{"id":"https://openalex.org/W3115999083","doi":"https://doi.org/10.1109/jstars.2020.3046053","title":"Deep Learning in Forest Structural Parameter Estimation Using Airborne LiDAR Data","display_name":"Deep Learning in Forest Structural Parameter Estimation Using Airborne LiDAR Data","publication_year":2020,"publication_date":"2020-12-21","ids":{"openalex":"https://openalex.org/W3115999083","doi":"https://doi.org/10.1109/jstars.2020.3046053","mag":"3115999083"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2020.3046053","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3046053","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2020.3046053","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100458828","display_name":"Hao Liu","orcid":"https://orcid.org/0000-0002-6717-9784"},"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":true,"raw_author_name":"Hao Liu","raw_affiliation_strings":["Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China","ORCiD"],"affiliations":[{"raw_affiliation_string":"Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China","institution_ids":["https://openalex.org/I167027274"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031929340","display_name":"Xin Shen","orcid":"https://orcid.org/0000-0002-5517-277X"},"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 Shen","raw_affiliation_strings":["Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083073196","display_name":"Lin Cao","orcid":"https://orcid.org/0000-0001-5195-0477"},"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":"Lin Cao","raw_affiliation_strings":["Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China","ORCiD"],"affiliations":[{"raw_affiliation_string":"Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China","institution_ids":["https://openalex.org/I167027274"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","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","College of Information Science and Technology, Nanjing Forestry University, NanjingChina","ORCiD"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Nanjing Forestry University, Nanjing","institution_ids":["https://openalex.org/I167027274"]},{"raw_affiliation_string":"College of Information Science and Technology, Nanjing Forestry University, NanjingChina","institution_ids":["https://openalex.org/I167027274"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023192257","display_name":"Zhengnan Zhang","orcid":"https://orcid.org/0000-0002-5676-5243"},"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":"Zhengnan Zhang","raw_affiliation_strings":["Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China","ORCiD"],"affiliations":[{"raw_affiliation_string":"Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China","institution_ids":["https://openalex.org/I167027274"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019411200","display_name":"Xiaoyao Fu","orcid":null},"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":"Xiaoyao Fu","raw_affiliation_strings":["Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354369","display_name":"Xinxin Chen","orcid":"https://orcid.org/0009-0000-3840-0649"},"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":"Xinxin Chen","raw_affiliation_strings":["College of Information Science and Technology, Nanjing Forestry University, Nanjing","College of Information Science and Technology, Nanjing Forestry University, NanjingChina"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Nanjing Forestry University, Nanjing","institution_ids":["https://openalex.org/I167027274"]},{"raw_affiliation_string":"College of Information Science and Technology, Nanjing Forestry University, NanjingChina","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100683470","display_name":"Fangzhou Liu","orcid":"https://orcid.org/0000-0001-5600-4017"},"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":"Fangzhou Liu","raw_affiliation_strings":["College of Information Science and Technology, Nanjing Forestry University, Nanjing","College of Information Science and Technology, Nanjing Forestry University, NanjingChina"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Nanjing Forestry University, Nanjing","institution_ids":["https://openalex.org/I167027274"]},{"raw_affiliation_string":"College of Information Science and Technology, Nanjing Forestry University, NanjingChina","institution_ids":["https://openalex.org/I167027274"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100458828"],"corresponding_institution_ids":["https://openalex.org/I167027274"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":1.5565,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.81010171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"14","issue":null,"first_page":"1603","last_page":"1618"},"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":0.9987999796867371,"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/T11880","display_name":"Forest