{"id":"https://openalex.org/W2739697395","doi":"https://doi.org/10.3390/s17081746","title":"Assessment of Chlorophyll-a Algorithms Considering Different Trophic Statuses and Optimal Bands","display_name":"Assessment of Chlorophyll-a Algorithms Considering Different Trophic Statuses and Optimal Bands","publication_year":2017,"publication_date":"2017-07-31","ids":{"openalex":"https://openalex.org/W2739697395","doi":"https://doi.org/10.3390/s17081746","mag":"2739697395","pmid":"https://pubmed.ncbi.nlm.nih.gov/28758984"},"language":"en","primary_location":{"id":"doi:10.3390/s17081746","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17081746","pdf_url":"https://www.mdpi.com/1424-8220/17/8/1746/pdf?version=1501504892","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/17/8/1746/pdf?version=1501504892","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036698794","display_name":"Salem Ibrahim Salem","orcid":"https://orcid.org/0000-0001-7707-2684"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]},{"id":"https://openalex.org/I84524832","display_name":"Alexandria University","ror":"https://ror.org/00mzz1w90","country_code":"EG","type":"education","lineage":["https://openalex.org/I84524832"]}],"countries":["EG","JP"],"is_corresponding":true,"raw_author_name":"Salem Salem","raw_affiliation_strings":["Faculty of Engineering, Alexandria University, Lotfy El-Sied St. Off Gamal Abd El-Naser-Alexandria, Alexandria 11432, Egypt","Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan"],"raw_orcid":"https://orcid.org/0000-0001-7707-2684","affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Alexandria University, Lotfy El-Sied St. Off Gamal Abd El-Naser-Alexandria, Alexandria 11432, Egypt","institution_ids":["https://openalex.org/I84524832"]},{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013230969","display_name":"Hiroto HIGA","orcid":null},"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":"Hiroto Higa","raw_affiliation_strings":["Faculty of Urban Innovation, Yokohama National University, Tokiwadai 79-5, Hodogaya, Yokohama, Kanagawa 240-8501, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Urban Innovation, Yokohama National University, Tokiwadai 79-5, Hodogaya, Yokohama, Kanagawa 240-8501, Japan","institution_ids":["https://openalex.org/I180203408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090355006","display_name":"Hyungjun Kim","orcid":"https://orcid.org/0000-0003-1083-8416"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hyungjun Kim","raw_affiliation_strings":["Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan"],"raw_orcid":"https://orcid.org/0000-0003-1083-8416","affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015080137","display_name":"Hiroshi Kobayashi","orcid":"https://orcid.org/0000-0003-2613-2514"},"institutions":[{"id":"https://openalex.org/I44892455","display_name":"Takeda (Japan)","ror":"https://ror.org/04hjbmv12","country_code":"JP","type":"company","lineage":["https://openalex.org/I44892455"]},{"id":"https://openalex.org/I66906201","display_name":"University of Yamanashi","ror":"https://ror.org/059x21724","country_code":"JP","type":"education","lineage":["https://openalex.org/I66906201"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Kobayashi","raw_affiliation_strings":["Graduate School of Interdisciplinary Research, University of Yamanashi, 4-4-37 Takeda, Kofu, Yamanashi 400-8510, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Interdisciplinary Research, University of Yamanashi, 4-4-37 Takeda, Kofu, Yamanashi 400-8510, Japan","institution_ids":["https://openalex.org/I66906201","https://openalex.org/I44892455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110513474","display_name":"Kazuo Oki","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuo Oki","raw_affiliation_strings":["Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002339209","display_name":"Taikan Oki","orcid":"https://orcid.org/0000-0003-4067-4678"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taikan Oki","raw_affiliation_strings":["Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan"],"raw_orcid":"https://orcid.org/0000-0003-4067-4678","affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5036698794"],"corresponding_institution_ids":["https://openalex.org/I74801974","https://openalex.org/I84524832"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":3.046,"has_fulltext":true,"cited_by_count":43,"citation_normalized_percentile":{"value":0.90345971,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"17","issue":"8","first_page":"1746","last_page":"1746"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9955000281333923,"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"}},"topics":[{"id":"https://openalex.org/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9955000281333923,"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/T10032","display_name":"Marine and coastal ecosystems","score":0.9922000169754028,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.958299994468689,"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/algorithm","display_name":"Algorithm","score":0.7097526788711548},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6952533721923828},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6236070394515991},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5903668999671936},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.4798002541065216},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.47105666995048523},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.46730825304985046},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45583653450012207},{"id":"https://openalex.org/keywords/polynomial-regression","display_name":"Polynomial