{"id":"https://openalex.org/W4405004646","doi":"https://doi.org/10.3390/rs16234544","title":"3D-CNN with Multi-Scale Fusion for Tree Crown Segmentation and Species Classification","display_name":"3D-CNN with Multi-Scale Fusion for Tree Crown Segmentation and Species Classification","publication_year":2024,"publication_date":"2024-12-04","ids":{"openalex":"https://openalex.org/W4405004646","doi":"https://doi.org/10.3390/rs16234544"},"language":"en","primary_location":{"id":"doi:10.3390/rs16234544","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16234544","pdf_url":"https://www.mdpi.com/2072-4292/16/23/4544/pdf?version=1733305360","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/2072-4292/16/23/4544/pdf?version=1733305360","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009809981","display_name":"Jiayao Wang","orcid":"https://orcid.org/0000-0003-2753-6000"},"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":"Jiayao Wang","raw_affiliation_strings":["School of Forestry, Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China"],"affiliations":[{"raw_affiliation_string":"School of Forestry, Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","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":false,"raw_author_name":"Zhen Zhen","raw_affiliation_strings":["School of Forestry, Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China"],"affiliations":[{"raw_affiliation_string":"School of Forestry, Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101859922","display_name":"Yuting Zhao","orcid":"https://orcid.org/0000-0001-9400-1378"},"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":"Yuting Zhao","raw_affiliation_strings":["School of Forestry, Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China"],"affiliations":[{"raw_affiliation_string":"School of Forestry, Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101859922","display_name":"Yuting Zhao","orcid":"https://orcid.org/0000-0001-9400-1378"},"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":"Yuting Zhao","raw_affiliation_strings":["School of Forestry, Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China"],"affiliations":[{"raw_affiliation_string":"School of Forestry, Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, 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, Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China"],"affiliations":[{"raw_affiliation_string":"School of Forestry, Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yinghui Zhao","orcid":"https://orcid.org/0000-0002-1933-8357"},"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":"Yinghui Zhao","raw_affiliation_strings":["School of Forestry, Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China"],"affiliations":[{"raw_affiliation_string":"School of Forestry, Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yinghui Zhao","orcid":"https://orcid.org/0000-0002-1933-8357"},"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":"Yinghui Zhao","raw_affiliation_strings":["School of Forestry, Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China"],"affiliations":[{"raw_affiliation_string":"School of Forestry, Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China","institution_ids":["https://openalex.org/I47689461"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101859922"],"corresponding_institution_ids":["https://openalex.org/I47689461"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.1897,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76768029,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"16","issue":"23","first_page":"4544","last_page":"4544"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9983000159263611,"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/T13568","display_name":"Wood and Agarwood Research","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1605","display_name":"Organic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6156083941459656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.513181746006012},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5025675296783447},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4920880198478699},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4773041009902954},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.40674692392349243},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.382252037525177},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3316376507282257},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2708032727241516},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2577230930328369}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6156083941459656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.513181746006012},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5025675296783447},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4920880198478699},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4773041009902954},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.40674692392349243},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.382252037525177},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3316376507282257},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2708032727241516},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2577230930328369},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16234544","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16234544","pdf_url":"https://www.mdpi.com/2072-4292/16/23/4544/pdf?version=1733305360","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:17a7d9f8aeb346b4af6d5acb752358cc","is_oa":true,"landing_page_url":"https://doaj.org/article/17a7d9f8aeb346b4af6d5acb752358cc","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 23, p 4544 