{"id":"https://openalex.org/W2019190157","doi":"https://doi.org/10.3390/rs5020584","title":"A Voxel-Based Method for Automated Identification and Morphological Parameters Estimation of Individual Street Trees from Mobile Laser Scanning Data","display_name":"A Voxel-Based Method for Automated Identification and Morphological Parameters Estimation of Individual Street Trees from Mobile Laser Scanning Data","publication_year":2013,"publication_date":"2013-01-28","ids":{"openalex":"https://openalex.org/W2019190157","doi":"https://doi.org/10.3390/rs5020584","mag":"2019190157"},"language":"en","primary_location":{"id":"doi:10.3390/rs5020584","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs5020584","pdf_url":"https://www.mdpi.com/2072-4292/5/2/584/pdf?version=1403131589","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/5/2/584/pdf?version=1403131589","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013347813","display_name":"Bin Wu","orcid":"https://orcid.org/0000-0002-1511-2457"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wu","raw_affiliation_strings":["Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, 500 Dongchuan Rd, Shanghai 200241, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, 500 Dongchuan Rd, Shanghai 200241, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435026","display_name":"Bailang Yu","orcid":"https://orcid.org/0000-0001-5628-0003"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bailang Yu","raw_affiliation_strings":["Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, 500 Dongchuan Rd, Shanghai 200241, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, 500 Dongchuan Rd, Shanghai 200241, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046054038","display_name":"Wenhui Yue","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhui Yue","raw_affiliation_strings":["Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, 500 Dongchuan Rd, Shanghai 200241, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, 500 Dongchuan Rd, Shanghai 200241, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038438137","display_name":"Song Shu","orcid":"https://orcid.org/0000-0002-8531-1208"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Shu","raw_affiliation_strings":["Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, 500 Dongchuan Rd, Shanghai 200241, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, 500 Dongchuan Rd, Shanghai 200241, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100939536","display_name":"Wenqi Tan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenqi Tan","raw_affiliation_strings":["Shanghai Landscape and City Appearance Administration Information Center, 331 Tongren Rd, Shanghai 200040, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Landscape and City Appearance Administration Information Center, 331 Tongren Rd, Shanghai 200040, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101423315","display_name":"Chunling Hu","orcid":"https://orcid.org/0000-0003-0019-897X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chunling Hu","raw_affiliation_strings":["Shanghai Landscape and City Appearance Administration Information Center, 331 Tongren Rd, Shanghai 200040, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Landscape and City Appearance Administration Information Center, 331 Tongren Rd, Shanghai 200040, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001183924","display_name":"Yan Huang","orcid":"https://orcid.org/0000-0002-5727-0891"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Huang","raw_affiliation_strings":["Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, 500 Dongchuan Rd, Shanghai 200241, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, 500 Dongchuan Rd, Shanghai 200241, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001949272","display_name":"Jianping Wu","orcid":"https://orcid.org/0000-0002-8887-8031"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Wu","raw_affiliation_strings":["Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, 500 Dongchuan Rd, Shanghai 200241, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, 500 Dongchuan Rd, Shanghai 200241, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101778436","display_name":"Hongxing Liu","orcid":"https://orcid.org/0000-0002-2418-3636"},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongxing Liu","raw_affiliation_strings":["Department of Geography, University of Cincinnati, Cincinnati, OH 45221, USA"],"affiliations":[{"raw_affiliation_string":"Department of Geography, University of Cincinnati, Cincinnati, OH 45221, USA","institution_ids":["https://openalex.org/I63135867"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5100435026"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":12.1632,"has_fulltext":false,"cited_by_count":225,"citation_normalized_percentile":{"value":0.99144249,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"5","issue":"2","first_page":"584","last_page":"611"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":1.0,"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":1.0,"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":0.9958000183105469,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"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/point-cloud","display_name":"Point cloud","score":0.8117426633834839},{"id":"https://openalex.org/keywords/crown","display_name":"Crown (dentistry)","score":0.5592305660247803},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5508770942687988},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5186740159988403},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5120750069618225},{"id":"https://openalex.org/keywords/laser-scanning","display_name":"Laser scanning","score":0.5118147730827332},{"id":"https://openalex.org/keywords/urban-forestry","display_name":"Urban forestry","score":0.46554574370384216},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.4390893578529358},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.42881518602371216},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.37265950441360474},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.3243614137172699},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.31363406777381897},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.30545327067375183},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3026323914527893},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24305543303489685},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.11343452334403992},{"id":"https://openalex.org/keywords/laser","display_name":"Laser","score":0.11335557699203491}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8117426633834839},{"id":"https://openalex.org/C2778400979","wikidata":"https://www.wikidata.org/wiki/Q143720","display_name":"Crown (dentistry)","level":2,"score":0.5592305660247803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5508770942687988},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5186740159988403},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5120750069618225},{"id":"https://openalex.org/C141349535","wikidata":"https://www.wikidata.org/wiki/Q1361664","display_name":"Laser scanning","level":3,"score":0.5118147730827332},{"id":"https://openalex.org/C2780977904","wikidata":"https://www.wikidata.org/wiki/Q822620","display_name":"Urban forestry","level":2,"score":0.46554574370384216},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.4390893578529358},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.42881518602371216},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.37265950441360474},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.3243614137172699},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.31363406777381897},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.30545327067375183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3026323914527893},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24305543303489685},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.11343452334403992},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.11335557699203491},{"id":"https://openalex.org/C199343813","wikidata":"https://www.wikidata.org/wiki/Q12128","display_name":"Dentistry","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs5020584","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs5020584","pdf_url":"https://www.mdpi.com/2072-4292/5/2/584/pdf?version=1403131589","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4dc83b0feeb64103895e9b429585e5e4","is_oa":true,"landing_page_url":"https://doaj.org/article/4dc83b0feeb64103895e9b429585e5e4","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 5, Iss 2, Pp 584-611 (2013)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/5/2/584/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs5020584","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 5; Issue 2; Pages: 584-611","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs5020584","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs5020584","pdf_url":"https://www.mdpi.com/2072-4292/5/2/584/pdf?version=1403131589","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2019190157.pdf","grobid_xml":"https://content.openalex.org/works/W2019190157.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W247260001","https://openalex.org/W1653887546","https://openalex.org/W1982297264","https://openalex.org/W1990763871","https://openalex.org/W1993026786","https://openalex.org/W1993070993","https://openalex.org/W1993439844","https://openalex.org/W2000035714","https://openalex.org/W2003984586","https://openalex.org/W2008477163","https://openalex.org/W2013023436","https://openalex.org/W2013497870","https://openalex.org/W2020685640","https://openalex.org/W2026647224","https://openalex.org/W2036112234","https://openalex.org/W2042891401","https://openalex.org/W2044713457","https://openalex.org/W2055985452","https://openalex.org/W2059221395","https://openalex.org/W2062725567","https://openalex.org/W2065536826","https://openalex.org/W2069975764","https://openalex.org/W2070387180","https://openalex.org/W2073869244","https://openalex.org/W2076700149","https://openalex.org/W2076712994","https://openalex.org/W2083565284","https://openalex.org/W2092719214","https://openalex.org/W2099524593","https://openalex.org/W2101153839","https://openalex.org/W2111915155","https://openalex.org/W2114892120","https://openalex.org/W2122514599","https://openalex.org/W2124142674","https://openalex.org/W2127719703","https://openalex.org/W2133396874","https://openalex.org/W2136045605","https://openalex.org/W2136280819","https://openalex.org/W2139766970","https://openalex.org/W2147547492","https://openalex.org/W2148254631","https://openalex.org/W2150833188","https://openalex.org/W2158807068","https://openalex.org/W2162401076","https://openalex.org/W2165296207","https://openalex.org/W2169059815","https://openalex.org/W2169944288","https://openalex.org/W2170274919","https://openalex.org/W2524413828","https://openalex.org/W6609339791","https://openalex.org/W6684698591","https://openalex.org/W6727686409"],"related_works":["https://openalex.org/W2088131065","https://openalex.org/W2005998065","https://openalex.org/W2001220299","https://openalex.org/W4323518558","https://openalex.org/W3196715007","https://openalex.org/W2286704396","https://openalex.org/W2366440988","https://openalex.org/W2358582870","https://openalex.org/W4293059742","https://openalex.org/W4324133428"],"abstract_inverted_index":{"As":[0],"an":[1,10,167],"important":[2,11],"component":[3],"of":[4,15,20,81,88,126],"urban":[5,21,40,45],"vegetation,":[6],"street":[7,35,62,130,177],"trees":[8,36,63,178],"play":[9],"role":[12],"in":[13,156],"maintenance":[14],"environmental":[16],"quality,":[17],"aesthetic":[18],"beauty":[19],"landscape,":[22],"and":[23,30,43,64,91,100,111,124,150],"social":[24],"service":[25],"for":[26,34,39,59,129,170,175],"inhabitants.":[27],"Acquiring":[28],"accurate":[29],"up-to-date":[31],"inventory":[32],"information":[33],"is":[37,109],"required":[38],"horticultural":[41],"planning,":[42],"municipal":[44],"forest":[46],"management.":[47],"This":[48],"paper":[49],"presents":[50],"a":[51,157],"new":[52],"Voxel-based":[53],"Marked":[54],"Neighborhood":[55],"Searching":[56],"(VMNS)":[57],"method":[58,79,108,128,165],"efficiently":[60],"identifying":[61],"deriving":[65,97],"their":[66],"morphological":[67,98,138,173],"parameters":[68,174],"from":[69,179],"Mobile":[70],"Laser":[71],"Scanning":[72],"(MLS)":[73],"point":[74,181],"cloud":[75,182],"data.":[76,183],"The":[77,107,117,136],"VMNS":[78],"consists":[80],"six":[82],"technical":[83],"components:":[84],"voxelization,":[85],"calculating":[86],"values":[87],"voxels,":[89],"searching":[90],"marking":[92],"neighborhoods,":[93],"extracting":[94,171],"potential":[95],"trees,":[96],"parameters,":[99,139],"eliminating":[101],"pole-like":[102],"objects":[103],"other":[104],"than":[105],"trees.":[106],"validated":[110],"evaluated":[112],"through":[113],"two":[114],"case":[115],"studies.":[116],"evaluation":[118],"results":[119],"show":[120],"that":[121],"the":[122,161],"completeness":[123],"correctness":[125],"our":[127],"tree":[131,141],"detection":[132],"are":[133,155],"over":[134],"98%.":[135],"derived":[137],"including":[140],"height,":[142],"crown":[143,151],"diameter,":[144],"diameter":[145],"at":[146],"breast":[147],"height":[148,153],"(DBH),":[149],"base":[152],"(CBH),":[154],"good":[158],"agreement":[159],"with":[160],"field":[162],"measurements.":[163],"Our":[164],"provides":[166],"effective":[168],"tool":[169],"various":[172],"individual":[176],"MLS":[180]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":30},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":25},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":20},{"year":2016,"cited_by_count":22},{"year":2015,"cited_by_count":16},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":3}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2016-06-24T00:00:00"}
