{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T13:14:09Z","timestamp":1778591649370,"version":"3.51.4"},"reference-count":78,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2020,8,26]],"date-time":"2020-08-26T00:00:00Z","timestamp":1598400000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"The Program for JLU Science and Technology Innovative Research Team","award":["JLUSTIRT, 2017TD-26"],"award-info":[{"award-number":["JLUSTIRT, 2017TD-26"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Chlorophyll-a (Chl-a) concentration retrieval is essential for water quality monitoring, aquaculture, and guiding coastline infrastructure construction. Compared with common ocean color satellites, land observation satellites have the advantage of a higher resolution and more data sources for retrieving the concentration of Chl-a from optically shallow waters. However, the sun glint (Rsg), bottom reflectance (Rb), and non-algal particle (NAP) derived from terrigenous matter affect the accuracy of Chl-a concentration retrieval using land observation satellite image data. In this paper, we propose a semi-empirical algorithm based on the remote sensing reflectance (Rrs) of SPOT6 to retrieve the Chl-a concentration in Sanya Bay (SYB), considering the effect of Rsg, Rb, and NAP. In this semi-empirical algorithm, the Cox\u2013Munk anisotropic model and radiative transfer model (RTM) were used to reduce the effects of Rsg and Rb on Rrs, and the Chl-a concentration was retrieved by the Chl-a absorption coefficient at 490 nm (aphy(490)) to remove the effect of NAP. The semi-empirical algorithm was in the form of Chl-a = 43.3[aphy(490)]1.454, where aphy (490) was calculated by the total absorption coefficient and the absorption coefficients of each component by empirical algorithms. The results of the Chl-a concentration retrieval show the following: (1) SPOT6 data are available for Chl-a retrieval using this semi-empirical algorithm in oligotrophic or mesotrophic coastal waters, and the accuracy of the algorithm can be improved by removing the effects of Rsg, Rb, and NAP (R2 from 0.71 to 0.93 and root mean square error (RMSE) from 0.23 to 0.11 ug\/L); (2) empirical algorithms based on the blue-green band are suitable for oligotrophic or mesotrophic coastal waters, and the algorithm based on the blue-green band difference Chl-a index (DCI) has stronger anti-interference in terms of the effects of sun glint and bottom reflectance than the algorithm based on the blue-green ratio (BGr); (3) in the case of ignoring Rsg unrelated to inherent optical properties (IOPs), NAP is the biggest interference factor when &gt;9.5 mg\/L and the effect of bottom reflectance should be considered when the water depth (H) &lt;5 m in SYB; and (4) the inherent optical properties of the waters in SYB are dominated by NAP (Chl-a = 0.2\u20132.6 ug\/L and NAP = 2.2\u201330.1 mg\/L), and the nutrients are concentrated by enclosed terrain and southeast current. This semi-empirical algorithm for Chl-a concentration retrieval has the potential to monitor Chl-a in oligotrophic and mesotrophic coastal waters using other land observation satellites (e.g., Landsat8 OLI, ASTER, and GaoFen2).<\/jats:p>","DOI":"10.3390\/rs12172765","type":"journal-article","created":{"date-parts":[[2020,8,26]],"date-time":"2020-08-26T09:05:37Z","timestamp":1598432737000},"page":"2765","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["A Semi-Empirical Chlorophyll-a Retrieval Algorithm Considering the Effects of Sun Glint, Bottom Reflectance, and Non-Algal Particles in the Optically Shallow Water Zones of Sanya Bay Using SPOT6 Data"],"prefix":"10.3390","volume":"12","author":[{"given":"Yan","family":"Yu","sequence":"first","affiliation":[{"name":"College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shengbo","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenhan","family":"Qin","sequence":"additional","affiliation":[{"name":"College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7807-3942","authenticated-orcid":false,"given":"Tianqi","family":"Lu","sequence":"additional","affiliation":[{"name":"Guangzhou Marine Geological Survey, China Geological Survey, Guangzhou 510075, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Li","sequence":"additional","affiliation":[{"name":"College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yijing","family":"Cao","sequence":"additional","affiliation":[{"name":"College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,8,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1177\/0956247807076960","article-title":"The Rising Tide: Assessing the Risks of Climate Change and Human Settlements in Low Elevation Coastal Zones","volume":"19","author":"Mcgranahan","year":"2007","journal-title":"Environ. Urban."