{"id":"https://openalex.org/W3010730615","doi":"https://doi.org/10.3390/rs12050871","title":"Estimating the Growing Stem Volume of Chinese Pine and Larch Plantations based on Fused Optical Data Using an Improved Variable Screening Method and Stacking Algorithm","display_name":"Estimating the Growing Stem Volume of Chinese Pine and Larch Plantations based on Fused Optical Data Using an Improved Variable Screening Method and Stacking Algorithm","publication_year":2020,"publication_date":"2020-03-09","ids":{"openalex":"https://openalex.org/W3010730615","doi":"https://doi.org/10.3390/rs12050871","mag":"3010730615"},"language":"en","primary_location":{"id":"doi:10.3390/rs12050871","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12050871","pdf_url":"https://www.mdpi.com/2072-4292/12/5/871/pdf","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/12/5/871/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100406080","display_name":"Xinyu Li","orcid":"https://orcid.org/0000-0001-6678-8660"},"institutions":[{"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/I916048824","display_name":"Hunan First Normal University","ror":"https://ror.org/00s9d1a36","country_code":"CN","type":"education","lineage":["https://openalex.org/I916048824"]},{"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/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":"Xinyu Li","raw_affiliation_strings":["Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security for Hunan Province, Changsha 410004, China","Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China","Research Center of Forestry Remote Sensing & Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China","School of Information Science and Engineering, Hunan First Normal University, Changsha 410205, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security for Hunan Province, Changsha 410004, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China","institution_ids":["https://openalex.org/I4210134523"]},{"raw_affiliation_string":"Research Center of Forestry Remote Sensing & 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":"School of Information Science and Engineering, Hunan First Normal University, Changsha 410205, China","institution_ids":["https://openalex.org/I916048824"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007721343","display_name":"Zhaohua Liu","orcid":"https://orcid.org/0000-0002-6597-4741"},"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/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]},{"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":"Zhaohua Liu","raw_affiliation_strings":["Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security for Hunan Province, Changsha 410004, China","Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China","Research Center of Forestry Remote Sensing & Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security for Hunan Province, Changsha 410004, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China","institution_ids":["https://openalex.org/I4210134523"]},{"raw_affiliation_string":"Research Center of Forestry Remote Sensing & 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/A5100384030","display_name":"Hui Lin","orcid":"https://orcid.org/0000-0002-1151-7705"},"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/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]},{"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":true,"raw_author_name":"Hui Lin","raw_affiliation_strings":["Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security for Hunan Province, Changsha 410004, China","Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China","Research Center of Forestry Remote Sensing & Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security for Hunan Province, Changsha 410004, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China","institution_ids":["https://openalex.org/I4210134523"]},{"raw_affiliation_string":"Research Center of Forestry Remote Sensing & 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/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/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/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"]},{"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","US"],"is_corresponding":false,"raw_author_name":"Guangxing Wang","raw_affiliation_strings":["Department of Geography and Environmental Resources, Southern Illinois University, Carbondale, IL 62901, USA","Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security for Hunan Province, Changsha 410004, China","Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China","Research Center of Forestry Remote Sensing & Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China"],"affiliations":[{"raw_affiliation_string":"Department of Geography and Environmental Resources, Southern Illinois University, Carbondale, IL 62901, USA","institution_ids":["https://openalex.org/I110378019"]},{"raw_affiliation_string":"Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security for Hunan Province, Changsha 410004, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China","institution_ids":["https://openalex.org/I4210134523"]},{"raw_affiliation_string":"Research Center of Forestry Remote Sensing & 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/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"]},{"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":"Hua Sun","raw_affiliation_strings":["Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security for Hunan Province, Changsha 410004, China","Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China","Research Center of Forestry Remote Sensing & Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security for Hunan Province, Changsha 410004, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China","institution_ids":["https://openalex.org/I4210134523"]},{"raw_affiliation_string":"Research Center of Forestry Remote Sensing & 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/A5081564636","display_name":"Jiangping