{"id":"https://openalex.org/W2004353397","doi":"https://doi.org/10.1080/01490419.2013.839974","title":"Generalized Lyzenga's Predictor of Shallow Water Depth for Multispectral Satellite Imagery","display_name":"Generalized Lyzenga's Predictor of Shallow Water Depth for Multispectral Satellite Imagery","publication_year":2013,"publication_date":"2013-09-20","ids":{"openalex":"https://openalex.org/W2004353397","doi":"https://doi.org/10.1080/01490419.2013.839974","mag":"2004353397"},"language":"en","primary_location":{"id":"doi:10.1080/01490419.2013.839974","doi":"https://doi.org/10.1080/01490419.2013.839974","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01490419.2013.839974","pdf_url":null,"source":{"id":"https://openalex.org/S26175489","display_name":"Marine Geodesy","issn_l":"0149-0419","issn":["0149-0419","1521-060X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Marine Geodesy","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W2004353397"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://petit.lib.yamaguchi-u.ac.jp/23038/files/155377","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027371943","display_name":"Ariyo KANNO","orcid":"https://orcid.org/0000-0003-3162-7327","observed_orcids":["https://orcid.org/0000-0003-3162-7327"]},"institutions":[{"id":"https://openalex.org/I173915773","display_name":"Yamaguchi University","ror":"https://ror.org/03cxys317","country_code":"JP","type":"education","lineage":["https://openalex.org/I173915773"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ariyo Kanno","raw_affiliation_strings":["Graduate School of Science and Engineering, Yamaguchi University, Yamaguchi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Yamaguchi University, Yamaguchi, Japan","institution_ids":["https://openalex.org/I173915773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113734307","display_name":"Yoji TANAKA","orcid":"https://orcid.org/0000-0002-3731-4914","observed_orcids":["https://orcid.org/0000-0002-3731-4914"]},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoji Tanaka","raw_affiliation_strings":["Graduate School of Urban Innovation, Yokohama National University, Yokohama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Urban Innovation, Yokohama National University, Yokohama, Japan","institution_ids":["https://openalex.org/I180203408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003662693","display_name":"Akira Kurosawa","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405274784","display_name":"Hitachi Solutions Create, Ltd. (Japan)","ror":"https://ror.org/02b9nhw33","country_code":"JP","type":"company","lineage":["https://openalex.org/I4405274784"]},{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akira Kurosawa","raw_affiliation_strings":["Location Intelligence System Department, Hitachi Solutions, Ltd., Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Location Intelligence System Department, Hitachi Solutions, Ltd., Tokyo, Japan","institution_ids":["https://openalex.org/I4405274784","https://openalex.org/I65143321"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046826900","display_name":"Masahiko Sekine","orcid":"https://orcid.org/0000-0002-0489-9864","observed_orcids":["https://orcid.org/0000-0002-0489-9864"]},"institutions":[{"id":"https://openalex.org/I173915773","display_name":"Yamaguchi University","ror":"https://ror.org/03cxys317","country_code":"JP","type":"education","lineage":["https://openalex.org/I173915773"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiko Sekine","raw_affiliation_strings":["Graduate School of Science and Engineering, Yamaguchi University, Yamaguchi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Yamaguchi University, Yamaguchi, Japan","institution_ids":["https://openalex.org/I173915773"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5177,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.79164397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"36","issue":"4","first_page":"365","last_page":"376"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10647","display_name":"Coastal and Marine Dynamics","score":0.8554999828338623,"subfield":{"id":"https://openalex.org/subfields/1904","display_name":"Earth-Surface Processes"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10647","display_name":"Coastal and Marine Dynamics","score":0.8554999828338623,"subfield":{"id":"https://openalex.org/subfields/1904","display_name":"Earth-Surface Processes"},"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/T11698","display_name":"Underwater Acoustics Research","score":0.09769999980926514,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.02800000086426735,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multispectral-satellite-imagery","display_name":"multispectral satellite imagery","score":0.8500000238418579},{"id":"https://openalex.org/keywords/worldview-2","display_name":"WorldView-2","score":0.8740000128746033},{"id":"https://openalex.org/keywords/relative-depth","display_name":"relative depth","score":0.550000011920929},{"id":"https://openalex.org/keywords/coastal-bathymetry","display_name":"coastal