{"id":"https://openalex.org/W3013872530","doi":"https://doi.org/10.3390/rs12071066","title":"Prediction of Individual Tree Diameter Using a Nonlinear Mixed-Effects Modeling Approach and Airborne LiDAR Data","display_name":"Prediction of Individual Tree Diameter Using a Nonlinear Mixed-Effects Modeling Approach and Airborne LiDAR Data","publication_year":2020,"publication_date":"2020-03-26","ids":{"openalex":"https://openalex.org/W3013872530","doi":"https://doi.org/10.3390/rs12071066","mag":"3013872530"},"language":"en","primary_location":{"id":"doi:10.3390/rs12071066","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12071066","pdf_url":"https://www.mdpi.com/2072-4292/12/7/1066/pdf?version=1585549213","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/2072-4292/12/7/1066/pdf?version=1585549213","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087729203","display_name":"Liyong Fu","orcid":"https://orcid.org/0000-0002-5794-9458"},"institutions":[{"id":"https://openalex.org/I119273862","display_name":"Central South University of Forestry and Technology","ror":"https://ror.org/02czw2k81","country_code":"CN","type":"education","lineage":["https://openalex.org/I119273862"]},{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"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"]},{"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/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":"Liyong Fu","raw_affiliation_strings":["Key Laboratory of Forest Management and Growth Modeling, National Forestry and Grassland Administration, Beijing 100091, China","Research Center of Forestry Remote Sensing and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China","Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Forest Management and Growth Modeling, National Forestry and Grassland Administration, Beijing 100091, China","institution_ids":["https://openalex.org/I4210134523"]},{"raw_affiliation_string":"Research Center of Forestry Remote Sensing and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China","institution_ids":["https://openalex.org/I119273862","https://openalex.org/I139660479"]},{"raw_affiliation_string":"Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077107160","display_name":"Guangshuang Duan","orcid":"https://orcid.org/0009-0007-4875-3123"},"institutions":[{"id":"https://openalex.org/I130750295","display_name":"Xinyang Normal University","ror":"https://ror.org/0190x2a66","country_code":"CN","type":"education","lineage":["https://openalex.org/I130750295"]},{"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"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangshuang Duan","raw_affiliation_strings":["College of Mathematics and Statistics, Xinyang Normal University, Xinyang 464000, China","Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Statistics, Xinyang Normal University, Xinyang 464000, China","institution_ids":["https://openalex.org/I130750295"]},{"raw_affiliation_string":"Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039671101","display_name":"Qiaolin Ye","orcid":"https://orcid.org/0000-0002-8793-8610"},"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":"Qiaolin Ye","raw_affiliation_strings":["College of Information Science and Technology, Nanjing Forestry University, Nanjing 210037, China"],"raw_orcid":null,"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/A5084886432","display_name":"Meng Xiang","orcid":"https://orcid.org/0000-0002-3052-2251"},"institutions":[{"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"]},{"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/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":"Xiang Meng","raw_affiliation_strings":["Key Laboratory of Forest Management and Growth Modeling, National Forestry and Grassland Administration, Beijing 100091, China","Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Forest Management and Growth Modeling, National Forestry and Grassland Administration, Beijing 100091, China","institution_ids":["https://openalex.org/I4210134523"]},{"raw_affiliation_string":"Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103140655","display_name":"Peng Luo","orcid":"https://orcid.org/0000-0002-3680-8509"},"institutions":[{"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"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Luo","raw_affiliation_strings":["Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035581017","display_name":"Ram P. Sharma","orcid":"https://orcid.org/0000-0002-8623-6211"},"institutions":[{"id":"https://openalex.org/I155028946","display_name":"Tribhuvan University","ror":"https://ror.org/02rg1r889","country_code":"NP","type":"education","lineage":["https://openalex.org/I155028946"]}],"countries":["NP"],"is_corresponding":false,"raw_author_name":"Ram P. Sharma","raw_affiliation_strings":["Institute of Forestry, Tribhuwan University, Kritipur, Kathmandu 44600, Nepal"],"raw_orcid":"https://orcid.org/0000-0002-8623-6211","affiliations":[{"raw_affiliation_string":"Institute of Forestry, Tribhuwan University, Kritipur, Kathmandu 44600, Nepal","institution_ids":["https://openalex.org/I155028946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005097745","display_name":"Hua Sun","orcid":"https://orcid.org/0000-0002-5401-6783"},"institutions":[{"id":"https://openalex.org/I119273862","display_name":"Central South University of Forestry and