{"id":"https://openalex.org/W4310379470","doi":"https://doi.org/10.3390/rs14236041","title":"Integrating Real Tree Skeleton Reconstruction Based on Partial Computational Virtual Measurement (CVM) with Actual Forest Scenario Rendering: A Solid Step Forward for the Realization of the Digital Twins of Trees and Forests","display_name":"Integrating Real Tree Skeleton Reconstruction Based on Partial Computational Virtual Measurement (CVM) with Actual Forest Scenario Rendering: A Solid Step Forward for the Realization of the Digital Twins of Trees and Forests","publication_year":2022,"publication_date":"2022-11-29","ids":{"openalex":"https://openalex.org/W4310379470","doi":"https://doi.org/10.3390/rs14236041"},"language":"en","primary_location":{"id":"doi:10.3390/rs14236041","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14236041","pdf_url":"https://www.mdpi.com/2072-4292/14/23/6041/pdf?version=1669716561","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/2072-4292/14/23/6041/pdf?version=1669716561","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100398357","display_name":"Zhichao Wang","orcid":"https://orcid.org/0000-0001-6662-835X"},"institutions":[{"id":"https://openalex.org/I76198965","display_name":"Friedrich Schiller University Jena","ror":"https://ror.org/05qpz1x62","country_code":"DE","type":"education","lineage":["https://openalex.org/I76198965"]},{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]},{"id":"https://openalex.org/I107851509","display_name":"Chinese Academy of Tropical Agricultural Sciences","ror":"https://ror.org/003qeh975","country_code":"CN","type":"government","lineage":["https://openalex.org/I107851509","https://openalex.org/I4210127390","https://openalex.org/I4210151987"]},{"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/I4210109893","display_name":"Rubber Research Institute","ror":"https://ror.org/01w4k1v53","country_code":"CN","type":"facility","lineage":["https://openalex.org/I107851509","https://openalex.org/I4210109893","https://openalex.org/I4210127390","https://openalex.org/I4210151987"]}],"countries":["CN","DE"],"is_corresponding":false,"raw_author_name":"Zhichao Wang","raw_affiliation_strings":["Beijing Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing 100083, China","College of Information Science and Technology, Nanjing Forestry University, Nanjing 210037, China","Department of Earth Observation, Friedrich-Schiller-University Jena, 07743 Jena, Germany","Department of Geography, Friedrich-Schiller-University Jena, 07743 Jena, Germany","National Danzhou Investigation and Experiment Station of Tropical Crops, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou 571737, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"College of Information Science and Technology, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]},{"raw_affiliation_string":"Department of Earth Observation, Friedrich-Schiller-University Jena, 07743 Jena, Germany","institution_ids":["https://openalex.org/I76198965"]},{"raw_affiliation_string":"Department of Geography, Friedrich-Schiller-University Jena, 07743 Jena, Germany","institution_ids":["https://openalex.org/I76198965"]},{"raw_affiliation_string":"National Danzhou Investigation and Experiment Station of Tropical Crops, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou 571737, China","institution_ids":["https://openalex.org/I107851509","https://openalex.org/I4210109893"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100719908","display_name":"Xin Lu","orcid":"https://orcid.org/0009-0004-8662-3467"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Lu","raw_affiliation_strings":["College of Information Science and Technology, Nanjing Forestry University, Nanjing 210037, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035896709","display_name":"Feng An","orcid":"https://orcid.org/0000-0003-1545-2475"},"institutions":[{"id":"https://openalex.org/I4210109893","display_name":"Rubber Research Institute","ror":"https://ror.org/01w4k1v53","country_code":"CN","type":"facility","lineage":["https://openalex.org/I107851509","https://openalex.org/I4210109893","https://openalex.org/I4210127390","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I107851509","display_name":"Chinese Academy of Tropical Agricultural Sciences","ror":"https://ror.org/003qeh975","country_code":"CN","type":"government","lineage":["https://openalex.org/I107851509","https://openalex.org/I4210127390","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng An","raw_affiliation_strings":["National Danzhou Investigation and Experiment Station of Tropical Crops, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou 571737, China"],"affiliations":[{"raw_affiliation_string":"National Danzhou Investigation and Experiment Station of Tropical Crops, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou 571737, China","institution_ids":["https://openalex.org/I107851509","https://openalex.org/I4210109893"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041541504","display_name":"Lijun Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109893","display_name":"Rubber Research Institute","ror":"https://ror.org/01w4k1v53","country_code":"CN","type":"facility","lineage":["https://openalex.org/I107851509","https://openalex.org/I4210109893","https://openalex.org/I4210127390","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I107851509","display_name":"Chinese Academy of Tropical Agricultural Sciences","ror":"https://ror.org/003qeh975","country_code":"CN","type":"government","lineage":["https://openalex.org/I107851509","https://openalex.org/I4210127390","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Zhou","raw_affiliation_strings":["National Danzhou Investigation and Experiment Station of Tropical Crops, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou 571737, China"],"affiliations":[{"raw_affiliation_string":"National Danzhou Investigation and Experiment Station of Tropical Crops, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou 571737, China","institution_ids":["https://openalex.org/I107851509","https://openalex.org/I4210109893"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115695007","display_name":"Xiangjun Wang","orcid":"https://orcid.org/0009-0008-6072-842X"},"institutions":[{"id":"https://openalex.org/I107851509","display_name":"Chinese Academy of Tropical Agricultural Sciences","ror":"https://ror.org/003qeh975","country_code":"CN","type":"government","lineage":["https://openalex.org/I107851509","https://openalex.org/I4210127390","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210109893","display_name":"Rubber Research Institute","ror":"https://ror.org/01w4k1v53","country_code":"CN","type":"facility","lineage":["https://openalex.org/I107851509","https://openalex.org/I4210109893","https://openalex.org/I4210127390","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangjun Wang","raw_affiliation_strings":["National Danzhou Investigation and Experiment Station of Tropical Crops, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou 571737, China"],"affiliations":[{"raw_affiliation_string":"National Danzhou Investigation and Experiment Station of Tropical Crops, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou 571737, China","institution_ids":["https://openalex.org/I107851509","https://openalex.org/I4210109893"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073437026","display_name":"Zhihao Wang","orcid":"https://orcid.org/0000-0001-6342-5784"},"institutions":[{"id":"https://openalex.org/I107851509","display_name":"Chinese Academy of Tropical Agricultural Sciences","ror":"https://ror.org/003qeh975","country_code":"CN","type":"government","lineage":["https://openalex.org/I107851509","https://openalex.org/I4210127390","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210109893","display_name":"Rubber Research Institute","ror":"https://ror.org/01w4k1v53","country_code":"CN","type":"facility","lineage":["https://openalex.org/I107851509","https://openalex.org/I4210109893","https://openalex.org/I4210127390","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I76198965","display_name":"Friedrich Schiller University Jena","ror":"https://ror.org/05qpz1x62","country_code":"DE","type":"education","lineage":["https://openalex.org/I76198965"]},{"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/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN","DE"],"is_corresponding":false,"raw_author_name":"Zhihao Wang","raw_affiliation_strings":["Beijing Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing 100083, China","College of Information Science and Technology, Nanjing Forestry University, Nanjing 210037, China","Department of Earth Observation, Friedrich-Schiller-University Jena, 07743 Jena, Germany","Department of Geography, Friedrich-Schiller-University Jena, 07743 Jena, Germany","National Danzhou Investigation and Experiment Station of Tropical Crops, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou 