{"id":"https://openalex.org/W4402260925","doi":"https://doi.org/10.1109/igarss53475.2024.10641862","title":"Comparison of the Fractional Snow Cover Retrieval Capabilities of China's New Generation Geostationary Meteorological Satellites, FY-4A and FY-4B","display_name":"Comparison of the Fractional Snow Cover Retrieval Capabilities of China's New Generation Geostationary Meteorological Satellites, FY-4A and FY-4B","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402260925","doi":"https://doi.org/10.1109/igarss53475.2024.10641862"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10641862","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10641862","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/A5054642034","display_name":"Fangbo Pan","orcid":"https://orcid.org/0000-0002-4780-2313"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangbo Pan","raw_affiliation_strings":["Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geographical Science, Beijing Normal University,State Key Laboratory of Remote Sensing Science,Beijing,China,100875"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geographical Science, Beijing Normal University,State Key Laboratory of Remote Sensing Science,Beijing,China,100875","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056336938","display_name":"Lingmei Jiang","orcid":"https://orcid.org/0000-0002-9847-9034"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingmei Jiang","raw_affiliation_strings":["Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geographical Science, Beijing Normal University,State Key Laboratory of Remote Sensing Science,Beijing,China,100875"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geographical Science, Beijing Normal University,State Key Laboratory of Remote Sensing Science,Beijing,China,100875","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941","https://openalex.org/I4210137199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022712425","display_name":"Gongxue Wang","orcid":"https://orcid.org/0000-0002-1563-1388"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gongxue Wang","raw_affiliation_strings":["Xi’an University of Science and Technology,College of Geomatics,Xi’an,China,710054"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an University of Science and Technology,College of Geomatics,Xi’an,China,710054","institution_ids":["https://openalex.org/I110440473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17450919,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"121","last_page":"124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":0.9998999834060669,"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/T10644","display_name":"Cryospheric studies and observations","score":0.9998999834060669,"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/T12719","display_name":"Aerospace Engineering and Energy Systems","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11459","display_name":"Arctic and Antarctic ice dynamics","score":0.9797000288963318,"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/geostationary-orbit","display_name":"Geostationary orbit","score":0.9418818950653076},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.670050859451294},{"id":"https://openalex.org/keywords/snow-cover","display_name":"Snow cover","score":0.6458289623260498},{"id":"https://openalex.org/keywords/snow","display_name":"Snow","score":0.6231710910797119},{"id":"https://openalex.org/keywords/meteorological-satellite","display_name":"Meteorological satellite","score":0.6203305721282959},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5667396783828735},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5432206392288208},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.47773000597953796},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.47180619835853577},{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.4422807991504669},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.3500826358795166},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3311947286128998},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.3241668939590454},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20496264100074768},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13602107763290405},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.12750762701034546},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09830132126808167}],"concepts":[{"id":"https://openalex.org/C16405173","wikidata":"https://www.wikidata.org/wiki/Q192316","display_name":"Geostationary orbit","level":3,"score":0.9418818950653076},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.670050859451294},{"id":"https://openalex.org/C2983043445","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow cover","level":3,"score":0.6458289623260498},{"id":"https://openalex.org/C197046000","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow","level":2,"score":0.6231710910797119},{"id":"https://openalex.org/C3018785420","wikidata":"https://www.wikidata.org/wiki/Q209363","display_name":"Meteorological