{"id":"https://openalex.org/W3207195279","doi":"https://doi.org/10.1109/igarss47720.2021.9555156","title":"Use Ensemble Learning to Estimate the Population and Assets Exposed to Tropical Cyclones","display_name":"Use Ensemble Learning to Estimate the Population and Assets Exposed to Tropical Cyclones","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3207195279","doi":"https://doi.org/10.1109/igarss47720.2021.9555156","mag":"3207195279"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9555156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9555156","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":"conference-paper","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/A5091558032","display_name":"Fan Meng","orcid":"https://orcid.org/0000-0002-1462-4696"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Meng","raw_affiliation_strings":["School of Geosciences, China University of Petroleum, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geosciences, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036348661","display_name":"Tongmao Ma","orcid":"https://orcid.org/0000-0002-7485-8558"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Tongmao Ma","raw_affiliation_strings":["Polytechnical University of Madrid, Boadilla del Monte, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Polytechnical University of Madrid, Boadilla del Monte, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052782437","display_name":"Pengfei Xie","orcid":"https://orcid.org/0000-0002-7521-157X"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Xie","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108830721","display_name":"Handan Sun","orcid":"https://orcid.org/0000-0002-2506-0734"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Handan Sun","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029202675","display_name":"Danya Xu","orcid":"https://orcid.org/0000-0001-9172-4669"},"institutions":[{"id":"https://openalex.org/I4210106122","display_name":"Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)","ror":"https://ror.org/00y7mag53","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210106122"]},{"id":"https://openalex.org/I4391012567","display_name":"Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)","ror":"https://ror.org/03swgqh13","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012567"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danya Xu","raw_affiliation_strings":["Southern Marine Science and Engineering Guangdong Laboratory(zhuhai), Zhuhai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern Marine Science and Engineering Guangdong Laboratory(zhuhai), Zhuhai, China","institution_ids":["https://openalex.org/I4210106122","https://openalex.org/I4391012567"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006420025","display_name":"Tao Song","orcid":"https://orcid.org/0000-0002-0130-3340"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]},{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["CN","ES"],"is_corresponding":false,"raw_author_name":"Tao Song","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum, Qingdao, China","Polytechnical University of Madrid, Boadilla del Monte, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"Polytechnical University of Madrid, Boadilla del Monte, Spain","institution_ids":["https://openalex.org/I88060688"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8476","last_page":"8479"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11483","display_name":"Tropical and Extratropical Cyclones Research","score":0.9941999912261963,"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"}},"topics":[{"id":"https://openalex.org/T11483","display_name":"Tropical and Extratropical Cyclones Research","score":0.9941999912261963,"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/T10747","display_name":"Disaster Management and Resilience","score":0.979200005531311,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9768000245094299,"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/tropical-cyclone","display_name":"Tropical cyclone","score":0.9122479557991028},{"id":"https://openalex.org/keywords/tropical-cyclone-forecast-model","display_name":"Tropical cyclone forecast model","score":0.8105669021606445},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.5489082336425781},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5396646857261658},{"id":"https://openalex.org/keywords/tropical-cyclone-scales","display_name":"Tropical cyclone scales","score":0.4878371059894562},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.48195573687553406},{"id":"https://openalex.org/keywords/tropical-cyclone-rainfall-forecasting","display_name":"Tropical cyclone rainfall forecasting","score":0.4717831313610077},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4535757303237915},{"id":"https://openalex.org/keywords/typhoon","display_name":"Typhoon","score":0.4338718354701996},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.4275617301464081},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.41178613901138306},{"id":"https://openalex.org/keywords/cyclone","display_name":"Cyclone (programming language)","score":0.39085859060287476},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34281644225120544},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.31359362602233887},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2944243550300598},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.0755511224269867}],"concepts":[{"id":"https://openalex.org/C29141058","wikidata":"https://www.wikidata.org/wiki/Q8092","display_name":"Tropical cyclone","level":2,"score":0.9122479557991028},{"id":"https://openalex.org/C102561126","wikidata":"https://www.wikidata.org/wiki/Q17164865","display_name":"Tropical cyclone forecast model","level":3,"score":0.8105669021606445},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.5489082336425781},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5396646857261658},{"id":"https://openalex.org/C193436682","wikidata":"https://www.wikidata.org/wiki/Q2513417","display_name":"Tropical cyclone scales","level":4,"score":0.4878371059894562},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.48195573687553406},{"id":"https://openalex.org/C11472968","wikidata":"https://www.wikidata.org/wiki/Q16824724","display_name":"Tropical cyclone rainfall forecasting","level":4,"score":0.4717831313610077},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4535757303237915},{"id":"https://openalex.org/C181654704","wikidata":"https://www.wikidata.org/wiki/Q140588","display_name":"Typhoon","level":2,"score":0.4338718354701996},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.4275617301464081},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.41178613901138306},{"id":"https://openalex.org/C2777864850","wikidata":"https://www.wikidata.org/wiki/Q79598","display_name":"Cyclone (programming language)","level":3,"score":0.39085859060287476},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34281644225120544},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.31359362602233887},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2944243550300598},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0755511224269867},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9555156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9555156","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":[{"score":0.41999998688697815,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G3385956737","display_name":null,"funder_award_id":"61873280,61873281,61672033,61672248,61972416,U1811464","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8326439326","display_name":null,"funder_award_id":"2018YFC1406205,2018YFC1406201","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8870393515","display_name":null,"funder_award_id":"ZR2019MF012","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1645858368","https://openalex.org/W1966703060","https://openalex.org/W2073780971","https://openalex.org/W2750753742","https://openalex.org/W2913323966"],"related_works":["https://openalex.org/W2606526000","https://openalex.org/W2489142530","https://openalex.org/W2357616099","https://openalex.org/W2380927239","https://openalex.org/W4229023950","https://openalex.org/W2913486877","https://openalex.org/W2366822726","https://openalex.org/W2587789466","https://openalex.org/W1576049665","https://openalex.org/W3157762895"],"abstract_inverted_index":{"Tropical":[0],"cyclone":[1,30,38],"(TC)":[2],"is":[3,68,127,153],"one":[4],"of":[5,18,53,63,82,141,148,160],"the":[6,11,16,28,35,43,51,54,61,69,80,99,120,124,134,138,146,158,164],"major":[7],"meteorological":[8],"disasters":[9],"in":[10,156],"world,":[12],"which":[13],"seriously":[14],"threatens":[15],"safety":[17],"human":[19],"life":[20],"and":[21,34,56,87,123,137],"property.":[22],"In":[23,90],"this":[24,66],"study,":[25],"we":[26,92],"adopt":[27],"tropical":[29,37,83,104,161],"best":[31,62],"track":[32],"archive":[33],"global":[36],"exposure":[39,81,125],"data":[40,97,126],"sets,":[41],"using":[42,74,96],"ensemble":[44],"machine":[45,75,142],"learning":[46,76,143],"approach":[47],"for":[48],"exposed":[49],"to":[50,58,78,85,144],"TCs":[52],"population":[55,86],"asset":[57],"estimate.":[59],"To":[60],"our":[64,94],"knowledge,":[65],"research":[67],"first":[70],"hazards":[71,149],"assessment":[72],"study":[73],"methods":[77],"estimate":[79],"cyclones":[84],"property":[88],"end-to-end.":[89],"particular,":[91],"validated":[93],"model":[95],"from":[98],"country":[100],"most":[101],"affected":[102],"by":[103,167],"cyclones.":[105],"The":[106,115],"results":[107,136],"depicted":[108],"a":[109,130],"10%":[110],"improvement":[111],"over":[112],"traditional":[113],"methods.":[114],"correlation":[116,132],"coefficient":[117],"r":[118],"between":[119,133],"predicted":[121,135],"value":[122],"0.813,":[128],"demonstrating":[129],"strong":[131],"great":[139],"potential":[140],"solve":[145],"problem":[147],"assessment.":[150],"However,":[151],"there":[152],"still":[154],"uncertainty":[155],"assessing":[157],"impact":[159,165],"cyclones,":[162],"especially":[163],"caused":[166],"high":[168],"wind":[169],"speeds.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}