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1016\/j.pocean.2013.12.008","article-title":"A Review of Ocean Color Remote Sensing Methods and Statistical Techniques for the Detection, Mapping and Analysis of Phytoplankton Blooms in Coastal and Open Oceans","volume":"123","author":"Gower","year":"2014","journal-title":"Prog. Oceanogr."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Zhang, Y.Z., and Hou, Y.J. (2018). Coastal Disasters and Remote Sensing Monitoring Methods. Sea Level Rise and Coastal Infrastructure, IntechOpen. [1st ed.].","DOI":"10.5772\/intechopen.77193"},{"key":"ref_4","first-page":"114","article-title":"Remote Assessment of Ocean Color for Interpretation of Satellite Visible Imagery","volume":"Volume 4","author":"Gordon","year":"1983","journal-title":"A Review Lecture Notes on Coastal and Estuarine Studies"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"10749","DOI":"10.1029\/JC093iC09p10749","article-title":"Optical Modeling of the Upper Ocean in Relation to its Biogenous Matter Content (Case-1 Waters)","volume":"93","author":"Morel","year":"1988","journal-title":"J. Geophys. Res. Oceans"},{"key":"ref_6","unstructured":"Aiken, J., Moore, G.F., Trees, C.C., Hook, S.B., and Clark, D.K. (1995). The SeaWiFS CZCS-type pigment algorithm, SeaWiFS Technical Report Series."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1152","DOI":"10.1016\/S0273-1177(03)00365-X","article-title":"Performance of the MODIS Semi-analytical Ocean Color Algorithm for Chlorophyll-a","volume":"33","author":"Carder","year":"2004","journal-title":"Adv. Space Res."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"421","DOI":"10.3390\/rs6010421","article-title":"Improved Accuracy of Chlorophyll-a Concentration Estimates from MODIS Imagery Using a Two-Band Ratio Algorithm and Geostatistics: As Applied to the Monitoring of Eutrophication Processes over Tien Yen Bay (Northern Vietnam)","volume":"6","author":"Ha","year":"2014","journal-title":"Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1364\/AO.22.000020","article-title":"Phytoplankton Pigment Concentrations in the Middle Atlantic Bight: Comparison of Ship Determinations and CZCS Estimates","volume":"22","author":"Gordon","year":"1983","journal-title":"Appl. Opt."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"24937","DOI":"10.1029\/98JC02160","article-title":"Ocean Color Chlorophyll Algorithms for SeaWiFS","volume":"103","author":"Maritorena","year":"1998","journal-title":"J. Geophys. Res."},{"key":"ref_11","first-page":"9","article-title":"Ocean Color Chlorophyll a Algorithms for SeaWiFS, OC2, and OC4: Version 4","volume":"Volume 11","author":"Hooker","year":"2000","journal-title":"SeaWiFS Postlaunch Calibration and Validation Analyses, Part 3, SeaWiFS Postlaunch Technical Report Series"},{"key":"ref_12","unstructured":"Carder, K.L., Chen, F.R., Lee, Z.P., Hawes, S.K., and Cannizzaro, J.P. (2014, June 06). MODIS Ocean Science Team Algorithm Theoretical Basis Document, ATBD 19, Case 2 Chlorophyll-a, Version 7, Available online: http:\/\/modis.gsfc.nasa.gov\/data\/atbd\/atbd_mod19.pdf.2003."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"290","DOI":"10.3390\/ijgi6090290","article-title":"Selecting the Best Band Ratio to Estimate Chlorophyll-a Concentration in a Tropical Freshwater Lake Using Sentinel 2a Images from a Case Study of Lake Ba Be (Northern Vietnam)","volume":"6","author":"Thu","year":"2017","journal-title":"ISPRS Int. J. Geo-Inf."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Liu, G., Li, L., Song, K.S., Li, Y.M., Lyu, H., Wen, Z., Fang, C., Bi, S., Sun, X., and Wang, Z. (2020). An OLCI-based Algorithm for Semi-Empirically Partitioning Absorption Coefficient and Estimating Chlorophyll a Concentration in Various Turbid Case-2 Waters. Remote Sens. Environ., 239.","DOI":"10.1016\/j.rse.2020.111648"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"5755","DOI":"10.1364\/AO.41.005755","article-title":"Deriving Inherent Optical Properties from Water Color: A Multiband Quasi-analytical Algorithm for Optically Deep Waters","volume":"41","author":"Lee","year":"2002","journal-title":"Appl. Opt."