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A Novel Statistical Approach for Ocean Colour Estimation of Inherent Optical Properties and Cyanobacteria Abundance in Optically Complex Waters.

, , , , , and . Remote Sensing, 9 (4): 343 (2017)

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A Novel Statistical Approach for Ocean Colour Estimation of Inherent Optical Properties and Cyanobacteria Abundance in Optically Complex Waters., , , , , and . Remote Sensing, 9 (4): 343 (2017)Empirical Model for Phycocyanin Concentration Estimation as an Indicator of Cyanobacterial Bloom in the Optically Complex Coastal Waters of the Baltic Sea., , , and . Remote. Sens., 8 (3): 212 (2016)Influence of Dispersed Oil on the Remote Sensing Reflectance - Field Experiment in the Baltic Sea., , , and . Sensors, 21 (17): 5733 (2021)Empirical Relationships between Remote-Sensing Reflectance and Selected Inherent Optical Properties in Nordic Sea Surface Waters for the MODIS and OLCI Ocean Colour Sensors., , , , , , and . Remote. Sens., 12 (17): 2774 (2020)Comparisons of Satellite and Modeled Surface Temperature and Chlorophyll Concentrations in the Baltic Sea with In Situ Data., , , , and . Remote. Sens., 13 (15): 3049 (2021)Cyanobacteria Index as a Tool for the Satellite Detection of Cyanobacteria Blooms in the Baltic Sea., , , , , and . Remote. Sens., 15 (6): 1601 (March 2023)Empirical Formulas for Estimating Backscattering and Absorption Coefficients in Complex Waters from Remote-Sensing Reflectance Spectra and Examples of Their Application., , and . Sensors, 19 (18): 4043 (2019)The operational method of filling information gaps in satellite imagery using numerical models., , , and . Int. J. Appl. Earth Obs. Geoinformation, (2019)