regression","score":0.4238434135913849},{"id":"https://openalex.org/keywords/chlorophyll-a","display_name":"Chlorophyll a","score":0.4172002971172333},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.41061273217201233},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38738295435905457},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3504776358604431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29688674211502075},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2156842052936554},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20963919162750244},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.09533819556236267}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7097526788711548},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6952533721923828},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6236070394515991},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5903668999671936},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4798002541065216},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.47105666995048523},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.46730825304985046},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45583653450012207},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.4238434135913849},{"id":"https://openalex.org/C2778902199","wikidata":"https://www.wikidata.org/wiki/Q133878","display_name":"Chlorophyll a","level":2,"score":0.4172002971172333},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.41061273217201233},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38738295435905457},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3504776358604431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29688674211502075},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2156842052936554},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20963919162750244},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.09533819556236267},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002138","descriptor_name":"Calibration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002138","descriptor_name":"Calibration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002138","descriptor_name":"Calibration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002734","descriptor_name":"Chlorophyll","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002734","descriptor_name":"Chlorophyll","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002734","descriptor_name":"Chlorophyll","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004784","descriptor_name":"Environmental Monitoring","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004784","descriptor_name":"Environmental Monitoring","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004784","descriptor_name":"Environmental Monitoring","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s17081746","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17081746","pdf_url":"https://www.mdpi.com/1424-8220/17/8/1746/pdf?version=1501504892","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:28758984","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28758984","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:8c2e20db786e4ccc9c82b74f46d3e9c8","is_oa":true,"landing_page_url":"https://doaj.org/article/8c2e20db786e4ccc9c82b74f46d3e9c8","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":"Sensors, Vol 17, Iss 8, p 1746 (2017)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/17/8/1746/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s17081746","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 17; Issue 8; Pages: 1746","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:5579528","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5579528","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s17081746","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17081746","pdf_url":"https://www.mdpi.com/1424-8220/17/8/1746/pdf?version=1501504892","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.7599999904632568}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"},{"id":"https://openalex.org/F4320334900","display_name":"Japan Aerospace Exploration Agency","ror":"https://ror.org/059yhyy33"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2739697395.pdf","grobid_xml":"https://content.openalex.org/works/W2739697395.grobid-xml"},"referenced_works_count":75,"referenced_works":["https://openalex.org/W1192200087","https://openalex.org/W1479999018","https://openalex.org/W1894357780","https://openalex.org/W1968355551","https://openalex.org/W1969753304","https://openalex.org/W1973860676","https://openalex.org/W1976554399","https://openalex.org/W1979449812","https://openalex.org/W1987084564","https://openalex.org/W1988886499","https://openalex.org/W1994305159","https://openalex.org/W1994689062","https://openalex.org/W1995811252","https://openalex.org/W1998860970","https://openalex.org/W2001213986","https://openalex.org/W2003966758","https://openalex.org/W2004311462","https://openalex.org/W2007101051","https://openalex.org/W2008941554","https://openalex.org/W2011935314","https://openalex.org/W2012116092","https://openalex.org/W2013305213","https://openalex.org/W2014473671","https