571737, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"College of Information Science and Technology, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]},{"raw_affiliation_string":"Department of Earth Observation, Friedrich-Schiller-University Jena, 07743 Jena, Germany","institution_ids":["https://openalex.org/I76198965"]},{"raw_affiliation_string":"Department of Geography, Friedrich-Schiller-University Jena, 07743 Jena, Germany","institution_ids":["https://openalex.org/I76198965"]},{"raw_affiliation_string":"National Danzhou Investigation and Experiment Station of Tropical Crops, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou 571737, China","institution_ids":["https://openalex.org/I107851509","https://openalex.org/I4210109893"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062119142","display_name":"Huaiqing Zhang","orcid":"https://orcid.org/0000-0003-3874-5326"},"institutions":[{"id":"https://openalex.org/I4210128615","display_name":"Chinese Academy of Forestry","ror":"https://ror.org/0360dkv71","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210132245","display_name":"Research Institute of Forestry","ror":"https://ror.org/02nmvgz47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210132245","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210114891","display_name":"Institute of Forest Resource Information Techniques","ror":"https://ror.org/01h5d6x15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huaiqing Zhang","raw_affiliation_strings":["Research Institute of Forestry Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China"],"affiliations":[{"raw_affiliation_string":"Research Institute of Forestry Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210132245","https://openalex.org/I4210128615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052257313","display_name":"Ting Yun","orcid":"https://orcid.org/0000-0003-4294-8337"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Yun","raw_affiliation_strings":["College of Information Science and Technology, Nanjing Forestry University, Nanjing 210037, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5062119142"],"corresponding_institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210132245"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.7665,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.6642368,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"14","issue":"23","first_page":"6041","last_page":"6041"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9977999925613403,"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/T12729","display_name":"Tree Root and Stability Studies","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6304203271865845},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5886284112930298},{"id":"https://openalex.org/keywords/forest-inventory","display_name":"Forest inventory","score":0.5774301886558533},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.46785882115364075},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.45967936515808105},{"id":"https://openalex.org/keywords/basal-area","display_name":"Basal area","score":0.43512290716171265},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33487996459007263},{"id":"https://openalex.org/keywords/forest-management","display_name":"Forest management","score":0.30995306372642517},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.25418344140052795},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24269646406173706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22571000456809998},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.19506719708442688}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6304203271865845},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5886284112930298},{"id":"https://openalex.org/C147103442","wikidata":"https://www.wikidata.org/wiki/Q1423188","display_name":"Forest inventory","level":3,"score":0.5774301886558533},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.46785882115364075},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.45967936515808105},{"id":"https://openalex.org/C91354502","wikidata":"https://www.wikidata.org/wiki/Q830384","display_name":"Basal area","level":2,"score":0.43512290716171265},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33487996459007263},{"id":"https://openalex.org/C28631016","wikidata":"https://www.wikidata.org/wiki/Q372561","display_name":"Forest