{"id":"https://openalex.org/W2163815892","doi":"https://doi.org/10.1109/igarss.2008.4779454","title":"The LAI Inversion based on Directional Second Derivative using Hyperspectral Data","display_name":"The LAI Inversion based on Directional Second Derivative using Hyperspectral Data","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2163815892","doi":"https://doi.org/10.1109/igarss.2008.4779454","mag":"2163815892"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2008.4779454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2008.4779454","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":"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/A5100430490","display_name":"Xiaochen Liu","orcid":"https://orcid.org/0000-0002-3835-5558"},"institutions":[{"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"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Xiao-chen","raw_affiliation_strings":["Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China","International Institute for Earth System Science, Nanjing University, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"International Institute for Earth System Science, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fan Wen-jie","orcid":null},"institutions":[{"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":"Fan Wen-jie","raw_affiliation_strings":["Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tian Qing-jiu","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Qing-jiu","raw_affiliation_strings":["International Institute for Earth System Science, Nanjing University, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Institute for Earth System Science, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111873774","display_name":"Xiru Xu","orcid":null},"institutions":[{"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":"Xu Xi-ru","raw_affiliation_strings":["Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570","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":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"III ","last_page":" 740"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9991000294685364,"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"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9887999892234802,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8958417773246765},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7669131755828857},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.6905525922775269},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.671333372592926},{"id":"https://openalex.org/keywords/bidirectional-reflectance-distribution-function","display_name":"Bidirectional reflectance distribution function","score":0.5834622383117676},{"id":"https://openalex.org/keywords/second-derivative","display_name":"Second derivative","score":0.5689250230789185},{"id":"https://openalex.org/keywords/anisotropy","display_name":"Anisotropy","score":0.5416271686553955},{"id":"https://openalex.org/keywords/spectral-space","display_name":"Spectral space","score":0.5175092220306396},{"id":"https://openalex.org/keywords/canopy","display_name":"Canopy","score":0.49549663066864014},{"id":"https://openalex.org/keywords/directional-derivative","display_name":"Directional derivative","score":0.4942338764667511},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.33607247471809387},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3295489251613617},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.29884475469589233},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2949559688568115},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19388291239738464},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18205344676971436},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12993785738945007},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.12863793969154358},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09706777334213257}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8958417773246765},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7669131755828857},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.6905525922775269},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.671333372592926},{"id":"https://openalex.org/C151596937","wikidata":"https://www.wikidata.org/wiki/Q856980","display_name":"Bidirectional reflectance distribution function","level":3,"score":0.5834622383117676},{"id":"https://openalex.org/C33257320","wikidata":"https://www.wikidata.org/wiki/Q1932744","display_name":"Second derivative","level":2,"score":0.5689250230789185},{"id":"https://openalex.org/C85725439","wikidata":"https://www.wikidata.org/wiki/Q466686","display_name":"Anisotropy","level":2,"score":0.5416271686553955},{"id":"https://openalex.org/C2778740170","wikidata":"https://www.wikidata.org/wiki/Q7575210","display_name":"Spectral space","level":2,"score":0.5175092220306396},{"id":"https://openalex.org/C101000010","wikidata":"https://www.wikidata.org/wiki/Q5033434","display_name":"Canopy","level":2,"score":0.49549663066864014},{"id":"https://openalex.org/C2011187","wikidata":"https://www.wikidata.org/wiki/Q383851","display_name":"Directional derivative","level":2,"score":0.4942338764667511},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33607247471809387},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3295489251613617},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.29884475469589233},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2949559688568115},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19388291239738464},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18205344676971436},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12993785738945007},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12863793969154358},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09706777334213257},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2008.4779454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2008.4779454","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":[{"id":"https://metadata.un.org/sdg/15","score":0.6800000071525574,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1978160572","https://openalex.org/W2067703153","https://openalex.org/W2078222544","https://openalex.org/W2084041670","https://openalex.org/W2132926714","https://openalex.org/W2138209664","https://openalex.org/W2151647593"],"related_works":["https://openalex.org/W1989928114","https://openalex.org/W2064205779","https://openalex.org/W2257860710","https://openalex.org/W2363328912","https://openalex.org/W2358696576","https://openalex.org/W3181765342","https://openalex.org/W2390216763","https://openalex.org/W1970606660","https://openalex.org/W1981693945","https://openalex.org/W4381481066"],"abstract_inverted_index":{"Leaf":[0],"area":[1],"index":[2],"(LAI)":[3],"is":[4],"an":[5,165],"important":[6],"structure":[7],"parameter":[8],"of":[9,21,25,43,49,76,82,99,136,138],"vegetation":[10],"system.":[11],"The":[12,23,69],"quantitative":[13],"remote":[14,51],"sensing":[15],"can":[16,38,72,154],"offer":[17],"two":[18],"dimensional":[19],"distribution":[20],"LAI.":[22,44],"variation":[24],"background,":[26],"atmospheric":[27],"condition":[28],"and":[29,78,95,120,141,148,172],"canopy":[30,100,116,139],"anisotropic":[31],"reflectance":[32,101,140],"were":[33,143],"the":[34,40,47,62,74,80,89,97,122,130,134,152,157,175,182],"three":[35],"factors":[36],"that":[37],"restrain":[39],"retrieved":[41],"accuracy":[42,81],"Along":[45],"with":[46],"emergence":[48],"hyperspectral":[50],"sensor,":[52],"such":[53],"as":[54],"Hyperion,":[55],"it's":[56],"possible":[57],"to":[58,87],"calculate":[59],"LAI":[60,83,183],"using":[61],"second":[63,70,90,109,125,159,177],"derivative":[64,71,91,110,126,160,178],"method":[65],"in":[66,145,170],"spectral":[67,108,124,171],"dimension.":[68],"reduce":[73],"influence":[75,98],"background":[77,142],"improve":[79],"inversion.":[84],"In":[85],"order":[86],"integrate":[88],"into":[92],"physical":[93],"model":[94,117],"eliminate":[96],"anisotropy,":[102],"we":[103],"propose":[104],"a":[105,113],"new":[106,114],"directional":[107,123,158,176],"method.":[111,161],"Firstly":[112],"hybrid":[115,131],"was":[118,127],"used,":[119],"then":[121],"deduced":[128],"from":[129],"model,":[132],"so":[133],"effects":[135],"anisotropy":[137],"removed":[144],"theory.":[146],"Numerical":[147],"field":[149],"tests":[150],"show":[151],"noise":[153,167],"greatly":[155],"impact":[156],"We":[162],"put":[163],"forward":[164],"innovative":[166],"filtering":[168],"approach":[169],"space":[173],"domains,":[174],"worked":[179],"well":[180],"on":[181],"retrieval":[184],"by":[185],"Hyperion":[186],"image.":[187]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