Technology","ror":"https://ror.org/02czw2k81","country_code":"CN","type":"education","lineage":["https://openalex.org/I119273862"]},{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Sun","raw_affiliation_strings":["Research Center of Forestry Remote Sensing and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center of Forestry Remote Sensing and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China","institution_ids":["https://openalex.org/I119273862","https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086878627","display_name":"Guangxing Wang","orcid":"https://orcid.org/0000-0002-5419-4547"},"institutions":[{"id":"https://openalex.org/I110378019","display_name":"Southern Illinois University Carbondale","ror":"https://ror.org/049kefs16","country_code":"US","type":"education","lineage":["https://openalex.org/I110378019","https://openalex.org/I2801502357"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guangxing Wang","raw_affiliation_strings":["Department of Geography and Environmental Resources, Southern Illinois University at Carbondale, Carbondale, IL 62901, USA"],"raw_orcid":"https://orcid.org/0000-0002-5419-4547","affiliations":[{"raw_affiliation_string":"Department of Geography and Environmental Resources, Southern Illinois University at Carbondale, Carbondale, IL 62901, USA","institution_ids":["https://openalex.org/I110378019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069044551","display_name":"Qingwang Liu","orcid":"https://orcid.org/0000-0003-2339-6223"},"institutions":[{"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"]},{"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingwang Liu","raw_affiliation_strings":["Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5069044551"],"corresponding_institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2784},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2784},"fwci":1.7836,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.82517427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"12","issue":"7","first_page":"1066","last_page":"1066"},"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":0.9998000264167786,"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":0.9937999844551086,"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/lidar","display_name":"Lidar","score":0.6649989485740662},{"id":"https://openalex.org/keywords/diameter-at-breast-height","display_name":"Diameter at breast height","score":0.6193318963050842},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5878361463546753},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.44706302881240845},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.44378662109375},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4390909969806671},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.41181710362434387},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.364833265542984},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.34199315309524536},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.24163126945495605},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.11920088529586792}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6649989485740662},{"id":"https://openalex.org/C58330081","wikidata":"https://www.wikidata.org/wiki/Q973582","display_name":"Diameter at breast height","level":2,"score":0.6193318963050842},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5878361463546753},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.44706302881240845},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.44378662109375},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4390909969806671},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.41181710362434387},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.364833265542984},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.34199315309524536},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.24163126945495605},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.11920088529586792}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs12071066","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12071066","pdf_url":"https://www.mdpi.com/2072-4292/12/7/1066/pdf?version=1585549213","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:be4bbefaa4284f59a564491cc0030420","is_oa":true,"landing_page_url":"https://doaj.org/article/be4bbefaa4284f59a564491cc0030420","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 7, p 1066 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/7/1066/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12071066","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 7; Pages: 1066","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs12071066","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12071066","pdf_url":"https://www.mdpi.com/2072-4292/12/7/1066/pdf?version=1585549213","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":0.6600000262260437,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G4043556432","display_name":null,"funder_award_id":"2007CB714400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3013872530.pdf","grobid_xml":"https://content.openalex.org/works/W3013872530.