ecology and management","score":0.996999979019165,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.6941508054733276},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6609507203102112},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6477481126785278},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6124742031097412},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5601692199707031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5538564324378967},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4252716600894928},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.4212634861469269},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36086466908454895},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09762397408485413}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6941508054733276},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6609507203102112},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6477481126785278},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6124742031097412},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5601692199707031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5538564324378967},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4252716600894928},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.4212634861469269},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36086466908454895},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09762397408485413}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2020.3046053","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3046053","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9ccd589d7f0d4930ab2f033ed1e08579","is_oa":true,"landing_page_url":"https://doaj.org/article/9ccd589d7f0d4930ab2f033ed1e08579","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":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 1603-1618 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2020.3046053","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3046053","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G5189052481","display_name":null,"funder_award_id":"31770590","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327518","display_name":"Priority Academic Program Development of Jiangsu Higher Education Institutions","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":97,"referenced_works":["https://openalex.org/W59853769","https://openalex.org/W299709162","https://openalex.org/W817044022","https://openalex.org/W1521436688","https://openalex.org/W1522301498","https://openalex.org/W1549773070","https://openalex.org/W1615474684","https://openalex.org/W1652321627","https://openalex.org/W1683511521","https://openalex.org/W1806891645","https://openalex.org/W1966580635","https://openalex.org/W1983935692","https://openalex.org/W1991576283","https://openalex.org/W2002016471","https://openalex.org/W2006286431","https://openalex.org/W2017131791","https://openalex.org/W2020691931","https://openalex.org/W2045626198","https://openalex.org/W2050271123","https://openalex.org/W2056347011","https://openalex.org/W2061427081","https://openalex.org/W2063907334","https://openalex.org/W2066916495","https://openalex.org/W2076063813","https://openalex.org/W2085625911","https://openalex.org/W2095705004","https://openalex.org/W2101365296","https://openalex.org/W2114160202","https://openalex.org/W2122410182","https://openalex.org/W2123021451","https://openalex.org/W2124297422","https://openalex.org/W2127369514","https://openalex.org/W2130458348","https://openalex.org/W2135274825","https://openalex.org/W2139053550","https://openalex.org/W2143956139","https://openalex.org/W2152515840","https://openalex.org/W2159352923","https://openalex.org/W2162298841","https://openalex.org/W2165148193","https://openalex.org/W2168178486","https://openalex.org/W2169874044","https://openalex.org/W2261059368","https://openalex.org/W2267317359","https://openalex.org/W2273297058","https://openalex.org/W2294229279","https://openalex.org/W2302803999","https://openalex.org/W2322716129","https://openalex.org/W2394716203","https://openalex.org/W2402144811","https://openalex.org/W2466877391","https://openalex.org/W2482464033","https://openalex.org/W2519882289","https://openalex.org/W2541502989","https://openalex.org/W2547578938","https://openalex.org/W2549994478","https://openalex.org/W2560609797","https://openalex.org/W2624871570","https://openalex.org/W2627081599","https://openalex.org/W2743316100","https://openalex.org/W2746411854","https://openalex.org/W2757208835","https://openalex.org/W2764034829","https://openalex.org/W2782522152","https://openalex.org/W2802076210","https://openalex.org/W2804