{"id":"https://openalex.org/W2042052861","doi":"https://doi.org/10.1109/igarss.2012.6352737","title":"A method of upscaling ground measurements of Leaf Area Index based on Taylor Series expansion Model","display_name":"A method of upscaling ground measurements of Leaf Area Index based on Taylor Series expansion Model","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2042052861","doi":"https://doi.org/10.1109/igarss.2012.6352737","mag":"2042052861"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2012.6352737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6352737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 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/A5101692967","display_name":"Yan Liu","orcid":"https://orcid.org/0000-0002-9938-159X"},"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":true,"raw_author_name":"Yan Liu","raw_affiliation_strings":["Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing, China","State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035656977","display_name":"Jindi Wang","orcid":"https://orcid.org/0000-0003-4962-4888"},"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":"Jindi Wang","raw_affiliation_strings":["Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing, China","State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052377332","display_name":"Hongmin Zhou","orcid":"https://orcid.org/0000-0001-7384-6152"},"institutions":[{"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/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongmin Zhou","raw_affiliation_strings":["Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing, China","State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100711257","display_name":"Huazhu Xue","orcid":"https://orcid.org/0000-0003-4046-7935"},"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":"Huazhu Xue","raw_affiliation_strings":["Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing, China","State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101692967"],"corresponding_institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09678206,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":null,"first_page":"6483","last_page":"6486"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9994999766349792,"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":0.9994999766349792,"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/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.993399977684021,"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"}},{"id":"https://openalex.org/T10029","display_name":"Climate variability and models","score":0.9889000058174133,"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/taylor-series","display_name":"Taylor series","score":0.6760854721069336},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6455134153366089},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6374838352203369},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.6106006503105164},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6069025993347168},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6052058339118958},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5376718044281006},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5192318558692932},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4170558452606201},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34355980157852173},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2648516297340393},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11925038695335388},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11125627160072327},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.0944288969039917},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07578995823860168}],"concepts":[{"id":"https://openalex.org/C158946198","wikidata":"https://www.wikidata.org/wiki/Q131187","display_name":"Taylor series","level":2,"score":0.6760854721069336},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6455134153366089},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6374838352203369},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.6106006503105164},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6069025993347168},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6052058339118958},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5376718044281006},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5192318558692932},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4170558452606201},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34355980157852173},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2648516297340393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11925038695335388},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11125627160072327},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0944288969039917},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07578995823860168},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2012.6352737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6352737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2017697133","https://openalex.org/W2093124179","https://openalex.org/W2123720514","https://openalex.org/W2125215346","https://openalex.org/W2151647593","https://openalex.org/W2152421343","https://openalex.org/W2159666988","https://openalex.org/W2362566432","https://openalex.org/W2374456144","https://openalex.org/W2519651033","https://openalex.org/W4243045102","https://openalex.org/W4385215531","https://openalex.org/W7035026384"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W2044092692","https://openalex.org/W2614621130","https://openalex.org/W4249245269","https://openalex.org/W2025681766","https://openalex.org/W2547665164","https://openalex.org/W2765548132","https://openalex.org/W4289655544","https://openalex.org/W2159897444","https://openalex.org/W3103111272"],"abstract_inverted_index":{"The":[0,20,83,100,126],"ground":[1,36,59,128],"measurements":[2,37,60,129],"of":[3,35,57,68,96,112,122,136,143],"Leaf":[4],"Area":[5],"Index":[6],"(LAI)":[7],"are":[8,47],"usually":[9],"used":[10,87,140],"to":[11,61,88],"validate":[12],"the":[13,25,28,32,62,66,77,93,110,113,120,123],"LAI":[14,69,144],"estimated":[15],"using":[16],"remote":[17],"sensing":[18],"observations.":[19],"main":[21],"problem":[22],"encountered":[23],"in":[24],"validation":[26,67,142],"is":[27,107],"scale":[29,64,95],"mismatch":[30],"between":[31],"sampling":[33,45],"area":[34,46],"and":[38,115,119],"coarse-resolution":[39,63,97],"image":[40,98],"pixel,":[41],"especially":[42],"when":[43],"those":[44],"not":[48],"ideal":[49],"homogenous.":[50],"This":[51,71],"study":[52],"introduced":[53],"a":[54],"new":[55],"approach":[56],"upscaling":[58,72,131],"for":[65,141],"estimations.":[70],"method":[73,106],"was":[74],"based":[75],"on":[76],"Taylor":[78],"Series":[79],"expansion":[80],"Model":[81],"(TSM).":[82],"high-resolution":[84],"images":[85],"were":[86],"provide":[89],"auxiliary":[90],"information":[91],"at":[92],"sub-pixel":[94],"pixel.":[99],"possible":[101],"error":[102,132],"associated":[103],"with":[104,130,146],"this":[105],"derived":[108],"from":[109],"neglection":[111],"third-":[114],"higher-order":[116],"TSM":[117],"terms":[118],"uncertainty":[121],"empirical":[124],"model.":[125],"upscaled":[127],"smaller":[133],"than":[134],"half":[135],"eigenaccuracy":[137],"could":[138],"be":[139],"estimations":[145],"coarse":[147],"resolution.":[148]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}