{"id":"https://openalex.org/W2338625058","doi":"https://doi.org/10.3390/rs8040339","title":"Estimating Stand Volume and Above-Ground Biomass of Urban Forests Using LiDAR","display_name":"Estimating Stand Volume and Above-Ground Biomass of Urban Forests Using LiDAR","publication_year":2016,"publication_date":"2016-04-19","ids":{"openalex":"https://openalex.org/W2338625058","doi":"https://doi.org/10.3390/rs8040339","mag":"2338625058"},"language":"en","primary_location":{"id":"doi:10.3390/rs8040339","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs8040339","pdf_url":"https://www.mdpi.com/2072-4292/8/4/339/pdf?version=1461072673","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/2072-4292/8/4/339/pdf?version=1461072673","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004141153","display_name":"Vincenzo Giannico","orcid":"https://orcid.org/0000-0002-9907-3730"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Vincenzo Giannico","raw_affiliation_strings":["Department of Scienze Agro-Ambientali e Territoriali, University of Bari Aldo Moro, Via Amendola 165/A 70126 Bari, Italy"],"raw_orcid":"https://orcid.org/0000-0002-9907-3730","affiliations":[{"raw_affiliation_string":"Department of Scienze Agro-Ambientali e Territoriali, University of Bari Aldo Moro, Via Amendola 165/A 70126 Bari, Italy","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024501248","display_name":"Raffaele Lafortezza","orcid":"https://orcid.org/0000-0003-4642-8435"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]},{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["IT","US"],"is_corresponding":false,"raw_author_name":"Raffaele Lafortezza","raw_affiliation_strings":["Center for Global Change and Earth Observations (CGCEO), Michigan State University, East Lansing, MI 48823, USA","Department of Scienze Agro-Ambientali e Territoriali, University of Bari Aldo Moro, Via Amendola 165/A 70126 Bari, Italy"],"raw_orcid":"https://orcid.org/0000-0003-4642-8435","affiliations":[{"raw_affiliation_string":"Center for Global Change and Earth Observations (CGCEO), Michigan State University, East Lansing, MI 48823, USA","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Department of Scienze Agro-Ambientali e Territoriali, University of Bari Aldo Moro, Via Amendola 165/A 70126 Bari, Italy","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087491304","display_name":"Ranjeet John","orcid":"https://orcid.org/0000-0002-0150-8450"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ranjeet John","raw_affiliation_strings":["Center for Global Change and Earth Observations (CGCEO), Michigan State University, East Lansing, MI 48823, USA"],"raw_orcid":"https://orcid.org/0000-0002-0150-8450","affiliations":[{"raw_affiliation_string":"Center for Global Change and Earth Observations (CGCEO), Michigan State University, East Lansing, MI 48823, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019753168","display_name":"Giovanni Sanesi","orcid":"https://orcid.org/0000-0002-4218-3605"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Sanesi","raw_affiliation_strings":["Department of Scienze Agro-Ambientali e Territoriali, University of Bari Aldo Moro, Via Amendola 165/A 70126 Bari, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Scienze Agro-Ambientali e Territoriali, University of Bari Aldo Moro, Via Amendola 165/A 70126 Bari, Italy","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014230516","display_name":"Lucia Pesola","orcid":"https://orcid.org/0000-0001-6140-7435"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lucia Pesola","raw_affiliation_strings":["Department of Scienze Agro-Ambientali e Territoriali, University of Bari Aldo Moro, Via Amendola 165/A 70126 Bari, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Scienze Agro-Ambientali e Territoriali, University of Bari Aldo Moro, Via Amendola 165/A 70126 Bari, Italy","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055823556","display_name":"Jiquan Chen","orcid":"https://orcid.org/0000-0003-0761-9458"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiquan Chen","raw_affiliation_strings":["Center for Global Change and Earth Observations (CGCEO), Michigan State University, East Lansing, MI 48823, USA"],"raw_orcid":"https://orcid.org/0000-0003-0761-9458","affiliations":[{"raw_affiliation_string":"Center for Global Change and Earth Observations (CGCEO), Michigan State University, East Lansing, MI 48823, USA","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5004141153"],"corresponding_institution_ids":["https://openalex.org/I5561750"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":6.9285,"has_fulltext":true,"cited_by_count":84,"citation_normalized_percentile":{"value":0.97204308,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"8","issue":"4","first_page":"339","last_page":"339"},"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":0.9986000061035156,"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":0.9979000091552734,"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":0.8145301342010498},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.7478086352348328},{"id":"https://openalex.org/keywords/tree-allometry","display_name":"Tree allometry","score":0.6146551370620728},{"id":"https://openalex.org/keywords/basal-area","display_name":"Basal area","score":0.6022518873214722},{"id":"https://openalex.org/keywords/proxy","display_name":"Proxy (statistics)","score":0.6005176305770874},{"id":"https://openalex.org/keywords/percentile","display_name":"Percentile","score":0.5739680528640747},{"id":"https://openalex.org/keywords/forest-inventory","display_name":"Forest inventory","score":0.5670480728149414},{"id":"https://openalex.org/keywords/forest-management","display_name":"Forest management","score":0.5079558491706848},{"id":"https://openalex.org/keywords/weibull-distribution","display_name":"Weibull distribution","score":0.48371604084968567},{"id":"https://openalex.org/keywords/biomass","display_name":"Biomass (ecology)","score":0.44842416048049927},{"id":"https://openalex.org/keywords/physical-geography","display_name":"Physical geography","score":0.3710876703262329},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.33286041021347046},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.29491889476776123},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.28424566984176636},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.2756010890007019},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23361876606941223},{"id":"https://openalex.org/keywords/agroforestry","display_name":"Agroforestry","score":0.19363471865653992},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18638759851455688}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8145301342010498},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.7478086352348328},{"id":"https://openalex.org/C34153902","wikidata":"https://www.wikidata.org/wiki/Q2838628","display_name":"Tree allometry","level":4,"score":0.6146551370620728},{"id":"https://openalex.org/C91354502","wikidata":"https://www.wikidata.org/wiki/Q830384","display_name":"Basal area","level":2,"score":0.6022518873214722},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.6005176305770874},{"id":"https://openalex.org/C122048520","wikidata":"https://www.wikidata.org/wiki/Q2913954","display_name":"Percentile","level":2,"score":0.5739680528640747},{"id":"https://openalex.org/C147103442","wikidata":"https://www.wikidata.org/wiki/Q1423188","display_name":"Forest inventory","level":3,"score":0.5670480728149414},{"id":"https://openalex.org/C28631016","wikidata":"https://www.wikidata.org/wiki/Q372561","display_name":"Forest management","level":2,"score":0.5079558491706848},{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.48371604084968567},{"id":"https://openalex.org/C115540264","wikidata":"https://www.wikidata.org/wiki/Q2945560","display_name":"Biomass (ecology)","level":2,"score":0.44842416048049927},{"id":"https://openalex.org/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","level":1,"score":0.3710876703262329},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.33286041021347046},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.29491889476776123},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.28424566984176636},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.2756010890007019},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23361876606941223},{"id":"https://openalex.org/C54286561","wikidata":"https://www.wikidata.org/wiki/Q397350","display_name":"Agroforestry","level":1,"score":0.19363471865653992},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18638759851455688},{"id":"https://openalex.org/C42060753","wikidata":"https://www.wikidata.org/wiki/Q16842156","display_name":"Biomass partitioning","level":3,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/rs8040339","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs8040339","pdf_url":"https://www.mdpi.com/2072-4292/8/4/339/pdf?version=1461072673","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:2b0472d604974d60b36127609a0b6c58","is_oa":true,"landing_page_url":"https://doaj.org/article/2b0472d604974d60b36127609a0b6c58","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 8, Iss 4, p 339 (2016)","raw_type":"article"},{"id":"pmh:oai:hub.hku.hk:10722/251163","is_oa":false,"landing_page_url":"http://hdl.handle.net/10722/251163","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:mdpi.com:/2072-4292/8/4/339/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs8040339","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 8; Issue 4; Pages: 339","raw_type":"Text"},{"id":"pmh:oai:ricerca.uniba.it:11586/172755","is_oa":true,"landing_page_url":"http://hdl.handle.net/11586/172755","pdf_url":null,"source":{"id":"https://openalex.org/S4377196296","display_name":"CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5561750","host_organization_name":"University of Bari Aldo Moro","host_organization_lineage":["https://openalex.org/I5561750"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.3390/rs8040339","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs8040339","pdf_url":"https://www.mdpi.com/2072-4292/8/4/339/pdf?version=1461072673","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":[{"display_name":"Sustainable cities and communities","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1010037840","display_name":null,"funder_award_id":"PRIN 2012","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"},{"id":"https://openalex.org/G879484318","display_name":null,"funder_award_id":"603567","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321873","display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca","ror":"https://ror.org/0166hxq48"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2338625058.pdf","grobid_xml":"https://content.openalex.org/works/W2338625058.