{"id":"https://openalex.org/W4303980739","doi":"https://doi.org/10.3390/rs14194906","title":"A Simple Procedure to Preprocess and Ingest Level-2 Ocean Color Data into Google Earth Engine","display_name":"A Simple Procedure to Preprocess and Ingest Level-2 Ocean Color Data into Google Earth Engine","publication_year":2022,"publication_date":"2022-09-30","ids":{"openalex":"https://openalex.org/W4303980739","doi":"https://doi.org/10.3390/rs14194906"},"language":"en","primary_location":{"id":"doi:10.3390/rs14194906","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14194906","pdf_url":"https://www.mdpi.com/2072-4292/14/19/4906/pdf?version=1665216961","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/19/4906/pdf?version=1665216961","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058144932","display_name":"El\u00edgio de R\u00e1us Ma\u00fare","orcid":"https://orcid.org/0000-0003-0505-3796"},"institutions":[{"id":"https://openalex.org/I1283339181","display_name":"Japan International Cooperation Agency","ror":"https://ror.org/022es3t03","country_code":"JP","type":"funder","lineage":["https://openalex.org/I1283339181"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"El\u00edgio de Ra\u00fas Ma\u00fare","raw_affiliation_strings":["Northwest Pacific Region Environmental Cooperation Center, Toyama 930-0856, Japan"],"affiliations":[{"raw_affiliation_string":"Northwest Pacific Region Environmental Cooperation Center, Toyama 930-0856, Japan","institution_ids":["https://openalex.org/I1283339181"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054452183","display_name":"Simon Ilyushchenko","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Simon Ilyushchenko","raw_affiliation_strings":["Google LLC, 1600 Amphitheater Parkway, Mountain View, CA 94043, USA"],"affiliations":[{"raw_affiliation_string":"Google LLC, 1600 Amphitheater Parkway, Mountain View, CA 94043, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036006231","display_name":"Genki Terauchi","orcid":"https://orcid.org/0000-0002-6595-8178"},"institutions":[{"id":"https://openalex.org/I1283339181","display_name":"Japan International Cooperation Agency","ror":"https://ror.org/022es3t03","country_code":"JP","type":"funder","lineage":["https://openalex.org/I1283339181"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Genki Terauchi","raw_affiliation_strings":["Northwest Pacific Region Environmental Cooperation Center, Toyama 930-0856, Japan"],"affiliations":[{"raw_affiliation_string":"Northwest Pacific Region Environmental Cooperation Center, Toyama 930-0856, Japan","institution_ids":["https://openalex.org/I1283339181"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058144932"],"corresponding_institution_ids":["https://openalex.org/I1283339181"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.7526,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.83019816,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"14","issue":"19","first_page":"4906","last_page":"4906"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10032","display_name":"Marine and coastal ecosystems","score":0.9884999990463257,"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":0.9884999990463257,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9244999885559082,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9154000282287598,"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/remote-sensing","display_name":"Remote sensing","score":0.664108157157898},{"id":"https://openalex.org/keywords/gee","display_name":"Gee","score":0.6607174873352051},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5956149697303772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5226007103919983},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.48692452907562256},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4601389467716217},{"id":"https://openalex.org/keywords/earth-observation","display_name":"Earth observation","score":0.44121095538139343},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3437075614929199},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1881411075592041},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.13666439056396484},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08357173204421997},{"id":"https://openalex.org/keywords/generalized-estimating-equation","display_name":"Generalized estimating equation","score":0.07782155275344849}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.664108157157898},{"id":"https://openalex.org/C53084192","wikidata":"https://www.wikidata.org/wiki/Q1485121","display_name":"Gee","level":3,"score":0.6607174873352051},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5956149697303772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5226007103919983},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.48692452907562256},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4601389467716217},{"id":"https://openalex.org/C39399123","wikidata":"https://www.wikidata.org/wiki/Q1348989","display_name":"Earth observation","level":3,"score":0.44121095538139343},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3437075614929199},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1881411075592041},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.13666439056396484},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08357173204421997},{"id":"https://openalex.org/C27403532","wikidata":"https://www.wikidata.org/wiki/Q5532474","display_name":"Generalized