Spectrophotometric system to develop a non-invasive method for monitoring of posidonia oceanica meadows

P. Menesatti; G. Urbani; T. Dolce

doi:10.1117/12.735551

22 October 2007 Spectrophotometric system to develop a non-invasive method for monitoring of posidonia oceanica meadows

P. Menesatti, G. Urbani, T. Dolce

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Proceedings Volume 6761, Optics for Natural Resources, Agriculture, and Foods II; 676119 (2007) https://doi.org/10.1117/12.735551
Event: Optics East, 2007, Boston, MA, United States

Abstract

Posidonia oceanica (L.) is an endemic phanerogam of the Mediterranean Sea. It lives between 0.2 and 40 m depth and make up extensive meadows that play a fundamental role in the marine coast ecosystem. Near the coasts at higher anthropic pressure, Posidonia meadows present both quality and quantity damages (regression) due to the mechanical operations on the seabed (anchoring, drag netting, pipe lines) and the sea pollution. Nowadays, the seagrass regression is monitored by different systems: aereophotografic, side scan sonar, underwater television camera, direct underwater visual inspection. Scientific community is looking for to develop monitoring systems more reliable, rapid and non invasive. Aim of this study is to evaluate the application of a new spectrophotometric imaging system based on the acquisition of reflectance spectral images with a good optical (250 Kpixels) and spectral resolution (spectral range 400-970 nm, a total of 115 single wavelength, 5 nm step each one). First trials were made on Posidonia's leafs to evaluate the system capacity to recognize spectral differences between samples picked up at two different depths (0.3 - 4 m). High discrimination percentage (90%) were found between leaf samples as function of the different depths, analyzing the spectral data by Partial Least Squares model. Forward activities will stress the system capability also to evaluate different phenol concentrations on Posidonia leaves, an important index of physiologic vegetal damage, through direct underwater spectrophotometric monitoring.

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P. Menesatti, G. Urbani, and T. Dolce "Spectrophotometric system to develop a non-invasive method for monitoring of posidonia oceanica meadows", Proc. SPIE 6761, Optics for Natural Resources, Agriculture, and Foods II, 676119 (22 October 2007); https://doi.org/10.1117/12.735551

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KEYWORDS

Imaging systems

Reflectivity

Data modeling

Statistical analysis

FDA class I medical device development

FDA class II medical device development

Cameras

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