{"id":"https://openalex.org/W2900964839","doi":"https://doi.org/10.1109/igarss.2018.8517467","title":"Up-Scaling of Leaf Area Index by an Improved Computational Geometry Method","display_name":"Up-Scaling of Leaf Area Index by an Improved Computational Geometry Method","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2900964839","doi":"https://doi.org/10.1109/igarss.2018.8517467","mag":"2900964839"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8517467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8517467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 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/A5001935993","display_name":"Hong Chen","orcid":"https://orcid.org/0000-0001-7427-2031"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Chen","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010975608","display_name":"Hua Wu","orcid":"https://orcid.org/0000-0002-5982-8422"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Wu","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058040417","display_name":"Zhao-Liang Li","orcid":"https://orcid.org/0000-0001-9369-8548"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao-Liang Li","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20525488,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"2887","last_page":"2890"},"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9970999956130981,"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":0.995199978351593,"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/scaling","display_name":"Scaling","score":0.7438246011734009},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.728614091873169},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.6117077469825745},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.5794819593429565},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5692113041877747},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5509169101715088},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5403189659118652},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.5284478664398193},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.45638659596443176},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4543338418006897},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.430765300989151},{"id":"https://openalex.org/keywords/computational-geometry","display_name":"Computational geometry","score":0.41531819105148315},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3210933804512024},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.21719786524772644},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.10226020216941833},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07744327187538147}],"concepts":[{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.7438246011734009},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.728614091873169},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.6117077469825745},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.5794819593429565},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5692113041877747},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5509169101715088},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5403189659118652},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.5284478664398193},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.45638659596443176},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4543338418006897},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.430765300989151},{"id":"https://openalex.org/C29123130","wikidata":"https://www.wikidata.org/wiki/Q874709","display_name":"Computational geometry","level":2,"score":0.41531819105148315},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3210933804512024},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.21719786524772644},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.10226020216941833},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07744327187538147},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2018.8517467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8517467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.7200000286102295}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1969939898","https://openalex.org/W2025039816","https://openalex.org/W2039081811","https://openalex.org/W2082691405","https://openalex.org/W2123720514","https://openalex.org/W2160794506"],"related_works":["https://openalex.org/W4382519655","https://openalex.org/W2118750013","https://openalex.org/W2012613798","https://openalex.org/W4312759319","https://openalex.org/W2168301479","https://openalex.org/W2195397423","https://openalex.org/W2333823683","https://openalex.org/W2160952205","https://openalex.org/W2064404759","https://openalex.org/W2626784971"],"abstract_inverted_index":{"Leaf":[0],"area":[1],"index":[2],"(LAI)":[3],"is":[4,52,60,103],"a":[5,30,37],"very":[6],"important":[7],"vegetation":[8],"parameter":[9],"and":[10,83,100,112,156],"has":[11],"been":[12],"used":[13,114],"in":[14],"growth":[15],"monitoring,":[16],"yield":[17],"estimation,":[18],"land":[19],"surface":[20],"modelling,":[21],"among":[22],"others.":[23],"When":[24],"the":[25,66,71,77,81,87,91,109,120,124,128,135,159],"retrieval":[26,58,92],"function":[27,59],"built":[28],"at":[29,36],"local":[31],"scale":[32,39],"are":[33,113,127],"further":[34],"applied":[35],"large":[38],"for":[40],"heterogeneous":[41],"surface,":[42],"up-scaling":[43],"effects":[44],"would":[45],"appear.":[46],"The":[47,94],"computational":[48,69],"geometry":[49],"method":[50],"(CGM)":[51],"regardless":[53],"of":[54,68,86,90,97,123,131,161],"whether":[55],"or":[56,62],"not":[57],"continuous":[61],"derivable.":[63],"According":[64],"to":[65,105,108,115,148,166],"theory":[67],"geometry,":[70],"exact":[72,110],"LAI":[73,111,163],"always":[74],"falls":[75],"into":[76],"interval":[78],"determined":[79],"by":[80],"lower":[82,99],"upper":[84,101],"boundaries":[85],"convex":[88],"hull":[89],"function.":[93],"mean":[95],"value":[96],"those":[98],"bounds":[102],"assumed":[104],"be":[106],"close":[107],"reduce":[116,158],"upscaling":[117],"effects.":[118],"However,":[119],"constant":[121,154],"weights":[122,151,155],"scaling":[125],"model":[126],"key":[129],"limitation":[130],"traditional":[132],"CGM":[133],"because":[134],"required":[136],"uniform":[137],"distribution":[138],"rarely":[139],"happens.":[140],"To":[141],"overcome":[142],"this":[143,145],"limitation,":[144],"paper":[146],"tries":[147],"use":[149],"variable":[150],"rather":[152],"than":[153],"successfully":[157],"RMSE":[160],"retrieved":[162],"from":[164],"0.247":[165],"0.054":[167]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}