{"id":"https://openalex.org/W3129526655","doi":"https://doi.org/10.1109/igarss39084.2020.9323304","title":"Ocean Color Modeling in the Central Red Sea Using Oceanographical Observation and Simulated Parameters","display_name":"Ocean Color Modeling in the Central Red Sea Using Oceanographical Observation and Simulated Parameters","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3129526655","doi":"https://doi.org/10.1109/igarss39084.2020.9323304","mag":"3129526655"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9323304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","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/A5101962205","display_name":"Wenzhao Li","orcid":"https://orcid.org/0000-0003-4366-4985"},"institutions":[{"id":"https://openalex.org/I185071736","display_name":"Chapman University","ror":"https://ror.org/0452jzg20","country_code":"US","type":"education","lineage":["https://openalex.org/I185071736"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wenzhao Li","raw_affiliation_strings":["Schmid College of Science and Technology, Chapman University, Orange, CA, USA"],"affiliations":[{"raw_affiliation_string":"Schmid College of Science and Technology, Chapman University, Orange, CA, USA","institution_ids":["https://openalex.org/I185071736"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082735001","display_name":"Surya Prakash Tiwari","orcid":"https://orcid.org/0000-0002-8574-3959"},"institutions":[{"id":"https://openalex.org/I134085113","display_name":"King Fahd University of Petroleum and Minerals","ror":"https://ror.org/03yez3163","country_code":"SA","type":"education","lineage":["https://openalex.org/I134085113"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Surya P. Tiwari","raw_affiliation_strings":["Center for Environment and Water, The Research Institute, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Kingdom of Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Center for Environment and Water, The Research Institute, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Kingdom of Saudi Arabia","institution_ids":["https://openalex.org/I134085113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050282879","display_name":"Karuppasamy P. Manikandan","orcid":"https://orcid.org/0000-0003-4975-3938"},"institutions":[{"id":"https://openalex.org/I134085113","display_name":"King Fahd University of Petroleum and Minerals","ror":"https://ror.org/03yez3163","country_code":"SA","type":"education","lineage":["https://openalex.org/I134085113"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"K. P. ManiKandan","raw_affiliation_strings":["Center for Environment and Water, The Research Institute, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Kingdom of Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Center for Environment and Water, The Research Institute, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Kingdom of Saudi Arabia","institution_ids":["https://openalex.org/I134085113"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049078582","display_name":"Hesham El\u2010Askary","orcid":"https://orcid.org/0000-0002-9876-3705"},"institutions":[{"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"],"is_corresponding":false,"raw_author_name":"Hesham El-Askary","raw_affiliation_strings":["Faculty of Science, Alexandria University, Moharem Bek, Alexandria, Egypt"],"affiliations":[{"raw_affiliation_string":"Faculty of Science, Alexandria University, Moharem Bek, Alexandria, Egypt","institution_ids":["https://openalex.org/I84524832"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101962205"],"corresponding_institution_ids":["https://openalex.org/I185071736"],"apc_list":null,"apc_paid":null,"fwci":0.185,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59496197,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"5620","last_page":"5623"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10032","display_name":"Marine and coastal ecosystems","score":0.9983000159263611,"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":0.9983000159263611,"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/T10255","display_name":"Oceanographic and Atmospheric Processes","score":0.9940000176429749,"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/T10230","display_name":"Marine and fisheries research","score":0.9919999837875366,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6049066185951233},{"id":"https://openalex.org/keywords/algal-bloom","display_name":"Algal bloom","score":0.5846285820007324},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5656213760375977},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5263746380805969},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.5166628360748291},{"id":"https://openalex.org/keywords/phytoplankton","display_name":"Phytoplankton","score":0.5063356161117554},{"id":"https://openalex.org/keywords/ocean-color","display_name":"Ocean color","score":0.4905375838279724},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4526110589504242},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.44188421964645386},{"id":"https://openalex.org/keywords/spring-bloom","display_name":"Spring bloom","score":0.424269437789917},{"id":"https://openalex.org/keywords/sea-surface-temperature","display_name":"Sea surface