bathymetry","score":0.5820000171661377}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8345731496810913},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.6886927485466003},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6855108737945557},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6628535985946655},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5997907519340515},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.587679922580719},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.5728434324264526},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4753579795360565},{"id":"https://openalex.org/C186348155","wikidata":"https://www.wikidata.org/wiki/Q7975538","display_name":"Waves and shallow water","level":2,"score":0.4490807056427002},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4173157811164856},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3474655747413635},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.32654237747192383},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.32029205560684204},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29205846786499023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.26347559690475464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2103593647480011},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17742890119552612},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07170164585113525},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/01490419.2013.839974","doi":"https://doi.org/10.1080/01490419.2013.839974","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01490419.2013.839974","pdf_url":null,"source":{"id":"https://openalex.org/S26175489","display_name":"Marine Geodesy","issn_l":"0149-0419","issn":["0149-0419","1521-060X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Marine Geodesy","raw_type":"journal-article"},{"id":"pmh:oai:irdb.nii.ac.jp:00828:0000999286","doi":null,"is_oa":true,"landing_page_url":"https://petit.lib.yamaguchi-u.ac.jp/23038","pdf_url":"https://petit.lib.yamaguchi-u.ac.jp/23038/files/155377","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Marine Geodesy","raw_type":"journal article"}],"best_oa_location":{"id":"pmh:oai:irdb.nii.ac.jp:00828:0000999286","doi":null,"is_oa":true,"landing_page_url":"https://petit.lib.yamaguchi-u.ac.jp/23038","pdf_url":"https://petit.lib.yamaguchi-u.ac.jp/23038/files/155377","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Marine Geodesy","raw_type":"journal article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G6353174474","display_name":"Estimation of shallow water depth using satellite imagery : generalization of estimation formula with increased number of bands","funder_award_id":"22860044","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320322832","display_name":"University of Tokyo","ror":"https://ror.org/057zh3y96"},{"id":"https://openalex.org/F4320332181","display_name":"National Oceanic and Atmospheric Administration","ror":"https://ror.org/02z5nhe81"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2004353397.pdf","grobid_xml":"https://content.openalex.org/works/W2004353397.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1554944419","https://openalex.org/W1561620354","https://openalex.org/W1998627176","https://openalex.org/W2000549868","https://openalex.org/W2014123121","https://openalex.org/W2060552827","https://openalex.org/W2061048205","https://openalex.org/W2062712708","https://openalex.org/W2067653716","https://openalex.org/W2068295856","https://openalex.org/W2077409924","https://openalex.org/W2091872874","https://openalex.org/W2101343526","https://openalex.org/W2105012295","https://openalex.org/W2108807256","https://openalex.org/W2125978400","https://openalex.org/W2129247319","https://openalex.org/W2138101720","https://openalex.org/W2160116837","https://openalex.org/W2168707907","https://openalex.org/W2169939759","https://openalex.org/W2171074980","https://openalex.org/W2787894218","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2000549868","https://openalex.org/W7208678619","https://openalex.org/W2324221682","https://openalex.org/W2147756115","https://openalex.org/W2328126843","https://openalex.org/W2905720760","https://openalex.org/W2332907720","https://openalex.org/W2984416328","https://openalex.org/W7214920175","https://openalex.org/W2897169993"],"abstract_inverted_index":{"Multispectral":[0],"satellite":[1],"remote":[2],"sensing":[3],"can":[4,71],"predict":[5],"shallow-water":[6],"depth":[7,82,88,93],"distribution":[8],"inexpensively":[9],"and":[10,47],"exhaustively,":[11],"but":[12],"it":[13],"requires":[14],"many":[15],"in":[16],"situ":[17],"measurements":[18],"for":[19,31],"calibration.":[20],"To":[21],"extend":[22],"its":[23],"feasibility,":[24],"we":[25],"improved":[26],"a":[27,37,49,53,59,62],"recently":[28],"developed":[29],"technique,":[30],"the":[32],"first":[33],"time,":[34],"to":[35],"obtain":[36],"generalized":[38],"predictor":[39,50,70],"of":[40,67],"depth.":[41,68],"We":[42],"used":[43,73],"six":[44],"WorldView-2":[45],"images":[46],"obtained":[48],"that":[51],"yielded":[52],"0.648":[54],"m":[55,64],"root-mean-square":[56],"error":[57],"against":[58],"dataset":[60],"with":[61,74,80,86],"5.544":[63],"standard":[65],"deviation":[66],"The":[69],"be":[72],"as":[75,77],"few":[76],"two":[78],"pixels":[79],"known":[81],"per":[83],"image,":[84],"or":[85],"no":[87],"data,":[89],"if":[90],"only":[91],"relative":[92],"is":[94],"needed.":[95]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}