Ms. Athina Tsapanou Profile

Athina Tsapanou

at National & Kapodistrial Univ of Athens

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Proceedings Article | 6 August 2018 Paper

Evaluating ocean-color algorithms to remotely sense the surface suspended particle matter in the northeast Aegean Sea, Greece

A. Tsapanou, E. Oikonomou, S. Poulos, P. Drakopoulos

Proceedings Volume 10773, 107731E (2018) https://doi.org/10.1117/12.2326133

KEYWORDS: Algorithm development, Reflectivity, Earth observing sensors, Landsat, Satellites, Remote sensing, In situ remote sensing, Sensors

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Oceanographic investigations have significantly benefited from multispectral satellite products that simplify monitoring in coastal regions thanks to their high spatial-temporal resolution. The surface Suspended Particulate Matter (SPM) is an important water quality parameter which can be derived from empirical or analytical algorithms by using the atmospherically-corrected remotely sensed reflectance R_rs(λ) retrieved from satellite imagery. In this study, in situ SPM and R_rs(λ) data were collected in the Gulf of Alexandroupolis, Northeastern Aegean Sea in Greece (Eastern Mediterranean Sea) during low discharge period (June 2016). We attempt to compute remotely sensed reflectance from Landsat OLI8 imagery, in order to quantify surface SPM concentrations via both a Semi-Analytical and a Multi-Band Empirical Algorithm. When comparing the satellite estimations against the field measurements, both algorithm approaches provide a non absolute correlation with in situ R_rs (~20-30 % offset). As a result, a generic semi-analytical equation for Alexandroupolis Gulf is developed, following algorithm calibration in low turbidity waters. The proposed algorithm can be then equally implemented to the new Sentinel-2A sensor, in order to assess its variations against Landsat 8 and to determine the applicability extend of our approach.

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