@inproceedings{3177877,
    title = "Evaluating ocean-color algorithms to remotely sense the surface
suspended particle matter in the northeast Aegean Sea, Greece",
    author = "Tsapanou, A. and Oikonomou, E. and Poulos, S. and Drakopoulos, P.",
    year = "2018",
    publisher = "SPIE - INT SOC OPTICAL ENGINEERING",
    booktitle = "SIXTH INTERNATIONAL CONFERENCE ON REMOTE SENSING AND GEOINFORMATION OF
THE ENVIRONMENT (RSCY2018)",
    doi = "10.1117/12.2326133",
    keywords = "Ocean Colour; Remote Sensing; water transparency; Landsat-8; Sentinel-2",
    abstract = "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
(2.) retrieved from satellite imagery. In this study, in situ SPM and R
(2.) 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 (-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."
}