management","level":2,"score":0.30995306372642517},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.25418344140052795},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24269646406173706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22571000456809998},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19506719708442688},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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":4,"locations":[{"id":"doi:10.3390/rs14236041","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14236041","pdf_url":"https://www.mdpi.com/2072-4292/14/23/6041/pdf?version=1669716561","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:e7b4ef69a55641cd843252d154a783d8","is_oa":true,"landing_page_url":"https://doaj.org/article/e7b4ef69a55641cd843252d154a783d8","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 23, p 6041 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/23/6041/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14236041","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 14; Issue 23; Pages: 6041","raw_type":"Text"},{"id":"pmh:oai:www.db-thueringen.de:dbt_mods_00055102","is_oa":true,"landing_page_url":"https://nbn-resolving.org/urn:nbn:de:gbv:27-dbt-20221207-161156-000","pdf_url":null,"source":{"id":"https://openalex.org/S4306400120","display_name":"Common Library Network (Der Gemeinsame Bibliotheksverbund)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210149878","host_organization_name":"Verbundzentrale des GBV","host_organization_lineage":["https://openalex.org/I4210149878"],"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":"","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs14236041","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14236041","pdf_url":"https://www.mdpi.com/2072-4292/14/23/6041/pdf?version=1669716561","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":0.699999988079071,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G5099692126","display_name":null,"funder_award_id":"32071681","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G98304632","display_name":null,"funder_award_id":"31770591","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320313941","display_name":"Friedrich-Schiller-Universit\u00e4t Jena","ror":"https://ror.org/05qpz1x62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4310379470.pdf","grobid_xml":"https://content.openalex.org/works/W4310379470.grobid-xml"},"referenced_works_count":78,"referenced_works":["https://openalex.org/W1570792896","https://openalex.org/W1673310716","https://openalex.org/W1970991873","https://openalex.org/W1980089263","https://openalex.org/W1981889405","https://openalex.org/W1987610258","https://openalex.org/W1993636354","https://openalex.org/W2027781877","https://openalex.org/W2030991072","https://openalex.org/W2034382805","https://openalex.org/W2035865758","https://openalex.org/W2046469573","https://openalex.org/W2061741406","https://openalex.org/W2062883956","https://openalex.org/W2086234207","https://openalex.org/W2096872656","https://openalex.org/W2110158442","https://openalex.org/W2113748593","https://openalex.org/W2555132450","https://openalex.org/W2560074925","https://openalex.org/W2739193552","https://openalex.org/W2742575390","https://openalex.org/W2794202219","https://openalex.org/W2797392385","https://openalex.org/W2807888046","https://openalex.org/W2811093923","https://openalex.org/W2891197740","https://openalex.org/W2918395390","https://openalex.org/W2921352593","https://openalex.org/W2941876953","https://openalex.org/W2955191297","https://openalex.org/W2956171182","https://openalex.org/W2997320354","https://openalex.org/W3032659302","https://openalex.org/W3038740996","https://openalex.org/W3087605142","https://openalex.org/W3088292472","https://openalex.org/W3103358687","https://openalex.org/W3110828616","https://openalex.org/W3118740333","https://openalex.org/W3122830743","https://openalex.org/W3127472137","https://openalex.org/W3128186415","https://openalex.org/W3137677786","https://openalex.org/W3144259467","https://openalex.org/W3152545865","https://openalex.org/W3167805636","https://openalex.org/W3175014773","https://openalex.org/W3186597348","https://openalex.org/W3188762575","https://openalex.org/W3189890774","https://openalex.org/W3197705420","https://openalex.org/W3211938211","https://openalex.org/W3214156394","https://openalex.org/W4200335954","https://openalex.org/W4205126785","https://openalex.org/W4206706117","https://openalex.org/W4221127151","https://openalex.org/W4224319474","https://openalex.org/W4226080951","https://openalex.org/W4283321867","https://openalex.org/W4283752107","https://openalex.org/W4288465870","https://openalex.org/W4288681049","https://openalex.org/W4289914010","https://openalex.org/W4293085461","https://openalex.org/W4294930503","https://openalex.org/W4295065789","https://openalex.org/W4295414334","https://openalex.org/W4315703473","https://openalex.org/W6637131181","https://openalex.org/W6658227796","https://openalex.org/W6674609841","https://openalex.org/W6730369006","https://openalex.org/W6750505841","https://openalex.org/W6760125021","https://openalex.org/W6839658916","https://openalex.org/W7007813637"],"related_works":["https://openalex.org/W2015378821","https://openalex.org/W4236226448","https://openalex.org/W2475090620","https://openalex.org/W2537499819","https://openalex.org/W2109791390","https://openalex.org/W2955157021","https://openalex.org/W2894161168","https://openalex.org/W3043308525","https://openalex.org/W4313558313","https://openalex.org/W1989794441"],"abstract_inverted_index":{"Digital":[0],"twins":[1,77],"of":[2,9,42,48,78,111,151,167,170,184,190,197,250,252,290,324],"forests":[3,10,22,43,80,325],"(trees)":[4,11,23,44,81],"are":[5,24],"computational":[6,97],"virtual":[7,98,141,219],"recreations":[8],"in":[12,20,38,210,217,313],"which":[13,145],"the":[14,46,62,66,71,79,103,109,173,181,194,211,218,222,234,242,298,314,321],"entity":[15],"distributions":[16],"and":[17,33,55,70,164,193,199,215,285,310],"physical":[18,182,206],"processes":[19],"real-world":[21,50],"duplicated.":[25],"It":[26],"is":[27],"expected":[28],"that":[29,94,134,303],"conventional":[30,127,268],"forest":[31,51,212,287],"science":[32],"management":[34],"can":[35],"be":[36,307],"undertaken":[37],"a":[39,49,83,91,137,148,229,308],"digital":[40,76,322],"twin":[41,323],"if":[45],"recreation":[47],"(tree)":[52],"has":[53],"accurate":[54],"comprehensive":[56],"enough":[57],"information.":[58],"However,":[59],"due":[60],"to":[61,108,120,126,160,233,274,320],"various":[63],"differences":[64],"between":[65],"current":[67],"tree":[68,104,114,282,318],"model":[69],"real":[72],"tree,":[73],"these":[74],"envisioned":[75],"stay":[82],"theoretical":[84],"concept.":[85],"In":[86],"this":[87],"study,":[88],"we":[89,135,301],"developed":[90,136],"processing":[92],"strategy":[93],"partially":[95],"integrated":[96],"measurement":[99,207,280],"(CVM)":[100],"process":[101],"into":[102],"modeling":[105,129,152],"workflow.":[106],"Owing":[107],"feature":[110],"CVM,":[112],"partial":[113],"skeleton":[115,283],"reconstruction":[116,284],"procedures":[117],"were":[118,201,294],"considered":[119],"have":[121],"higher":[122],"mechanical":[123],"objectivity":[124],"compared":[125,232],"mathematical":[128,235],"methods.":[130],"The":[131,246],"reason":[132],"was":[133,158,260],"novel":[138],"method":[139],"called":[140],"diameter":[142,185,253],"tape":[143],"(VDT),":[144],"could":[146],"provide":[147],"certain":[149],"percentage":[150],"elements":[153],"using":[154,241,258],"CVM.":[155],"Technically,":[156],"VDT":[157,179,225,259,279],"able":[159],"virtually":[161],"measure":[162],"diameters":[163],"spatial":[165],"distribution":[166],"cross-sectional":[168,195],"area":[169,196],"trees,":[171],"including":[172],"basal":[174],"area,":[175],"from":[176,266,271,317],"point":[177,188],"clouds.":[178],"simulated":[180],"scenario":[183,288],"tapes,":[186],"observing":[187],"clouds":[189],"trees.":[191],"Diameter":[192],"stem":[198],"branches":[200],"obtained":[202,226,265],"by":[203],"two":[204],"consecutive":[205],"processes,":[208],"one":[209],"sample":[213,292],"site":[214],"another":[216],"space.":[220],"At":[221],"same":[223,243],"time,":[224],"better":[227],"or":[228],"similar":[230],"accuracy":[231],"methods,":[236,240],"i.e.,":[237],"Hough":[238],"transform-based":[239],"data":[244],"sets.":[245],"root-mean-square":[247],"deviation":[248],"(RMSE)":[249],"retrieval":[251],"at":[254],"breast":[255],"height":[256],"(DBH)":[257],"1.02":[261],"cm,":[262],"while":[263],"DBH":[264],"three":[267],"methods":[269],"varied":[270],"1.29":[272],"cm":[273],"1.73":[275],"cm.":[276],"Based":[277],"on":[278],"results,":[281],"actual":[286],"rendering":[289],"our":[291,304],"plots":[293],"further":[295],"implemented.":[296],"Beyond":[297],"visual":[299],"consistency,":[300],"believe":[302],"work":[305],"might":[306],"small":[309],"solid":[311],"step":[312],"technological":[315],"evolution":[316],"models":[319],"(trees).":[326]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
