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9 results on '"Merloni, N."'

2. Flora vascolare alloctona e invasiva delle regioni d’Italia

Author

Blasi C., Celesti-Grapow L., Pretto F., Accogli R., Alessandrini A., Arrigoni P. V., Assini S., Banfi E., Barni E., Bernardo L., Boracchia M., Bovio M., Bracchi G., Brundu G., Brusa G., Cagiotti M. R., Camarda I., Carli E., Carlin S., Carta L., Conti F., De Mattei R., Del Guacchio E., Di Turi A., Domina G., Fascetti S., Ferretti G., Galasso G., Gangale C., Gariboldi L., Gubellini L., La Valva V., Lattanzi E., Lucchese F., Manca M., Manzi A., Marchiori S., Mazzola P., Medagli P., Merloni N., Palla M. F., Passalacqua N. G., Peccenini S., Pellizzari M., Piccoli F., Poldini L., Prosser F., Ranfa A., Siniscalco C., Soldano A., Tornadore N., Uzunov D., Vidali M., Viegi L., Villani M. C., Wilhalm T, Blasi, C., Celesti-Grapow, L., Pretto, F., Accogli, R., Alessandrini, A., Arrigoni, P. V., Assini, S., Banfi, E., Barni, E., Bernardo, L., Boracchia, M., Bovio, M., Bracchi, G., Brundu, G., Brusa, G., Cagiotti, M. R., Camarda, I., Carli, E., Carlin, S., Carta, L., Conti, F., De Mattei, R., Del Guacchio, E., Di Turi, A., Domina, G., Fascetti, S., Ferretti, G., Galasso, G., Gangale, C., Gariboldi, L., Gubellini, L., La Valva, V., Lattanzi, E., Lucchese, F., Manca, M., Manzi, A., Marchiori, S., Mazzola, P., Medagli, P., Merloni, N., Palla, M. F., Passalacqua, N. G., Peccenini, S., Pellizzari, M., Piccoli, F., Poldini, L., Prosser, F., Ranfa, A., Siniscalco, C., Soldano, A., Tornadore, N., Uzunov, D., Vidali, M., Viegi, L., Villani M. C., &amp, and Wilhalm, T

Published
2010

3. Capitolo 1.3 - La biodiversità: le specie vegetali

Author

Merloni N., SPERANZA, MARIA, MARASMI C., Merloni N., and Speranza M.

Subjects
RETE ECOLOGICA NATURA 2000, SITO DI IMPORTANZA COMUNITARIA (SIC), ZONA DI PROTEZIONE SPECIALE (ZPS), COMUNITÀ VEGETALI DEI SISTEMI DUNOSI
Abstract

Si tratta di una rassegna del patrimonio naturale vegetale (specie e comunità) di uno dei tratti di costa emiliano-romagnola di maggior pregio naturalistico, area protetta della Rete Ecologica Natura 2000.

Published
2009

4. Flora alloctona d’Italia

Author

Blasi, Carlo, Celesti, Laura, Pretto, F., Accogli, R., Alessandrini, A., Arrigoni, P. V., Assini, S., Banfi, E., Barni, E., Bernardo, L., Boracchia, M., Bovio, M., Bracchi, G., Brundu, G., Brusa, G., Cagiotti, M. R., Camarda, I., Carli, E., Carlin, S., Carta, L., Conti, F., Del Guacchio, E., Di Turi, R., Domina, G., Fascetti, S., Ferretti, G., Galasso, G., Gangale, C., Gariboldi, L., Gubellini, L., Lattanzi, E., La Valva, V., Lucchese, F., Manca, M., Manzi, A., Marchiori, S., Mazzola, P., Medagli, P., Merloni, N., Palla, M. F., Passalacqua, N. G., Peccenini, S., Pellizzari, M., Piccoli, F., Poldini, L., Prosser, F., Ranfa, A., Siniscalco, C., Soldano, A., Tornadore, N., Uzunov, D., Viegi, L., Vidali, M., Villani, M. C., and Wilhalm, T.

Published
2010

5. Flora vascolare alloctona d'Italia

Author

Blasi, C., CELESTI GRAPOW, L., Pretto, F., Accogli, R., Alessandrini, A., Arrigoni, P. V., Assini, S., Banfi, E., Barni, E., Bernardo, L., Boracchia, M., Bovio, M., Bracchi, G., Brundu, G., Brusa, G., Cagiotti, M. R., Camarda, I., Carli, E., Carlin, S., Carta, L., Conti, Fabio, DE MATTEI, R., DEL GUACCHIO, E., DI TURI, A., Domina, G., Fascetti, S., Ferretti, G., Galasso, G., Gangale, C., Gariboldi, L., Gubellini, L., LA VALVA, V., Lattanzi, E., Lucchese, F., Manca, M., Manzi, A., Marchiori, S., Mazzola, P., Medagli, P., Merloni, N., Palla, M. F., Passalacqua, N. G., Peccenini, S., Pellizzari, M., Piccoli, F., Poldini, L., Prosser, F., Ranfa, A, Siniscalco, C., Soldano, A., Tornadore, N., Uzunov, D., Vidali, M., Viegi, L., Villani, M. C., and Wilhalm, T.

