{"id":"https://openalex.org/W3206309771","doi":"https://doi.org/10.1109/igarss47720.2021.9554364","title":"Random Forest Model for PM2.5 Concentration in China Using Himawari-8 Hourly AOD Product","display_name":"Random Forest Model for PM2.5 Concentration in China Using Himawari-8 Hourly AOD Product","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3206309771","doi":"https://doi.org/10.1109/igarss47720.2021.9554364","mag":"3206309771"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9554364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","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/A5100354047","display_name":"Xin Li","orcid":"https://orcid.org/0000-0003-2322-4069"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Li","raw_affiliation_strings":["School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou, Jiangsu, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou, Jiangsu, P. R. China","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425078","display_name":"Yingjie Li","orcid":"https://orcid.org/0009-0008-4277-094X"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjie Li","raw_affiliation_strings":["School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou, Jiangsu, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou, Jiangsu, P. R. China","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057904261","display_name":"Qingmiao Ma","orcid":"https://orcid.org/0000-0002-1010-5688"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingmiao Ma","raw_affiliation_strings":["School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou, Jiangsu, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou, Jiangsu, P. R. China","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004563298","display_name":"Shuguo Wang","orcid":"https://orcid.org/0000-0002-2619-4339"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuguo Wang","raw_affiliation_strings":["School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou, Jiangsu, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou, Jiangsu, P. R. China","institution_ids":["https://openalex.org/I118574674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100354047"],"corresponding_institution_ids":["https://openalex.org/I118574674"],"apc_list":null,"apc_paid":null,"fwci":0.2016,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52283087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"1935","last_page":"1938"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10190","display_name":"Air Quality and Health Impacts","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"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/T10190","display_name":"Air Quality and Health Impacts","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"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/T12120","display_name":"Air Quality Monitoring and Forecasting","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/T10075","display_name":"Atmospheric chemistry and aerosols","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.6432316899299622},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6372097730636597},{"id":"https://openalex.org/keywords/noon","display_name":"Noon","score":0.6268445253372192},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.5313907861709595},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4387776851654053},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4374200403690338},{"id":"https://openalex.org/keywords/atmospheric-sciences","display_name":"Atmospheric sciences","score":0.4009900987148285},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.3820383548736572},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.34093159437179565},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3375762104988098},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3092610239982605},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.23926514387130737},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07645222544670105}],"concepts":[{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.6432316899299622},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6372097730636597},{"id":"https://openalex.org/C58650310","wikidata":"https://www.wikidata.org/wiki/Q168182","display_name":"Noon","level":2,"score":0.6268445253372192},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.5313907861709595},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4387776851654053},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4374200403690338},{"id":"https://openalex.org/C91586092","wikidata":"https://www.wikidata.org/wiki/Q757520","display_name":"Atmospheric sciences","level":1,"score":0.4009900987148285},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.3820383548736572},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.34093159437179565},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3375762104988098},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3092610239982605},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.23926514387130737},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07645222544670105},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9554364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8237312227","display_name":null,"funder_award_id":"41971305","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2608460809","https://openalex.org/W2762691029","https://openalex.org/W2793167459","https://openalex.org/W2796935963","https://openalex.org/W2917616628","https://openalex.org/W2941635653","https://openalex.org/W2943200429","https://openalex.org/W2954013437","https://openalex.org/W6764599274"],"related_works":["https://openalex.org/W4206505719","https://openalex.org/W2015747722","https://openalex.org/W2068109302","https://openalex.org/W2362050182","https://openalex.org/W2382418233","https://openalex.org/W2076336960","https://openalex.org/W2369897927","https://openalex.org/W4319877287","https://openalex.org/W2520761282","https://openalex.org/W3031731056"],"abstract_inverted_index":{"Based":[0],"on":[1],"Himawari-8":[2],"hourly":[3],"AOD":[4],"product,":[5],"meteorological":[6,97],"variables,":[7],"auxiliary":[8],"data":[9],"and":[10,80,111,139,157,162],"PM2.5":[11,24,36,137,140,149],"observations,":[12],"this":[13],"study":[14],"established":[15],"a":[16],"random":[17],"forest":[18],"(RF)":[19],"model":[20,51,82,89,103,119,129],"to":[21,95],"estimate":[22],"the":[23,34,41,50,85,87,96,101,105,112,118,121,128,133],"concentration":[25],"in":[26,28,76,109,114,124,148,153],"China":[27],"2018.":[29],"The":[30,145],"results":[31],"showed":[32,48,131],"that":[33,49,132],"estimated":[35],"has":[37,52,104,120],"high":[38,53,146],"consistency":[39],"with":[40,55,66],"ground":[42,72],"observations.":[43],"Ten-fold":[44],"cross-validation":[45],"(CV)":[46],"result":[47],"accuracy,":[54],"R2":[56],"of":[57,60,127,136,160,164],"0.801,":[58],"RMSE":[59,123],"<tex":[61],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[62],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$15.677\\mu\\mathrm{g}\\cdot\\mathrm{m}^{-3}$</tex>":[63],"In":[64,116],"areas":[65],"sparse":[67],"sites,":[68],"there":[69],"are":[70,142,150],"fewer":[71,77],"observation":[73,98,141],"data,":[74],"resulting":[75],"training":[78],"samples":[79],"poor":[81],"accuracy.":[83],"During":[84],"day,":[86],"RF":[88,102],"performed":[90],"best":[91],"around":[92],"noon":[93],"due":[94],"conditions.":[99],"Seasonally,":[100],"highest":[106],"fit":[107],"goodness":[108],"autumn":[110],"lowest":[113,122],"summer.":[115,125],"addition,":[117],"Result":[126],"prediction":[130,138],"spatial":[134],"distribution":[135],"relatively":[143],"consistent.":[144],"values":[147],"mainly":[151],"concentrated":[152],"Jiangsu,":[154],"Shandong,":[155],"Henan":[156],"Anhui,":[158],"southeast":[159],"Beijing-Tianjin-Hebei":[161],"east":[163],"Sichuan":[165],"Province.":[166]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}