Long","orcid":"https://orcid.org/0000-0001-9971-5505"},"institutions":[{"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"]},{"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/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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangping Long","raw_affiliation_strings":["Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security for Hunan Province, Changsha 410004, China","Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China","Research Center of Forestry Remote Sensing & Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security for Hunan Province, Changsha 410004, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China","institution_ids":["https://openalex.org/I4210134523"]},{"raw_affiliation_string":"Research Center of Forestry Remote Sensing & Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China","institution_ids":["https://openalex.org/I119273862","https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100437813","display_name":"Meng Zhang","orcid":"https://orcid.org/0000-0003-3082-9410"},"institutions":[{"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"]},{"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/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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Zhang","raw_affiliation_strings":["Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security for Hunan Province, Changsha 410004, China","Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China","Research Center of Forestry Remote Sensing & Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security for Hunan Province, Changsha 410004, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China","institution_ids":["https://openalex.org/I4210134523"]},{"raw_affiliation_string":"Research Center of Forestry Remote Sensing & Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China","institution_ids":["https://openalex.org/I119273862","https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100384030"],"corresponding_institution_ids":["https://openalex.org/I119273862","https://openalex.org/I139660479","https://openalex.org/I4210134523"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.1899,"has_fulltext":true,"cited_by_count":32,"citation_normalized_percentile":{"value":0.86056617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"12","issue":"5","first_page":"871","last_page":"871"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9991999864578247,"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":0.9991999864578247,"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/feature-selection","display_name":"Feature selection","score":0.7595639228820801},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7314783930778503},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6810283660888672},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5511891841888428},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4894007742404938},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.45129817724227905},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4418809115886688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3798210620880127},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.369417279958725},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.337274968624115},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12999948859214783}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7595639228820801},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7314783930778503},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6810283660888672},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5511891841888428},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4894007742404938},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.45129817724227905},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4418809115886688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3798210620880127},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.369417279958725},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.337274968624115},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12999948859214783},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs12050871","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12050871","pdf_url":"https://www.mdpi.com/2072-4292/12/5/871/pdf","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:493041478a18427db32d8bbf0749e882","is_oa":true,"landing_page_url":"https://doaj.org/article/493041478a18427db32d8bbf0749e882","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":"Remote Sensing, Vol 12, Iss 5, p 871 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/5/871/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12050871","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","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs12050871","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12050871","pdf_url":"https://www.mdpi.com/2072-4292/12/5/871/pdf","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3010730615.pdf","grobid_xml":"https://content.openalex.org/works/W3010730615.grobid-xml"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W990900641","https://openalex.org/W1964687477","https://openalex.org/W1971870174","https://openalex.org/W1974307287","https://openalex.org/W1976044762","https://openalex.org/W1978494876","https://openalex.org/W1987604918","https://openalex.org/W1993390623","https://openalex.org/W2007442925","https://openalex.org/W2008675039","https://openalex.org/W2012519352","https://openalex.org/W2019197965","https://openalex.org/W2028440779","https://openalex.org/W2029950324","https://openalex.org/W2038420319","https://openalex.org/W2050269337","https://openalex.org/W2052546320","https://openalex.org/W2055162110","https://openalex.org/W2060170493","https://openalex.org/W2064289726","https://openalex.org/W2086567813","https://openalex.org/W2090166704","https://openalex.org/W2097492507","https://openalex.org/W2113249705","https://openalex.org/W2129103626","https://openalex.org/W2129132239","https://openalex