{"id":"https://openalex.org/W4401069793","doi":"https://doi.org/10.1109/lgrs.2024.3434685","title":"Improved Leaf Area Index Retrieval Using 3-D Point Clouds From UAV Imagery","display_name":"Improved Leaf Area Index Retrieval Using 3-D Point Clouds From UAV Imagery","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401069793","doi":"https://doi.org/10.1109/lgrs.2024.3434685"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2024.3434685","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3434685","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5083693426","display_name":"Minfeng Xing","orcid":"https://orcid.org/0000-0002-5369-4638"},"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Minfeng Xing","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100780312","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0002-9032-5348"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030373820","display_name":"Yang Song","orcid":"https://orcid.org/0000-0002-5229-1781"},"institutions":[{"id":"https://openalex.org/I4210089582","display_name":"Zoomlion (China)","ror":"https://ror.org/00b1hj613","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210089582"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Song","raw_affiliation_strings":["Intelligent Agriculture Research Institute, Zoomlion Smart Agriculture, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Agriculture Research Institute, Zoomlion Smart Agriculture, Changsha, China","institution_ids":["https://openalex.org/I4210089582"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083012711","display_name":"Jiali Shang","orcid":"https://orcid.org/0000-0001-9114-1500"},"institutions":[{"id":"https://openalex.org/I1331897569","display_name":"Agriculture and Agri-Food Canada","ror":"https://ror.org/051dzs374","country_code":"CA","type":"government","lineage":["https://openalex.org/I1331897569","https://openalex.org/I2802286613"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jiali Shang","raw_affiliation_strings":["Agriculture and Agri-Food Canada, Ottawa, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Agriculture and Agri-Food Canada, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I1331897569"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033415752","display_name":"Xin Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xin Zhou","raw_affiliation_strings":["Department of Geography and Environment, University of Western Ontario, London, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Geography and Environment, University of Western Ontario, London, ON, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006022882","display_name":"Jinfei Wang","orcid":"https://orcid.org/0000-0002-8404-0530"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jinfei Wang","raw_affiliation_strings":["Department of Geography and Environment, University of Western Ontario, London, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Geography and Environment, University of Western Ontario, London, ON, Canada","institution_ids":["https://openalex.org/I125749732"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5083693426"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":1.8529,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8390446,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998999834060669,"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"}},{"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/T10616","display_name":"Smart Agriculture and AI","score":0.9793999791145325,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6019927859306335},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5934758186340332},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5824137926101685},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5365049839019775},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5127800107002258},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.42442458868026733},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37535804510116577},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.19535937905311584},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18468868732452393},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1245620846748352},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07927510142326355}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6019927859306335},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5934758186340332},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5824137926101685},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5365049839019775},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5127800107002258},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.42442458868026733},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37535804510116577},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19535937905311584},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18468868732452393},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1245620846748352},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07927510142326355},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2024.3434685","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3434685","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G8609544382","display_name":null,"funder_award_id":"U03210022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1969434292","https://openalex.org/W1971875927","https://openalex.org/W2005827599","https://openalex.org/W2029473420","https://openalex.org/W2090626095","https://openalex.org/W2109006150","https://openalex.org/W2133059825","https://openalex.org/W2136585802","https://openalex.org/W2144157054","https://openalex.org/W2148719805","https://openalex.org/W2151631165","https://openalex.org/W2176673053","https://openalex.org/W2774550616","https://openalex.org/W2811307883","https://openalex.org/W2989660890","https://openalex.org/W3031572497","https://openalex.org/W3094233092","https://openalex.org/W3103230033","https://openalex.org/W4214624143","https://openalex.org/W4368366416"],"related_works":["https://openalex.org/W4389574804","https://openalex.org/W3016928466","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W3108295644","https://openalex.org/W1578717197","https://openalex.org/W2626737336","https://openalex.org/W2005998065","https://openalex.org/W2980582925","https://openalex.org/W3126423817"],"abstract_inverted_index":{"Leaf":[0],"area":[1],"index":[2],"(LAI)":[3],"serves":[4],"as":[5],"a":[6,45,128],"key":[7],"ecophysiological":[8],"parameter":[9],"for":[10,18,47,92],"assessing":[11],"plant":[12],"growth":[13],"and":[14,110,133],"is":[15,63,78,113],"particularly":[16],"vital":[17],"crop":[19],"monitoring.":[20],"Using":[21],"unmanned":[22],"aerial":[23],"vehicle":[24],"(UAV)-based":[25],"point":[26,52,71,87,163],"cloud":[27,164],"data":[28],"generated":[29],"through":[30,80],"photogrammetry":[31],"techniques":[32],"offers":[33],"valuable":[34],"structural":[35],"insights":[36],"into":[37],"crops,":[38],"facilitating":[39],"LAI":[40,49,135,156],"retrieval.":[41],"This":[42],"study":[43],"introduces":[44],"method":[46,153],"estimating":[48,155],"from":[50,85,160],"3-D":[51,86],"clouds.":[53,72,88],"By":[54],"employing":[55],"spherical":[56],"voxel":[57],"partitioning,":[58],"the":[59,67,74,99,104,116,148,151],"vegetation":[60,107],"gap":[61,108],"fraction":[62,109],"computed":[64],"based":[65],"on":[66],"spatial":[68],"distribution":[69],"of":[70,106,150],"Furthermore,":[73],"leaf":[75,100],"inclination":[76,101],"angle":[77],"determined":[79],"triangular":[81],"patch":[82],"collections":[83],"reconstructed":[84],"Projection":[89],"functions,":[90],"accounting":[91],"varying":[93],"zenith":[94],"perspectives,":[95],"are":[96],"developed":[97],"considering":[98],"angle.":[102],"Subsequently,":[103],"combination":[105],"projection":[111],"functions":[112],"used":[114],"within":[115],"Beer\u2013Lambert":[117],"law":[118],"framework":[119],"to":[120],"calculate":[121],"LAI.":[122],"Validation":[123],"against":[124],"ground":[125],"measurements":[126],"demonstrates":[127],"strong":[129],"correlation":[130],"between":[131],"measured":[132],"retrieved":[134],"(<inline-formula":[136],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[137],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[138],"<tex-math":[139],"notation=\"LaTeX\">$R^{2}":[140],"=":[141,145],"0.64$":[142],"</tex-math></inline-formula>,":[143],"RMSE":[144],"0.43),":[146],"affirming":[147],"effectiveness":[149],"proposed":[152],"in":[154],"using":[157],"UAV-based":[158],"structure":[159],"motion":[161],"(SfM)":[162],"data.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
