{"id":"https://openalex.org/W2766425799","doi":"https://doi.org/10.1109/whispers.2015.8075437","title":"Evaluating different vegetation index for estimating lai of winter wheat using hyperspectral remote sensing data","display_name":"Evaluating different vegetation index for estimating lai of winter wheat using hyperspectral remote sensing data","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W2766425799","doi":"https://doi.org/10.1109/whispers.2015.8075437","mag":"2766425799"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2015.8075437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2015.8075437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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/A5051334209","display_name":"Jingguo Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"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"]},{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Jingguo","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Remote Sensing Applications, Beijing, china","Henan Polytechnic University, Jiaozuo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Remote Sensing Applications, Beijing, china","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389989","display_name":"Shudong Wang","orcid":"https://orcid.org/0009-0004-4339-9768"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"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":"Wang Shudong","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Remote Sensing Applications, Beijing, china"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Remote Sensing Applications, Beijing, china","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103859675","display_name":"Zhang Lifu","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"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":"Zhang Lifu","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Remote Sensing Applications, Beijing, china"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Remote Sensing Applications, Beijing, china","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087094446","display_name":"Taixia Wu","orcid":"https://orcid.org/0000-0002-8706-9742"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"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":"Wu Taixia","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Remote Sensing Applications, Beijing, china"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Remote Sensing Applications, Beijing, china","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":null,"display_name":"She Xiaojun","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"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":"She Xiaojun","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Remote Sensing Applications, Beijing, china"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Remote Sensing Applications, Beijing, china","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210166112"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jiang Hailing","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"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":"Jiang Hailing","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Remote Sensing Applications, Beijing, china","Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Remote Sensing Applications, Beijing, china","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.36850248,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"33","issue":null,"first_page":"1","last_page":"4"},"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":0.9987999796867371,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9883000254631042,"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":0.8730599880218506},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7349013090133667},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.6473494172096252},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6205925941467285},{"id":"https://openalex.org/keywords/vegetation-index","display_name":"Vegetation Index","score":0.5669663548469543},{"id":"https://openalex.org/keywords/canopy","display_name":"Canopy","score":0.5125226974487305},{"id":"https://openalex.org/keywords/enhanced-vegetation-index","display_name":"Enhanced vegetation index","score":0.4782677888870239},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4588404893875122},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3534870445728302},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.3364351689815521},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.14316967129707336},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11007627844810486}],"concepts":[{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.8730599880218506},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7349013090133667},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.6473494172096252},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6205925941467285},{"id":"https://openalex.org/C2780376076","wikidata":"https://www.wikidata.org/wiki/Q1499458","display_name":"Vegetation Index","level":4,"score":0.5669663548469543},{"id":"https://openalex.org/C101000010","wikidata":"https://www.wikidata.org/wiki/Q5033434","display_name":"Canopy","level":2,"score":0.5125226974487305},{"id":"https://openalex.org/C78869512","wikidata":"https://www.wikidata.org/wiki/Q5378810","display_name":"Enhanced vegetation index","level":5,"score":0.4782677888870239},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4588404893875122},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3534870445728302},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.3364351689815521},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.14316967129707336},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11007627844810486},{"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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2015.8075437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2015.8075437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W571150846","https://openalex.org/W1485678107","https://openalex.org/W1964217023","https://openalex.org/W2000102737","https://openalex.org/W2000613913","https://openalex.org/W2012686349","https://openalex.org/W2056352756","https://openalex.org/W2066724429","https://openalex.org/W2089441588","https://openalex.org/W2111947859","https://openalex.org/W2161815745","https://openalex.org/W2167787089","https://openalex.org/W2171979590","https://openalex.org/W2989983865","https://openalex.org/W4233367343","https://openalex.org/W6636950212"],"related_works":["https://openalex.org/W3207384893","https://openalex.org/W3207046288","https://openalex.org/W4283156607","https://openalex.org/W2374167006","https://openalex.org/W4285330809","https://openalex.org/W4214921029","https://openalex.org/W4313432081","https://openalex.org/W2012686349","https://openalex.org/W2969795594","https://openalex.org/W4384939875"],"abstract_inverted_index":{"Leaf":[0],"area":[1,49],"index":[2,43,55,132],"(LAI)":[3],"is":[4,129],"an":[5],"important":[6],"parameter":[7,58],"which":[8,170,191],"always":[9],"be":[10],"used":[11,83,160],"to":[12,37,84,93,161,189],"estimate":[13],"vegetation":[14,30,39,42,54,202],"cover":[15],"and":[16,21,29,50,77,88,113,121,147,151,184],"forecast":[17],"the":[18,24,52,86,108,130,139,172,178,185,193,199],"crop":[19],"growth":[20],"yield.":[22],"Currently":[23],"statistic":[25],"relationship":[26],"between":[27,111,181],"LAI":[28,46,66,89,114,163,183],"indices":[31],"(VI)":[32],"has":[33,47],"been":[34],"widely":[35],"applied":[36],"predict":[38],"LAI.":[40,203],"Each":[41],"for":[44,64],"inversing":[45],"applicable":[48],"conditions,":[51],"best":[53,131,140],"or":[56],"spectral":[57,119],"of":[59,67,99,145,195,201],"them":[60],"were":[61,82,115,159],"not":[62],"sure":[63],"estimating":[65],"winter":[68],"wheat":[69],"in":[70,95,97,105,167,198],"China.":[71],"In":[72],"this":[73,106,168],"paper,":[74,169],"PSR-3500":[75],"spectrometer":[76],"LAI-2200":[78],"plant":[79],"canopy":[80],"analyser":[81],"acquire":[85],"spectrum":[87],"synchronously":[90],"from":[91],"April":[92],"June":[94],"2013,":[96],"xiaotangshan":[98],"Beijing.":[100],"After":[101],"calculating":[102],"VIs":[103,112,158,197],"selected":[104],"study,":[107],"correlation":[109],"relationships":[110],"established":[116,171],"under":[117],"different":[118],"widths":[120],"center":[122,143],"wavelengths.":[123],"The":[124,154],"results":[125],"show":[126],"that":[127,156],"DVI":[128],"with":[133,142],"R2of":[134],"0.7.":[135],"3nm":[136],"was":[137,149,165],"verified":[138],"bandwidth":[141],"wavelength":[144],"NIR":[146],"red":[148],"815nm":[150],"746nm,":[152],"respectively.":[153],"method":[155],"multiple":[157,196],"inverse":[162],"synergistically,":[164],"proposed":[166],"optimal":[173],"linear":[174],"regression":[175],"model.":[176],"Finally,":[177],"R2we":[179],"got":[180],"prediction":[182],"measured":[186],"value":[187],"reached":[188],"0.9235,":[190],"reaffirmed":[192],"feasibility":[194],"estimation":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}