{"id":"https://openalex.org/W4312234829","doi":"https://doi.org/10.1109/tgrs.2022.3219981","title":"A Hybrid Leaf Area Index Estimation Method of <i>Dioscorea Polystachya</i> Turczaninow Using Sentinel-2 Vegetation Indices","display_name":"A Hybrid Leaf Area Index Estimation Method of <i>Dioscorea Polystachya</i> Turczaninow Using Sentinel-2 Vegetation Indices","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312234829","doi":"https://doi.org/10.1109/tgrs.2022.3219981"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3219981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3219981","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/A5038402341","display_name":"Zhulin Chen","orcid":"https://orcid.org/0000-0002-1272-2532"},"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":"Zhulin Chen","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science and the Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1272-2532","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science and the Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047492780","display_name":"Tingting Shi","orcid":"https://orcid.org/0000-0002-9852-6961"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Shi","raw_affiliation_strings":["State Key Laboratory Breeding Base of Dao-Di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China","National Resource Center for Chinese Materia Medical, State Key Laboratory Breeding Base of Dao-di Herbs, China Academy of Chinese Medical Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory Breeding Base of Dao-Di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433"]},{"raw_affiliation_string":"National Resource Center for Chinese Materia Medical, State Key Laboratory Breeding Base of Dao-di Herbs, China Academy of Chinese Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115592812","display_name":"Xiaobo Zhang","orcid":"https://orcid.org/0009-0005-0532-6100"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobo Zhang","raw_affiliation_strings":["State Key Laboratory Breeding Base of Dao-Di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China","National Resource Center for Chinese Materia Medical, State Key Laboratory Breeding Base of Dao-di Herbs, China Academy of Chinese Medical Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory Breeding Base of Dao-Di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433"]},{"raw_affiliation_string":"National Resource Center for Chinese Materia Medical, State Key Laboratory Breeding Base of Dao-di Herbs, China Academy of Chinese Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063493372","display_name":"Kun Jia","orcid":"https://orcid.org/0000-0001-8586-4243"},"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":"Kun Jia","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science and the Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8586-4243","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science and the Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029107736","display_name":"Haiying Jiang","orcid":"https://orcid.org/0000-0001-8160-9480"},"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":"Haiying Jiang","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science and the Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8160-9480","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science and the Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022724601","display_name":"Bo Yuan","orcid":"https://orcid.org/0000-0002-8424-586X"},"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":"Bo Yuan","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science and the Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science and the Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.167,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.81347248,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9993000030517578,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9991999864578247,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6538896560668945},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5154045820236206},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.4873808026313782},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4448956549167633},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4204171895980835},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4126235246658325},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.36043235659599304},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32707446813583374}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6538896560668945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5154045820236206},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.4873808026313782},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4448956549167633},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4204171895980835},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4126235246658325},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36043235659599304},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32707446813583374},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3219981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3219981","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G182209115","display_name":null,"funder_award_id":"42171318","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1921174079","display_name":null,"funder_award_id":"82003901","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G355998513","display_name":null,"funder_award_id":"CI2021A03901","funder_id":"https://openalex.org/F4320323486","funder_display_name":"China Academy of Traditional Chinese