{"id":"https://openalex.org/W3028855635","doi":"https://doi.org/10.3390/rs12111779","title":"A New Quantitative Approach to Tree Attributes Estimation Based on LiDAR Point Clouds","display_name":"A New Quantitative Approach to Tree Attributes Estimation Based on LiDAR Point Clouds","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3028855635","doi":"https://doi.org/10.3390/rs12111779","mag":"3028855635"},"language":"en","primary_location":{"id":"doi:10.3390/rs12111779","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12111779","pdf_url":"https://www.mdpi.com/2072-4292/12/11/1779/pdf","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/2072-4292/12/11/1779/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012541276","display_name":"Guangpeng Fan","orcid":"https://orcid.org/0000-0002-2292-4920"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangpeng Fan","raw_affiliation_strings":["Engineering Research Center for Forestry-oriented Intelligent Information Processing, National Forestry and Grassland Administration, Beijing 100083, China","School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Center for Forestry-oriented Intelligent Information Processing, National Forestry and Grassland Administration, Beijing 100083, China","institution_ids":["https://openalex.org/I4210134523"]},{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027616562","display_name":"Liangliang Nan","orcid":"https://orcid.org/0000-0002-5629-9975"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Liangliang Nan","raw_affiliation_strings":["3D Geoinformation Research Group, Faculty of Architecture and the Built Environment, Delft University of Technology, 2628 BL Delft, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-5629-9975","affiliations":[{"raw_affiliation_string":"3D Geoinformation Research Group, Faculty of Architecture and the Built Environment, Delft University of Technology, 2628 BL Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101694557","display_name":"Feixiang Chen","orcid":"https://orcid.org/0000-0003-1000-8455"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feixiang Chen","raw_affiliation_strings":["Engineering Research Center for Forestry-oriented Intelligent Information Processing, National Forestry and Grassland Administration, Beijing 100083, China","School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China"],"raw_orcid":"https://orcid.org/0000-0003-1000-8455","affiliations":[{"raw_affiliation_string":"Engineering Research Center for Forestry-oriented Intelligent Information Processing, National Forestry and Grassland Administration, Beijing 100083, China","institution_ids":["https://openalex.org/I4210134523"]},{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001711303","display_name":"Yanqi Dong","orcid":"https://orcid.org/0000-0002-3129-0819"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanqi Dong","raw_affiliation_strings":["School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100372801","display_name":"Zhiming Wang","orcid":"https://orcid.org/0000-0002-4604-168X"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiming Wang","raw_affiliation_strings":["School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087324266","display_name":"Hao Li","orcid":"https://orcid.org/0000-0003-4295-1288"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Li","raw_affiliation_strings":["School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062903733","display_name":"Danyu Chen","orcid":"https://orcid.org/0000-0002-2202-2863"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danyu Chen","raw_affiliation_strings":["School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101694557"],"corresponding_institution_ids":["https://openalex.org/I31683504","https://openalex.org/I4210134523"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.9229,"has_fulltext":false,"cited_by_count":66,"citation_normalized_percentile":{"value":0.90384555,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"12","issue":"11","first_page":"1779","last_page":"1779"},"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/T11880","display_name":"Forest ecology and management","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"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/T12713","display_name":"Forest Ecology and Biodiversity Studies","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect 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/point-cloud","display_name":"Point cloud","score":0.7089746594429016},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.7043291330337524},{"id":"https://openalex.org/keywords/convex-hull","display_name":"Convex hull","score":0.6973644495010376},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.5096595287322998},{"id":"https://openalex.org/keywords/interval-tree","display_name":"Interval tree","score":0.44915691018104553},{"id":"https://openalex.org/keywords/forest-inventory","display_name":"Forest inventory","score":0.446328341960907},{"id":"https://openalex.org/keywords/diameter-at-breast-height","display_name":"Diameter at breast height","score":0.4325205087661743},{"id":"https://openalex.org/keywords/laser-scanning","display_name":"Laser