.org/W2129428798","https://openalex.org/W2137882837","https://openalex.org/W2143010534","https://openalex.org/W2145979309","https://openalex.org/W2147475079","https://openalex.org/W2154560360","https://openalex.org/W2164092415","https://openalex.org/W2235663366","https://openalex.org/W2252893602","https://openalex.org/W2263939288","https://openalex.org/W2295598076","https://openalex.org/W2302803999","https://openalex.org/W2320803233","https://openalex.org/W2416310637","https://openalex.org/W2418581485","https://openalex.org/W2508131240","https://openalex.org/W2516126746","https://openalex.org/W2589181229","https://openalex.org/W2607709490","https://openalex.org/W2759342867","https://openalex.org/W2765260274","https://openalex.org/W2780445893","https://openalex.org/W2794437207","https://openalex.org/W2801958376","https://openalex.org/W2886241460","https://openalex.org/W2895091864","https://openalex.org/W2906586493","https://openalex.org/W2910829991","https://openalex.org/W2920828326","https://openalex.org/W2924764611","https://openalex.org/W2945690346","https://openalex.org/W2966302898","https://openalex.org/W2966361671","https://openalex.org/W2967353317","https://openalex.org/W2974516669","https://openalex.org/W2979773754","https://openalex.org/W3094588856","https://openalex.org/W3105389178","https://openalex.org/W3106063097","https://openalex.org/W6657515882","https://openalex.org/W6679218201","https://openalex.org/W6725533128","https://openalex.org/W6760498817","https://openalex.org/W6760860515"],"related_works":["https://openalex.org/W4396689146","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W2004826645","https://openalex.org/W4388745254","https://openalex.org/W2980082554","https://openalex.org/W1517228774","https://openalex.org/W2767419625","https://openalex.org/W2389704471","https://openalex.org/W4386564352"],"abstract_inverted_index":{"Accurately":[0],"estimating":[1],"growing":[2],"stem":[3],"volume":[4],"(GSV)":[5],"is":[6,16],"very":[7],"important":[8],"for":[9,34,166,373,398],"forest":[10,39,164],"resource":[11],"management.":[12],"The":[13,170,225,261],"GSV":[14,42,194,252,297,349,400],"estimation":[15,26,83,202,253,285,326,350,401],"affected":[17],"by":[18,100,312],"remote":[19],"sensing":[20],"images,":[21,91,235,390],"variable":[22,134,168,289,316,391],"selection":[23,290,317,392],"methods,":[24,318],"and":[25,43,54,59,68,96,121,136,147,154,162,175,190,206,223,232,258,274,284,302,315,340,359,361,371,376,394,405],"algorithms.":[27],"Optical":[28],"images":[29,77,98,270],"have":[30],"been":[31],"widely":[32],"used":[33,115],"modeling":[35,396],"key":[36],"attributes":[37],"of":[38,48,71,82,193,241,255,278,281,308,332,348,356,369,402],"stands,":[40],"including":[41,208],"aboveground":[44],"biomass":[45],"(AGB),":[46],"because":[47],"their":[49],"easy":[50],"availability,":[51],"large":[52],"coverage":[53],"related":[55],"mature":[56],"data":[57,65,126],"processing":[58],"analysis":[60,160],"technologies.":[61],"However,":[62],"the":[63,69,80,105,110,143,157,173,183,188,198,237,251,279,282,287,309,313,319,330,333,338,345,352,362,399],"low":[64],"saturation":[66,191],"level":[67,192],"difficulty":[70],"selecting":[72],"feature":[73,119,133,167,179],"variables":[74,120,180,185],"from":[75],"optical":[76,389],"often":[78],"impede":[79],"improvement":[81],"accuracy.":[84],"In":[85,304],"this":[86],"research,":[87],"two":[88],"GaoFen-2":[89],"(GF-2)":[90],"a":[92,137],"Landsat":[93,106,233,246],"8":[94,234,247],"image,":[95],"fused":[97,238,269,334],"created":[99],"integrating":[101],"GF-2":[102,231,242],"bands":[103],"with":[104,156,230,245,300,337,351],"multispectral":[107,248],"image":[108,239,249,263,335],"using":[109],"Gram\u2013Schmidt":[111],"method":[112,291],"were":[113,204],"first":[114],"to":[116,294,344,386],"derive":[117],"various":[118,123],"obtain":[122],"datasets":[124,283,314],"or":[125],"scenarios.":[127],"A":[128],"DC-FSCK":[129,171,292,339],"approach":[130],"that":[131,182,228],"integrates":[132],"screening":[135],"combination":[138,176,331],"optimization":[139],"procedure":[140],"based":[141],"on":[142,384],"distance":[144],"correlation":[145],"coefficient":[146],"k-nearest":[148],"neighbors":[149],"(kNN)":[150],"algorithm":[151,321,342],"was":[152],"proposed":[153,199,288],"compared":[155,229,299],"stepwise":[158],"regression":[159],"(SRA)":[161],"random":[163],"(RF)":[165],"selection.":[169],"considers":[172],"self-correlation":[174],"effect":[177],"among":[178],"so":[181],"selected":[184],"can":[186],"improve":[187],"accuracy":[189,254],"estimation.":[195],"To":[196],"validate":[197],"approach,":[200],"six":[201],"algorithms":[203,397],"examined":[205],"compared,":[207],"Multiple":[209],"Linear":[210],"Regression":[211,216],"(MLR),":[212],"kNN,":[213],"Support":[214],"Vector":[215],"(SVR),":[217],"RF,":[218],"eXtreme":[219],"Gradient":[220],"Boosting":[221],"(XGBoost)":[222],"Stacking.":[224],"results":[226],"showed":[227],"overall,":[236],"(Red_Landsat)":[240],"red":[243],"band":[244],"improved":[250],"Chinese":[256,374,403],"pine":[257,375,404],"larch":[259,406],"plantations.":[260,407],"Red_Landsat":[262,336],"also":[264],"performed":[265,322],"better":[266,323],"than":[267,324],"other":[268,325],"(Pan_Landsat,":[271],"Blue_Landsat,":[272],"Green_Landsat":[273],"Nir_Landsat).":[275],"For":[276],"most":[277,307],"combinations":[280,310],"models,":[286],"led":[293,343],"more":[295],"accurate":[296],"estimates":[298],"SRA":[301],"RF.":[303],"addition,":[305],"in":[306],"obtained":[311],"Stacking":[320,341],"models.":[327],"More":[328],"importantly,":[329],"best":[346],"performance":[347],"greatest":[353],"adjusted":[354],"coefficients":[355],"determination,":[357],"0.8127":[358],"0.6047,":[360],"smallest":[363],"relative":[364],"root":[365],"mean":[366],"square":[367],"errors":[368],"17.1%":[370],"20.7%":[372],"larch,":[377],"respectively.":[378],"This":[379],"study":[380],"provided":[381],"new":[382],"insights":[383],"how":[385],"choose":[387],"suitable":[388],"methods":[393],"optimal":[395]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