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"9024","DOI":"10.1364\/OE.21.009024","article-title":"Retrieval Chlorophyll-a Concentration from Coastal Waters: Three-band Semi-Analytical Algorithms Comparison and Development","volume":"21","author":"Chen","year":"2013","journal-title":"Opt. Express"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2709","DOI":"10.1007\/s12665-012-2093-1","article-title":"An Improved Three-band Semi-analytical Algorithm for Estimating Chlorophyll-a Concentration in Highly Turbid Coastal Waters: A Case Study of the Yellow River Estuary, China","volume":"69","author":"Chen","year":"2013","journal-title":"Environ. Earth Sci."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"3582","DOI":"10.1016\/j.rse.2008.04.015","article-title":"A Simple Semi-Analytical Model for Remote Estimation of Chlorophyll-a in Turbid Waters: Validation","volume":"112","author":"Gitelson","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2070","DOI":"10.1016\/j.rse.2010.04.013","article-title":"Remote Sensing of Cyanobacteria-Dominant Algal Blooms and Water Quality Parameters in Zeekoevlei, a Small Hypertrophic Lake, Using MERIS","volume":"114","author":"Matthews","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"24109","DOI":"10.1364\/OE.18.024109","article-title":"Algorithms for Remote Estimation of Chlorophyll-a in Coastal and Inland Waters Using Red and Near-infrared Bands","volume":"18","author":"Gilerson","year":"2010","journal-title":"Opt. Express"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Toming, K., Kutser, T., Laas, A., Sepp, M., Paavel, B., and N\u00f5ges, T. (2016). First Experiences in Mapping Lake Water Quality Parameters with Sentinel-2 MSI Imagery. Remote Sens., 8.","DOI":"10.3390\/rs8080640"},{"key":"ref_22","first-page":"7","article-title":"Two Decadal Trends of Surface Chlorophyll-a Concentrations in Tropical Lagoon Environments in Sri Lanka Using Satellite and In-situ data","volume":"13","author":"Dahanayaka","year":"2013","journal-title":"Asian J. Geoinform."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"10391","DOI":"10.3390\/ijerph120910391","article-title":"Estimation of Chlorophyll-a Concentration and the Trophic State of the Barra Bonita Hydroelectric Reservoir Using OLI\/Landsat-8 Images","volume":"12","author":"Fernanda","year":"2015","journal-title":"Int. J. Environ. Res. Public Health"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"4919","DOI":"10.1109\/JSTARS.2017.2739184","article-title":"Landsat 8\/OLI Two Bands Ratio Algorithm for Chlorophyll-a Concentration Mapping in Hypertrophic Waters: An Application to West Lake in Hanoi (Vietnam)","volume":"10","author":"Ha","year":"2017","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_25","first-page":"198","article-title":"Statistics of the Sea Surface Derived from Sun Glitter","volume":"13","author":"Cox","year":"1954","journal-title":"J. Mar. Res."},{"key":"ref_26","first-page":"401","article-title":"Slopes of the Sea Surface Deduced from Photographs of Sun Glitter","volume":"6","author":"Cox","year":"1956","journal-title":"Bull Scripps Inst. Oceanogr. Univ. Calif."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"492","DOI":"10.1016\/j.jqsrt.2009.10.001","article-title":"Evaluation of Sun Glint Models Using MODIS Measurements","volume":"111","author":"Zhang","year":"2010","journal-title":"J. Quant. Spectrosc. Radiat. Transf."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/j.rse.2018.02.004","article-title":"Observation of Sea Surface Roughness at a Pixel Scale Using Multi-angle Sun Glitter Images Acquired by the ASTER Sensor","volume":"208","author":"Zhang","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Hu, C. (2011). An Empirical Approach to Derive MODIS Ocean Color Patterns under Severe Sun Glint. Geophys. Res. Lett., 38.","DOI":"10.1029\/2010GL045422"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1016\/j.rse.2017.10.022","article-title":"Sunglint Correction of the Multi-Spectral Instrument (MSI)-Sentinel-2 Imagery over inland and Sea Waters from SWIR Bands","volume":"204","author":"Harmel","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1364\/AO.51.000220","article-title":"Assessment of a Bidirectional Reflectance Distribution Correction of above Water and Satellite Water-Leaving Radiance in Coastal Waters","volume":"51","author":"Hlaing","year":"2012","journal-title":"Appl. Opt."