SAMBUCA - Semi-analytical model for Bathymetry, un-mixing and concentration assessment

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Wettle, M; Brando, Vittorio E



CSIRO Land and Water Science Report No. 22/06

SAMBUCA is optimization-driven analytical model for estimating water column constituent concentrations, water column depth, and benthic substrate composition from remote sensing data. Based on an approach conceptualized by Lee et al. (1998, 1999, 2001), SAMBUCA was implemented in an IDL/ENVI environment. Following extensive testing and application of the approach to different data sets, several important modifications and improvements were made to the original Lee et al. (1998, 1999, 2001) approach. Notably, the optical parameterization of both the water column and the benthic substratum - fundamental properties of the model - were re-defined. Furthermore, features such as accessing spectral remote sensing signal, and tracking the optimal depth of a given system, were added. Comparison of output from SAMBUCA and the industry standara HYDROLIGHT model yield satisfactory results. The aim of this technical report is to give a comprehensive description of SAMBUCA.

CSIRO Land & Water

Canberra, ACT

Land and Water

This report has been placed on the CSIRO repository and may be made available to persons outside of CSIRO for non commercial purposes, in its entirety and without deletion of disclaimers and copyright information.

Published Version (pdf) (532KB)

CSIRO Land and Water Science Report




Wettle, M; Brando, Vittorio E. SAMBUCA - Semi-analytical model for Bathymetry, un-mixing and concentration assessment. Canberra, ACT: CSIRO Land & Water; 2006-07.

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