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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004 
  
  
UFU 
1 
urpe pet 
Depth (m) 
EC on rnin 
  
erred barrio Mere tf dt med mer 
190 150.200 250 
Distance (pts) 
Figure 13. S. Erasmo littoral. Bathymetry estimation using 
Jupp’s model (dotted line) vs. real bathymetry (plain line). 
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Distance (pts) 
Figure 14. S. Erasmo littoral. Bathymetry estimation using SGA 
algorithm (dotted line) vs. real bathymetry (plain line). 
6. CONCLUSIONS 
The great attention that is given to the lagoon of Venice and to 
his environmental problems is justified by the value of the 
ecosystems and for the wealth of the artistic patrimony that it 
contains. ^ The erosion phenomenon subtracts sand and 
sediments to the lagoon with a dynamics that provokes the 
lowering and the levelling of the depth contour, and the 
disappearance of the physical typical designs of the lagoon 
environment. Nowadays, the discharge of sediments from the 
lagoon of Venice is esteemed in about 1.100.000 m per year, 
so emerge the problem of developed a fast and cheap 
monitoring technique of the bathymetry in the lagoon. 
The methodology proposed in this paper is an evolution of the 
Jupps DOP model that holds account of the complex 
environmental conditions of the lagoon. Tests in the lagoon of 
Venice shows a good correlation between the real bathymetry 
derived from the sounding points, used as reference data, and 
the computed bathymetry with the stratified genetic algorithm 
developed. 
As like as the original Jupp model, even the new SGA 
algorithm needs to be calibrated to correctly esteem the 
coefficients of absorption. The limit of a such analysis lies in 
the correct computation of these coefficients for a spatial 
generalization, that, for the lagoon of Venice, are very variable. 
This problem, however, is to be attribute to the very complex 
lagoon ecosystem and should be deeper studied. 
99 
ACKNOWLEDGEMENTS 
This work has been carried out under a research framework 
founded by the Italian Ministry for University and Scientific 
Research (MIUR), contract title: “The use of high resolution 
satellite images for environmental analyses”. 
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