Landsat TM images as sea-truth data for calibrating dispersion coefficients in a two-dimensional river plume numerical model

Matteo Nicolini; Enzo Pranzini; Carolina Santini

doi:10.1117/12.373138

17 December 1999 Landsat TM images as sea-truth data for calibrating dispersion coefficients in a two-dimensional river plume numerical model

Matteo Nicolini, Enzo Pranzini, Carolina Santini

Author Affiliations +

Proceedings Volume 3868, Remote Sensing for Earth Science, Ocean, and Sea Ice Applications; (1999) https://doi.org/10.1117/12.373138
Event: Remote Sensing, 1999, Florence, Italy

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.

Citation Download Citation

Matteo Nicolini, Enzo Pranzini, and Carolina Santini "Landsat TM images as sea-truth data for calibrating dispersion coefficients in a two-dimensional river plume numerical model", Proc. SPIE 3868, Remote Sensing for Earth Science, Ocean, and Sea Ice Applications, (17 December 1999); https://doi.org/10.1117/12.373138

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