scanning","score":0.4240697920322418},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39891353249549866},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3952946662902832},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.3510320782661438},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3218453824520111},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.3039494752883911},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.300825834274292},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.29360800981521606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18887576460838318},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1530299186706543},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12471219897270203},{"id":"https://openalex.org/keywords/forest-management","display_name":"Forest management","score":0.12079134583473206},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.1066637635231018},{"id":"https://openalex.org/keywords/laser","display_name":"Laser","score":0.09071755409240723},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0901331901550293},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.08962380886077881},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07348650693893433}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7089746594429016},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.7043291330337524},{"id":"https://openalex.org/C206194317","wikidata":"https://www.wikidata.org/wiki/Q1138624","display_name":"Convex hull","level":3,"score":0.6973644495010376},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.5096595287322998},{"id":"https://openalex.org/C84927040","wikidata":"https://www.wikidata.org/wiki/Q6057306","display_name":"Interval tree","level":4,"score":0.44915691018104553},{"id":"https://openalex.org/C147103442","wikidata":"https://www.wikidata.org/wiki/Q1423188","display_name":"Forest inventory","level":3,"score":0.446328341960907},{"id":"https://openalex.org/C58330081","wikidata":"https://www.wikidata.org/wiki/Q973582","display_name":"Diameter at breast height","level":2,"score":0.4325205087661743},{"id":"https://openalex.org/C141349535","wikidata":"https://www.wikidata.org/wiki/Q1361664","display_name":"Laser scanning","level":3,"score":0.4240697920322418},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39891353249549866},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3952946662902832},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.3510320782661438},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3218453824520111},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.3039494752883911},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.300825834274292},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.29360800981521606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18887576460838318},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1530299186706543},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12471219897270203},{"id":"https://openalex.org/C28631016","wikidata":"https://www.wikidata.org/wiki/Q372561","display_name":"Forest management","level":2,"score":0.12079134583473206},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.1066637635231018},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.09071755409240723},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0901331901550293},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.08962380886077881},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07348650693893433},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs12111779","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12111779","pdf_url":"https://www.mdpi.com/2072-4292/12/11/1779/pdf","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:tud:oai:tudelft.nl:uuid:94910114-f97c-4a50-91e6-23174e8fe9e9","is_oa":true,"landing_page_url":"http://resolver.tudelft.nl/uuid:94910114-f97c-4a50-91e6-23174e8fe9e9","pdf_url":"http://resolver.tudelft.nl/uuid:94910114-f97c-4a50-91e6-23174e8fe9e9","source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, 12(11)","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:99e4543c58de46a4b91fc75a7f43c9f3","is_oa":true,"landing_page_url":"https://doaj.org/article/99e4543c58de46a4b91fc75a7f43c9f3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"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 12, Iss 11, p 1779 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/11/1779/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12111779","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 12; Issue 11; Pages: 1779","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs12111779","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12111779","pdf_url":"https://www.mdpi.com/2072-4292/12/11/1779/pdf","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":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3028855635.pdf"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W643303129","https://openalex.org/W1591377857","https://openalex.org/W1965722011","https://openalex.org/W1968833491","https://openalex.org/W1975521562","https://openalex.org/W1983486580","https://openalex.org/W1986623698","https://openalex.org/W2019917126","https://openalex.org/W2022686119","https://openalex.org/W2032413422","https://openalex.org/W2038715255","https://openalex.org/W2046469573","https://openalex.org/W2047577852","https://openalex.org/W2049577336","https://openalex.org/W2067871368","https://openalex.org