{"id":"https://openalex.org/W4387801976","doi":"https://doi.org/10.1109/igarss52108.2023.10282264","title":"Deep Learning-Based Estimation of Phytoplankton Pigments Distribution from Satellite Remote Sensing","display_name":"Deep Learning-Based Estimation of Phytoplankton Pigments Distribution from Satellite Remote Sensing","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387801976","doi":"https://doi.org/10.1109/igarss52108.2023.10282264"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10282264","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10282264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 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/A5090298893","display_name":"Yi Yang","orcid":"https://orcid.org/0000-0002-0679-7255"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210101167","display_name":"Institute of Oceanology","ror":"https://ror.org/018yw5541","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210101167"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Yang","raw_affiliation_strings":["Chinese Academy of Sciences and Center for Ocean Mega-Science, Chinese Academy of Sciences,CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology,Qingdao,China","CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences and Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China","College of Marine Sciences, University of Chinese Academy of Science, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences and Center for Ocean Mega-Science, Chinese Academy of Sciences,CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology,Qingdao,China","institution_ids":["https://openalex.org/I4210101167"]},{"raw_affiliation_string":"CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences and Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China","institution_ids":["https://openalex.org/I4210101167","https://openalex.org/I19820366"]},{"raw_affiliation_string":"College of Marine Sciences, University of Chinese Academy of Science, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106620138","display_name":"Xiaolong Li","orcid":"https://orcid.org/0000-0003-1984-752X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210101167","display_name":"Institute of Oceanology","ror":"https://ror.org/018yw5541","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210101167"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Li","raw_affiliation_strings":["Chinese Academy of Sciences and Center for Ocean Mega-Science, Chinese Academy of Sciences,CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology,Qingdao,China","CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences and Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences and Center for Ocean Mega-Science, Chinese Academy of Sciences,CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology,Qingdao,China","institution_ids":["https://openalex.org/I4210101167"]},{"raw_affiliation_string":"CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences and Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China","institution_ids":["https://openalex.org/I4210101167","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100347672","display_name":"Xiaofeng Li","orcid":"https://orcid.org/0000-0001-7038-5119"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210101167","display_name":"Institute of Oceanology","ror":"https://ror.org/018yw5541","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210101167"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Li","raw_affiliation_strings":["Chinese Academy of Sciences and Center for Ocean Mega-Science, Chinese Academy of Sciences,CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology,Qingdao,China","CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences and Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences and Center for Ocean Mega-Science, Chinese Academy of Sciences,CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology,Qingdao,China","institution_ids":["https://openalex.org/I4210101167"]},{"raw_affiliation_string":"CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences and Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China","institution_ids":["https://openalex.org/I4210101167","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5309","last_page":"5311"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10032","display_name":"Marine and coastal ecosystems","score":0.9812999963760376,"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"}},"topics":[{"id":"https://openalex.org/T10032","display_name":"Marine and coastal ecosystems","score":0.9812999963760376,"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/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9746999740600586,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing 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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9199000000953674,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/phytoplankton","display_name":"Phytoplankton","score":0.8155632019042969},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.6887375116348267},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5764397382736206},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5617659091949463},{"id":"https://openalex.org/keywords/ocean-color","display_name":"Ocean color","score":0.46772849559783936},{"id":"https://openalex.org/keywords/chlorophyll-a","display_name":"Chlorophyll a","score":0.43587854504585266},{"id":"https://openalex.org/keywords/oceanography","display_name":"Oceanography","score":0.4304877519607544},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.42781150341033936},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42683130502700806},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42461514472961426},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.24177232384681702},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23370960354804993},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18833738565444946},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.13665837049484253},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07117760181427002}],"concepts":[{"id":"https://openalex.org/C2780892065","wikidata":"https://www.wikidata.org/wiki/Q184755","display_name":"Phytoplankton","level":3,"score":0.8155632019042969},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.6887375116348267},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5764397382736206},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5617659091949463},{"id":"https://openalex.org/C2776939893","wikidata":"https://www.wikidata.org/wiki/Q7076134","display_name":"Ocean color","level":3,"score":0.46772849559783936},{"id":"https://openalex.org/C2778902199","wikidata":"https://www.wikidata.org/wiki/Q133878","display_name":"Chlorophyll a","level":2,"score":0.43587854504585266},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.4304877519607544},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.42781150341033936},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42683130502700806},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42461514472961426},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.24177232384681702},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23370960354804993},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18833738565444946},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.13665837049484253},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07117760181427002},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C142796444","wikidata":"https://www.wikidata.org/wiki/Q181394","display_name":"Nutrient","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10282264","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10282264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.8899999856948853,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1063495705","https://openalex.org/W2001303551","https://openalex.org/W2589592374","https://openalex.org/W2914377344","https://openalex.org/W2962851944","https://openalex.org/W3011560410","https://openalex.org/W3042493930","https://openalex.org/W3045569511","https://openalex.org/W3120014374","https://openalex.org/W4377090605","https://openalex.org/W6685133223"],"related_works":["https://openalex.org/W2727882364","https://openalex.org/W2515150038","https://openalex.org/W2018570418","https://openalex.org/W2314303387","https://openalex.org/W2384073316","https://openalex.org/W4231309012","https://openalex.org/W2106775111","https://openalex.org/W2557982320","https://openalex.org/W2049167280","https://openalex.org/W1992021183"],"abstract_inverted_index":{"A":[0],"novel":[1],"deep":[2,134],"learning":[3,135],"approach":[4],"based":[5],"on":[6,87],"self-attention":[7],"was":[8,73,96,122],"developed":[9],"to":[10,75,98,124],"estimate":[11],"global":[12,100],"pigment":[13,108],"profiles":[14,102],"in":[15,60,137],"the":[16,43,52,77,88,106,112,131],"ocean":[17],"using":[18],"a":[19,85],"comprehensive":[20],"dataset":[21],"of":[22,54,103,114,133],"HPLC":[23],"measurements.":[24],"The":[25,93],"model":[26,95],"successfully":[27],"handled":[28],"time-series":[29],"satellite":[30,56],"data":[31,57],"even":[32],"when":[33],"some":[34],"values":[35],"were":[36,49],"missing,":[37],"providing":[38],"accurate":[39],"estimations.":[40],"By":[41],"analyzing":[42],"model's":[44],"gradients,":[45],"visual":[46],"attention":[47],"results":[48],"obtained,":[50],"revealing":[51],"significance":[53],"different":[55,120],"or":[58],"products":[59],"estimating":[61,82],"phytoplankton":[62,115,126],"pigments":[63],"across":[64],"various":[65],"regions":[66],"and":[67,91],"depths.":[68],"Remote":[69],"sensing":[70],"reflectance":[71],"(Rrs)":[72],"found":[74],"be":[76],"most":[78],"important":[79],"parameter":[80],"for":[81],"total":[83],"chlorophyll":[84],"(Tchla)":[86],"ocean's":[89],"surface":[90],"subsurface.":[92],"trained":[94],"employed":[97],"generate":[99],"concentration":[101],"pigments.":[104],"Using":[105],"diagnostic":[107],"analysis":[109],"(DPA)":[110],"method,":[111],"distribution":[113],"size":[116],"classes":[117],"(PSCs)":[118],"at":[119],"depths":[121],"calculated":[123],"analyze":[125],"communities.":[127],"This":[128],"research":[129],"highlights":[130],"potential":[132],"methods":[136],"advancing":[138],"marine":[139],"ecology":[140],"studies.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}