{"id":"https://openalex.org/W2057532702","doi":"https://doi.org/10.1109/tgrs.2011.2166120","title":"Uncertainty Analysis of Neural-Network-Based Aerosol Retrieval","display_name":"Uncertainty Analysis of Neural-Network-Based Aerosol Retrieval","publication_year":2011,"publication_date":"2011-10-05","ids":{"openalex":"https://openalex.org/W2057532702","doi":"https://doi.org/10.1109/tgrs.2011.2166120","mag":"2057532702"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2011.2166120","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2011.2166120","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5046783666","display_name":"Kosta Ristovski","orcid":null},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kosta Ristovski","raw_affiliation_strings":["Center for Data Analytics and Biomedical Informatics, Temple University, Philadelphia, PA, USA","Center for Data Analytics & Biomed. Inf., Temple Univ., Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Center for Data Analytics and Biomedical Informatics, Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]},{"raw_affiliation_string":"Center for Data Analytics & Biomed. Inf., Temple Univ., Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059847153","display_name":"Slobodan Vu\u010deti\u0107","orcid":"https://orcid.org/0000-0001-5884-6293"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Slobodan Vucetic","raw_affiliation_strings":["Center for Data Analytics and Biomedical Informatics, Temple University, Philadelphia, PA, USA","Center for Data Analytics & Biomed. Inf., Temple Univ., Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Center for Data Analytics and Biomedical Informatics, Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]},{"raw_affiliation_string":"Center for Data Analytics & Biomed. Inf., Temple Univ., Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044038055","display_name":"Zoran Obradovi\u0107","orcid":"https://orcid.org/0000-0002-2051-0142"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zoran Obradovic","raw_affiliation_strings":["Center for Data Analytics and Biomedical Informatics, Temple University, Philadelphia, PA, USA","Center for Data Analytics & Biomed. Inf., Temple Univ., Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Center for Data Analytics and Biomedical Informatics, Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]},{"raw_affiliation_string":"Center for Data Analytics & Biomed. Inf., Temple Univ., Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046783666"],"corresponding_institution_ids":["https://openalex.org/I84392919"],"apc_list":null,"apc_paid":null,"fwci":1.2961,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.81106619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"50","issue":"2","first_page":"409","last_page":"414"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10347","display_name":"Atmospheric aerosols and clouds","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987000226974487,"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":0.9987000226974487,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.7556371688842773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.648245632648468},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6009931564331055},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5406062602996826},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4960831105709076},{"id":"https://openalex.org/keywords/aerosol","display_name":"Aerosol","score":0.46841493248939514},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4451090693473816},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35691189765930176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3352842926979065},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.22819095849990845},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1305149495601654},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12678000330924988},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07711821794509888}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7556371688842773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.648245632648468},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6009931564331055},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5406062602996826},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4960831105709076},{"id":"https://openalex.org/C2779345167","wikidata":"https://www.wikidata.org/wiki/Q104541","display_name":"Aerosol","level":2,"score":0.46841493248939514},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4451090693473816},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35691189765930176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3352842926979065},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.22819095849990845},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1305149495601654},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12678000330924988},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07711821794509888}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2011.2166120","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2011.2166120","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1554663460","https://openalex.org/W1981276685","https://openalex.org/W1991146308","https://openalex.org/W2045800824","https://openalex.org/W2048801813","https://openalex.org/W2050250373","https://openalex.org/W2067726355","https://openalex.org/W2099954285","https://openalex.org/W2101936384","https://openalex.org/W2115299933","https://openalex.org/W2126357135","https://openalex.org/W2134305421","https://openalex.org/W2141526687","https://openalex.org/W2145265567","https://openalex.org/W2158471180","https://openalex.org/W2160870368","https://openalex.org/W4211049957","https://openalex.org/W4388297464","https://openalex.org/W6679959949"],"related_works":["https://openalex.org/W3126136541","https://openalex.org/W2896789315","https://openalex.org/W2941835033","https://openalex.org/W4213416983","https://openalex.org/W3040270278","https://openalex.org/W2019281257","https://openalex.org/W3125536267","https://openalex.org/W2274645452","https://openalex.org/W1999706086","https://openalex.org/W2521753262"],"abstract_inverted_index":{"Neural":[0,25],"networks":[1,26],"have":[2],"the":[3,30,38,90,131,151,161,165],"ability":[4],"to":[5,28,36,53,69],"represent":[6],"and":[7,12,122,159],"learn":[8],"complex":[9],"regression":[10],"functions":[11],"are":[13,34],"very":[14],"suitable":[15],"for":[16,74],"retrieval":[17,82,154,162],"of":[18,41,56,81,97,111,164],"geophysical":[19],"parameters":[20],"from":[21],"remotely":[22],"sensed":[23],"data.":[24],"trained":[27],"minimize":[29],"mean":[31],"square":[32],"error":[33],"able":[35],"estimate":[37],"conditional":[39],"expectation":[40],"target":[42],"variables.":[43,99],"In":[44,59],"many":[45],"remote":[46],"sensing":[47],"applications,":[48],"it":[49],"is":[50,87,94,147],"also":[51,76],"critical":[52],"provide":[54],"estimates":[55],"prediction":[57],"uncertainty.":[58,83],"this":[60],"paper,":[61],"we":[62],"evaluate":[63],"an":[64],"approach":[65],"that,":[66],"in":[67],"addition":[68],"training":[70],"a":[71,78,95,143],"neural":[72,144],"network":[73,145],"retrievals,":[75],"trains":[77],"neural-network-based":[79],"estimator":[80,86],"The":[84,100,107,139],"uncertainty":[85,93,163],"built":[88],"under":[89],"assumption":[91],"that":[92,142,160],"function":[96],"input":[98],"methodology":[101],"was":[102],"evaluated":[103],"on":[104],"aerosol-optical-depth":[105],"retrieval.":[106],"data":[108],"set":[109],"consists":[110],"38":[112],"238":[113],"collocated":[114],"Moderate":[115],"Resolution":[116],"Imaging":[117],"Spectrometer":[118],"(MODIS)":[119],"satellite":[120],"instrument":[121,127],"Aerosol":[123],"Robotic":[124],"Network":[125],"ground-based":[126],"measurements":[128],"collected":[129],"over":[130],"entire":[132],"Earth":[133],"during":[134],"two":[135],"years":[136],"(in":[137],"2005-2006).":[138],"results":[140],"indicate":[141],"ensemble":[146,166],"more":[148],"accurate":[149],"than":[150],"operational":[152],"MODIS":[153],"algorithm":[155],"called":[156],"Collection":[157],"5":[158],"can":[167],"be":[168],"estimated":[169],"with":[170],"satisfactory":[171],"accuracy.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}