{"id":"https://openalex.org/W2135115834","doi":"https://doi.org/10.1109/igarss.2007.4423952","title":"Probabilistic fusion of spatio-temporal data to estimate stream flow via Bayesian networks","display_name":"Probabilistic fusion of spatio-temporal data to estimate stream flow via Bayesian networks","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2135115834","doi":"https://doi.org/10.1109/igarss.2007.4423952","mag":"2135115834"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2007.4423952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2007.4423952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 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/A5068418443","display_name":"Karthik Nagarajan","orcid":"https://orcid.org/0000-0002-0453-7302"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K. Nagarajan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","[Univ. of Florida, Gainesville]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"[Univ. of Florida, Gainesville]","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039734148","display_name":"C. Krekeler","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. Krekeler","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","[Univ. of Florida, Gainesville]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"[Univ. of Florida, Gainesville]","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026816152","display_name":"K. Clint Slatton","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K. C. Slatton","raw_affiliation_strings":["University of Florida, Gainesville, FL, US","[Univ. of Florida, Gainesville]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florida, Gainesville, FL, US","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"[Univ. of Florida, Gainesville]","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":2.6373,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87669053,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4870","last_page":"4873"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9984999895095825,"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.998199999332428,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.6949065327644348},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6562074422836304},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.544148325920105},{"id":"https://openalex.org/keywords/watershed","display_name":"Watershed","score":0.5378363132476807},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.5308542847633362},{"id":"https://openalex.org/keywords/streamflow","display_name":"Streamflow","score":0.45813751220703125},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43015366792678833},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3450811505317688},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.32953059673309326},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19297605752944946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17614245414733887},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.15242165327072144},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14658617973327637},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.13783693313598633},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11438369750976562},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0864706039428711},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07921385765075684}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6949065327644348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6562074422836304},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.544148325920105},{"id":"https://openalex.org/C150547873","wikidata":"https://www.wikidata.org/wiki/Q947851","display_name":"Watershed","level":2,"score":0.5378363132476807},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.5308542847633362},{"id":"https://openalex.org/C53739315","wikidata":"https://www.wikidata.org/wiki/Q29425295","display_name":"Streamflow","level":3,"score":0.45813751220703125},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43015366792678833},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3450811505317688},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.32953059673309326},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19297605752944946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17614245414733887},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.15242165327072144},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14658617973327637},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.13783693313598633},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11438369750976562},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0864706039428711},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07921385765075684},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C126645576","wikidata":"https://www.wikidata.org/wiki/Q166620","display_name":"Drainage basin","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2007.4423952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2007.4423952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6499999761581421}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306107","display_name":"U.S. Environmental Protection Agency","ror":"https://ror.org/03tns0030"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2037460094","https://openalex.org/W2127819964"],"related_works":["https://openalex.org/W2439644404","https://openalex.org/W3174343427","https://openalex.org/W2000979301","https://openalex.org/W98325756","https://openalex.org/W2061279527","https://openalex.org/W105199006","https://openalex.org/W4213385761","https://openalex.org/W2335811955","https://openalex.org/W2143924575","https://openalex.org/W4200084543"],"abstract_inverted_index":{"Stream":[0],"flow":[1,23,34,62,83],"directly":[2],"impacts":[3],"flooding":[4],"and":[5,9,16,21,40,47,57,65,117,127,153],"transport":[6],"of":[7,19,30,144],"sediments":[8],"pollutants":[10],"(e.g.":[11],"NO3)":[12],"in":[13,31,151],"watershed":[14],"systems,":[15],"hence":[17],"knowledge":[18],"current":[20],"future":[22],"is":[24,50,138],"important.":[25],"Unfortunately,":[26],"spatially":[27],"dense":[28],"networks":[29],"situ":[32],"stream":[33,61],"meters":[35],"are":[36,90],"not":[37],"generally":[38],"available":[39],"would":[41],"be":[42,69,98],"prohibitively":[43],"expensive":[44],"to":[45,81,97,121,140,149],"deploy":[46],"maintain.":[48],"It":[49],"known":[51],"that":[52,134,147],"surface":[53],"morphology,":[54],"land":[55],"cover,":[56],"rainfall":[58],"can":[59,68],"impact":[60],"through":[63],"time,":[64],"these":[66],"quantities":[67],"measured":[70],"using":[71,84],"remote":[72],"sensing":[73],"techniques.":[74],"Physically-based":[75],"hydrologic":[76,145],"models":[77,126],"have":[78,96],"been":[79],"used":[80],"estimate":[82],"such":[85,88],"data,":[86],"but":[87],"approaches":[89],"limited":[91],"because":[92],"severe":[93],"assumptions":[94],"often":[95],"made":[99],"for":[100],"many":[101],"input":[102],"values.":[103],"We":[104,132],"present":[105],"an":[106],"alternative":[107],"approach":[108],"based":[109,123],"upon":[110],"a":[111],"spatio-temporal":[112],"Bayesian":[113],"network":[114],"(STBN)":[115],"solution":[116],"compare":[118],"its":[119],"performance":[120],"methods":[122],"on":[124],"physical":[125],"more":[128],"approximate":[129],"probabilistic":[130],"models.":[131],"show":[133],"the":[135,142,158],"STBN":[136],"method":[137],"able":[139],"capture":[141],"non-stationarity":[143],"processes":[146],"contribute":[148],"streamflow":[150],"space":[152],"time":[154],"while":[155],"also":[156],"limiting":[157],"computational":[159],"requirements.":[160]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