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W12809040","https://openalex.org/W15349034","https://openalex.org/W1778150177","https://openalex.org/W1846753643","https://openalex.org/W1866632595","https://openalex.org/W1930492459","https://openalex.org/W1989379623","https://openalex.org/W1993147091","https://openalex.org/W1994744253","https://openalex.org/W2007033047","https://openalex.org/W2009272291","https://openalex.org/W2018985705","https://openalex.org/W2021793377","https://openalex.org/W2023967474","https://openalex.org/W2026885798","https://openalex.org/W2027781877","https://openalex.org/W2039185910","https://openalex.org/W2040302150","https://openalex.org/W2040966598","https://openalex.org/W2053030987","https://openalex.org/W2065030504","https://openalex.org/W2065258204","https://openalex.org/W2087244878","https://openalex.org/W2101464256","https://openalex.org/W2108346330","https://openalex.org/W2116674621","https://openalex.org/W2122511043","https://openalex.org/W2129983701","https://openalex.org/W2131058553","https://openalex.org/W2143523796","https://openalex.org/W2155714399","https://openalex.org/W2159236004","https://openalex.org/W2168302836","https://openalex.org/W2168423648","https://openalex.org/W2185206735","https://openalex.org/W2194590177","https://openalex.org/W2327274084","https://openalex.org/W2367139159","https://openalex.org/W2387834037","https://openalex.org/W2463160766","https://openalex.org/W2493400972","https://openalex.org/W2543475316","https://openalex.org/W2793200101","https://openalex.org/W2944108734","https://openalex.org/W2973647025","https://openalex.org/W4206439534","https://openalex.org/W4242212377","https://openalex.org/W6600520319","https://openalex.org/W6701556380","https://openalex.org/W6722939554","https://openalex.org/W7005928520"],"related_works":["https://openalex.org/W3201030488","https://openalex.org/W2575795810","https://openalex.org/W2610868774","https://openalex.org/W4400591661","https://openalex.org/W4399767649","https://openalex.org/W2092994918","https://openalex.org/W3216594821","https://openalex.org/W2390006526","https://openalex.org/W4363647291","https://openalex.org/W1915333409"],"abstract_inverted_index":{"Rapidly":[0],"advancing":[1],"airborne":[2,156],"laser":[3],"scanning":[4],"technology":[5],"has":[6],"become":[7],"greatly":[8],"useful":[9],"to":[10,73,88,150,200,253,290],"estimate":[11],"tree-":[12],"and":[13,48,77,113,122,179,224,303,334],"stand-level":[14],"variables":[15,83,135],"at":[16,39,243,313],"a":[17,44,98,160,169,267,285,330,335],"large":[18,223],"scale":[19],"using":[20],"high":[21],"spatial":[22],"resolution":[23],"data.":[24,109],"Compared":[25],"with":[26,52,146,329],"that":[27,172,209],"of":[28,33,37,92,162,187,213,220,239,270,325,342],"ground":[29],"measurements,":[30],"the":[31,34,49,89,130,151,182,202,210,214,218,228,233,240,244,254,258,271,281,300,314,323,340,343],"accuracy":[32,148,238,255,288,338],"inferred":[35],"information":[36],"diameter":[38],"breast":[40],"height":[41,124],"(DBH)":[42],"from":[43,80,105,257],"remotely":[45,81,106],"sensed":[46,107],"database":[47],"models":[50,76],"developed":[51,97],"traditional":[53],"regression":[54,67],"approaches":[55],"(e.g.,":[56],"ordinary":[57],"least":[58],"square":[59],"regression)":[60],"may":[61],"not":[62],"be":[63,137,319],"sufficient.":[64],"Thus,":[65],"this":[66],"approach":[68],"is":[69,86],"no":[70],"longer":[71],"appropriate":[72],"develop":[74],"accurate":[75],"predict":[78],"DBH":[79,85,102,131,221,229,310,328],"sensed-related":[82],"because":[84],"subject":[87],"random":[90,211,282],"effects":[91,212,283],"forest":[93,144],"stands.":[94],"This":[95,294],"study":[96],"generalized":[99],"nonlinear":[100,308],"mixed-effects":[101,309],"estimation":[103,132,311],"model":[104,230,242,312],"imagery":[108],"The":[110,155,192,206,236,307],"light":[111],"detection":[112],"ranging":[114],"(LiDAR)-derived":[115],"stand":[116],"canopy":[117],"density,":[118],"crown":[119],"projection":[120],"area,":[121],"tree":[123,263,327],"were":[125,173,190,222],"used":[126,278],"as":[127],"predictors":[128],"in":[129,181,279],"model.":[133,260],"These":[134],"can":[136,317],"more":[138],"readily":[139],"measured":[140],"over":[141],"an":[142],"extensive":[143],"area":[145],"higher":[147,287],"compared":[149,289],"conventional":[152],"field-based":[153],"methods.":[154],"LiDAR":[157],"data":[158],"for":[159],"total":[161],"402":[163],"Picea":[164],"crassifolia":[165],"Kom":[166],"trees":[167,274],"on":[168,217],"sample":[170,268,295],"plot":[171,216,277],"divided":[174],"into":[175,227],"16":[176],"sub-sample":[177,194,215,276],"plots":[178],"located":[180],"most":[183],"important":[184],"distribution":[185],"region":[186],"western":[188],"China":[189],"used.":[191],"leave-one":[193],"plot-out":[195],"cross-validation":[196],"method":[197],"was":[198,248,339],"applied":[199,320],"evaluate":[201],"model\u2019s":[203],"prediction":[204,219,234,237,305,337],"accuracy.":[205,235],"results":[207],"indicated":[208],"their":[225],"inclusion":[226],"significantly":[231,286],"improved":[232,251],"proposed":[241],"mean":[245],"(M)":[246],"response":[247,316],"also":[249,318],"substantially":[250],"relative":[252],"obtained":[256],"base":[259],"Among":[261],"several":[262],"selection":[264],"alternatives":[265],"evaluated,":[266],"size":[269,296],"two":[272],"largest":[273],"per":[275],"estimating":[280],"showed":[284],"other":[291],"sampling":[292],"alternatives.":[293],"would":[297],"balance":[298],"both":[299],"measurement":[301],"cost":[302],"potential":[304],"errors.":[306],"M":[315],"if":[321],"obtaining":[322],"estimates":[324],"individual":[326],"relatively":[331],"lower":[332,336],"cost,":[333],"purpose":[341],"study.":[344]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2020-04-03T00:00:00"}