Preprint volume - SIBM

Pre-print Volume – Posters
Topic 3: INTEGRATED COASTAL ZONE MANAGEMENT
irradiance does not influence mixing space shape and endmembers selection.
Reflectance information within visible and infrared regions, from 0,433 µm and 0,833
µm, allows the identification of P. oceanica meadows upper limits (Fig. 1) and their
coverage. The accuracy of the classification results was assessed using a second dataset
of ground-truth data. Validation polygons were compared with the final classification,
and statistics were summarized in the form of a confusion matrix. Based on the above
the backscatter signal of seabottom roughness was finally used in order to fit the
optical data results.
Conclusions - The combined use of both MIVIS and LiDAR remote data produced a
novel paradigm in order to map P. oceanica meadows. Results highlight the need of a
more controlled field based spectral profiles acquisition in order to obtain a more
detailed characterization of different typologies of P. oceanica meadows based on the
different effects on reflectance media.
Fig. 1 - An example of Posidonia oceanica meadow upper limit visualization through a linear
unmixing classification (black=masked land; light grey=P. oceanica meadow).
Un esempio di visualizzazione del limite superiore della prateria di Posidonia oceanica
mediante classificazione di linear unmixing (nero=parte emersa; grigio chiaro=prateria di
P. oceanica).
References
SMALL C. (2004) - The Landsat ETM+ Spectral Mixing Space. Remote Sensing of Environment,
93:1-17.
41 st S.I.B.M. CONGRESS Rapallo (GE), 7-11 June 2010
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