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Proceedings Paper

Landsat TM images as sea-truth data for calibrating dispersion coefficients in a two-dimensional river plume numerical model
Author(s): Matteo Nicolini; Enzo Pranzini; Carolina Santini
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Paper Abstract

A Landsat TM image of the Arno River mouth (Tuscany, Italy) was geocoded and atmospherically corrected in order to obtain suspended sediment concentration (s.s.c.) values. For the same day in which the image was a acquired, the river plume was simulated with MIKE 21 modeling system, given river discharge and wind speed. The suspended sediment concentration maps obtained through the two procedures were compared and eddy viscosity and dispersion coefficients were modified in order to gain the plume shape which best fits the remotely sensed one. After additional calibrations, the modeling system will be used to predict pollutant dispersion along the coast, which is intensively used for tourism.

Paper Details

Date Published: 17 December 1999
PDF: 8 pages
Proc. SPIE 3868, Remote Sensing for Earth Science, Ocean, and Sea Ice Applications, (17 December 1999); doi: 10.1117/12.373138
Show Author Affiliations
Matteo Nicolini, Univ. degli Studi di Udine (Italy)
Enzo Pranzini, Univ. degli Studi di Firenze (Italy)
Carolina Santini, Consorzio Pisa Ricerche (Italy)

Published in SPIE Proceedings Vol. 3868:
Remote Sensing for Earth Science, Ocean, and Sea Ice Applications
Giovanna Cecchi; Edwin T. Engman; Eugenio Zilioli, Editor(s)

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