estimating equation","level":2,"score":0.07782155275344849},{"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":3,"locations":[{"id":"doi:10.3390/rs14194906","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14194906","pdf_url":"https://www.mdpi.com/2072-4292/14/19/4906/pdf?version=1665216961","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:87315dedc23c4bd3913f990f45e7d417","is_oa":true,"landing_page_url":"https://doaj.org/article/87315dedc23c4bd3913f990f45e7d417","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 19, p 4906 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/19/4906/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14194906","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":"Remote Sensing; Volume 14; Issue 19; Pages: 4906","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14194906","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14194906","pdf_url":"https://www.mdpi.com/2072-4292/14/19/4906/pdf?version=1665216961","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life below water","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4303980739.pdf","grobid_xml":"https://content.openalex.org/works/W4303980739.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1966199741","https://openalex.org/W1977142525","https://openalex.org/W1981213426","https://openalex.org/W2034946841","https://openalex.org/W2042737933","https://openalex.org/W2056913856","https://openalex.org/W2290326488","https://openalex.org/W2605367565","https://openalex.org/W2605456139","https://openalex.org/W2725897987","https://openalex.org/W2767036063","https://openalex.org/W2885406917","https://openalex.org/W2890225206","https://openalex.org/W2891186813","https://openalex.org/W2898355828","https://openalex.org/W2921701549","https://openalex.org/W2930598214","https://openalex.org/W2963959434","https://openalex.org/W2978468154","https://openalex.org/W3008228787","https://openalex.org/W3023058341","https://openalex.org/W3038008518","https://openalex.org/W3082766779","https://openalex.org/W3092103786","https://openalex.org/W3168920889","https://openalex.org/W3175802023","https://openalex.org/W3199143214","https://openalex.org/W3203391155","https://openalex.org/W3217608558","https://openalex.org/W4206346093","https://openalex.org/W4220878702","https://openalex.org/W4283155309","https://openalex.org/W4285011117"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4382706259","https://openalex.org/W3216953802","https://openalex.org/W2259148854","https://openalex.org/W4392977687","https://openalex.org/W2315880189","https://openalex.org/W2588341283","https://openalex.org/W1904448789","https://openalex.org/W1679591466"],"abstract_inverted_index":{"Data":[0,118],"from":[1],"ocean":[2],"color":[3],"(OC)":[4],"remote":[5,48],"sensing":[6,49],"are":[7,105],"considered":[8,24],"a":[9,43,71,137,191],"cost-effective":[10],"tool":[11,46],"for":[12,21,47,112],"the":[13,115,130,183],"study":[14,187],"of":[15,66],"biogeochemical":[16],"processes":[17],"globally.":[18],"Satellite-derived":[19],"chlorophyll,":[20],"instance,":[22],"is":[23,31,42,120,156,164],"an":[25,59],"essential":[26],"climate":[27,35],"variable":[28],"since":[29],"it":[30],"helpful":[32],"in":[33,70,107,114,129,182,202],"detecting":[34],"change":[36],"impacts.":[37],"Google":[38],"Earth":[39],"Engine":[40],"(GEE)":[41],"planetary":[44],"scale":[45,64],"data":[50,81,104,126,147,162,196],"analysis.":[51],"Along":[52],"with":[53],"OC":[54,80,125,146,159,195],"data,":[55,179],"such":[56],"tools":[57],"allow":[58],"unprecedented":[60],"spatial":[61,97],"and":[62,90,144,163,177],"temporal":[63],"analysis":[65],"water":[67],"quality":[68],"monitoring":[69],"way":[72],"that":[73],"has":[74],"never":[75],"been":[76,83],"done":[77],"before.":[78],"Although":[79],"have":[82],"routinely":[84],"collected":[85],"at":[86,93,150,197],"medium":[87],"(~1":[88],"km)":[89,103],"more":[91],"recently":[92],"higher":[94],"(~250":[95],"m)":[96],"resolution,":[98],"only":[99],"coarse":[100],"resolution":[101,199],"(\u22654":[102],"available":[106,128,201],"GEE,":[108],"making":[109,124,194],"them":[110],"unattractive":[111],"applications":[113],"coastal":[116],"regions.":[117],"reprojection":[119],"needed":[121],"prior":[122],"to":[123,142,158,167,189],"readily":[127,200],"GEE.":[131,203],"In":[132],"this":[133],"paper,":[134],"we":[135],"introduce":[136],"simple":[138],"but":[139],"practical":[140],"procedure":[141,155],"reproject":[143],"ingest":[145],"into":[148],"GEE":[149],"their":[151],"native":[152,198],"resolution.":[153],"The":[154,170,186],"applicable":[157],"swath":[160,176],"(Level-2)":[161],"easily":[165],"adaptable":[166],"higher-level":[168],"products.":[169],"results":[171],"showed":[172],"consistent":[173],"distributions":[174],"between":[175],"reprojected":[178],"building":[180],"confidence":[181],"introduced":[184],"framework.":[185],"aims":[188],"start":[190],"discussion":[192],"on":[193]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2022-10-10T00:00:00"}