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16234544","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16234544","pdf_url":"https://www.mdpi.com/2072-4292/16/23/4544/pdf?version=1733305360","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":0.6000000238418579,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2476221792","display_name":null,"funder_award_id":"Heilongjiang","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3648137972","display_name":null,"funder_award_id":"2023YFF1304003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7420216860","display_name":null,"funder_award_id":"2005DKA32200-OH","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405004646.pdf"},"referenced_works_count":85,"referenced_works":["https://openalex.org/W51106753","https://openalex.org/W1885185971","https://openalex.org/W1901129140","https://openalex.org/W1967621805","https://openalex.org/W1969607685","https://openalex.org/W1999053217","https://openalex.org/W2001383563","https://openalex.org/W2015134267","https://openalex.org/W2016452580","https://openalex.org/W2019226206","https://openalex.org/W2019611006","https://openalex.org/W2029545808","https://openalex.org/W2036061791","https://openalex.org/W2041594583","https://openalex.org/W2042524658","https://openalex.org/W2055734610","https://openalex.org/W2056380340","https://openalex.org/W2063396028","https://openalex.org/W2065258204","https://openalex.org/W2067042811","https://openalex.org/W2078784462","https://openalex.org/W2084668217","https://openalex.org/W2091493105","https://openalex.org/W2108598243","https://openalex.org/W2109191549","https://openalex.org/W2110218103","https://openalex.org/W2138973222","https://openalex.org/W2143481518","https://openalex.org/W2150853404","https://openalex.org/W2165148193","https://openalex.org/W2174904160","https://openalex.org/W2194775991","https://openalex.org/W2260771218","https://openalex.org/W2324285853","https://openalex.org/W2405365025","https://openalex.org/W2408895021","https://openalex.org/W2476548250","https://openalex.org/W2482693827","https://openalex.org/W2515107465","https://openalex.org/W2515306179","https://openalex.org/W2565639579","https://openalex.org/W2618530766","https://openalex.org/W2620332000","https://openalex.org/W2748857187","https://openalex.org/W2765686626","https://openalex.org/W2793366794","https://openalex.org/W2885035168","https://openalex.org/W2886835193","https://openalex.org/W2903224593","https://openalex.org/W2911261286","https://openalex.org/W2914331134","https://openalex.org/W2914757692","https://openalex.org/W2921401402","https://openalex.org/W2946948417","https://openalex.org/W2963150697","https://openalex.org/W2963446712","https://openalex.org/W2963881378","https://openalex.org/W2964309882","https://openalex.org/W2966590113","https://openalex.org/W2991616716","https://openalex.org/W2996495478","https://openalex.org/W2997480083","https://openalex.org/W3034053233","https://openalex.org/W3039121722","https://openalex.org/W3096831136","https://openalex.org/W3109626002","https://openalex.org/W3132859298","https://openalex.org/W3146613606","https://openalex.org/W3184654054","https://openalex.org/W3186158983","https://openalex.org/W3192247133","https://openalex.org/W3205597585","https://openalex.org/W4220727424","https://openalex.org/W4226049722","https://openalex.org/W4283829529","https://openalex.org/W4291017761","https://openalex.org/W4389546877","https://openalex.org/W4391286397","https://openalex.org/W4394807950","https://openalex.org/W6642535928","https://openalex.org/W6670527412","https://openalex.org/W6692628530","https://openalex.org/W6726218488","https://openalex.org/W6766696123","https://openalex.org/W6802679268"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2073639911"],"abstract_inverted_index":{"Natural":[0],"secondary":[1,30],"forests":[2,31],"play":[3],"a":[4,33,158,172,210,248],"crucial":[5],"role":[6],"in":[7,27,72,213],"global":[8],"ecological":[9],"security,":[10],"climate":[11],"change":[12],"mitigation,":[13],"and":[14,23,51,64,89,102,120,125,165,257],"biodiversity":[15],"conservation.":[16],"However,":[17],"accurately":[18],"delineating":[19],"individual":[20,47],"tree":[21,25,48,98,138,253],"crowns":[22],"identifying":[24],"species":[26,52,139,254],"dense":[28],"natural":[29],"remains":[32],"challenge.":[34],"This":[35,245],"study":[36,77],"combines":[37],"deep":[38],"learning":[39],"with":[40,93,144,171,208,232],"traditional":[41],"image":[42],"segmentation":[43,86],"methods":[44],"to":[45,110],"improve":[46],"crown":[49,99],"detection":[50,100],"classification.":[53],"The":[54,76,150],"approach":[55],"utilizes":[56],"hyperspectral,":[57],"unmanned":[58],"aerial":[59],"vehicle":[60],"laser":[61],"scanning":[62],"data,":[63],"ground":[65],"survey":[66],"data":[67],"from":[68],"Maoershan":[69],"Forest":[70],"Farm":[71],"Heilongjiang":[73],"Province,":[74],"China.":[75],"consists":[78],"of":[79,160,163,168,175,186,190,221,228,230],"two":[80],"main":[81],"processes:":[82],"(1)":[83],"combining":[84],"semantic":[85],"algorithms":[87],"(U-Net":[88],"Deeplab":[90],"V3":[91],"Plus)":[92],"watershed":[94],"transform":[95],"(WTS)":[96],"for":[97,251],"(U-WTS":[101],"D-WTS":[103],"algorithms);":[104],"(2)":[105],"resampling":[106],"the":[107,141,145,154,181,193,199,217],"original":[108,194],"images":[109],"different":[111],"pixel":[112,173],"densities":[113],"(16":[114],"\u00d7":[115,118,122,177,234],"16,":[116],"32":[117],"32,":[119],"64":[121,123,176,178,233,235],"pixels)":[124],"inputting":[126],"them":[127],"into":[128],"five":[129],"3D-CNN":[130],"models":[131,147],"(ResNet10,":[132],"ResNet18,":[133],"ResNet34,":[134],"ResNet50,":[135],"VGG16).":[136],"For":[137],"classification,":[140],"MSFB":[142,224],"combined":[143],"CNN":[146],"were":[148,225],"used.":[149],"results":[151],"show":[152],"that":[153],"U-WTS":[155],"algorithm":[156],"achieved":[157,180],"recall":[159],"0.809,":[161],"precision":[162],"0.885,":[164],"an":[166,188],"F-score":[167],"0.845.":[169],"ResNet18":[170,222,231],"density":[174],"pixels":[179],"highest":[182],"overall":[183],"accuracy":[184,240],"(OA)":[185],"0.916,":[187],"improvement":[189],"0.049":[191],"over":[192],"images.":[195],"After":[196],"incorporating":[197],"MSFB,":[198],"OA":[200],"improved":[201],"by":[202],"approximately":[203],"0.04":[204],"across":[205],"all":[206],"models,":[207],"only":[209,226],"6%":[211],"increase":[212],"model":[214],"parameters.":[215],"Notably,":[216],"floating-point":[218],"operations":[219],"(FLOPs)":[220],"+":[223],"one-eighth":[227],"those":[229],"pixels,":[236],"while":[237],"achieving":[238],"similar":[239],"(OA:":[241],"0.912":[242],"vs.":[243],"0.916).":[244],"framework":[246],"offers":[247],"scalable":[249],"solution":[250],"large-scale":[252],"distribution":[255],"mapping":[256],"forest":[258],"resource":[259],"inventories.":[260]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5}],"updated_date":"2026-04-20T07:46:08.049788","created_date":"2025-10-10T00:00:00"}