://openalex.org/W2015268693","https://openalex.org/W2020972217","https://openalex.org/W2021063716","https://openalex.org/W2029887863","https://openalex.org/W2042983363","https://openalex.org/W2043223588","https://openalex.org/W2043728386","https://openalex.org/W2046138711","https://openalex.org/W2052031834","https://openalex.org/W2054972614","https://openalex.org/W2056003716","https://openalex.org/W2057859338","https://openalex.org/W2060780420","https://openalex.org/W2060862086","https://openalex.org/W2062100188","https://openalex.org/W2063012028","https://openalex.org/W2072927553","https://openalex.org/W2076719954","https://openalex.org/W2077973040","https://openalex.org/W2081405294","https://openalex.org/W2083183994","https://openalex.org/W2085246541","https://openalex.org/W2085965017","https://openalex.org/W2086117354","https://openalex.org/W2086302379","https://openalex.org/W2091660302","https://openalex.org/W2094825746","https://openalex.org/W2105456431","https://openalex.org/W2105900206","https://openalex.org/W2113381057","https://openalex.org/W2115992157","https://openalex.org/W2131713496","https://openalex.org/W2133196411","https://openalex.org/W2134568103","https://openalex.org/W2142821935","https://openalex.org/W2149876895","https://openalex.org/W2151460531","https://openalex.org/W2168956990","https://openalex.org/W2188300547","https://openalex.org/W2513884524","https://openalex.org/W2514527533","https://openalex.org/W2528117160","https://openalex.org/W2560246550","https://openalex.org/W2568359930","https://openalex.org/W2942580823","https://openalex.org/W2974579640","https://openalex.org/W4236580370","https://openalex.org/W6673293576","https://openalex.org/W6687158445","https://openalex.org/W6728069645","https://openalex.org/W6762512151","https://openalex.org/W6767860775"],"related_works":["https://openalex.org/W2022304901","https://openalex.org/W2018850895","https://openalex.org/W2988577871","https://openalex.org/W1987483041","https://openalex.org/W2084145074","https://openalex.org/W1978077614","https://openalex.org/W1982418987","https://openalex.org/W2160357252","https://openalex.org/W2603494857","https://openalex.org/W2024377932"],"abstract_inverted_index":{"Numerous":[0],"algorithms":[1,25,55,123,160,203,218,277,285,294],"have":[2],"been":[3],"proposed":[4],"to":[5,64,220,261],"retrieve":[6,222],"chlorophyll-a":[7,188],"concentrations":[8],"in":[9,49,204],"Case":[10],"2":[11],"waters;":[12],"however,":[13],"the":[14,66,94,102,114,119,129,134,143,180,197,216,240,263,266,269,276,280,297,302,307],"retrieval":[15,131,254,304],"accuracy":[16,132,251,305],"is":[17],"far":[18],"from":[19,138],"satisfactory.":[20],"In":[21,238],"this":[22],"research,":[23],"seven":[24],"are":[26,56,91],"assessed":[27],"with":[28,161],"different":[29],"band":[30,154,282,298],"combinations":[31,186,226],"of":[32,70,86,167,179,187,206,210,227,268],"multispectral":[33],"and":[34,43,61,68,96,108,150,153,172,190,199,212,229,235,255,271],"hyperspectral":[35],"bands":[36,152],"using":[37,59],"linear":[38,126],"(LN),":[39],"quadratic":[40],"polynomial":[41],"(QP)":[42],"power":[44],"(PW)":[45],"regression":[46,103,127],"approaches,":[47],"resulting":[48],"altogether":[50],"43":[51],"algorithmic":[52],"combinations.":[53],"These":[54],"evaluated":[57],"by":[58],"simulated":[60,74,115,135,139,272,308],"measured":[62,120,270,287],"datasets":[63,75,140,273],"understand":[65],"strengths":[67],"limitations":[69],"these":[71],"algorithms.":[72],"Two":[73],"comprising":[76],"500,000":[77],"reflectance":[78],"spectra":[79],"each,":[80],"both":[81],"based":[82],"on":[83,113,118],"wide":[84],"ranges":[85],"inherent":[87],"optical":[88],"properties":[89],"(IOPs),":[90],"generated":[92],"for":[93,133,184,224,232,252,286,306],"calibration":[95],"validation":[97],"stages.":[98],"Results":[99,137],"reveal":[100,141,274],"that":[101,124,142,147,196,244,256,275,278,295],"approach":[104,157,300],"(i.e.,":[105],"LN,":[106],"QP,":[107],"PW)":[109],"has":[110],"more":[111],"influence":[112],"dataset":[116,288,309],"than":[117],"one.":[121],"The":[122,176],"incorporated":[125],"provide":[128,249,301],"highest":[130,303],"dataset.":[136],"3-band":[144],"(3b)":[145],"algorithm":[146,247],"incorporate":[148,279,296],"665-nm":[149,281],"680-nm":[151],"tuning":[155,299],"selection":[156],"outperformed":[158],"other":[159,202,284],"root":[162],"mean":[163],"square":[164],"error":[165],"(RMSE)":[166],"15.87":[168],"mg\u00b7m\u22123,":[169,171,174],"16.25":[170],"19.05":[173],"respectively.":[175,214],"spatial":[177,241],"distribution":[178,242],"best":[181],"performing":[182],"algorithms,":[183],"various":[185],"(Chla)":[189],"non-algal":[191],"particles":[192],"(NAP)":[193],"concentrations,":[194],"show":[195],"3b_tuning_QP":[198],"3b_680_QP":[200],"outperform":[201,283],"terms":[205],"minimum":[207],"RMSE":[208],"frequency":[209],"33.19%":[211],"60.52%,":[213],"However,":[215],"two":[217],"failed":[219],"accurately":[221],"Chla":[223,228,234,253],"many":[225],"NAP,":[230],"particularly":[231],"low":[233],"NAP":[236],"concentrations.":[237],"addition,":[239],"emphasizes":[243],"no":[245],"single":[246],"can":[248],"outstanding":[250],"multi-algorithms":[257],"should":[258],"be":[259],"included":[260],"reduce":[262],"error.":[264],"Comparing":[265],"results":[267],"(RMSE":[289,310],"=":[290,311],"36.84":[291],"mg\u00b7m\u22123),":[292],"while":[293],"25.05":[312],"mg\u00b7m\u22123).":[313]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