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"3831","DOI":"10.1364\/AO.38.003831","article-title":"Hyperspectral Remote Sensing for Shallow Waters: 2. Deriving Bottom Depths and Water Properties by Optimization","volume":"38","author":"Lee","year":"1999","journal-title":"Appl. Opt."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"5721","DOI":"10.1364\/AO.33.005721","article-title":"Model for the Interpretation of Hyperspectral Remote-Sensing Reflectance","volume":"33","author":"Lee","year":"1994","journal-title":"Appl. Opt."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"6329","DOI":"10.1364\/AO.37.006329","article-title":"Hyperspectral Remote Sensing for Shallow Waters: 1. A Semianalytical Model","volume":"37","author":"Lee","year":"1998","journal-title":"Appl. Opt."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"2873","DOI":"10.1364\/OE.11.002873","article-title":"An Analytical Model for Subsurface Irradiance and Remote Sensing Reflectance in Deep and Shallow Case-2 Waters","volume":"11","author":"Albert","year":"2003","journal-title":"Opt. Express"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1035","DOI":"10.3390\/rs2041035","article-title":"Per-Field Irrigated Crop Classification in Arid Central Asia Using SPOT and ASTER Data","volume":"2","author":"Conrad","year":"2010","journal-title":"Remote Sens."},{"key":"ref_37","first-page":"1042129","article-title":"Contribution of the New satellites (Sentinel-1, Sentinel-2, and SPOT-6) to the Coastal Vegetation Monitoring in the Pays de Brest (France)","volume":"Volume 10421","author":"Ali","year":"2017","journal-title":"Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"352","DOI":"10.1007\/s10661-018-6725-0","article-title":"Estimating and Mapping Forest Biomass Using Regression Models and SPOT-6 Images (Case Study: Hyrcanian Forests of North of Iran)","volume":"190","author":"Motlagh","year":"2018","journal-title":"Environ. Monit. Assess."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"695","DOI":"10.14358\/PERS.69.6.695","article-title":"Remote Sensing Techniques to Assess Water Quality","volume":"69","author":"Ritchie","year":"2003","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"799","DOI":"10.1080\/01431169308904379","article-title":"The use of the Thematic Mapper for the Analysis of Eutrophic Lakes: A case Study in the Netherlands","volume":"14","author":"Dekker","year":"1993","journal-title":"Int. J. Remote Sens."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1080\/02705060.1994.9664887","article-title":"Chlorophyll Measurements in the Presence of Suspended Sediment Using Broad Band Spectral Sensors Aboard Satellites","volume":"9","author":"Ritchie","year":"1994","journal-title":"J. Freshw. Ecol."},{"key":"ref_42","unstructured":"(2014, June 06). The Free Dictionary by FARLEX, Sanya. Available online: https:\/\/encyclopedia.thefreedictionary.com\/Sanya."},{"key":"ref_43","first-page":"2","article-title":"Wave Observation and Statistical Analysis in the Southeast Coast of Hainan Island","volume":"34","author":"Li","year":"2016","journal-title":"Adv. Mar. Sci."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"562","DOI":"10.4319\/lo.1990.35.3.0562","article-title":"Spectral Absorption Coefficients of Living Phytoplankton and Non-Algal Biogenous Matter: A comparison Between the Peru Upwelling Area and the Sargasso Sea","volume":"35","author":"Bricaud","year":"1990","journal-title":"Limnol. Oceanogr."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"3286","DOI":"10.1002\/2014JC010668","article-title":"Beam Attenuation, Scattering and Backscattering of Marine Particles in relation to Particle Size Distribution and Composition in Hudson Bay (Canada)","volume":"120","author":"Xi","year":"2015","journal-title":"J. Geophys. Res. Oceans"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Neil, C., Cunningham, A., and Mckee, D. (2011). Relationships between Suspended Mineral Concentrations and Red-Waveband Reflectances in Moderately Turbid Shelf Seas. Remote Sens. Environ., 115.","DOI":"10.1016\/j.rse.2011.09.010"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"15073","DOI":"10.1364\/OE.18.015073","article-title":"Spectral Backscattering Properties of Marine Phytoplankton Cultures","volume":"18","author":"Whitmire","year":"2010","journal-title":"Opt. Express"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"7442","DOI":"10.1364\/AO.38.007442","article-title":"Estimation of the Remote-Sensing Reflectance from Above-Surface Measurements","volume":"38","author":"Mobley","year":"1999","journal-title":"Appl. Opt."