Medicine"},{"id":"https://openalex.org/G8153174526","display_name":null,"funder_award_id":"CI2021A03902","funder_id":"https://openalex.org/F4320323486","funder_display_name":"China Academy of Traditional Chinese Medicine"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323486","display_name":"China Academy of Traditional Chinese Medicine","ror":"https://ror.org/042pgcv68"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W248389711","https://openalex.org/W1483386591","https://openalex.org/W1678356000","https://openalex.org/W1964217023","https://openalex.org/W1965696795","https://openalex.org/W1984066959","https://openalex.org/W1985555755","https://openalex.org/W1988872612","https://openalex.org/W1991929991","https://openalex.org/W1998842586","https://openalex.org/W2000102737","https://openalex.org/W2014915963","https://openalex.org/W2016991841","https://openalex.org/W2041769309","https://openalex.org/W2049556619","https://openalex.org/W2051056351","https://openalex.org/W2052700773","https://openalex.org/W2055891469","https://openalex.org/W2056352756","https://openalex.org/W2056435747","https://openalex.org/W2061044471","https://openalex.org/W2063623478","https://openalex.org/W2069447127","https://openalex.org/W2069928051","https://openalex.org/W2073696851","https://openalex.org/W2077707413","https://openalex.org/W2086920909","https://openalex.org/W2094023061","https://openalex.org/W2094634678","https://openalex.org/W2094677081","https://openalex.org/W2121025745","https://openalex.org/W2125230412","https://openalex.org/W2128438912","https://openalex.org/W2132196015","https://openalex.org/W2135046866","https://openalex.org/W2137608957","https://openalex.org/W2159961845","https://openalex.org/W2161815745","https://openalex.org/W2166312616","https://openalex.org/W2166516660","https://openalex.org/W2285717070","https://openalex.org/W2344681634","https://openalex.org/W2603821060","https://openalex.org/W2610219179","https://openalex.org/W2611743072","https://openalex.org/W2621112468","https://openalex.org/W2767189848","https://openalex.org/W2771841295","https://openalex.org/W2796099061","https://openalex.org/W2892497409","https://openalex.org/W2903772126","https://openalex.org/W2907047183","https://openalex.org/W2913846004","https://openalex.org/W2938239749","https://openalex.org/W2943149585","https://openalex.org/W2964087232","https://openalex.org/W2971650426","https://openalex.org/W2976696463","https://openalex.org/W2980670288","https://openalex.org/W2989983865","https://openalex.org/W2995363336","https://openalex.org/W3011511010","https://openalex.org/W3038890942","https://openalex.org/W3116545101","https://openalex.org/W3135656548","https://openalex.org/W3135916744","https://openalex.org/W3160661859","https://openalex.org/W3181658859","https://openalex.org/W3185763115","https://openalex.org/W3209569269","https://openalex.org/W4220831280","https://openalex.org/W4248268077","https://openalex.org/W4252208101","https://openalex.org/W6799163774"],"related_works":["https://openalex.org/W2380784125","https://openalex.org/W1997711767","https://openalex.org/W3174196512","https://openalex.org/W2526967658","https://openalex.org/W16836940","https://openalex.org/W1933452047","https://openalex.org/W82982097","https://openalex.org/W2554066229","https://openalex.org/W91471182","https://openalex.org/W4224076313"],"abstract_inverted_index":{"Dioscorea":[0],"polystachyaTurczaninow":[1,60,149],"is":[2,16,38,41],"an":[3],"herbaceous":[4],"vine":[5],"plant":[6],"distributed":[7],"in":[8],"China,":[9],"and":[10,25,65,80,91,123,126,130,173,196],"its":[11,35],"rhizome":[12],"named":[13],"Chinese":[14,20,44,210],"yam":[15,45,211],"a":[17,29,52,62,106],"famous":[18],"traditional":[19],"medicine":[21],"for":[22,43,170,208],"treating":[23],"diabetes":[24],"other":[26],"diseases.":[27],"However,":[28],"large":[30],"region":[31],"monitoring":[32],"method":[33,64,202],"of":[34,194,198],"growth":[36],"status":[37],"lacking,":[39],"which":[40,188],"important":[42,102],"yield":[46,212],"estimation.":[47],"Therefore,":[48],"this":[49],"study":[50],"proposed":[51,201],"leaf":[53],"area":[54],"index":[55],"(LAI)":[56],"estimation":[57,140,146,177],"algorithm":[58,110],"forDioscorea":[59,148],"using":[61,183],"hybrid":[63,107],"Sentinel-2":[66],"vegetation":[67,186],"indices.":[68],"First,":[69],"two":[70],"feature":[71,101,108,117,171],"selection":[72,109,131],"algorithms":[73],"the":[74,115,138,143,160,167,174,180,190],"gradient":[75],"boosting":[76],"regression":[77,125],"tree":[78],"(GBRT)":[79],"absolute":[81,128],"Pearson":[82],"correlation":[83],"coefficient":[84],"(APCC),":[85],"were":[86,134,163],"combined":[87],"with":[88,192],"field-measured":[89,161],"data":[90,96,162,169],"radiation":[92],"transfer":[93],"model":[94,147,178,182],"simulated":[95,168],"to":[97,113,136],"generate":[98],"four":[99],"different":[100],"ranking":[103,121],"groups.":[104],"Then,":[105],"was":[111,150,179],"used":[112,135],"determine":[114],"best":[116,144,175],"subsets":[118],"under":[119],"each":[120],"group,":[122],"GBRT":[124],"least":[127],"shrinkage":[129],"operator":[132],"(LASSO)":[133],"develop":[137],"LAI":[139,145,176,206],"models.":[141],"Finally,":[142],"determined":[151],"based":[152],"on":[153],"validation":[154],"accuracy.":[155],"The":[156,200],"results":[157],"indicated":[158],"that":[159],"more":[164],"reliable":[165],"than":[166],"selection,":[172],"LASSO":[181],"nine":[184],"selected":[185],"indices,":[187],"achieved":[189],"performance":[191],"RMSE":[193],"0.391":[195],"MAE":[197],"0.310.":[199],"could":[203],"provide":[204],"real-time":[205],"estimates":[207],"future":[209],"prediction.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}