temperature","score":0.4190386235713959},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3567742109298706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3545899987220764},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3284223675727844},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32521870732307434},{"id":"https://openalex.org/keywords/oceanography","display_name":"Oceanography","score":0.31852513551712036},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18864473700523376},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.13526061177253723},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12690669298171997}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6049066185951233},{"id":"https://openalex.org/C120305227","wikidata":"https://www.wikidata.org/wiki/Q326139","display_name":"Algal bloom","level":4,"score":0.5846285820007324},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5656213760375977},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5263746380805969},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.5166628360748291},{"id":"https://openalex.org/C2780892065","wikidata":"https://www.wikidata.org/wiki/Q184755","display_name":"Phytoplankton","level":3,"score":0.5063356161117554},{"id":"https://openalex.org/C2776939893","wikidata":"https://www.wikidata.org/wiki/Q7076134","display_name":"Ocean color","level":3,"score":0.4905375838279724},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4526110589504242},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.44188421964645386},{"id":"https://openalex.org/C97832226","wikidata":"https://www.wikidata.org/wiki/Q7580762","display_name":"Spring bloom","level":4,"score":0.424269437789917},{"id":"https://openalex.org/C134097258","wikidata":"https://www.wikidata.org/wiki/Q1507383","display_name":"Sea surface temperature","level":2,"score":0.4190386235713959},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3567742109298706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3545899987220764},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3284223675727844},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32521870732307434},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.31852513551712036},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18864473700523376},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.13526061177253723},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12690669298171997},{"id":"https://openalex.org/C142796444","wikidata":"https://www.wikidata.org/wiki/Q181394","display_name":"Nutrient","level":2,"score":0.0},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9323304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1968917920","https://openalex.org/W1998342699","https://openalex.org/W2017354426","https://openalex.org/W2019755650","https://openalex.org/W2029818074","https://openalex.org/W2069086849","https://openalex.org/W2075508276","https://openalex.org/W2570138886","https://openalex.org/W2574255753","https://openalex.org/W2605980718","https://openalex.org/W2739622733","https://openalex.org/W2786932587","https://openalex.org/W2800085521"],"related_works":["https://openalex.org/W4322020399","https://openalex.org/W2104149816","https://openalex.org/W2022562821","https://openalex.org/W3039983020","https://openalex.org/W2090630485","https://openalex.org/W2563946634","https://openalex.org/W1979660498","https://openalex.org/W2163178565","https://openalex.org/W2150974325","https://openalex.org/W2048388447"],"abstract_inverted_index":{"The":[0,130],"summer":[1],"phytoplankton":[2,191],"bloom":[3,51],"events":[4,33,52],"have":[5],"been":[6],"recently":[7],"investigated":[8],"using":[9],"remote":[10],"sensing":[11],"observations":[12],"over":[13],"several":[14],"geographical":[15],"areas":[16],"of":[17,25,57,153,159],"the":[18,42,49,54,58,63,68,74,93,154,160,167,186,194],"Red":[19,59,195],"Sea":[20],"and":[21,76,107,123,136,156],"changed":[22],"our":[23],"impression":[24],"its":[26],"oligotrophic":[27],"characteristic.":[28],"However,":[29],"only":[30],"limited":[31],"blooms":[32],"were":[34],"recorded":[35],"due":[36],"to":[37,88,170,176,189],"active":[38,83],"dust":[39],"storms":[40],"limiting":[41],"observations.":[43],"This":[44,164],"work":[45,165],"focuses":[46],"on":[47],"predicting":[48],"potential":[50,168],"in":[53,92,128,142,146,193],"central":[55],"region":[56],"Sea,":[60],"indicated":[61],"by":[62],"chlorophyll-":[64],"a":[65,172],"values,":[66],"through":[67],"machine":[69,173],"learning":[70,174],"models":[71,115,122,132],"built":[72],"from":[73],"simulated":[75],"observed":[77],"oceanographical":[78,187],"parameters.":[79],"Four":[80],"subregions":[81],"showing":[82,143],"eddy":[84],"activities":[85],"are":[86,109],"selected":[87],"generate":[89],"modeling":[90],"datasets":[91],"Case-1":[94],"waters":[95],"(water":[96],"depth":[97],">":[98],"300":[99],"meters)":[100],"for":[101],"each":[102],"region.":[103],"Automated":[104],"model":[105,175],"selection":[106],"tuning":[108],"performed":[110],"among":[111],"different":[112],"candidate":[113],"supervised":[114],"including":[116],"linear":[117],"regression,":[118],"trees":[119],"models,":[120],"ensemble":[121,131],"deep":[124],"neural":[125],"networks":[126],"(101":[127],"total).":[129],"(random":[133],"decision":[134,138],"forest":[135],"bootstrap":[137],"forest)":[139],"outperform":[140],"others":[141],"effective":[144],"performance":[145],"estimating":[147],"chlorophyll-a":[148],"values":[149],"with":[150],"(":[151,157],")":[152,158],"training":[155],"testing":[161],"processes,":[162],"respectively.":[163],"shows":[166],"applications":[169],"use":[171],"reconstruct":[177],"missing":[178],"ocean":[179],"color":[180],"observations,":[181],"as":[182,184],"well":[183],"revealing":[185],"mechanism":[188],"induce":[190],"growth":[192],"Sea.":[196]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}