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"380","DOI":"10.4319\/lo.2003.48.1_part_2.0380","article-title":"Bidirectional Reflectance Measurements of Sediments in The Vicinity of Lee Stocking Island, Bahamas","volume":"48","author":"Zhang","year":"2013","journal-title":"Limnol. Oceanogr."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1016\/j.rse.2005.05.013","article-title":"Red Tide Detection and Tracing Using MODIS Fluorescence Data: A Regional Example in SW Florida Coastal Waters","volume":"97","author":"Hu","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Hu, C., Lee, Z., and Franz, B. (2012). Chlorophyll-a Algorithms for Oligotrophic Oceans: A Novel Approach Based on Three-Band Reflectance Difference. J. Geophys. Res. Oceans., 117.","DOI":"10.1029\/2011JC007395"},{"key":"ref_52","unstructured":"Gower, J., King, S., Yan, W., Borstad, G., and Brown, L. (2005). Use of the 709 nm Band of MERIS to Detect Intense Plankton Blooms and Other Conditions in Coastal Waters. Eur. Space Agency, 31."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"045003","DOI":"10.1088\/1748-9326\/4\/4\/045003","article-title":"A Bio-Optical Algorithm for the Remote Estimation of the Chlorophyll-A Concentration in Case 2 Waters","volume":"4","author":"Gitelson","year":"2009","journal-title":"Environ. Res. Lett."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"10909","DOI":"10.1029\/JD093iD09p10909","article-title":"A Semi-Analytic Radiance Model of Ocean Color","volume":"93","author":"Gordon","year":"1988","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1236","DOI":"10.1364\/AO.44.001236","article-title":"Model of remote-sensing reflectance including bidirectional effects for case 1 and case 2 waters","volume":"44","author":"Park","year":"2005","journal-title":"Appl. Opt."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"2929","DOI":"10.1364\/AO.40.002929","article-title":"Modeling the Inherent Optical Properties of the Ocean Based on the Detailed Composition of the Planktonic Community","volume":"40","author":"Stramski","year":"2001","journal-title":"Appl. Opt."},{"key":"ref_57","first-page":"231","article-title":"Determination of Spectral Absorption Coefficients of Particles, Dissolved Material and Phytoplankton for Discrete Water Samples","volume":"3","author":"Mitchell","year":"2002","journal-title":"Ocean Opt. Protoc. Satell. Ocean Color Sens. Valid. Revis."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1364\/AO.20.000177","article-title":"Optical Properties of the Clearest Natural Waters (200\u2013800 nm)","volume":"20","author":"Smith","year":"1981","journal-title":"Appl. Opt."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"1041","DOI":"10.5194\/bg-4-1041-2007","article-title":"Optical Backscattering Properties of the \u201cClearest\u201d Natural Waters","volume":"4","author":"Twardowski","year":"2007","journal-title":"Biogeosciences"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1029\/95GB02832","article-title":"Oceanic Primary Production 2: Estimation of Global Scale from Satellite (Coastal Zone Color Scanner) Chlorophyll","volume":"10","author":"Antoite","year":"1996","journal-title":"Glob. Biogeochem. Cy."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1016\/S0272-7714(02)00189-0","article-title":"Inherent and Apparent Optical Properties in Coastal Waters: A study of the Clyde Sea in Early Summer","volume":"56","author":"McKee","year":"2002","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1016\/j.ecss.2006.02.010","article-title":"Identification and Characterization of Two Optical Water Types in the Irish Sea from in Situ Inherent Optical Properties and Seawater Constituents","volume":"68","author":"McKee","year":"2006","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"8710","DOI":"10.1364\/AO.36.008710","article-title":"Absorption Spectrum (380\u2013700 nm) of Pure Water II. Integrating Cavity Measurements","volume":"36","author":"Pope","year":"1997","journal-title":"Appl. Opt."