The performance of empirical band ratio models were evaluated for the estimation of Coloured Dissolved Organic Matter (CDOM) using MODIS ocean colour sensor images and data collected on the North-Central Western Adriatic Sea (Mediterranean Sea). Relationships between in situ measurements (2013-2016) of CDOM absorption coefficients at 355 nm (aCDOM355) with several MODIS satellite band ratios were evaluated on a test data set. The prediction capability of the different linear models was assessed on a validation data set. Based on some statistical diagnostic parameters (R2, APD and RMSE), the best MODIS band ratio performance in retrieving CDOM was obtained by a simple linear model of the transformed dependent variable using the remote sensing reflectance band ratio Rrs(667)/Rrs(488) as the only independent variable. The best-retrieved CDOM algorithm provides very good results for the complex coastal area along the North-CentralWestern Adriatic Sea where the Po River outflow is the main driving force in CDOM and nutrient circulation, which in winter mostly remains confined to a coastal boundary layer, whereas in summer it spreads to the open sea as well.
CITATION STYLE
Campanelli, A., Pascucci, S., Betti, M., Grilli, F., Marini, M., Pignatti, S., & Guicciardi, S. (2017). An empirical ocean colour algorithm for estimating the contribution of coloured dissolved organic matter in North-Central Western Adriatic Sea. Remote Sensing, 9(2). https://doi.org/10.3390/rs9020180
Mendeley helps you to discover research relevant for your work.