{"id":"https://openalex.org/W4402259091","doi":"https://doi.org/10.1109/igarss53475.2024.10640746","title":"Component and Total Forest Aboveground Biomass Estimation Using GF-1/3 Images","display_name":"Component and Total Forest Aboveground Biomass Estimation Using GF-1/3 Images","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402259091","doi":"https://doi.org/10.1109/igarss53475.2024.10640746"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10640746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10640746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 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/A5048558564","display_name":"Feifei Yang","orcid":"https://orcid.org/0000-0002-4075-6641"},"institutions":[{"id":"https://openalex.org/I25399270","display_name":"Southwest Forestry University","ror":"https://ror.org/03dfa9f06","country_code":"CN","type":"education","lineage":["https://openalex.org/I25399270"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feifei Yang","raw_affiliation_strings":["Southwest Forestry University,College of Forestry,Kunming,China"],"affiliations":[{"raw_affiliation_string":"Southwest Forestry University,College of Forestry,Kunming,China","institution_ids":["https://openalex.org/I25399270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012507723","display_name":"Armando Marino","orcid":"https://orcid.org/0000-0002-4531-3102"},"institutions":[{"id":"https://openalex.org/I12093191","display_name":"University of Stirling","ror":"https://ror.org/045wgfr59","country_code":"GB","type":"education","lineage":["https://openalex.org/I12093191"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Armando Marino","raw_affiliation_strings":["The University of Stirling,Biological and Environmental Sciences,Stirling,UK,FK9 4LA"],"affiliations":[{"raw_affiliation_string":"The University of Stirling,Biological and Environmental Sciences,Stirling,UK,FK9 4LA","institution_ids":["https://openalex.org/I12093191"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102795529","display_name":"Yongjie Ji","orcid":"https://orcid.org/0000-0001-8012-4115"},"institutions":[{"id":"https://openalex.org/I25399270","display_name":"Southwest Forestry University","ror":"https://ror.org/03dfa9f06","country_code":"CN","type":"education","lineage":["https://openalex.org/I25399270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjie Ji","raw_affiliation_strings":["Southwest Forestry University,School of Geography and Ecotourism,Kunming,China,650224"],"affiliations":[{"raw_affiliation_string":"Southwest Forestry University,School of Geography and Ecotourism,Kunming,China,650224","institution_ids":["https://openalex.org/I25399270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020453263","display_name":"Jianmin Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I25399270","display_name":"Southwest Forestry University","ror":"https://ror.org/03dfa9f06","country_code":"CN","type":"education","lineage":["https://openalex.org/I25399270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JIanmin Shi","raw_affiliation_strings":["Southwest Forestry University,College of Forestry,Kunming,China"],"affiliations":[{"raw_affiliation_string":"Southwest Forestry University,College of Forestry,Kunming,China","institution_ids":["https://openalex.org/I25399270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014591998","display_name":"Han Zhao","orcid":"https://orcid.org/0000-0001-8150-6836"},"institutions":[{"id":"https://openalex.org/I25399270","display_name":"Southwest Forestry University","ror":"https://ror.org/03dfa9f06","country_code":"CN","type":"education","lineage":["https://openalex.org/I25399270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Zhao","raw_affiliation_strings":["Southwest Forestry University,College of Forestry,Kunming,China"],"affiliations":[{"raw_affiliation_string":"Southwest Forestry University,College of Forestry,Kunming,China","institution_ids":["https://openalex.org/I25399270"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044450794","display_name":"Wangfei Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I25399270","display_name":"Southwest Forestry University","ror":"https://ror.org/03dfa9f06","country_code":"CN","type":"education","lineage":["https://openalex.org/I25399270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangfei Zhang","raw_affiliation_strings":["Southwest Forestry University,College of Forestry,Kunming,China"],"affiliations":[{"raw_affiliation_string":"Southwest Forestry University,College of Forestry,Kunming,China","institution_ids":["https://openalex.org/I25399270"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5048558564"],"corresponding_institution_ids":["https://openalex.org/I25399270"],"apc_list":null,"apc_paid":null,"fwci":0.2177,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49356864,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"4899","last_page":"4902"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9973999857902527,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9868999719619751,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/biomass","display_name":"Biomass (ecology)","score":0.6947160363197327},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.6187189817428589},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5872735977172852},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5089216232299805},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.44333869218826294},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.38248106837272644},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3559342622756958},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29434847831726074},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.19072461128234863},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1356751024723053},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09560784697532654},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07343843579292297},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06265237927436829}],"concepts":[{"id":"https://openalex.org/C115540264","wikidata":"https://www.wikidata.org/wiki/Q2945560","display_name":"Biomass (ecology)","level":2,"score":0.6947160363197327},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6187189817428589},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5872735977172852},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5089216232299805},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.44333869218826294},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.38248106837272644},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3559342622756958},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29434847831726074},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.19072461128234863},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1356751024723053},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09560784697532654},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07343843579292297},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06265237927436829},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10640746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10640746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"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":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1982520364","https://openalex.org/W2093850394","https://openalex.org/W2566759027","https://openalex.org/W2911554154","https://openalex.org/W3094588856"],"related_works":["https://openalex.org/W2357256365","https://openalex.org/W2348502264","https://openalex.org/W2365486383","https://openalex.org/W2362059367","https://openalex.org/W2350084742","https://openalex.org/W2901443725","https://openalex.org/W2357988862","https://openalex.org/W1855558850","https://openalex.org/W1852677413","https://openalex.org/W4313466491"],"abstract_inverted_index":{"Accurately":[0],"estimating":[1],"forest":[2,29,44,92,96,110,130,162,168,178],"component":[3,89,126,163],"above-ground":[4],"biomass":[5,46],"is":[6],"crucial":[7],"for":[8,35,88,128,165],"understanding":[9],"and":[10,24,66,90,105,108],"analyzing":[11],"the":[12,19,26,36,120,123,138,174],"growth":[13],"process":[14],"of":[15,28,39,59,122],"vegetation":[16],"ecosystems,":[17],"interpreting":[18],"ecosystem":[20],"carbon":[21],"cycle":[22],"correctly,":[23],"improving":[25],"effectiveness":[27],"management.":[30],"It":[31],"also":[32,158],"provides":[33],"ideas":[34],"bottleneck":[37],"problem":[38],"low":[40],"saturation":[41,175],"point":[42],"in":[43,82,113,177],"aboveground":[45],"(AGB)":[47],"estimation":[48,132,164,170,180],"using":[49,181],"remote":[50,60,144,182],"sensing":[51,61,145,183],"techniques.":[52],"This":[53],"paper":[54],"extracts":[55],"a":[56],"large":[57],"number":[58],"features":[62],"from":[63],"optical":[64],"GF-1":[65],"GF-3":[67],"SAR":[68],"data.":[69],"A":[70],"feature":[71],"optimization":[72],"inversion":[73,135],"model":[74],"named":[75],"KNN-FIFS":[76],"(a":[77],"fast":[78],"iterative":[79],"procedure":[80],"embedded":[81],"K-nearest":[83],"neighbor)":[84],"was":[85,153],"applied":[86],"here":[87],"total":[91,129,139,167],"AGB":[93,127,131,140,169,179],"inversion.":[94],"Four":[95],"types":[97],"including":[98],"Yunnan":[99],"pine,":[100,102],"Simao":[101],"broadleaf":[103,109],"forest,":[104],"mixed":[106],"conifer":[107],"were":[111],"involved":[112],"this":[114],"study.":[115],"The":[116,147,156],"results":[117,157],"indicate":[118],"that":[119,160],"summation":[121],"estimated":[124,141],"each":[125],"showed":[133],"higher":[134],"accuracy":[136],"than":[137],"directly":[142],"by":[143],"features.":[146],"relative":[148],"RMSE":[149],"difference":[150],"between":[151],"them":[152],"about":[154],"3%.":[155],"revealed":[159],"through":[161],"later":[166],"can":[171],"help":[172],"improve":[173],"points":[176],"datasets.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}