http://www.cnr.it/ontology/cnr/individuo/prodotto/ID172756
Classification of submersed aquatic vegetation of the Venice lagoon using MIVIS airborne data (Articolo in rivista)
- Type
- Label
- Classification of submersed aquatic vegetation of the Venice lagoon using MIVIS airborne data (Articolo in rivista) (literal)
- Anno
- 2006-01-01T00:00:00+01:00 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Alberotanza L. (1); Cavalli R.M. (2); Pignatti S. (2,3); Zandonella A. (4) (literal)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
- Conference: Conference on Airborne Remote Sensing for Geophysical and Environmental Application Location: Rome, ITALY Date: APR 14-16, 2003 (literal)
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- ISI Web of Science (WOS) (literal)
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- (1) Istituto di Scienze Marine (ISMAR), CNR, Venezia, Italy;
(2) Laboratorio Aereo Ricerche Ambientali (LARA), IIA-CNR, Tor Vergata (RM), Italy;
(3) Istituto di Metodologie per l'Analisi Ambientale (IMAA), CNR, Tito Scalo (PZ), Italy;
(4) AdTec, Roma, Italy; (literal)
- Titolo
- Classification of submersed aquatic vegetation of the Venice lagoon using MIVIS airborne data (literal)
- Abstract
- In July 2001 an aerial survey with MIVIS (Multispectral Infrared and Visible Spectrometer) hypersepctral sensor and an in situ survey campaign were performed on Venice lagoon to map benthic macro-algae and sea phanerogamsdistribution. On MIVIS VIS spectral range images, training areas for benthic macro-algae and sea phanerogams have been selected by using sea truth data collected by CNR-ISMAR from in situ campaign and periodic area surveys used in the lagoon by the local authorities. the derived spectral signature has been used to classify the area in order to produce the maps of the pure and mixture submersed vegetation population. the algorithm applied to the data is based on the Subpixel Spectral Analytical Process (SSAP) method. The method assumes that the spectrum of a single pixel is composed of a fraction of the material of interest while the remainder of the observed spectra contains background meterials. In terms of recognition processes the produced maps present a very good agreement with the sea truth data even though the fraction material expressed in the maps does not represent a quantitative estimation of the material of interes. (literal)
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