/W2077944642","https://openalex.org/W2080105829","https://openalex.org/W2083565284","https://openalex.org/W2087070363","https://openalex.org/W2087667361","https://openalex.org/W2088922279","https://openalex.org/W2097215714","https://openalex.org/W2099962227","https://openalex.org/W2109279950","https://openalex.org/W2113748593","https://openalex.org/W2121616733","https://openalex.org/W2129990354","https://openalex.org/W2136245122","https://openalex.org/W2146751368","https://openalex.org/W2152280278","https://openalex.org/W2165148193","https://openalex.org/W2174904160","https://openalex.org/W2175890440","https://openalex.org/W2181338717","https://openalex.org/W2367201931","https://openalex.org/W2466959383","https://openalex.org/W2560074925","https://openalex.org/W2574542620","https://openalex.org/W2604655395","https://openalex.org/W2734268260","https://openalex.org/W2760677139","https://openalex.org/W2767638360","https://openalex.org/W2788190553","https://openalex.org/W2790585947","https://openalex.org/W2790597870","https://openalex.org/W2804550932","https://openalex.org/W2892230984","https://openalex.org/W2896680712","https://openalex.org/W2913475014","https://openalex.org/W2913638934","https://openalex.org/W2931168078","https://openalex.org/W2946576719","https://openalex.org/W2953602496","https://openalex.org/W2955811644","https://openalex.org/W2961010599","https://openalex.org/W2971872054","https://openalex.org/W2982115794","https://openalex.org/W2990979092","https://openalex.org/W3003409034","https://openalex.org/W3013666356","https://openalex.org/W3136970581","https://openalex.org/W4249836439","https://openalex.org/W6635088054","https://openalex.org/W6656319447","https://openalex.org/W6667290843","https://openalex.org/W6674917368","https://openalex.org/W6762620513","https://openalex.org/W7056248466"],"related_works":["https://openalex.org/W2244384984","https://openalex.org/W2107381954","https://openalex.org/W2149963083","https://openalex.org/W3022865202","https://openalex.org/W2501849745","https://openalex.org/W3169685561","https://openalex.org/W2117536196","https://openalex.org/W2906792929","https://openalex.org/W1510719821","https://openalex.org/W3024236969"],"abstract_inverted_index":{"Tree-level":[0],"information":[1],"can":[2,152],"be":[3,153],"estimated":[4],"based":[5,22,142,219,231,322],"on":[6,23,143,220,232,323],"light":[7],"detection":[8],"and":[9,32,37,74,161,169,195,200,215,239,248,254,264,289,301],"ranging":[10],"(LiDAR)":[11],"point":[12,28],"clouds.":[13],"We":[14],"propose":[15],"to":[16,30,38,66,109,117,126,155],"develop":[17],"a":[18,78,86,107,110,119,136,307],"quantitative":[19],"structural":[20],"model":[21,47,104,121,146,222,273,309],"terrestrial":[24],"laser":[25],"scanning":[26],"(TLS)":[27],"clouds":[29],"automatically":[31],"accurately":[33],"estimate":[34],"tree":[35,72,103,129,145,159,170,177,184,197,201,216,257,268,294,314],"attributes":[36,130,178],"detect":[39],"real":[40],"trees":[41],"for":[42,50,310],"the":[43,58,61,68,71,92,95,123,132,144,174,181,183,196,206,213,228,272,279],"first":[44],"time.":[45],"This":[46,149,304],"is":[48,274],"suitable":[49],"forest":[51],"research":[52],"where":[53],"branches":[54,75,99],"are":[55,223],"involved":[56],"in":[57,224,275],"calculation.":[59],"First,":[60],"Adtree":[62],"method":[63,141,151],"was":[64,116,147],"used":[65,154],"approximate":[67],"geometry":[69],"of":[70,80,89,94,122,176,186,241,256,293,313],"stem":[73,96,160],"by":[76],"fitting":[77],"series":[79],"cylinders.":[81,90],"Trees":[82],"were":[83,100,193,203,243,259,296],"represented":[84],"as":[85],"broad":[87],"set":[88],"Then,":[91],"end":[93],"or":[97,319],"all":[98],"closed.":[101],"The":[102,208,236,251,267,282],"changed":[105],"from":[106,131,180,190,205,271],"cylinder":[108],"closed":[111],"convex":[112,137],"hull":[113,138],"polyhedron,":[114],"which":[115],"reconstruct":[118],"3D":[120,134],"tree.":[124],"Finally,":[125],"extract":[127,156],"effective":[128],"reconstructed":[133,194],"model,":[135,182],"polyhedron":[139],"calculation":[140,150],"defined.":[148],"wood":[157],"(including":[158],"branches)":[162],"volume,":[163,198,315],"diameter":[164],"at":[165],"breast":[166],"height":[167,202,217,258],"(DBH)":[168],"height.":[171],"To":[172],"verify":[173],"accuracy":[175],"extracted":[179,204,218,270],"models":[185],"153":[187],"Chinese":[188],"scholartrees":[189],"TLS":[191],"data":[192],"DBH":[199,214,242],"model.":[207],"experimental":[209],"results":[210],"show":[211],"that":[212],"this":[221],"better":[225,276],"consistency":[226,277],"with":[227,278],"reference":[229,280],"value":[230],"field":[233],"survey":[234],"data.":[235,325],"bias,":[237,252,283],"RMSE":[238,253],"R2":[240,255],"0.38":[244],"cm,":[245],"1.28":[246],"cm":[247],"0.92,":[249],"respectively.":[250,266,303],"\u22120.76":[260],"m,":[261],"1.21":[262],"m":[263],"0.93,":[265],"volume":[269,295],"value.":[281],"root":[284],"mean":[285],"square":[286],"error":[287],"(RMSE)":[288],"determination":[290],"coefficient":[291],"(R2)":[292],"\u22120.01236":[297],"m3,":[298],"0.03498":[299],"m3":[300],"0.96,":[302],"study":[305],"provides":[306],"new":[308],"nondestructive":[311],"estimation":[312],"above-ground":[316],"biomass":[317],"(AGB)":[318],"carbon":[320],"stock":[321],"LiDAR":[324]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}