{"id":"https://openalex.org/W3196466396","doi":"https://doi.org/10.3390/s21175974","title":"The Effect of Synergistic Approaches of Features and Ensemble Learning Algorithms on Aboveground Biomass Estimation of Natural Secondary Forests Based on ALS and Landsat 8","display_name":"The Effect of Synergistic Approaches of Features and Ensemble Learning Algorithms on Aboveground Biomass Estimation of Natural Secondary Forests Based on ALS and Landsat 8","publication_year":2021,"publication_date":"2021-09-06","ids":{"openalex":"https://openalex.org/W3196466396","doi":"https://doi.org/10.3390/s21175974","mag":"3196466396","pmid":"https://pubmed.ncbi.nlm.nih.gov/34502867"},"language":"en","primary_location":{"id":"doi:10.3390/s21175974","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21175974","pdf_url":"https://www.mdpi.com/1424-8220/21/17/5974/pdf?version=1631694707","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/17/5974/pdf?version=1631694707","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049242658","display_name":"Chunyu Du","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156294","display_name":"Jilin Provincial Academy of Forestry Science","ror":"https://ror.org/05jfw1444","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210156294"]},{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyu Du","raw_affiliation_strings":["Jilin Forestry Research Institute, Jilin 132013, China","School of Forestry, Northeast Forestry University, Harbin 150040, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jilin Forestry Research Institute, Jilin 132013, China","institution_ids":["https://openalex.org/I4210156294"]},{"raw_affiliation_string":"School of Forestry, Northeast Forestry University, Harbin 150040, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380551","display_name":"Wenyi Fan","orcid":"https://orcid.org/0000-0003-0626-2020"},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyi Fan","raw_affiliation_strings":["Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China","School of Forestry, Northeast Forestry University, Harbin 150040, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China","institution_ids":["https://openalex.org/I47689461"]},{"raw_affiliation_string":"School of Forestry, Northeast Forestry University, Harbin 150040, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100692187","display_name":"Ye Ma","orcid":"https://orcid.org/0000-0002-6476-6967"},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Ma","raw_affiliation_strings":["School of Forestry, Northeast Forestry University, Harbin 150040, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Forestry, Northeast Forestry University, Harbin 150040, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057741948","display_name":"Hung-Il Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hung-Il Jin","raw_affiliation_strings":["Faculty of Forest Science, Kim Il Sung University, Pyongyang 999093, Democratic People\u2019s Republic of Korea","School of Forestry, Northeast Forestry University, Harbin 150040, China","Faculty of Forest Science, Kim Il Sung University, Pyongyang 999093, Democratic People's Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Forest Science, Kim Il Sung University, Pyongyang 999093, Democratic People\u2019s Republic of Korea","institution_ids":[]},{"raw_affiliation_string":"School of Forestry, Northeast Forestry University, Harbin 150040, China","institution_ids":["https://openalex.org/I47689461"]},{"raw_affiliation_string":"Faculty of Forest Science, Kim Il Sung University, Pyongyang 999093, Democratic People's Republic of Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070956450","display_name":"Zhen Zhen","orcid":"https://orcid.org/0000-0001-9281-4260"},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhen Zhen","raw_affiliation_strings":["Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China","School of Forestry, Northeast Forestry University, Harbin 150040, China"],"raw_orcid":"https://orcid.org/0000-0001-9281-4260","affiliations":[{"raw_affiliation_string":"Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China","institution_ids":["https://openalex.org/I47689461"]},{"raw_affiliation_string":"School of Forestry, Northeast Forestry University, Harbin 150040, China","institution_ids":["https://openalex.org/I47689461"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070956450"],"corresponding_institution_ids":["https://openalex.org/I47689461"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":1.7871,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.83014136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"21","issue":"17","first_page":"5974","last_page":"5974"},"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":0.9994999766349792,"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":0.9955999851226807,"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/algorithm","display_name":"Algorithm","score":0.6045010685920715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5764988660812378},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5717997550964355},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5630879402160645},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5628122687339783},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5334553718566895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.516565203666687},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49454447627067566},{"id":"https://openalex.org/keywords/biomass","display_name":"Biomass (ecology)","score":0.46399471163749695},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4524572491645813},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44004034996032715},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3944742977619171},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32039403915405273},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2184864580631256},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0946807861328125},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.0668782889842987}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6045010685920715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5764988660812378},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5717997550964355},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5630879402160645},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5628122687339783},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5334553718566895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.516565203666687},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49454447627067566},{"id":"https://openalex.org/C115540264","wikidata":"https://www.wikidata.org/wiki/Q2945560","display_name":"Biomass (ecology)","level":2,"score":0.46399471163749695},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4524572491645813},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44004034996032715},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3944742977619171},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32039403915405273},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2184864580631256},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0946807861328125},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0668782889842987},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007834","descriptor_name":"Lasers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007834","descriptor_name":"Lasers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007834","descriptor_name":"Lasers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018533","descriptor_name":"Biomass","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018533","descriptor_name":"Biomass","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018533","descriptor_name":"Biomass","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D065928","descriptor_name":"Forests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D065928","descriptor_name":"Forests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D065928","descriptor_name":"Forests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21175974","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21175974","pdf_url":"https://www.mdpi.com/1424-8220/21/17/5974/pdf?version=1631694707","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:34502867","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34502867","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:acf490bd313d41d2ab559da6fb4a939a","is_oa":true,"landing_page_url":"https://doaj.org/article/acf490bd313d41d2ab559da6fb4a939a","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":"Sensors, Vol 21, Iss 17, p 5974 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/17/5974/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21175974","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":"Sensors; Volume 21; Issue 17; Pages: 5974","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8434651","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8434651","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21175974","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21175974","pdf_url":"https://www.mdpi.com/1424-8220/21/17/5974/pdf?version=1631694707","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life in Land","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G3659059467","display_name":null,"funder_award_id":"32071677","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7238277133","display_name":null,"funder_award_id":"2572019CP15","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":116,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W60310328","https://openalex.org/W239349999","https://openalex.org/W633320881","https://openalex.org/W1177863458","https://openalex.org/W1498436455","https://openalex.org/W1538131130","https://openalex.org/W1966946865","https://openalex.org/W1967631019","https://openalex.org/W1970840899","https://openalex.org/W1974902368","https://openalex.org/W1977761893","https://openalex.org/W1978642993","https://openalex.org/W1981855554","https://openalex.org/W1989401377","https://openalex.org/W1994809198","https://openalex.org/W1995095340","https://openalex.org/W1998779060","https://openalex.org/W2000102737","https://openalex.org/W2002730835","https://openalex.org/W2004520553","https://openalex.org/W2008674189","https://openalex.org/W2012519352","https://openalex.org/W2020520344","https://openalex.org/W2021897163","https://openalex.org/W2029449972","https://openalex.org/W2040996383","https://openalex.org/W2046443332","https://openalex.org/W2047744778","https://openalex.org/W2047933096","https://openalex.org/W2050252739","https://openalex.org/W2052402549","https://openalex.org/W2052438412","https://openalex.org/W2053481940","https://openalex.org/W2056337900","https://openalex.org/W2056968878