{"id":"https://openalex.org/W2147465180","doi":"https://doi.org/10.1109/igarss.2011.6049746","title":"High resolution satellite precipitation estimate using cluster ensemble cloud classification","display_name":"High resolution satellite precipitation estimate using cluster ensemble cloud classification","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2147465180","doi":"https://doi.org/10.1109/igarss.2011.6049746","mag":"2147465180"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2011.6049746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2011.6049746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Geoscience and Remote Sensing Symposium","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/A5044617819","display_name":"Majid Mahrooghy","orcid":null},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Majid Mahrooghy","raw_affiliation_strings":["Mississippi State University, Mississippi State, MS, US","Department of Electrical Engineering, Mississippi State University, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mississippi State University, Mississippi State, MS, US","institution_ids":["https://openalex.org/I99041443"]},{"raw_affiliation_string":"Department of Electrical Engineering, Mississippi State University, USA#TAB#","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075380767","display_name":"Nicolas H. Younan","orcid":"https://orcid.org/0000-0003-0815-5173"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicolas H. Younan","raw_affiliation_strings":["Mississippi State University, Mississippi State, MS, US","Department of Electrical Engineering, Mississippi State University, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mississippi State University, Mississippi State, MS, US","institution_ids":["https://openalex.org/I99041443"]},{"raw_affiliation_string":"Department of Electrical Engineering, Mississippi State University, USA#TAB#","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026632303","display_name":"Valentine Anantharaj","orcid":"https://orcid.org/0000-0002-9356-1311"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Valentine G. Anantharaj","raw_affiliation_strings":["National Center for Computational Sciences, Oak Ridge National Laboratory, TN, USA","National Center for Computational Sciences, Oak Ridge National Laboratory, Tennessee, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Center for Computational Sciences, Oak Ridge National Laboratory, TN, USA","institution_ids":["https://openalex.org/I1289243028"]},{"raw_affiliation_string":"National Center for Computational Sciences, Oak Ridge National Laboratory, Tennessee, USA","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081614551","display_name":"James V. Aanstoos","orcid":"https://orcid.org/0000-0002-3594-4189"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Aanstoos","raw_affiliation_strings":["Geosystems Research Institute, Mississippi State University, MS, USA","Geosystems Research Institute, Mississippi State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geosystems Research Institute, Mississippi State University, MS, USA","institution_ids":["https://openalex.org/I99041443"]},{"raw_affiliation_string":"Geosystems Research Institute, Mississippi State University, USA","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.9843,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.92657767,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"26","issue":null,"first_page":"2645","last_page":"2648"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","score":1.0,"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/T11234","display_name":"Precipitation Measurement and Analysis","score":1.0,"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/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9991000294685364,"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9939000010490417,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7163870334625244},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6572265625},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6568033695220947},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.58690345287323},{"id":"https://openalex.org/keywords/precipitation","display_name":"Precipitation","score":0.5246579647064209},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.49697354435920715},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.48855504393577576},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4856944978237152},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4430873394012451},{"id":"https://openalex.org/keywords/brightness-temperature","display_name":"Brightness temperature","score":0.4307592213153839},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42238038778305054},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41597139835357666},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.3979651629924774},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3834553062915802},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.18608710169792175},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13750669360160828}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7163870334625244},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6572265625},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6568033695220947},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.58690345287323},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.5246579647064209},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.49697354435920715},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.48855504393577576},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4856944978237152},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4430873394012451},{"id":"https://openalex.org/C53802167","wikidata":"https://www.wikidata.org/wiki/Q4538627","display_name":"Brightness temperature","level":3,"score":0.4307592213153839},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42238038778305054},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41597139835357666},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3979651629924774},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3834553062915802},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.18608710169792175},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13750669360160828},{"id":"https://openalex.org/C44838205","wikidata":"https://www.wikidata.org/wiki/Q127995","display_name":"Microwave","level":2,"score":0.0},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2011.6049746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2011.6049746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W65738273","https://openalex.org/W1995622703","https://openalex.org/W2037183202","https://openalex.org/W2099270539","https://openalex.org/W2100022944","https://openalex.org/W2101394945","https://openalex.org/W2111596024","https://openalex.org/W2115346774","https://openalex.org/W2119803205","https://openalex.org/W2139280638","https://openalex.org/W2165508348","https://openalex.org/W2172609192"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W4324315429","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W2154403887","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W2799953226","https://openalex.org/W1522196789"],"abstract_inverted_index":{"The":[0,37,84,101,126],"link-based":[1],"cluster":[2,65,97,107],"ensemble":[3,66,108],"(LCE)":[4],"method":[5,86],"is":[6,131],"applied":[7],"to":[8,96,117,134],"a":[9,17],"high":[10,139],"resolution":[11],"satellite":[12,82],"precipitation":[13],"estimation":[14],"(HSPE)":[15],"algorithm,":[16],"modified":[18],"form":[19],"of":[20,46,61,72,112,141],"the":[21,40,98,106,110,118],"Precipitation":[22],"Estimation":[23],"from":[24,91],"Remotely":[25],"Sensed":[26],"Imagery":[27],"using":[28,64,81,105,121],"an":[29],"Artificial":[30],"Neural":[31],"Network":[32],"Cloud":[33],"Classification":[34],"(PERSIANN-CCS)":[35],"algorithm.":[36],"HSPE":[38,119],"involves":[39],"following":[41],"four":[42],"steps:":[43],"(1)":[44],"segmentation":[45],"infrared":[47],"cloud":[48,53,62,99],"images":[49],"into":[50],"patches;":[51],"(2)":[52],"patch":[54],"feature":[55],"extraction;":[56],"(3)":[57],"clustering":[58,93],"and":[59,68,76,138],"classification":[60],"patches":[63],"technique;":[67],"(4)":[69],"dynamic":[70],"application":[71],"brightness":[73],"temperature":[74],"(Tb)":[75],"rain":[77],"rate":[78],"relationships,":[79],"derived":[80],"observations.":[83],"LCE":[85],"combines":[87],"multiple":[88],"data":[89],"partitions":[90],"different":[92],"in":[94],"order":[95],"patches.":[100],"results":[102],"show":[103],"that":[104],"increase":[109],"performance":[111],"rainfall":[113,142],"estimates":[114],"if":[115],"compared":[116],"algorithm":[120],"Self":[122],"Organizing":[123],"Map":[124],"(SOM).":[125],"Heidke":[127],"Skill":[128],"Score":[129],"(HSS)":[130],"improved":[132],"5%":[133],"7%":[135],"at":[136],"medium":[137],"level":[140],"thresholds.":[143]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
