{"id":"https://openalex.org/W4312340686","doi":"https://doi.org/10.1109/igarss46834.2022.9883712","title":"Estimating Hourly Full-Coverage Himawari-8 AHI AOD with Spatiotemporal Random Forest Model","display_name":"Estimating Hourly Full-Coverage Himawari-8 AHI AOD with Spatiotemporal Random Forest Model","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312340686","doi":"https://doi.org/10.1109/igarss46834.2022.9883712"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9883712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883712","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 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/A5019078880","display_name":"Zichun Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zichun Jin","raw_affiliation_strings":["Center for Information Geoscience, School of Resources and Environment, University of Electronic Science and Technology of China,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"Center for Information Geoscience, School of Resources and Environment, University of Electronic Science and Technology of China,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101932393","display_name":"Shaofei Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153230","display_name":"Shanghai Academy of Spaceflight Technology","ror":"https://ror.org/050qhwt21","country_code":"CN","type":"government","lineage":["https://openalex.org/I2802615301","https://openalex.org/I4210153230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaofei Wang","raw_affiliation_strings":["Shanghai Spaceflight Institute of TT&#x0026;C and Telecommunication,Shanghai,China,201109"],"affiliations":[{"raw_affiliation_string":"Shanghai Spaceflight Institute of TT&#x0026;C and Telecommunication,Shanghai,China,201109","institution_ids":["https://openalex.org/I4210153230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059966125","display_name":"Jin Ma","orcid":"https://orcid.org/0000-0002-4188-9139"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Ma","raw_affiliation_strings":["Center for Information Geoscience, School of Resources and Environment, University of Electronic Science and Technology of China,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"Center for Information Geoscience, School of Resources and Environment, University of Electronic Science and Technology of China,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076740062","display_name":"Ji Zhou","orcid":"https://orcid.org/0000-0001-9926-7693"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji Zhou","raw_affiliation_strings":["Center for Information Geoscience, School of Resources and Environment, University of Electronic Science and Technology of China,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"Center for Information Geoscience, School of Resources and Environment, University of Electronic Science and Technology of China,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5019078880"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32120051,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":null,"first_page":"2777","last_page":"2780"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10347","display_name":"Atmospheric aerosols and clouds","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10347","display_name":"Atmospheric aerosols and clouds","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10075","display_name":"Atmospheric chemistry and aerosols","score":0.9979000091552734,"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"}},{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9977999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6997868418693542},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.69843590259552},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.6272154450416565},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5757676362991333},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.5669312477111816},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.473850280046463},{"id":"https://openalex.org/keywords/atmospheric-sciences","display_name":"Atmospheric sciences","score":0.3252452611923218},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.23005089163780212},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.1742095947265625},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16584905982017517},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08757409453392029},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0668458640575409}],"concepts":[{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6997868418693542},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.69843590259552},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6272154450416565},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5757676362991333},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.5669312477111816},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.473850280046463},{"id":"https://openalex.org/C91586092","wikidata":"https://www.wikidata.org/wiki/Q757520","display_name":"Atmospheric sciences","level":1,"score":0.3252452611923218},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.23005089163780212},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.1742095947265625},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16584905982017517},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08757409453392029},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0668458640575409},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9883712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883712","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1995443851","https://openalex.org/W2050250373","https://openalex.org/W2314479789","https://openalex.org/W2742946820","https://openalex.org/W2796935963","https://openalex.org/W2911964244","https://openalex.org/W2973044982","https://openalex.org/W2981698314","https://openalex.org/W3042302995","https://openalex.org/W3084171566","https://openalex.org/W3122993262"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W3135126032","https://openalex.org/W1924178503","https://openalex.org/W4308716060","https://openalex.org/W4280648719","https://openalex.org/W4386937079"],"abstract_inverted_index":{"Aerosol":[0],"optical":[1],"depth":[2],"(AOD)":[3],"is":[4],"closely":[5],"related":[6],"to":[7,32,43,81,104,109,115],"atmospheric":[8],"pollutants.":[9],"However,":[10],"a":[11,26],"large":[12],"number":[13],"of":[14,87,102,107,113],"missing":[15,35],"values":[16],"in":[17,38],"satellite":[18],"AOD":[19,37,56],"severely":[20],"limits":[21],"its":[22],"application.":[23],"We":[24],"proposed":[25],"spatiotemporal":[27,52,85],"random":[28],"forest":[29],"(RF)":[30],"model":[31,61,96],"estimate":[33],"the":[34,44,51,60,64,74,84,94],"AHI":[36],"this":[39],"study.":[40],"In":[41],"addition":[42],"commonly":[45],"used":[46],"meteorological":[47],"and":[48,54,78,111,122],"topographic":[49],"parameters,":[50],"data":[53,66],"MERRA-2":[55],"were":[57],"introduced":[58],"as":[59],"inputs.":[62],"Specifically,":[63],"training":[65],"was":[67],"divided":[68],"into":[69],"multiple":[70],"subsets":[71],"based":[72],"on":[73],"land":[75,119],"cover":[76,120],"types":[77,121],"local":[79,123],"times":[80],"explicitly":[82],"characterize":[83],"variation":[86],"AOD.":[88],"The":[89],"validation":[90],"results":[91,99],"indicated":[92],"that":[93],"RF":[95],"achieved":[97],"promising":[98],"with":[100],"RMSE":[101],"0.03":[103],"0.17,":[105],"MBE":[106],"\u22120.01":[108],"0.02,":[110],"R":[112],"0.87":[114],"0.97":[116],"at":[117],"different":[118],"times.":[124]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