satellite","level":4,"score":0.6203305721282959},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5667396783828735},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5432206392288208},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.47773000597953796},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.47180619835853577},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.4422807991504669},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.3500826358795166},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3311947286128998},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.3241668939590454},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20496264100074768},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13602107763290405},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.12750762701034546},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09830132126808167},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10641862","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10641862","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":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.7699999809265137}],"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":12,"referenced_works":["https://openalex.org/W2042297529","https://openalex.org/W2124410149","https://openalex.org/W2759381486","https://openalex.org/W2900514107","https://openalex.org/W2981002606","https://openalex.org/W2987041734","https://openalex.org/W3212229793","https://openalex.org/W4281693171","https://openalex.org/W4285012084","https://openalex.org/W4286471542","https://openalex.org/W4313561487","https://openalex.org/W4399140536"],"related_works":["https://openalex.org/W4393423908","https://openalex.org/W2585663432","https://openalex.org/W338402370","https://openalex.org/W169748493","https://openalex.org/W2355295607","https://openalex.org/W2558750709","https://openalex.org/W2794501863","https://openalex.org/W2392321394","https://openalex.org/W4383570964","https://openalex.org/W2047281124"],"abstract_inverted_index":{"One":[0],"of":[1,5,15,58,64,94,124,184,195,212],"the":[2,6,12,22,41,49,89,99,121,142,201,217],"main":[3],"features":[4],"Asian":[7,50,100],"Water":[8,51,101],"Tower":[9,102],"imbalance":[10],"is":[11],"massive":[13],"melting":[14],"snow,":[16],"necessitating":[17],"enhanced":[18],"snow":[19,79,117,133,206,240],"monitoring.":[20,241],"However,":[21,216],"sensors":[23],"aboard":[24],"polar-orbiting":[25],"satellites,":[26],"such":[27],"as":[28,160],"MODIS,":[29],"yield":[30],"only":[31],"one":[32],"to":[33,77,186,214,222,229],"two":[34,126],"valid":[35],"observations":[36],"daily.":[37],"This,":[38],"coupled":[39],"with":[40,80,149,209],"extensive":[42],"cloud":[43],"cover":[44,118,134],"and":[45,68,96,139,188,232,238],"prolonged":[46],"duration":[47],"over":[48],"Tower,":[52],"results":[53,167],"in":[54,98,120],"a":[55,112,189],"significant":[56],"number":[57],"data":[59,162],"gaps.":[60],"China's":[61],"new":[62],"generation":[63],"geostationary":[65],"satellites":[66],"FY-4A":[67,95,138,231],"FY-4B":[69,97,233],"have":[70],"high":[71,81,236],"frequency":[72],"observations,":[73],"making":[74],"it":[75],"possible":[76],"monitor":[78],"precision.":[82],"In":[83],"this":[84,129],"study,":[85],"we":[86],"systematically":[87],"analyze":[88],"image":[90],"pixel":[91,176,223],"size":[92,177,224],"stretching":[93],"region,":[103],"based":[104],"on":[105],"their":[106],"imaging":[107],"geometry.":[108],"This":[109],"analysis":[110,147],"offers":[111],"theoretical":[113],"foundation":[114],"for":[115,137,163],"fractional":[116,132],"retrieval":[119,136,171,202],"subsequent":[122],"integration":[123],"these":[125],"satellites.":[127],"Concurrently,":[128],"study":[130],"conducts":[131],"(FSC)":[135],"FY-4B,":[140,200],"utilizing":[141],"multiple":[143],"endmember":[144,151],"spectral":[145],"mixture":[146],"algorithm":[148],"automatic":[150],"extraction":[152],"(MESMA-AGE).":[153],"High":[154],"spatial":[155],"resolution":[156],"Landsat-8":[157],"imagery":[158],"serves":[159],"reference":[161],"accuracy":[164,172,203],"assessment.":[165],"The":[166],"indicated":[168],"that":[169],"FY-4A's":[170],"remained":[173],"unaffected":[174],"by":[175],"stretching,":[178,225],"achieving":[179],"an":[180,210],"Overall":[181],"Accuracy":[182],"(OA)":[183],"up":[185,213],"0.97":[187],"Root":[190],"Mean":[191],"Square":[192],"Error":[193],"(RMSE)":[194],"less":[196],"than":[197],"0.13.":[198],"For":[199],"demonstrated":[204],"higher":[205],"identification":[207],"precision,":[208],"OA":[211],"0.95.":[215],"RMSE":[218],"varied":[219],"significantly":[220],"due":[221],"ranging":[226],"from":[227],"0.12":[228],"0.21.":[230],"fusion":[234],"enables":[235],"precision":[237],"near-real-time":[239]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}