Paper Abstract Global standard ocean colour algorithms may be inefficient to estimate the concentration of seawater constituents in the Mediterranean Sea. Local overestimation or underestimation of chlorophyll, suspended sediments and yellow substance are in fact quite common. To avoid this problem, our research group works on the local calibration of empirical or semi-analytical algorithms through comparison to in situ measured data. The spectral features of chlorophyll, suspended sediments and yellow substance were found for a number of samples near the coast of Tuscany (Italy). An unconventional algorithm was then developed and applied to satellite data (MODIS) for the retrieval of water constituent concentrations. This inversion algorithm is based on the minimization of the spectral angle between simulated and measured remote sensing reflectances. The estimated concentrations show a lower error with respect to that obtained by a standard error minimization criterion. Monthly maps of seawater constituent concentrations obtained by applying the proposed algorithm to numerous satellite images confirm the oligotrophic nature of the Tuscany Sea, where high values of these concentrations can be found only in early spring near the mouths of the main rivers.

Use of MODIS images to monitor water constituent concentrations in the Tuscany Sea / C. Santini; F. Maselli; L. Massi; M. Pieri;. - ELETTRONICO. - Volume 6743 (67430M):(2007), pp. 67430M01-67430M10. ((Intervento presentato al convegno SPIE Proceedings - Remote Sensing of the Ocean, Sea Ice, and Large Water Regions tenutosi a Firenze nel 17/09/2007 [10.1117/12.737772].

Use of MODIS images to monitor water constituent concentrations in the Tuscany Sea

MASSI, LUCA;
2007

Abstract

Paper Abstract Global standard ocean colour algorithms may be inefficient to estimate the concentration of seawater constituents in the Mediterranean Sea. Local overestimation or underestimation of chlorophyll, suspended sediments and yellow substance are in fact quite common. To avoid this problem, our research group works on the local calibration of empirical or semi-analytical algorithms through comparison to in situ measured data. The spectral features of chlorophyll, suspended sediments and yellow substance were found for a number of samples near the coast of Tuscany (Italy). An unconventional algorithm was then developed and applied to satellite data (MODIS) for the retrieval of water constituent concentrations. This inversion algorithm is based on the minimization of the spectral angle between simulated and measured remote sensing reflectances. The estimated concentrations show a lower error with respect to that obtained by a standard error minimization criterion. Monthly maps of seawater constituent concentrations obtained by applying the proposed algorithm to numerous satellite images confirm the oligotrophic nature of the Tuscany Sea, where high values of these concentrations can be found only in early spring near the mouths of the main rivers.
SPIE 6743, Remote Sensing of the Ocean, Sea Ice, and Large Water Regions 2007, 67430M
SPIE Proceedings - Remote Sensing of the Ocean, Sea Ice, and Large Water Regions
Firenze
17/09/2007
C. Santini; F. Maselli; L. Massi; M. Pieri;
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2158/360395
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