Publications

Camiolo, MD; Cozzolino, E; Dogliotti, AI; Simionato, CG; Lasta, CA (2019). An empirical remote sensing algorithm for retrieving total suspended matter in a large estuarine region. SCIENTIA MARINA, 83(1), 53-60.

Abstract
The Rio de la Plata is a large, shallow estuary located at approximately 35 degrees S and flowing into the southwestern Atlantic Ocean. it carries a high amount of nutrients and suspended particulate matter, both organic and inorganic, to the adjacent shelf waters and is considered among the most turbid estuarine systems in the world. Knowledge of the concentration and spatial and temporal variability of these materials is critical for any biological study in the Rio de la Plata. In this work, the relationship between suspended particulate matter and turbidity is empirically established in order to derive suspended particulate matter maps from satellite data (MODIS-Aqua) for the Rio de la Plata region. A strong correlation between suspended particulate matter and turbidity was found (Pearson correlation coefficient =0.91) and the linear regression (slope =0.76 and intercepts =12.78, R-2 =0.83) explained 83% of the variance. The validation of the empirical algorithm, using co-located and coincident satellite and in situ measurements, showed good results with a low mean absolute error (14.60%) and a small and positive bias (3.04%), indicating that the estimated suspended particulate matter values tend to slightly overestimate the field values.

DOI:
10.3989/scimar.04847.22A

ISSN:
0214-8358