{"id":"https://openalex.org/W2749751926","doi":"https://doi.org/10.1109/jstars.2017.2735443","title":"Surface Water Mapping by Deep Learning","display_name":"Surface Water Mapping by Deep Learning","publication_year":2017,"publication_date":"2017-08-21","ids":{"openalex":"https://openalex.org/W2749751926","doi":"https://doi.org/10.1109/jstars.2017.2735443","mag":"2749751926"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2017.2735443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2017.2735443","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5113805386","display_name":"Furkan Isikdogan","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Furkan Isikdogan","raw_affiliation_strings":["University of Texas at Austin, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075463806","display_name":"Alan C. Bovik","orcid":"https://orcid.org/0000-0001-6067-710X"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alan C. Bovik","raw_affiliation_strings":["University of Texas at Austin, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029433482","display_name":"Paola Passalacqua","orcid":"https://orcid.org/0000-0002-4763-7231"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paola Passalacqua","raw_affiliation_strings":["University of Texas at Austin, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":11.9752,"has_fulltext":false,"cited_by_count":327,"citation_normalized_percentile":{"value":0.99207826,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"10","issue":"11","first_page":"4909","last_page":"4918"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9997000098228455,"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9997000098228455,"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/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.9957000017166138,"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":0.9833999872207642,"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/snow","display_name":"Snow","score":0.6952311396598816},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.646812379360199},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6309845447540283},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.616039514541626},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5697373747825623},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5543656349182129},{"id":"https://openalex.org/keywords/surface-water","display_name":"Surface water","score":0.5032128691673279},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4782665967941284},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4028589129447937},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.28027939796447754},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.2628627419471741},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.23408165574073792},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.21803131699562073},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13818418979644775}],"concepts":[{"id":"https://openalex.org/C197046000","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow","level":2,"score":0.6952311396598816},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.646812379360199},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6309845447540283},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.616039514541626},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5697373747825623},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5543656349182129},{"id":"https://openalex.org/C8625798","wikidata":"https://www.wikidata.org/wiki/Q752112","display_name":"Surface water","level":2,"score":0.5032128691673279},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4782665967941284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4028589129447937},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.28027939796447754},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.2628627419471741},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.23408165574073792},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.21803131699562073},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13818418979644775},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2017.2735443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2017.2735443","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6"}],"awards":[{"id":"https://openalex.org/G1474151702","display_name":null,"funder_award_id":"SEES/OCE-1600222","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1962876692","display_name":null,"funder_award_id":"CAREER/EAR1350336","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8070656233","display_name":null,"funder_award_id":"FESD/EAR1135427","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W360623563","https://openalex.org/W1522301498","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1745334888","https://openalex.org/W1817277359","https://openalex.org/W1836465849","https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W1905829557","https://openalex.org/W1905882502","https://openalex.org/W1912954554","https://openalex.org/W1966580635","https://openalex.org/W1976978666","https://openalex.org/W1980225565","https://openalex.org/W1995581599","https://openalex.org/W2020795785","https://openalex.org/W2066916495","https://openalex.org/W2077509829","https://openalex.org/W2097117768","https://openalex.org/W2098676252","https://openalex.org/W2099577969","https://openalex.org/W2101678239","https://openalex.org/W2103328396","https://openalex.org/W2108598243","https://openalex.org/W2154985549","https://openalex.org/W2179843978","https://openalex.org/W2190186811","https://openalex.org/W2192883182","https://openalex.org/W2194775991","https://openalex.org/W2211843587","https://openalex.org/W2291068538","https://openalex.org/W2341130385","https://openalex.org/W2395611524","https://openalex.org/W2428977877","https://openalex.org/W2560167313","https://openalex.org/W2587790406","https://openalex.org/W2618530766","https://openalex.org/W2962835968","https://openalex.org/W2963446712","https://openalex.org/W2963881378","https://openalex.org/W2964121744","https://openalex.org/W4239072543","https://openalex.org/W4300126339","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6638480814","https://openalex.org/W6638667902","https://openalex.org/W6639102338","https://openalex.org/W6675415620","https://openalex.org/W6676297131","https://openalex.org/W6687157873","https://openalex.org/W6725739302"],"related_works":["https://openalex.org/W4399671601","https://openalex.org/W1992962589","https://openalex.org/W2910852340","https://openalex.org/W3032871857","https://openalex.org/W2913143114","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Mapping":[0],"of":[1,9,18,157],"surface":[2,40,130],"water":[3,41,58,105,131,145,158,171],"is":[4,141],"useful":[5],"in":[6,23],"a":[7,39,125,135],"variety":[8],"remote":[10],"sensing":[11],"applications,":[12],"such":[13],"as":[14,50,52,183],"estimating":[15],"the":[16,31,69,75,155,165],"availability":[17],"water,":[19],"measuring":[20],"its":[21],"change":[22],"time,":[24],"and":[25,28,73,89,91,94,112,177,187],"predicting":[26],"droughts":[27],"floods.":[29],"Using":[30],"imagery":[32],"acquired":[33],"by":[34],"currently":[35],"active":[36],"Landsat":[37,57,147,181],"missions,":[38],"map":[42],"can":[43],"be":[44],"generated":[45],"from":[46,81,87,92,160,163,172],"any":[47],"selected":[48,62],"region":[49,70],"often":[51],"every":[53],"8":[54],"days.":[55],"Traditional":[56],"indices":[59],"require":[60],"carefully":[61],"threshold":[63],"values":[64],"that":[65,102,140],"vary":[66],"depending":[67],"on":[68,74,109,146],"being":[71,97],"imaged":[72],"atmospheric":[76],"conditions.":[77],"They":[78],"also":[79],"suffer":[80],"many":[82],"false":[83],"positives,":[84],"arising":[85],"mainly":[86],"snow":[88],"ice,":[90,175],"terrain":[93],"cloud":[95],"shadows":[96,178],"mistaken":[98],"for":[99],"water.":[100],"Systems":[101],"produce":[103],"high-quality":[104],"maps":[106],"usually":[107],"rely":[108],"ancillary":[110],"data":[111,161],"complex":[113],"rule-based":[114],"expert":[115],"systems":[116],"to":[117,129,143],"overcome":[118],"these":[119],"problems.":[120],"Here,":[121],"we":[122],"instead":[123],"adopt":[124],"data-driven,":[126],"deep-learning-based":[127],"approach":[128],"mapping.":[132],"We":[133],"propose":[134],"fully":[136],"convolutional":[137],"neural":[138],"network":[139],"trained":[142,168,188],"segment":[144],"imagery.":[148],"Our":[149,185],"proposed":[150],"model,":[151],"named":[152],"Deep-WaterMap,":[153],"learns":[154],"characteristics":[156],"bodies":[159],"drawn":[162],"across":[164],"globe.":[166],"The":[167],"model":[169],"separates":[170],"land,":[173],"snow,":[174],"clouds,":[176],"using":[179],"only":[180],"bands":[182],"input.":[184],"code":[186],"models":[189],"are":[190],"publicly":[191],"available":[192],"at":[193],"http://live.ece.utexas.edu/research/deepwatermap/.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":41},{"year":2024,"cited_by_count":46},{"year":2023,"cited_by_count":50},{"year":2022,"cited_by_count":56},{"year":2021,"cited_by_count":46},{"year":2020,"cited_by_count":31},{"year":2019,"cited_by_count":31},{"year":2018,"cited_by_count":10}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
