{"id":"https://openalex.org/W2101900196","doi":"https://doi.org/10.1109/tgrs.2013.2240462","title":"Bio-Optical Inversion in Highly Turbid and Cyanobacteria-Dominated Waters","display_name":"Bio-Optical Inversion in Highly Turbid and Cyanobacteria-Dominated Waters","publication_year":2013,"publication_date":"2013-03-13","ids":{"openalex":"https://openalex.org/W2101900196","doi":"https://doi.org/10.1109/tgrs.2013.2240462","mag":"2101900196"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2013.2240462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2013.2240462","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5076050369","display_name":"Sachidananda Mishra","orcid":"https://orcid.org/0000-0001-6613-3103"},"institutions":[{"id":"https://openalex.org/I4210121637","display_name":"Edison Agrosciences (United States)","ror":"https://ror.org/02nrkmk47","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121637"]},{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sachidananda Mishra","raw_affiliation_strings":["Department of Geosciences, Mississippi State University, Mississippi State, MS, USA","Dow AgroSciences LLC, Indianapolis IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geosciences, Mississippi State University, Mississippi State, MS, USA","institution_ids":["https://openalex.org/I99041443"]},{"raw_affiliation_string":"Dow AgroSciences LLC, Indianapolis IN, USA","institution_ids":["https://openalex.org/I4210121637"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048372527","display_name":"Deepak R. Mishra","orcid":"https://orcid.org/0000-0001-8192-7681"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deepak R. Mishra","raw_affiliation_strings":["Department of Geography, University of Georgia, Athens, GA, USA","Dept. of Geogr., Univ. of Georgia, Athens, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography, University of Georgia, Athens, GA, USA","institution_ids":["https://openalex.org/I165733156"]},{"raw_affiliation_string":"Dept. of Geogr., Univ. of Georgia, Athens, GA, USA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027844391","display_name":"Zhongping Lee","orcid":"https://orcid.org/0000-0001-5477-8991"},"institutions":[{"id":"https://openalex.org/I33434090","display_name":"University of Massachusetts Boston","ror":"https://ror.org/04ydmy275","country_code":"US","type":"education","lineage":["https://openalex.org/I33434090"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"ZhongPing Lee","raw_affiliation_strings":["Department of Environmental, Earth, and Ocean Sciences, University of Massachusetts Boston, Boston, MA, USA","Dept. of Environ., Earth & Ocean Sci., Univ. of Massachusetts Boston, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Environmental, Earth, and Ocean Sciences, University of Massachusetts Boston, Boston, MA, USA","institution_ids":["https://openalex.org/I33434090"]},{"raw_affiliation_string":"Dept. of Environ., Earth & Ocean Sci., Univ. of Massachusetts Boston, Boston, MA, USA","institution_ids":["https://openalex.org/I33434090"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7044,"has_fulltext":false,"cited_by_count":82,"citation_normalized_percentile":{"value":0.8888131,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"52","issue":"1","first_page":"375","last_page":"388"},"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/T10236","display_name":"Aquatic Ecosystems and Phytoplankton Dynamics","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/2304","display_name":"Environmental Chemistry"},"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":0.9829000234603882,"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/phytoplankton","display_name":"Phytoplankton","score":0.632091224193573},{"id":"https://openalex.org/keywords/cyanobacteria","display_name":"Cyanobacteria","score":0.543998122215271},{"id":"https://openalex.org/keywords/absorption","display_name":"Absorption (acoustics)","score":0.4775061011314392},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.42626330256462097},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4187981188297272},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32805079221725464},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2873073220252991},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2685707211494446},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.22869586944580078},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18505337834358215},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.16336864233016968},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.15805792808532715},{"id":"https://openalex.org/keywords/nutrient","display_name":"Nutrient","score":0.10812607407569885}],"concepts":[{"id":"https://openalex.org/C2780892065","wikidata":"https://www.wikidata.org/wiki/Q184755","display_name":"Phytoplankton","level":3,"score":0.632091224193573},{"id":"https://openalex.org/C2779669040","wikidata":"https://www.wikidata.org/wiki/Q93315","display_name":"Cyanobacteria","level":3,"score":0.543998122215271},{"id":"https://openalex.org/C125287762","wikidata":"https://www.wikidata.org/wiki/Q1758948","display_name":"Absorption (acoustics)","level":2,"score":0.4775061011314392},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.42626330256462097},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4187981188297272},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32805079221725464},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2873073220252991},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2685707211494446},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.22869586944580078},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18505337834358215},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.16336864233016968},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.15805792808532715},{"id":"https://openalex.org/C142796444","wikidata":"https://www.wikidata.org/wiki/Q181394","display_name":"Nutrient","level":2,"score":0.10812607407569885},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C523546767","wikidata":"https://www.wikidata.org/wiki/Q10876","display_name":"Bacteria","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2013.2240462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2013.2240462","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W207018864","https://openalex.org/W339356786","https://openalex.org/W578941728","https://openalex.org/W1966197059","https://openalex.org/W1968703794","https://openalex.org/W1969753304","https://openalex.org/W1973755634","https://openalex.org/W1988886499","https://openalex.org/W1990821025","https://openalex.org/W1991776426","https://openalex.org/W1995811252","https://openalex.org/W1997486557","https://openalex.org/W2000748235","https://openalex.org/W2007101051","https://openalex.org/W2013983793","https://openalex.org/W2015316493","https://openalex.org/W2017370637","https://openalex.org/W2020794769","https://openalex.org/W2027294099","https://openalex.org/W2028755967","https://openalex.org/W2029010187","https://openalex.org/W2038908142","https://openalex.org/W2043223588","https://openalex.org/W2051223051","https://openalex.org/W2054842853","https://openalex.org/W2061522318","https://openalex.org/W2061792942","https://openalex.org/W2072054148","https://openalex.org/W2074665854","https://openalex.org/W2081534347","https://openalex.org/W2081816269","https://openalex.org/W2086302379","https://openalex.org/W2091660302","https://openalex.org/W2102776257","https://openalex.org/W2103348345","https://openalex.org/W2108509174","https://openalex.org/W2108686678","https://openalex.org/W2113381057","https://openalex.org/W2124119921","https://openalex.org/W2132388458","https://openalex.org/W2134293411","https://openalex.org/W2136668140","https://openalex.org/W2143524088","https://openalex.org/W2150412191","https://openalex.org/W2153619838","https://openalex.org/W2167705142","https://openalex.org/W2183171587","https://openalex.org/W2498145320"],"related_works":["https://openalex.org/W2625599154","https://openalex.org/W2028665699","https://openalex.org/W2360503681","https://openalex.org/W3150559681","https://openalex.org/W2727882364","https://openalex.org/W4318218371","https://openalex.org/W59553550","https://openalex.org/W2515150038","https://openalex.org/W2018570418","https://openalex.org/W2314303387"],"abstract_inverted_index":{"Phytoplankton":[0],"pigment":[1,29],"absorption":[2,30,92,106,152,192,258],"data":[3,71,123],"from":[4,37,77,157,200,266],"algal-bloom-dominated":[5],"waters":[6],"are":[7],"highly":[8,84],"desirable":[9],"to":[10,72,160,203,250],"better":[11],"understand":[12],"the":[13,52,56,90,104,127,144,149,167,186,190,207,211,237,284,296,306],"primary":[14],"productivity":[15],"and":[16,34,166,175,181,210],"carbon":[17],"uptake":[18],"by":[19,125],"algal":[20],"biomass":[21],"in":[22,32,69,83,132,143,145,305],"a":[23,62,194,222,239,260,288,300],"regional":[24],"scale.":[25],"However,":[26],"retrieving":[27],"phytoplankton":[28,91,191],"coefficients,":[31],"turbid":[33,85],"hypereutrophic":[35],"waters,":[36],"above-surface":[38],"remote":[39,268],"sensing":[40,269],"reflectance":[41,270],"(R":[42,230],"<sub":[43,79,195,223,240,261,272,289,301],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[44,80,97,113,196,224,232,241,262,273,290,302],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">rs</sub>":[45,81,274],")":[46,99],"is":[47],"often":[48],"challenging":[49],"because":[50],"of":[51,55,103,148,220,254,287,299],"optical":[53,75,129],"complexity":[54],"water":[57],"body.":[58],"In":[59],"this":[60],"paper,":[61],"quasi-analytical":[63],"algorithm":[64],"has":[65],"been":[66],"parameterized":[67],"using":[68,120,277],"situ":[70,133,146],"retrieve":[73,251],"inherent":[74],"properties":[76],"R":[78],"(\u03bb)":[82,198,226,292,304],"productive":[86],"aquaculture":[87],"ponds,":[88],"where":[89],"coefficient":[93,153,193],"(3.44-37.67":[94],"m":[95,111],"<sup":[96,112,231],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">-1</sup>":[98,114],"contributes":[100],"54":[101],"%":[102,159,162,202,205],"total":[105,151],"at":[107,179],"443":[108,180],"nm":[109],"(4.99-47.21":[110],").":[115],"The":[116,136,217],"model":[117],"was":[118,171,214,247],"validated":[119],"an":[121,278],"independent":[122],"set":[124],"comparing":[126],"model-derived":[128],"parameters":[130],"with":[131,236],"measured":[134,238],"values.":[135],"absolute":[137],"percentage":[138,187],"error":[139,142,170,188,213],"(assuming":[140],"no":[141],"measurements)":[147],"estimated":[150],"at(":[154],"\u03bb)":[155,265,276],"varied":[156,199],"15.22":[158],"24.13":[161],"within":[163,206],"413-665":[164],"nm,":[165,183],"overall":[168],"average":[169,212],"19.87":[172],"%.":[173,216],"Maximum":[174],"minimum":[176],"errors":[177],"occurred":[178],"665":[182],"respectively.":[184],"Similarly,":[185],"for":[189],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u03c6</sub>":[197,225,242,291],"15.9":[201],"41.27":[204],"413-665-nm":[208],"range,":[209],"27.24":[215],"spectral":[218],"shape":[219],"modeled":[221],"matched":[227],"very":[228],"well":[229],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[233],"=":[234],"0.97)":[235],"(\u03bb).":[243],"A":[244],"supplementary":[245],"method":[246],"also":[248],"developed":[249],"first-order":[252,297],"estimates":[253,298],"colored":[255],"detrital":[256],"matter":[257],"coefficients":[259],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">CDM</sub>":[263,303],"(":[264,275],"subsurface":[267],"r":[271],"empirical":[279],"approach.":[280],"Results":[281],"reveal":[282],"that":[283],"retrieval":[285],"accuracy":[286],"improved":[293],"after":[294],"incorporating":[295],"algorithm.":[307]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
