{"id":"https://openalex.org/W4412795529","doi":"https://doi.org/10.1109/jstars.2025.3594612","title":"Evaluating Flood Susceptibility in Coastal Regions of China Using Deep Learning Models and Multispectral Remote Sensing Data","display_name":"Evaluating Flood Susceptibility in Coastal Regions of China Using Deep Learning Models and Multispectral Remote Sensing Data","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412795529","doi":"https://doi.org/10.1109/jstars.2025.3594612"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3594612","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3594612","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":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2025.3594612","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115595683","display_name":"Qin Wang","orcid":"https://orcid.org/0009-0004-3954-7879"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qin Wang","raw_affiliation_strings":["School of Civil, Aerospace and Design Engineering, University of Bristol, Bristol, U.K","School of Civil, Aerospace and Design Engineering, University of Bristol, Bristol, UK"],"raw_orcid":"https://orcid.org/0009-0004-3954-7879","affiliations":[{"raw_affiliation_string":"School of Civil, Aerospace and Design Engineering, University of Bristol, Bristol, U.K","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"School of Civil, Aerospace and Design Engineering, University of Bristol, Bristol, UK","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chen Li","orcid":"https://orcid.org/0009-0001-9123-7366"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chen Li","raw_affiliation_strings":["School of Civil, Aerospace and Design Engineering, University of Bristol, Bristol, U.K","School of Civil, Aerospace and Design Engineering, University of Bristol, Bristol, UK"],"raw_orcid":"https://orcid.org/0009-0001-9123-7366","affiliations":[{"raw_affiliation_string":"School of Civil, Aerospace and Design Engineering, University of Bristol, Bristol, U.K","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"School of Civil, Aerospace and Design Engineering, University of Bristol, Bristol, UK","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"last","author":{"id":null,"display_name":"Qinglin Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinglin Zhong","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":2.0551,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.86457556,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"18","issue":null,"first_page":"20611","last_page":"20623"},"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/T11483","display_name":"Tropical and Extratropical Cyclones Research","score":0.9868000149726868,"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/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.9850999712944031,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.8232260942459106},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7291486859321594},{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.6072772741317749},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.5411722660064697},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.46915924549102783},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4316478371620178},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3726302981376648},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.35273879766464233},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3279227912425995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25326842069625854},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15369519591331482}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8232260942459106},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7291486859321594},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.6072772741317749},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.5411722660064697},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.46915924549102783},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4316478371620178},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3726302981376648},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.35273879766464233},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3279227912425995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25326842069625854},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15369519591331482},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/jstars.2025.3594612","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3594612","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":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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"},{"id":"pmh:oai:research-information.bris.ac.uk:openaire/4e685078-8970-448c-a3f5-1153184aa7db","is_oa":true,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/4e685078-8970-448c-a3f5-1153184aa7db","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wang, Q, Li, C & Zhong, Q 2025, 'Evaluating Flood Susceptibility in Coastal Regions of China Using Deep Learning Models and Multispectral Remote Sensing Data', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, 3594612, pp. 20611-20623. https://doi.org/10.1109/JSTARS.2025.3594612","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:d3b2b609f7c74671b6728b5c40c77d3d","is_oa":true,"landing_page_url":"https://doaj.org/article/d3b2b609f7c74671b6728b5c40c77d3d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 20611-20623 