Published
2010

6. Flora vascolare alloctona e invasiva delle regioni d’Italia

Author

Accogli, 1. 5. 1. R., Albano, A., Alessandrini, A., Arrigoni, P. V., Assini, S., Banfi, E., Barni, E., Bernardo, L., Blasi, C., Bodesmo, M., Boracchia, M., Bovio, M., Bracchi, G., Bracco, F., Brundu, G., Brusa, G., Cagiotti, M. R., Camarda, I., Carli, E., Carlin, S., Carta, L., Celesti Grapow, L., Comin, S., Conti, F., De Mattei, R., Del Guacchio, E., Di Turi, A., Domina, G., Fascetti, S., Ferretti, G., Galasso, G., Gangale, C., Gariboldi, L., Gubellini, L., La Valva, V., Landucci, F., Lattanzi, E., Lucchese, F., Manca, M., Manzi, A., Marchiori, S., Marcucci, R., Marinangeli, F., Mazzola, P., Medagli, P., Mele, C., Merloni, N., Palla, M. F., Passalacqua, N. G., Peccenini, Simonetta, Pellizzari, M., Piccoli, F., Pinzi, M., Poldini, L., Pretto, F., Prosser, F., Ranfa, A., Siniscalco, C., Soldano, A., Tornadore, N., Uzunov, D., Vidali, M., Viegi, L., Villani, M. C., and Wilhalm, T.

Published
2010

8. SATELLITE AND UNMANNED AERIAL VEHICLE DATA FOR THE CLASSIFICATION OF SAND DUNE VEGETATION

Author

N. Merloni, Maurizio Barbarella, Floriano Goffo, Marco Dubbini, Nicolas Greggio, M. De Giglio, De Giglio, M., Goffo, F., Greggio, N., Merloni, N., Dubbini, M., and Barbarella, M.

Subjects
lcsh:Applied optics. Photonics, 010504 meteorology & atmospheric sciences, Vegetation classification, Geography, Planning and Development, Multispectral image, Image processing, Information System, 010502 geochemistry & geophysics, 01 natural sciences, lcsh:Technology, Sand dune stabilization, Object-based classification, Pixel-based classification, 0105 earth and related environmental sciences, Remote sensing, Sand dune, Pixel, lcsh:T, Orthophoto, lcsh:TA1501-1820, Unmanned aerial vehicle, Coastal vegetation, WorldView2, Habitat, lcsh:TA1-2040, Threatened species, lcsh:Engineering (General). Civil engineering (General), Geology
Abstract

Within coastal systems, sand dunes are the only natural barriers able to counteract erosive processes. Since their equilibrium is often threatened by human activities and high vulnerability of the coastal environment, dunes require increasing attention and specific monitoring. Located between the mainland and the sea, dunes are unique residue habitats for some plant and animal species. In particular, their vegetation is important because it has a consolidation function and promotes the vertical dune accretion. A georeferenced vegetation classification can be useful to define the advancements or erosion stage of the dune, usually based only on the geometric reconstruction. The proposed study aims to compare the classifications performed with some combinations of two of the last generation sensors and traditional image processing techniques. High spectral resolution satellite image (WorldView-2) and a multispectral orthophoto, obtained from data acquired by an unmanned aerial vehicle, were used. Objects and pixel algorithms were applied and the results were compared by a statistical test. Using the same bands, the findings show that both data are suitable for monitoring the evolutionary dune status. Specifically, the WorldView-2 pixel-based classification and UAV object-based classification provide the same accurate results.

Published
2017

9. Comparison of Pixel- and Object-Based Classification Methods of Unmanned Aerial Vehicle Data Applied to Coastal Dune Vegetation Communities: Casal Borsetti Case Study

Author

Michaela De Giglio, Nicola Merloni, Marco Dubbini, Maurizio Barbarella, Nicolas Greggio, Floriano Goffo, De Giglio M., Greggio N., Goffo F., Merloni N., Dubbini M., and Barbarella M.

Subjects
010504 meteorology & atmospheric sciences, Dune, vegetation mapping, 0211 other engineering and technologies, 02 engineering and technology, 01 natural sciences, dunes, unmanned aerial system, pixel-based classification, object-based classification, lcsh:Science, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Ground truth, Pixel, Vegetation, Object (computer science), Class (biology), Statistical classification, Data Applied, General Earth and Planetary Sciences, lcsh:Q, Cartography, Geology, Level of detail
Abstract

Coastal dunes provide the hinterland with natural protection from marine dynamics. The specialized plant species that constitute dune vegetation communities are descriptive of the dune evolution status, which in turn reveals the ongoing coastal dynamics. The aims of this paper were to demonstrate the applicability of a low-cost unmanned aerial system for the classification of dune vegetation, in order to determine the level of detail achievable for the identification of vegetation communities and define the best-performing classification method for the dune environment according to pixel-based and object-based approaches. These goals were pursued by studying the north-Adriatic coastal dunes of Casal Borsetti (Ravenna, Italy). Four classification algorithms were applied to three-band orthoimages (red, green, and near-infrared). All classification maps were validated through ground truthing, and comparisons were performed for the three statistical methods, based on the k coefficient and on correctly and incorrectly classified pixel proportions of two maps. All classifications recognized the five vegetation classes considered, and high spatial resolution maps were produced (0.15 m). For both pixel-based and object-based methods, the support vector machine algorithm demonstrated a better accuracy for class recognition. The comparison revealed that an object approach is the better technique, although the required level of detail determines the final decision.

Published
2019

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