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"348","DOI":"10.1016\/S0034-4257(98)00095-9","article-title":"A Sensitivity Study of the SeaWiFS Atmospheric Correction Algorithm: Effects of Spectral Band Variations","volume":"67","author":"Wang","year":"1999","journal-title":"Remote Sens. Environ."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1117\/12.366315","article-title":"Atmospheric Correction for Short Wave Spectral Imagery Based on MODTRAN4","volume":"3753","author":"Matthew","year":"1999","journal-title":"SPIE Proc. Imaging Spectr."},{"key":"ref_66","unstructured":"Vis, I. (2009). Atmosphere Correction Module: QUAC and FLAASH User\u2019s Guide. ITT Visual Information Solutions, ITT. [4th ed.]."},{"key":"ref_67","first-page":"158","article-title":"Atmospheric Correction Assessment of SPOT-6 Image and its Influence on Models to Estimate Water Column Transparency in Tropical Reservoir","volume":"4","author":"Rotta","year":"2016","journal-title":"Remote Sens. Appl. Soc. Environ."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1007\/s11769-018-1013-z","article-title":"Comparative Study on Coastal Depth Inversion Based on Multi-source Remote Sensing Data","volume":"29","author":"Lu","year":"2019","journal-title":"Chin. Geogr. Sci."},{"key":"ref_69","first-page":"3394","article-title":"Analysis of Spectral Characteristics of Coral Under Different Growth Patterns","volume":"35","author":"Chen","year":"2015","journal-title":"Acta Ecol. Sin."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"361","DOI":"10.4319\/lo.1977.22.2.0361","article-title":"A Trophic State Index for Lakes","volume":"22","author":"Carlson","year":"1977","journal-title":"Limnol. Oceanogr."},{"key":"ref_71","unstructured":"Lamparelli, M.C. (2004). Graus De Trofia Em Corpos D\u2019\u00c1gua Do Estado De S\u00e3o Paulo. [Ph.D. Thesis, University of S\u00e3o Paulo]."},{"key":"ref_72","unstructured":"(2014, June 06). Ocean Color Web, Available online: http:\/\/oceancolor.gsfc.nasa.-gov\/ANALYSIS\/ocv6\/."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"2369","DOI":"10.1364\/AO.33.002369","article-title":"Local Algorithms Using SeaWiFS data for the Retrieval of Phytoplankton, Pigments, Suspended Sediment, and Yellow Substance in Coastal Waters","volume":"33","author":"Tassan","year":"1994","journal-title":"Appl. Opt."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"183","DOI":"10.2166\/nh.2006.0014","article-title":"Optical Properties of Finnish Lakes Estimated with Simple Bio-Optical Models and Water Quality Monitoring Data","volume":"37","author":"Kallio","year":"2006","journal-title":"Hydrol. Res."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/j.rse.2014.04.033","article-title":"Factors Affecting the Measurement of CDOM by Remote Sensing of Optically Complex Inland Waters","volume":"157","author":"Brezonik","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"786","DOI":"10.3390\/rs10050786","article-title":"Machine Learning Regression Approaches for Colored Dissolved Organic Matter (CDOM) Retrieval with S2-MSI and S3-OLCI Simulated Data","volume":"10","author":"Ana","year":"2018","journal-title":"Remote Sens."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"43","DOI":"10.4319\/lo.1981.26.1.0043","article-title":"Absorption by Dissolved Organic Matter of the Sea (YELLOW SUBSTANCE) in the UV and Visible Domains","volume":"26","author":"Bricaud","year":"1981","journal-title":"Limnol. Oceanogr."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1016\/j.watres.2018.12.004","article-title":"Characterization of CDOM in Saline and Freshwater Lakes Across China Using Spectroscopic Analysis","volume":"150","author":"Song","year":"2019","journal-title":"Water Res."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/17\/2765\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T10:06:51Z","timestamp":1760177211000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/17\/2765"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,26]]},"references-count":78,"journal-issue":{"issue":"17","published-online":{"date-parts":[[2020,9]]}},"alternative-id":["rs12172765"],"URL":"https:\/\/doi.org\/10.3390\/rs12172765","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,8,26]]}}}