","https://openalex.org/W2062979841","https://openalex.org/W2069013980","https://openalex.org/W2069959013","https://openalex.org/W2077116289","https://openalex.org/W2083468770","https://openalex.org/W2090435005","https://openalex.org/W2092491956","https://openalex.org/W2097192876","https://openalex.org/W2097492507","https://openalex.org/W2101447269","https://openalex.org/W2111072639","https://openalex.org/W2118935088","https://openalex.org/W2120597179","https://openalex.org/W2127354426","https://openalex.org/W2127458053","https://openalex.org/W2129186929","https://openalex.org/W2137875032","https://openalex.org/W2147505588","https://openalex.org/W2148338050","https://openalex.org/W2149219405","https://openalex.org/W2155863249","https://openalex.org/W2158958908","https://openalex.org/W2158982427","https://openalex.org/W2159162331","https://openalex.org/W2161477252","https://openalex.org/W2166298943","https://openalex.org/W2167249875","https://openalex.org/W2168273417","https://openalex.org/W2168958922","https://openalex.org/W2188712988","https://openalex.org/W2193261635","https://openalex.org/W2213617029","https://openalex.org/W2278845379","https://openalex.org/W2295598076","https://openalex.org/W2300759245","https://openalex.org/W2322716129","https://openalex.org/W2326961130","https://openalex.org/W2354456962","https://openalex.org/W2416310637","https://openalex.org/W2465992516","https://openalex.org/W2507428124","https://openalex.org/W2515041732","https://openalex.org/W2537043687","https://openalex.org/W2606882353","https://openalex.org/W2618530766","https://openalex.org/W2745173863","https://openalex.org/W2761205564","https://openalex.org/W2765686626","https://openalex.org/W2794636625","https://openalex.org/W2799703355","https://openalex.org/W2803507394","https://openalex.org/W2884983756","https://openalex.org/W2888342353","https://openalex.org/W2891746825","https://openalex.org/W2911964244","https://openalex.org/W2913851887","https://openalex.org/W2922437453","https://openalex.org/W2932477389","https://openalex.org/W2947344270","https://openalex.org/W2947830067","https://openalex.org/W2950674916","https://openalex.org/W2968002145","https://openalex.org/W2979348177","https://openalex.org/W2990006157","https://openalex.org/W2990294132","https://openalex.org/W2997264365","https://openalex.org/W3011636776","https://openalex.org/W3028081629","https://openalex.org/W3028846249","https://openalex.org/W3031909544","https://openalex.org/W3049530120","https://openalex.org/W3130219998","https://openalex.org/W3156622514","https://openalex.org/W4251356425","https://openalex.org/W6602405753","https://openalex.org/W6632100814","https://openalex.org/W6645714515","https://openalex.org/W6723423802","https://openalex.org/W6763424338","https://openalex.org/W7054668349"],"related_works":["https://openalex.org/W4386259002","https://openalex.org/W4372048956","https://openalex.org/W4206989953","https://openalex.org/W4283776244","https://openalex.org/W2944292463","https://openalex.org/W3014252901","https://openalex.org/W2188759683","https://openalex.org/W4317376680","https://openalex.org/W4360777922","https://openalex.org/W3208169454"],"abstract_inverted_index":{"Although":[0],"the":[1,20,26,55,58,91,117,121,125,163,167,172,175],"combination":[2,123],"of":[3,22,29,57,64,77,101,112,124,148,157,190,192],"Airborne":[4],"Laser":[5],"Scanning":[6],"(ALS)":[7],"data":[8,31,69],"and":[9,12,32,70,83,90,171,198],"optical":[10],"imagery":[11],"machine":[13,143],"learning":[14,34,144,159],"algorithms":[15,35,145],"were":[16],"proved":[17],"to":[18,53,115,120,140,166],"improve":[19,116],"estimation":[21,63,103],"aboveground":[23],"biomass":[24],"(AGB),":[25],"synergistic":[27,75],"approaches":[28],"different":[30],"ensemble":[33,158],"have":[36],"not":[37],"been":[38],"fully":[39],"investigated,":[40],"especially":[41],"for":[42,185],"natural":[43],"secondary":[44],"forests":[45],"(NSFs)":[46],"with":[47,174],"complex":[48],"structures.":[49],"This":[50,180],"study":[51,181],"aimed":[52],"explore":[54],"effects":[56],"two":[59],"factors":[60],"on":[61,67],"AGB":[62,102,188],"NSFs":[65,191],"based":[66],"ALS":[68,93],"Landsat":[71,87],"8":[72,88],"imagery.":[73],"The":[74,131,150],"method":[76],"extracting":[78],"novel":[79],"features":[80,89,127,197],"(i.e.,":[81,95],"COLI1":[82],"COLI2)":[84],"using":[85,195],"optimal":[86],"best-performing":[92],"feature":[94],"elevation":[96],"mean)":[97],"yielded":[98],"higher":[99],"accuracy":[100,118],"than":[104],"either":[105],"optical-only":[106],"or":[107],"ALS-only":[108],"features.":[109,149],"However,":[110],"both":[111],"them":[113],"failed":[114],"compared":[119,165],"simple":[122],"untransformed":[126],"that":[128],"generated":[129],"them.":[130],"convolutional":[132],"neural":[133],"networks":[134],"(CNN)":[135],"model":[136],"was":[137],"much":[138],"superior":[139],"other":[141],"classic":[142],"no":[146],"matter":[147],"stacked":[151],"generalization":[152],"(SG)":[153],"algorithms,":[154,160],"a":[155,186],"kind":[156],"greatly":[161],"improved":[162],"accuracies":[164],"corresponding":[168],"base":[169],"model,":[170],"SG":[173],"CNN":[176],"meta-model":[177],"performed":[178],"best.":[179],"provides":[182],"technical":[183],"support":[184],"wall-to-wall":[187],"mapping":[189],"northeastern":[193],"China":[194],"efficient":[196],"algorithms.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2021-09-13T00:00:00"}