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W184177520","https://openalex.org/W269427231","https://openalex.org/W1496824059","https://openalex.org/W1513618424","https://openalex.org/W1551469744","https://openalex.org/W1944386082","https://openalex.org/W1980433106","https://openalex.org/W1995095340","https://openalex.org/W1995803303","https://openalex.org/W1996263757","https://openalex.org/W1999947908","https://openalex.org/W2000345291","https://openalex.org/W2022723576","https://openalex.org/W2027672019","https://openalex.org/W2027709818","https://openalex.org/W2036320532","https://openalex.org/W2043516695","https://openalex.org/W2051586552","https://openalex.org/W2052992752","https://openalex.org/W2054844722","https://openalex.org/W2055755105","https://openalex.org/W2056805770","https://openalex.org/W2057911252","https://openalex.org/W2059221395","https://openalex.org/W2063396028","https://openalex.org/W2065222047","https://openalex.org/W2074706991","https://openalex.org/W2076712994","https://openalex.org/W2083414486","https://openalex.org/W2090626710","https://openalex.org/W2092006720","https://openalex.org/W2093830434","https://openalex.org/W2095978156","https://openalex.org/W2096181277","https://openalex.org/W2108626615","https://openalex.org/W2111841011","https://openalex.org/W2113521108","https://openalex.org/W2113782183","https://openalex.org/W2121362709","https://openalex.org/W2121473670","https://openalex.org/W2136245122","https://openalex.org/W2139053550","https://openalex.org/W2148523855","https://openalex.org/W2151549592","https://openalex.org/W2155714399","https://openalex.org/W2162298841","https://openalex.org/W2162527214","https://openalex.org/W2168178486","https://openalex.org/W2169687028","https://openalex.org/W2179386986","https://openalex.org/W2291471409","https://openalex.org/W2340847604","https://openalex.org/W2898769006","https://openalex.org/W3023447741","https://openalex.org/W4206757662","https://openalex.org/W4237405726","https://openalex.org/W6674672447","https://openalex.org/W6682046070","https://openalex.org/W6684451421","https://openalex.org/W6703624077","https://openalex.org/W6755684609"],"related_works":["https://openalex.org/W2098937724","https://openalex.org/W2015378821","https://openalex.org/W4236226448","https://openalex.org/W2475090620","https://openalex.org/W2537499819","https://openalex.org/W2109791390","https://openalex.org/W4236670393","https://openalex.org/W2955157021","https://openalex.org/W2894161168","https://openalex.org/W3043308525"],"abstract_inverted_index":{"Assessing":[0],"forest":[1,29,37,77,101,134,232,248],"stand":[2,30,38,63,78,117,135,185,240],"conditions":[3,39],"in":[4,59,84,132,245,261],"urban":[5,87,247],"and":[6,16,43,65,80,115,125,137,162,188,204,222,242],"peri-urban":[7],"areas":[8],"is":[9,40,53],"essential":[10],"to":[11,54,238,255],"support":[12],"ecosystem":[13,22],"service":[14],"planning":[15],"management,":[17],"as":[18],"most":[19],"of":[20,28,62,92,99,111,129,149,153,160,166,169,174,200,214,220,224,230],"the":[21,97,121,127,146,150,157,163,167,184,194,228],"services":[23],"provided":[24],"are":[25],"a":[26,56,85,90,100,198,212,231],"consequence":[27],"characteristics.":[31],"However,":[32],"collecting":[33],"data":[34,66],"for":[35,49,108,142,183,193],"assessing":[36],"time":[41],"consuming":[42],"labor":[44],"intensive.":[45],"A":[46],"plausible":[47],"approach":[48],"addressing":[50],"this":[51,73],"issue":[52],"establish":[55],"relationship":[57],"between":[58],"situ":[60],"measurements":[61],"characteristics":[64],"from":[67,120],"airborne":[68],"laser":[69],"scanning":[70],"(LiDAR).":[71],"In":[72],"study":[74],"we":[75],"assessed":[76],"volume":[79,136,186,241],"above-ground":[81,243],"biomass":[82,244],"(AGB)":[83],"broadleaved":[86,246,262],"forest,":[88],"using":[89,259],"combination":[91,213],"LiDAR-derived":[93,216],"metrics,":[94],"which":[95,226],"takes":[96],"form":[98,229],"allometric":[102,233],"model.":[103],"We":[104,209],"tested":[105],"various":[106],"methods":[107],"extracting":[109],"proxies":[110],"basal":[112],"area":[113],"(BA)":[114],"mean":[116],"height":[118],"(H)":[119],"LiDAR":[122,260],"point-cloud":[123],"distribution":[124,152,168],"evaluated":[126],"performance":[128],"different":[130],"models":[131,144],"estimating":[133],"AGB.":[138],"The":[139,176],"best":[140],"predictors":[141],"both":[143],"were":[145,178],"scale":[147],"parameters":[148],"Weibull":[151],"all":[154,170],"returns":[155,172],"(except":[156],"first)":[158],"(proxy":[159,173],"BA)":[161],"95th":[164],"percentile":[165],"first":[171],"H).":[175],"R2":[177],"0.81":[179],"(p":[180,190],"&lt;":[181,191],"0.01)":[182,192],"model":[187,196],"0.77":[189],"AGB":[195],"with":[197,264],"RMSE":[199],"23.66":[201],"m3\u00b7ha\u22121":[202],"(23.3%)":[203],"19.59":[205],"Mg\u00b7ha\u22121":[206],"(23.9%),":[207],"respectively.":[208],"found":[210],"that":[211],"two":[215],"variables":[217],"(i.e.,":[218],"proxy":[219,223],"BA":[221],"H),":[225],"take":[227],"model,":[234],"can":[235,252],"be":[236,253],"used":[237],"estimate":[239],"areas.":[249],"Our":[250],"results":[251],"compared":[254],"other":[256],"studies":[257],"conducted":[258],"forests":[263],"similar":[265],"methods.":[266]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2016-06-24T00:00:00"}
