],"red-edge":[79,96,133,187,229],"can":[81,189],"provide":[82],"valuable":[83],"information":[84],"delineate":[86],"LAI,":[88],"therefore":[89],"series":[91],"insensitive":[95],"by":[98,253],"using":[99,254],"Sentinel-2":[101,130,210,256],"GF-6":[103,132,258],"multispectral":[104],"are":[106,135,154],"developed":[107],"in":[108,148,157],"this":[109],"work":[110,226],"improve":[112,191],"estimation":[115,194],"accuracy.":[116],"potentials":[118],"reflecting":[120],"variations":[122],"sensitivity":[124],"LCC":[126],"changes":[127],"each":[129],"band":[134,147],"comprehensively":[136],"analyzed":[137],"PROSAIL":[141,162],"model":[142],"select":[144],"optimal":[146],"design.":[150],"proposed":[152,186],"then":[155],"evaluated":[156],"multiple":[158],"ways,":[159],"including":[160],"with":[161,168,196,231],"simulated":[163],"datasets,":[164],"ground":[165],"measured":[166],"spectra":[170],"real":[172],"satellite":[173],"images.":[174,259],"evaluation":[176],"results":[177],"field":[180],"measurements":[182],"indicate":[183],"effectively":[190],"crop":[192],"best":[198],"regression":[199],"coefficient":[200],"(":[201],"<italic":[202,212],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[203,206,213,216],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">R</i>":[204,214],"<sup":[205,215],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[207,217],"=0.81":[208],"=0.65":[218],"GF-6)":[220],"among":[221],"all":[222],"comparative":[223],"VIs.":[224],"Our":[225],"showcases":[227],"incorporating":[228],"bands":[230],"suitable":[232],"formula":[233],"promising":[235],"improving":[237],"VI-based":[238],"retrieval,":[240],"they":[242],"offer":[243],"practicable":[245],"solution":[246],"fast":[248],"decameter":[250],"maps":[252],"or":[257]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}