{"id":"https://openalex.org/W2013885222","doi":"https://doi.org/10.1109/igarss.2015.7325858","title":"Estimation of water cloud parameters using time series aquarius middle beam data","display_name":"Estimation of water cloud parameters using time series aquarius middle beam data","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2013885222","doi":"https://doi.org/10.1109/igarss.2015.7325858","mag":"2013885222"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2015.7325858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7325858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/A5015333008","display_name":"Chenzhou Liu","orcid":"https://orcid.org/0000-0003-0848-5076"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenzhou Liu","raw_affiliation_strings":["School of Agriculture, Henan University of Science and Technology, Luoyang, China","School of Agriculture, Henan University of Science and Technology, Luoyang 471003, China"],"affiliations":[{"raw_affiliation_string":"School of Agriculture, Henan University of Science and Technology, Luoyang, China","institution_ids":["https://openalex.org/I167383011"]},{"raw_affiliation_string":"School of Agriculture, Henan University of Science and Technology, Luoyang 471003, China","institution_ids":["https://openalex.org/I167383011"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006636279","display_name":"Jiancheng Shi","orcid":"https://orcid.org/0000-0002-6163-2912"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"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":"Jiancheng Shi","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Beijing, China","State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Beijing 100101, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015333008"],"corresponding_institution_ids":["https://openalex.org/I167383011"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.04496062,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"693","last_page":"695"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9994000196456909,"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/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9994000196456909,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9624000191688538,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scatterometer","display_name":"Scatterometer","score":0.9102302193641663},{"id":"https://openalex.org/keywords/backscatter","display_name":"Backscatter (email)","score":0.7524057626724243},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.7319701910018921},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6991354823112488},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.657237708568573},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5512767434120178},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.4390102028846741},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.42626795172691345},{"id":"https://openalex.org/keywords/atmospheric-sciences","display_name":"Atmospheric sciences","score":0.33675417304039},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2863617539405823},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.25773170590400696},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12005263566970825},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10700049996376038},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.10521337389945984},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08933684229850769}],"concepts":[{"id":"https://openalex.org/C2776212561","wikidata":"https://www.wikidata.org/wiki/Q905295","display_name":"Scatterometer","level":3,"score":0.9102302193641663},{"id":"https://openalex.org/C30354325","wikidata":"https://www.wikidata.org/wiki/Q204667","display_name":"Backscatter (email)","level":3,"score":0.7524057626724243},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.7319701910018921},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6991354823112488},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.657237708568573},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5512767434120178},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.4390102028846741},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.42626795172691345},{"id":"https://openalex.org/C91586092","wikidata":"https://www.wikidata.org/wiki/Q757520","display_name":"Atmospheric sciences","level":1,"score":0.33675417304039},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2863617539405823},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.25773170590400696},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12005263566970825},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10700049996376038},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.10521337389945984},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08933684229850769},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2015.7325858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7325858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"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":9,"referenced_works":["https://openalex.org/W2055526942","https://openalex.org/W2057775495","https://openalex.org/W2083556400","https://openalex.org/W2084952127","https://openalex.org/W2109898366","https://openalex.org/W2112063933","https://openalex.org/W2130515708","https://openalex.org/W2191039732","https://openalex.org/W4319779778"],"related_works":["https://openalex.org/W1589762804","https://openalex.org/W2546488237","https://openalex.org/W3000499464","https://openalex.org/W2070850297","https://openalex.org/W2146056128","https://openalex.org/W2113437624","https://openalex.org/W3130749594","https://openalex.org/W2566865967","https://openalex.org/W2054436446","https://openalex.org/W4254698188"],"abstract_inverted_index":{"Using":[0],"time":[1],"series":[2],"Aquarius":[3,65],"middle":[4],"beam":[5],"scatterometer":[6,66,99,132],"observations,":[7,100],"the":[8,34,49,61,64,73,93,98,105,108,123,135],"two":[9,26],"vegetation":[10,52,55,79,89,136],"parameters":[11,56,80,95,137],"C":[12],"and":[13,68],"D":[14],"in":[15,116],"water":[16,41,74,124],"cloud":[17,42,75,125],"model":[18,29,43,126],"were":[19,57],"estimated.":[20],"Vegetation":[21],"backscatter":[22,69],"was":[23,30,44,102,111],"derived":[24],"using":[25,92],"models:":[27],"Oh":[28],"used":[31],"to":[32,46,96,130],"describe":[33],"scattering":[35],"from":[36],"bare":[37],"soil":[38],"surface,":[39],"while":[40],"implemented":[45],"account":[47],"for":[48,87],"effect":[50],"of":[51,107],"canopy.":[53],"The":[54,77],"estimated":[58],"by":[59,72],"minimizing":[60],"deviations":[62],"between":[63],"observations":[67,133],"coefficients":[70],"simulated":[71],"model.":[76],"retrieved":[78,94],"are":[81,84,138],"vegetation-specific,":[82],"which":[83],"assumed":[85],"constant":[86],"each":[88],"types.":[90],"By":[91],"simulate":[97],"it":[101],"found":[103],"that":[104,122],"error":[106],"simulation":[109],"(RMSE)":[110],"less":[112],"than":[113],"3":[114],"dB":[115],"most":[117],"areas.":[118],"This":[119],"research":[120],"demonstrated":[121],"could":[127],"be":[128],"applied":[129],"global":[131],"if":[134],"appropriately":[139],"set.":[140]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
