{"id":"https://openalex.org/W2106852196","doi":"https://doi.org/10.1109/igarss.2008.4779110","title":"Retrieval of the Overstory and Understory Leaf Area Index of Forest Stands Using a Model of Forest Canopy Reflectance","display_name":"Retrieval of the Overstory and Understory Leaf Area Index of Forest Stands Using a Model of Forest Canopy Reflectance","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2106852196","doi":"https://doi.org/10.1109/igarss.2008.4779110","mag":"2106852196"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2008.4779110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2008.4779110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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/A5046271690","display_name":"Jianxi Huang","orcid":"https://orcid.org/0000-0003-0341-1983"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianxi Huang","raw_affiliation_strings":["Architecture School, Tsinghua University, Beijing, China","Archit. Sch., Tsinghua Univ., Beijing"],"affiliations":[{"raw_affiliation_string":"Architecture School, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Archit. Sch., Tsinghua Univ., Beijing","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086987894","display_name":"Feng Mao","orcid":"https://orcid.org/0000-0002-7896-4809"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Mao","raw_affiliation_strings":["Architecture School, Tsinghua University, Beijing, China","Archit. Sch., Tsinghua Univ., Beijing"],"affiliations":[{"raw_affiliation_string":"Architecture School, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Archit. Sch., Tsinghua Univ., Beijing","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113985532","display_name":"Wensheng Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wensheng Zhou","raw_affiliation_strings":["Institute of Geo-Spatial Information Science and Technology, University of Electronic Science and Technology, Chengdu, China","Archit. Sch., Tsinghua Univ., Beijing"],"affiliations":[{"raw_affiliation_string":"Institute of Geo-Spatial Information Science and Technology, University of Electronic Science and Technology, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Archit. Sch., Tsinghua Univ., Beijing","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100720681","display_name":"Wenbo Xu","orcid":"https://orcid.org/0000-0001-8704-1937"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Xu","raw_affiliation_strings":["Architecture School, Tsinghua University, Beijing, China","Inst. of Geo-Spatial Inf. Sci. & Technol., Univ. of Electron. Sci. & Technol. of China, Chengdu"],"affiliations":[{"raw_affiliation_string":"Architecture School, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Inst. of Geo-Spatial Inf. Sci. & Technol., Univ. of Electron. Sci. & Technol. of China, Chengdu","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5046271690"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10693225,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"II","last_page":"781"},"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":0.9955000281333923,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9941999912261963,"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/understory","display_name":"Understory","score":0.9112199544906616},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.8396441340446472},{"id":"https://openalex.org/keywords/canopy","display_name":"Canopy","score":0.6062166690826416},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5850974321365356},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5781751275062561},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.47863879799842834},{"id":"https://openalex.org/keywords/tree-canopy","display_name":"Tree canopy","score":0.4674077332019806},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.41277724504470825},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.32087016105651855},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.07867765426635742}],"concepts":[{"id":"https://openalex.org/C139669111","wikidata":"https://www.wikidata.org/wiki/Q422666","display_name":"Understory","level":3,"score":0.9112199544906616},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.8396441340446472},{"id":"https://openalex.org/C101000010","wikidata":"https://www.wikidata.org/wiki/Q5033434","display_name":"Canopy","level":2,"score":0.6062166690826416},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5850974321365356},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5781751275062561},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.47863879799842834},{"id":"https://openalex.org/C39807119","wikidata":"https://www.wikidata.org/wiki/Q1134228","display_name":"Tree canopy","level":3,"score":0.4674077332019806},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.41277724504470825},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.32087016105651855},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.07867765426635742},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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":1,"locations":[{"id":"doi:10.1109/igarss.2008.4779110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2008.4779110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.699999988079071,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1978283906","https://openalex.org/W2036706101","https://openalex.org/W2067703153","https://openalex.org/W2097192876","https://openalex.org/W2109052600","https://openalex.org/W2120636518","https://openalex.org/W2129471536","https://openalex.org/W2143680202","https://openalex.org/W2151659169"],"related_works":["https://openalex.org/W3025359210","https://openalex.org/W4289874622","https://openalex.org/W3208078400","https://openalex.org/W2377212262","https://openalex.org/W68934393","https://openalex.org/W2186579497","https://openalex.org/W4327748155","https://openalex.org/W2955967599","https://openalex.org/W2120541940","https://openalex.org/W4206560325"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"the":[3,15,27,51,70,73,110,113,124,135],"Kuusk-Nilson":[4],"forest":[5,24],"reflectance":[6],"and":[7,17,37,43,53,63,90,117],"transmittance":[8],"(FRT)":[9],"model":[10,75],"was":[11,66],"inverted":[12,59],"to":[13,49,68,108,139],"retrieve":[14,50],"overstory":[16,52,116,125],"understory":[18,54,118,136],"leaf":[19],"area":[20],"index":[21],"(LAI)":[22],"of":[23,72,112,115,127],"stands":[25,128],"in":[26],"Longmenhe":[28],"Nature":[29],"Reserve":[30],"(Xingshan":[31],"County,":[32],"Hubei":[33],"province,":[34],"China).":[35],"Atmospherically":[36],"topographically":[38],"corrected":[39],"hyperspectral":[40],"Hyperion":[41,82,95,99,104],"imagery":[42],"field":[44,79],"data":[45],"had":[46],"been":[47],"input":[48],"LAI":[55,126,137],"simultaneously":[56],"using":[57],"FRT":[58,74],"model.":[60],"An":[61],"uncertainty":[62],"sensitivity":[64,71],"matrix":[65],"used":[67],"analyze":[69],"parameters":[76],"based":[77,86],"on":[78,87],"data.":[80],"Twenty-one":[81],"bands":[83,105],"were":[84,106],"selected":[85],"principal-components":[88],"analysis":[89],"band":[91,100],"importance":[92],"from":[93,102],"total":[94,142],"bands.":[96],"Eight":[97],"different":[98],"combinations":[101],"21":[103],"tested":[107],"evaluate":[109],"accuracy":[111],"inversion":[114],"LAI.":[119,143],"Our":[120],"study":[121],"showed":[122],"that":[123],"can":[129],"be":[130],"better":[131],"retrieved":[132],"when":[133],"considering":[134],"compared":[138],"only":[140],"use":[141]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}