{"id":"https://openalex.org/W7134901105","doi":"https://doi.org/10.1109/icdmw69685.2025.00344","title":"Change Detection and Land Cover Classification of Flooded Regions in UAVSAR Imagery Using Deep Learning","display_name":"Change Detection and Land Cover Classification of Flooded Regions in UAVSAR Imagery Using Deep Learning","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W7134901105","doi":"https://doi.org/10.1109/icdmw69685.2025.00344"},"language":null,"primary_location":{"id":"doi:10.1109/icdmw69685.2025.00344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw69685.2025.00344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Data Mining Workshops (ICDMW)","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/A5128784966","display_name":"Kevin Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kevin Tang","raw_affiliation_strings":["Washington University in St. Louis,Computer Science,St. Louis,MO"],"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis,Computer Science,St. Louis,MO","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128739972","display_name":"Christopher Angel Pe\u00f1a Gonzalez","orcid":null},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Angel Pe\u00f1a Gonzalez","raw_affiliation_strings":["University of Rochester,Data Science,Rochester,NY"],"affiliations":[{"raw_affiliation_string":"University of Rochester,Data Science,Rochester,NY","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128789412","display_name":"Nami Lieberman","orcid":null},"institutions":[{"id":"https://openalex.org/I126820664","display_name":"Vassar College","ror":"https://ror.org/022x6qg61","country_code":"US","type":"education","lineage":["https://openalex.org/I126820664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nami Lieberman","raw_affiliation_strings":["Vassar College,Mathematics &#x0026; Statistics,Poughkeepsie,NY"],"affiliations":[{"raw_affiliation_string":"Vassar College,Mathematics &#x0026; Statistics,Poughkeepsie,NY","institution_ids":["https://openalex.org/I126820664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128714661","display_name":"Samantha Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I188592606","display_name":"Hamilton College","ror":"https://ror.org/05709zb94","country_code":"US","type":"education","lineage":["https://openalex.org/I188592606"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samantha Lee","raw_affiliation_strings":["Hamilton College,Data Science &#x0026; Environmental Studies,Clinton,NY"],"affiliations":[{"raw_affiliation_string":"Hamilton College,Data Science &#x0026; Environmental Studies,Clinton,NY","institution_ids":["https://openalex.org/I188592606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051878671","display_name":"Yuanwei Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I22407884","display_name":"University of Maryland Eastern Shore","ror":"https://ror.org/006cymg18","country_code":"US","type":"education","lineage":["https://openalex.org/I22407884"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuanwei Jin","raw_affiliation_strings":["University of Maryland Eastern Shore,Engineering &#x0026; Aviation Sciences,Princess Anne,MD"],"affiliations":[{"raw_affiliation_string":"University of Maryland Eastern Shore,Engineering &#x0026; Aviation Sciences,Princess Anne,MD","institution_ids":["https://openalex.org/I22407884"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061179713","display_name":"Enyue Lu","orcid":"https://orcid.org/0009-0008-7283-4617"},"institutions":[{"id":"https://openalex.org/I9364636","display_name":"Salisbury University","ror":"https://ror.org/029gwvs11","country_code":"US","type":"education","lineage":["https://openalex.org/I9364636"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Enyue Lu","raw_affiliation_strings":["Salisbury University,Computer Science,Salisbury,MD"],"affiliations":[{"raw_affiliation_string":"Salisbury University,Computer Science,Salisbury,MD","institution_ids":["https://openalex.org/I9364636"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5128784966"],"corresponding_institution_ids":["https://openalex.org/I204465549"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.72672413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2679","last_page":"2688"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.3736000061035156,"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":0.3736000061035156,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.24879999458789825,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.08259999752044678,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/change-detection","display_name":"Change detection","score":0.6431999802589417},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.5058000087738037},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4918999969959259},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.44209998846054077},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3483000099658966},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.3359000086784363},{"id":"https://openalex.org/keywords/forest-cover","display_name":"Forest