An algorithm for the identification of benthic algae in the Venice lagoon from Thematic Mapper data

Abstract

An algorithm for the identification of benthic algae in the Venice lagoon using Thematic Mapper data has been developed from a study combining water optics modelling with remote sensing routines tailored to the local situation. The sensitivity and validity range of the algorithm have been assessed by an error analysis considering both the atmospheric correction uncertainty and the masking cfTect of water turbidity. The procedure has been tested on a TM scene of 7 June 1989 yielding a thematic map which classifies algae according to depth.