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3594612","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3594612","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":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2013288059","https://openalex.org/W2048676851","https://openalex.org/W2081601823","https://openalex.org/W2177431130","https://openalex.org/W2787091153","https://openalex.org/W2795432301","https://openalex.org/W2798122215","https://openalex.org/W2804811246","https://openalex.org/W2884436604","https://openalex.org/W2920026528","https://openalex.org/W2963881378","https://openalex.org/W2991453722","https://openalex.org/W3102927640","https://openalex.org/W3117652191","https://openalex.org/W3125832420","https://openalex.org/W3170089617","https://openalex.org/W3195342722","https://openalex.org/W3210789979","https://openalex.org/W4205671116","https://openalex.org/W4205780348","https://openalex.org/W4206077243","https://openalex.org/W4206274187","https://openalex.org/W4282824039","https://openalex.org/W4283168768","https://openalex.org/W4288064544","https://openalex.org/W4293070471","https://openalex.org/W4309337725","https://openalex.org/W4313009917","https://openalex.org/W4327712993","https://openalex.org/W4365454979","https://openalex.org/W4367627273","https://openalex.org/W4378532848","https://openalex.org/W4380903903","https://openalex.org/W4386952070","https://openalex.org/W4387331153","https://openalex.org/W4387587554","https://openalex.org/W4388501533","https://openalex.org/W4388558249","https://openalex.org/W4390913758","https://openalex.org/W4391849411","https://openalex.org/W4399099467","https://openalex.org/W4399214167","https://openalex.org/W4399686612","https://openalex.org/W4400350742","https://openalex.org/W4401109670","https://openalex.org/W4401976838","https://openalex.org/W4402125357","https://openalex.org/W4402442455","https://openalex.org/W4402660665","https://openalex.org/W4402834565","https://openalex.org/W4403400645","https://openalex.org/W4403761007","https://openalex.org/W4404288795","https://openalex.org/W4405303942","https://openalex.org/W4405782925","https://openalex.org/W4406093206","https://openalex.org/W4406838673","https://openalex.org/W4408784373","https://openalex.org/W4408803636","https://openalex.org/W4408866926","https://openalex.org/W4408970908","https://openalex.org/W4409489713","https://openalex.org/W4409605176","https://openalex.org/W4409653845","https://openalex.org/W4409912505","https://openalex.org/W4409973181","https://openalex.org/W4410177900","https://openalex.org/W4410415528","https://openalex.org/W4410855983","https://openalex.org/W4410922308","https://openalex.org/W4410934923","https://openalex.org/W4410974294","https://openalex.org/W4410977855","https://openalex.org/W4411255392","https://openalex.org/W4411300825","https://openalex.org/W4411407299","https://openalex.org/W4411443338"],"related_works":["https://openalex.org/W2128126485","https://openalex.org/W4382563209","https://openalex.org/W2124952510","https://openalex.org/W2777937183","https://openalex.org/W2108633818","https://openalex.org/W1752760603","https://openalex.org/W1995889410","https://openalex.org/W4389779246","https://openalex.org/W1517037119","https://openalex.org/W2125510194"],"abstract_inverted_index":{"For":[0],"successful":[1],"disaster":[2],"management,":[3],"risk":[4],"assessment,":[5],"and":[6,22,56,100,125,128,138,164,190],"long-term":[7],"growth":[8],"in":[9,39,119,159],"coastal":[10,43,161,182],"areas":[11,38,162],"that":[12,113],"are":[13],"at":[14],"risk,":[15],"it":[16,129],"is":[17,117],"essential":[18,90],"to":[19,73,102,184,188],"have":[20],"accurate":[21],"up-to-date":[23],"flood":[24,71,157,173],"maps.":[25],"We":[26,61,88],"examine":[27],"sophisticated":[28],"deep":[29],"learning":[30],"models":[31],"for":[32,84,149,171],"distinguishing":[33],"the":[34,46,57,75,104,110,114,121],"meanings":[35],"of":[36,77,109,136],"flood-affected":[37],"China's":[40,181],"most":[41],"flood-prone":[42],"regions,":[44],"including":[45,93],"Yangtze":[47],"River":[48,51],"Delta,":[49,52],"Pearl":[50],"Eastern":[53],"Coastal":[54],"China,":[55],"Bohai":[58],"Sea":[59],"region.":[60],"utilize":[62,89],"a":[63,133],"high-resolution":[64],"aerial":[65],"imagery":[66],"dataset":[67],"with":[68,151],"manually":[69],"annotated":[70],"masks":[72],"evaluate":[74,103],"effectiveness":[76],"an":[78],"Attention":[79,115],"U-Net":[80,116],"architecture":[81],"designed":[82],"explicitly":[83],"binary":[85],"flood-water":[86],"delineation.":[87],"segmentation":[91],"measures,":[92],"Intersection":[94],"over":[95],"Union":[96],"(IoU),":[97],"F1-score,":[98],"accuracy,":[99],"recall,":[101],"model's":[105],"performance.":[106],"The":[107,142],"findings":[108],"experiments":[111],"suggest":[112],"effective":[118],"identifying":[120],"difference":[122],"between":[123],"flooded":[124],"non-flooded":[126],"areas,":[127],"performs":[130],"well":[131],"across":[132],"wide":[134],"range":[135],"geographic":[137],"land":[139],"cover":[140],"settings.":[141],"system":[143],"shown":[144],"here":[145],"holds":[146],"considerable":[147],"promise":[148],"working":[150],"multi-sensor":[152],"data":[153],"fusion":[154],"methodologies,":[155],"making":[156],"monitoring":[158],"complex":[160],"easier":[163],"faster.":[165],"This":[166],"research":[167],"provides":[168],"valuable":[169],"insights":[170],"enhancing":[172],"mapping":[174],"using":[175],"remote":[176],"sensing,":[177],"which":[178],"will":[179],"enable":[180],"megadeltas":[183],"respond":[185],"more":[186],"effectively":[187],"disasters":[189],"mitigate":[191],"risks.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}