cover","score":0.27489998936653137}],"concepts":[{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.6431999802589417},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6248999834060669},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.5058000087738037},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4918999969959259},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.44209998846054077},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.39719998836517334},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3483000099658966},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.3359000086784363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30649998784065247},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.29350000619888306},{"id":"https://openalex.org/C2986088632","wikidata":"https://www.wikidata.org/wiki/Q4259364","display_name":"Forest cover","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C2989469682","wikidata":"https://www.wikidata.org/wiki/Q1401207","display_name":"Change analysis","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C2983732647","wikidata":"https://www.wikidata.org/wiki/Q187997","display_name":"Vegetation cover","level":3,"score":0.2529999911785126},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdmw69685.2025.00344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw69685.2025.00344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Data Mining Workshops (ICDMW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6651390790939331,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1970672417","https://openalex.org/W1998866072","https://openalex.org/W2012935382","https://openalex.org/W2037206507","https://openalex.org/W2085289201","https://openalex.org/W2087278589","https://openalex.org/W2134451879","https://openalex.org/W2331231823","https://openalex.org/W2560023338","https://openalex.org/W2601459726","https://openalex.org/W2735039185","https://openalex.org/W2787091153","https://openalex.org/W2799843241","https://openalex.org/W2884436604","https://openalex.org/W2884822772","https://openalex.org/W2914010623","https://openalex.org/W2963881378","https://openalex.org/W3088226460","https://openalex.org/W3142421496","https://openalex.org/W3186492510","https://openalex.org/W3211490618","https://openalex.org/W4200614028","https://openalex.org/W4205687832","https://openalex.org/W4213356484","https://openalex.org/W4229367589","https://openalex.org/W4319939156","https://openalex.org/W4410996860"],"related_works":[],"abstract_inverted_index":{"We":[0,160],"present":[1],"research":[2,197],"on":[3,140,166],"detecting":[4],"flooding":[5,122],"changes":[6],"in":[7,125],"NASA's":[8],"Uninhabited":[9],"Aerial":[10],"Vehicle":[11],"Synthetic":[12],"Aperture":[13],"Radar":[14],"(UAVSAR)":[15],"imagery":[16],"using":[17],"deep":[18,142],"learning,":[19],"and":[20,78,92,110,117,133,148,162,169,184],"to":[21,39,61,112,123,129,153],"classify":[22],"the":[23,53,68,164,170],"land":[24,58,79,94,115,189],"cover":[25,59,80,190],"types":[26,64],"affected":[27],"by":[28,43,57,121],"these":[29],"floods.":[30],"First,":[31],"a":[32],"binary":[33],"change":[34,182],"detection":[35,183],"model":[36],"is":[37,73,84,198],"used":[38],"identify":[40],"flooded":[41],"areas":[42],"comparing":[44],"pre-event":[45],"optical":[46],"data":[47,151],"with":[48],"post-event":[49],"UAVSAR":[50,167],"data.":[51],"Next,":[52],"regions":[54],"are":[55,119],"classified":[56],"category":[60],"determine":[62],"which":[63,83,114],"of":[65,105,195],"terrain":[66],"experienced":[67],"most":[69],"inundation.":[70],"The":[71,137,192],"outcome":[72],"an":[74],"integrated":[75],"flood":[76,101],"mapping":[77],"analysis":[81],"tool,":[82],"important":[85],"for":[86,93,145,181,188],"decisions":[87],"regarding":[88],"priority":[89],"disaster":[90],"response":[91],"use":[95],"analysis.":[96],"This":[97],"tool":[98],"provides":[99],"timely":[100],"extent":[102],"maps":[103],"regardless":[104],"weather":[106],"or":[107],"daylight":[108],"conditions":[109],"helps":[111],"understand":[113],"covers":[116],"communities":[118],"impacted":[120],"aid":[124],"recovery":[126],"efforts,":[127],"where":[128],"develop":[130],"preventative":[131],"infrastructure,":[132],"future":[134],"urban":[135],"planning.":[136],"work":[138],"builds":[139],"state-of-the-art":[141],"learning":[143],"methods":[144],"image":[146],"segmentation":[147],"leverages":[149],"geospatial":[150],"platforms":[152],"efficiently":[154],"handle":[155],"large":[156],"remote":[157],"sensing":[158],"datasets.":[159],"train":[161],"test":[163],"models":[165,171],"data,":[168],"achieve":[172],"<tex":[173],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[174],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\mathbf{9":[175],"0.":[176],"0":[177],"\\%}$</tex>":[178],"pixel":[179,186],"accuracy":[180,187],"86.1%":[185],"classification.":[191],"source":[193],"code":[194],"this":[196],"available":[199],"at:":[200],"https://github.com/kevintang6142/flood-detection.":[201]},"counts_by_year":[],"updated_date":"2026-03-13T14:20:09.374765","created_date":"2026-03-12T00:00:00"}
