{"id":"https://openalex.org/W2901030646","doi":"https://doi.org/10.1109/igarss.2018.8518246","title":"Improving Carbon Estimation of Large Tropical Trees by Linking Airborne Lidar Crown Size to Field Inventory","display_name":"Improving Carbon Estimation of Large Tropical Trees by Linking Airborne Lidar Crown Size to Field Inventory","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2901030646","doi":"https://doi.org/10.1109/igarss.2018.8518246","mag":"2901030646"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8518246","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8518246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070888429","display_name":"Ant\u00f3nio Ferraz","orcid":"https://orcid.org/0000-0002-5328-5471"},"institutions":[{"id":"https://openalex.org/I1334627681","display_name":"Jet Propulsion Laboratory","ror":"https://ror.org/027k65916","country_code":"US","type":"facility","lineage":["https://openalex.org/I122411786","https://openalex.org/I1334627681","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Antonio Ferraz","raw_affiliation_strings":["Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA"],"affiliations":[{"raw_affiliation_string":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA","institution_ids":["https://openalex.org/I1334627681"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108146392","display_name":"Sassan Saatchi","orcid":null},"institutions":[{"id":"https://openalex.org/I1334627681","display_name":"Jet Propulsion Laboratory","ror":"https://ror.org/027k65916","country_code":"US","type":"facility","lineage":["https://openalex.org/I122411786","https://openalex.org/I1334627681","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sassan Saatchi","raw_affiliation_strings":["Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA"],"affiliations":[{"raw_affiliation_string":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA","institution_ids":["https://openalex.org/I1334627681"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004583571","display_name":"James R. Kellner","orcid":"https://orcid.org/0000-0002-9861-4857"},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Kellner","raw_affiliation_strings":["Department of Ecology and Evolutionary Biology, Brown University, Providence, RI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Ecology and Evolutionary Biology, Brown University, Providence, RI, USA","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039337320","display_name":"David B. Clark","orcid":"https://orcid.org/0000-0003-1364-7447"},"institutions":[{"id":"https://openalex.org/I208333798","display_name":"University of Missouri\u2013St. Louis","ror":"https://ror.org/037cnag11","country_code":"US","type":"education","lineage":["https://openalex.org/I208333798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Clark","raw_affiliation_strings":["Department of Biology, University of Missouri-St. Louis, St. Louis, MO, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biology, University of Missouri-St. Louis, St. Louis, MO, USA","institution_ids":["https://openalex.org/I208333798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070888429"],"corresponding_institution_ids":["https://openalex.org/I1334627681"],"apc_list":null,"apc_paid":null,"fwci":0.8248,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76252549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"8789","last_page":"8792"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11880","display_name":"Forest ecology and management","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11880","display_name":"Forest ecology and management","score":1.0,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9994999766349792,"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/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/crown","display_name":"Crown (dentistry)","score":0.827049970626831},{"id":"https://openalex.org/keywords/allometry","display_name":"Allometry","score":0.7938156127929688},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.762998640537262},{"id":"https://openalex.org/keywords/tree-allometry","display_name":"Tree allometry","score":0.741219699382782},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5343126058578491},{"id":"https://openalex.org/keywords/forest-inventory","display_name":"Forest inventory","score":0.5124755501747131},{"id":"https://openalex.org/keywords/biomass","display_name":"Biomass (ecology)","score":0.5068722367286682},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5025782585144043},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3781428337097168},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.32786354422569275},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32366979122161865},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.19928058981895447},{"id":"https://openalex.org/keywords/forest-management","display_name":"Forest management","score":0.1756395399570465},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.16369178891181946},{"id":"https://openalex.org/keywords/agroforestry","display_name":"Agroforestry","score":0.13759228587150574}],"concepts":[{"id":"https://openalex.org/C2778400979","wikidata":"https://www.wikidata.org/wiki/Q143720","display_name":"Crown (dentistry)","level":2,"score":0.827049970626831},{"id":"https://openalex.org/C153026981","wikidata":"https://www.wikidata.org/wiki/Q519888","display_name":"Allometry","level":2,"score":0.7938156127929688},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.762998640537262},{"id":"https://openalex.org/C34153902","wikidata":"https://www.wikidata.org/wiki/Q2838628","display_name":"Tree allometry","level":4,"score":0.741219699382782},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5343126058578491},{"id":"https://openalex.org/C147103442","wikidata":"https://www.wikidata.org/wiki/Q1423188","display_name":"Forest inventory","level":3,"score":0.5124755501747131},{"id":"https://openalex.org/C115540264","wikidata":"https://www.wikidata.org/wiki/Q2945560","display_name":"Biomass (ecology)","level":2,"score":0.5068722367286682},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5025782585144043},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3781428337097168},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.32786354422569275},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32366979122161865},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19928058981895447},{"id":"https://openalex.org/C28631016","wikidata":"https://www.wikidata.org/wiki/Q372561","display_name":"Forest management","level":2,"score":0.1756395399570465},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.16369178891181946},{"id":"https://openalex.org/C54286561","wikidata":"https://www.wikidata.org/wiki/Q397350","display_name":"Agroforestry","level":1,"score":0.13759228587150574},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C199343813","wikidata":"https://www.wikidata.org/wiki/Q12128","display_name":"Dentistry","level":1,"score":0.0},{"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/C42060753","wikidata":"https://www.wikidata.org/wiki/Q16842156","display_name":"Biomass partitioning","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2018.8518246","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8518246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1913732632","https://openalex.org/W2002730835","https://openalex.org/W2113521108","https://openalex.org/W2148682635","https://openalex.org/W2163966812","https://openalex.org/W2289630554","https://openalex.org/W2466959383","https://openalex.org/W2545975903"],"related_works":["https://openalex.org/W2597579995","https://openalex.org/W2063510451","https://openalex.org/W2518633982","https://openalex.org/W2996366474","https://openalex.org/W1995238475","https://openalex.org/W3212605679","https://openalex.org/W2052704791","https://openalex.org/W2912502546","https://openalex.org/W2903886724","https://openalex.org/W2346177637"],"abstract_inverted_index":{"Quantifying":[0],"tropical":[1],"aboveground":[2],"biomass":[3],"(agb)":[4],"is":[5,30,116],"an":[6],"outstanding":[7],"challenge":[8],"that":[9,21,56,199],"requires":[10],"knowledge":[11],"on":[12,245,252],"the":[13,22,45,54,65,98,125,136,141,145,150,155,171,200,214,218,226,230,238,246,253,260,266],"3D":[14,66],"structure":[15,138],"of":[16,27,82,120,127,152,180,237,240,262],"forests.":[17],"Recent":[18],"studies":[19],"suggest":[20],"uncertainty":[23,142],"in":[24,42,90,149,159,221],"estimating":[25],"agb":[26,153,220,239,249],"large":[28,161,247],"trees":[29,163,248],"significantly":[31],"reduced":[32],"if":[33],"tree":[34,102,205],"height":[35,73,103,193,206],"and":[36,49,74,104,130,185,188,194,207,229,256,268],"crown":[37,69,92,105,195,209],"size":[38,70,106],"are":[39,60,76,108],"accounted":[40],"for":[41,100,176],"addition":[43],"to":[44,53,63,111,134,259],"traditional":[46],"trunk":[47,83,113],"diameter":[48,84,165,184],"wood":[50,186],"density.":[51],"Due":[52],"fact":[55],"field":[57,128,181],"inventory":[58,129],"techniques":[59,96,133],"not":[61,109],"adapted":[62,110],"characterize":[64,135],"forest":[67,137],"structure,":[68],"metrics":[71,191],"(e.g.":[72],"radius)":[75],"commonly":[77],"estimated":[78],"as":[79],"a":[80,117,212],"function":[81],"using":[85],"allometric":[86,147,202,215],"models":[87,148,203],"with":[88],"limitations":[89],"explaining":[91],"variability.":[93],"Airborne":[94],"lidar":[95,132,189],"have":[97],"potential":[99],"characterizing":[101],"but":[107],"estimate":[112],"diameter,":[114],"which":[115,177],"strong":[118],"predictor":[119],"agb.":[121],"Here,":[122],"we":[123,178],"investigate":[124],"synergy":[126],"airborne":[131],"by":[139,144],"assessing":[140],"introduced":[143],"field-based":[146,201],"estimation":[151,261],"at":[154,265],"tree-level.":[156],"We":[157,197],"focus":[158],"1454":[160,227],"individual":[162,241],"(trunk":[164,183],">":[166],"60":[167],"cm)":[168],"located":[169],"within":[170],"La":[172],"Selva":[173],"Biological":[174],"Station":[175],"dispose":[179],"observations":[182],"density)":[187],"derived":[190],"(tree":[192],"radius).":[196],"show":[198],"overestimate":[204],"underestimate":[208],"radius.":[210],"As":[211],"result,":[213],"approach":[216],"overestimates":[217],"tree-level":[219],"0.8":[222],"Mg":[223],"when":[224],"considering":[225],"individuals":[228],"errors":[231,244],"can":[232],"reach":[233],"more":[234],"than":[235],"50%":[236],"trees.":[242],"These":[243],"highly":[250],"impact":[251],"plot-level":[254],"results":[255],"then":[257],"propagate":[258],"carbon":[263],"stocks":[264],"regional":[267],"national-levels.":[269]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}