464589","https://openalex.org/W2822665421","https://openalex.org/W2898204262","https://openalex.org/W2903282641","https://openalex.org/W2909302730","https://openalex.org/W2919115771","https://openalex.org/W2944029760","https://openalex.org/W2953384591","https://openalex.org/W2963121255","https://openalex.org/W2964121744","https://openalex.org/W2964306294","https://openalex.org/W2972415975","https://openalex.org/W2976081675","https://openalex.org/W2996489182","https://openalex.org/W2998142089","https://openalex.org/W3031105282","https://openalex.org/W3101640299","https://openalex.org/W3122279293","https://openalex.org/W4240485910","https://openalex.org/W4300427674","https://openalex.org/W6623060853","https://openalex.org/W6631190155","https://openalex.org/W6637359451","https://openalex.org/W6674330103","https://openalex.org/W6684451421","https://openalex.org/W6713134421","https://openalex.org/W6739365718","https://openalex.org/W6739778489","https://openalex.org/W6750719323","https://openalex.org/W6751595859","https://openalex.org/W6763422710","https://openalex.org/W6771982476"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W4406302447","https://openalex.org/W2901265155","https://openalex.org/W2072166414","https://openalex.org/W2956374172","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020"],"abstract_inverted_index":{"Accurately":[0],"estimating":[1],"and":[2,13,45,57,119,135,161,217,295,308],"mapping":[3],"forest":[4,11,59,92,144,151,176,304,317],"structural":[5,60,93,145,177,305],"parameters":[6,146,178,209],"are":[7],"essential":[8],"for":[9,91,126,315],"monitoring":[10],"resources":[12,318],"understanding":[14],"ecological":[15],"processes.":[16],"The":[17,100,188],"novel":[18],"deep":[19,68,79],"learning":[20,80,201],"algorithm":[21,70,81,90,123,160,197,294],"has":[22,48],"the":[23,32,49,74,83,108,113,120,127,133,138,141,157,170,192,200,206,212,225,229,252,261,275,287,292,301],"potential":[24],"to":[25,30,52,105,111,223,299],"be":[26],"a":[27,67,148,312],"promising":[28,313],"approach":[29],"improve":[31,300],"estimation":[33,95,142,307],"accuracy":[34,115,231,271,302],"while":[35,218,274],"combining":[36],"with":[37,82],"advanced":[38],"remote":[39],"sensing":[40],"technology.":[41],"Airborne":[42],"light":[43],"detection":[44],"ranging":[46],"(LiDAR)":[47],"preferable":[50],"capability":[51,136,172],"characterize":[53],"3-D":[54],"canopy":[55],"structure":[56],"estimate":[58],"parameters.":[61],"In":[62],"this":[63],"study,":[64],"we":[65],"developed":[66,125],"learning-based":[69],"(Deep-RBN)":[71],"that":[72,167,199,210],"combined":[73],"fully":[75],"connected":[76],"network":[77,88],"(FCN)":[78],"optimized":[84,114,121],"radial":[85],"basis":[86],"neural":[87],"(RBN)":[89],"parameter":[94,306],"using":[96,291],"airborne":[97,296],"LiDAR":[98,297],"data.":[99],"multiple":[101,162],"iterations":[102],"were":[103,272],"used":[104],"constantly":[106],"update":[107],"internal":[109],"weights":[110],"achieve":[112],"of":[116,137,143,152,175,191,195,205,214,254,270,277,289,303],"model":[117],"fitting,":[118],"RBN":[122],"was":[124],"limited":[128],"training":[129,255,278],"sets.":[130],"We":[131,165],"assessed":[132],"efficiency":[134],"Deep-RBN":[139,168,196,259,293],"in":[140,147,173,258],"subtropical":[149],"planted":[150],"southern":[153],"China,":[154],"by":[155],"comparing":[156],"traditional":[158],"FCN":[159],"linear":[163],"regression.":[164],"found":[166],"had":[169,228],"strongest":[171],"estimates":[174],"(R":[179],"<sup":[180],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[181],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[182],"=":[183,186,235,240,244,249],"0.67-0.86,":[184],"rRMSE":[185],"6.95%-20.34%).":[187],"sensitivity":[189],"analysis":[190],"key":[193],"hyperparameters":[194],"showed":[198],"rate":[202],"is":[203,222,280],"one":[204],"most":[207],"important":[208],"influence":[211],"performance":[213],"predictive":[215,226,262],"models,":[216],"its":[219],"value":[220],"equal":[221],"0.001,":[224],"models":[227,263],"highest":[230],"(mean":[232],"DBH:":[233],"RMSE":[234,239,243,248],"1.01,":[236],"mean":[237],"height:":[238],"1.45,":[241],"volume:":[242],"26.49,":[245],"stem":[246],"density:":[247],"121.06).":[250],"With":[251],"increase":[253],"samples":[256],"added":[257],"model,":[260],"performed":[264],"better;":[265],"however,":[266],"no":[267],"significant":[268],"improvements":[269],"observed":[273],"number":[276],"set":[279],"larger":[281],"than":[282],"80.":[283],"This":[284],"study":[285],"demonstrates":[286],"benefits":[288],"jointly":[290],"data":[298],"mapping,":[309],"which":[310],"provides":[311],"methodology":[314],"sustainable":[316],"monitoring.":[319]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":5}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
