Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/1962
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dc.contributor.authorallGuariglia, A.; GEOCART srl, Potenza, Italyen
dc.contributor.authorallBuonamassa, A.; GEOCART srl, Potenza, Italyen
dc.contributor.authorallLosurdo, A.; GEOCART srl, Potenza, Italyen
dc.contributor.authorallSaladino, R.; GEOCART srl, Potenza, Italyen
dc.contributor.authorallTrivigno, M. L.; GEOCART srl, Potenza, Italyen
dc.contributor.authorallZaccagnino, A.; GEOCART srl, Potenza, Italyen
dc.contributor.authorallColangelo, A.; GEOCART srl, Potenza, Italyen
dc.date.accessioned2006-12-07T14:38:53Zen
dc.date.available2006-12-07T14:38:53Zen
dc.date.issued2006-02en
dc.identifier.urihttp://hdl.handle.net/2122/1962en
dc.description.abstractCoastal dynamics are driven by phenomena of exogenous and endogenous nature. Characterizing factors that influence their equilibrium and continuous monitoring are fundamental for effective environmental planning and management of coastal areas. In order to monitor shoreline changes, we developed a methodology based on a multisource and multitemporal approach. A database, related to the Ionian coast of Basilicata region (about 50 km), was implemented by using cartographic data (IGMI data), satellite imagery (SPOT-PX/XS, Landsat-TM, Corona) and aerial data covering the period form 1949 to 2001. In particular, airborne data (1 m spatial resolution) were acquired during a specific campaign we performed in 2000 and 2001. To obtain the best performance from the available data, we applied a data fusion procedure on visible and thermal information. Different algorithms were tested, such as band ratios and clustering for extracting the coastline. The best results from multispectral data were obtained using a threshold algorithm we devised by exploiting the green, red and NIR bands, whereas for panchromatic data we selected clustering as the more suitable method. Moreover, a GPS survey was performed to evaluate the influence of tidal effects.en
dc.format.extent6407225 bytesen
dc.format.mimetypeapplication/pdfen
dc.language.isoEnglishen
dc.relation.ispartofseries1/49 (2006)en
dc.subjectcoastline mappingen
dc.subjectsatelliteen
dc.subjectGPSen
dc.subjecttideen
dc.subjectmultitemporal analysisen
dc.titleA multisource approach for coastline mapping and identification of shoreline changesen
dc.typearticleen
dc.type.QualityControlPeer-revieweden
dc.subject.INGV04. Solid Earth::04.02. Exploration geophysics::04.02.05. Downhole, radioactivity, remote sensing, and other methodsen
dc.subject.INGV04. Solid Earth::04.04. Geology::04.04.03. Geomorphologyen
dc.relation.referencesADAMS, J.B., D. SABOL, V. KAPOS, R. ALMEIDA FILHO, D.A. ROBERTS, M.O. SMITH and A.R. GILLESPIE (1995): Classification of multispectral images based on fractions of endmembers: Application to land-cover change in the Brazilian Amazon, Remote Sensing Environ., 52, 137-154. BABAN, S.J. (1997): Environmental monitoring of estuaries; estimating and mapping various environmental indicators in Breydon Water Estuary, U.K., using Landsat TM imagery, Estuarine Coastal Shelf Sci., 44, 589- 598. BONORA, N., F. IMMORDINO, C. SCHIAVI, U. SIMEONI and E. VALPREDA (2002): Interaction between Catchment Basin Management and Coastal Evolution (Southern Italy), J. Coastal Res., 36, 81-88. BRAUD, D.H. and W. FENG (1998): Semi-automated construction of the Louisiana coastline digital land/water boundary using Landsat Thematic Mapper satellite imagery (Department of Geography and Anthropology, Louisiana State University, Louisiana Applied Oil Spill Research and Development Program), OSRAPD Tech. Rep. Ser. 97-002. CRACKNELL, A.P. (1999): Remote sensing techniques in estuaries and coastal zone-an update, Int. J. Remote Sensing, 19 (3), 485-496. ERKKILA, A. and R. KALLIOLA (2004): Patterns and dynamic of coastal water in multi-temporal satellite images: support to water quality monitoring in the Arcipelago Sea, Finland, Estuarine Coastal Shelf Sci., 60 (2), 165- 167. FRAZIER, P.S. and K.J. PAGE (2000): Water body detection and delineation with Landsat TM data, Photogramm. Eng. Remote Sensing, 66 (2), 1461-1467. ISMES SpA (1987): Piano di Bacino Interregionale del Fiume Sinni, vol. 2, 107-109. KEVIN, W. and H.M. EL ASMAR (1999): Monitoring changing position of coastlines using thematic mapper imagery, an example from the Nile Delta, Geomorfology, 29, 93-105. LILLESAND, T.M. and R.W. KIEFER (1987): Remote Sensing and Image Interpretation (John Wiley, Chichester), pp. 697. MARSICANO, D. and A. TRIVISANI (1996): Metaponto una costa da salvare, Basilicata Regione Notizie, 1, 19-20. MASTRONUZZI, G. (1996): Il litorale settentrionale del golfo di Taranto: evoluzione morfologica e dinamica attuale, Basilicata Regione Notizie, 1, 27-32. MILLINGTON, A.C., S.J. WALSH and P.E. OSBORNE (Editors) (2001): GIS and Remote Sensing Applications in Biogeography and Ecology (Kluwer Academic Publishers, Boston), pp. 344. NAYAK, S. (2000): Critical issues in coastal zone management and role of remote sensing, in Subtle Issues in Coastal Management (Indian Institute of Remote Sensing, Dehradun), 77-98. NOAA (1982): Computer applications to tides in the national ocean survey, supplement to the «Manual of Harmonic Analysis and Prediction of Tides», U.S. Department of Commerce, National Ocean Service (National Oceanic and Atmospheric Administration), Spec. Publ. No. 98. RYU, J.H., J.S. WON and K. DUCK MIN (2002): Waterline extraction from Landsat TM data in a tidal flat. A case study in Gomso Bay, Korea, Remote Sensing Environ., 83, 442-456. SAN MIGUEL-AYANZ, J. and G.S. BIGING (1997): Comparison of single-stage and multi-stage classification approaches for cover type mapping with TM and SPOT data, Remote Sensing Environ., 59, 92-104. SIDDIQUI, M.N. and S. MAAJID (2004): Monitoring of geomorphological changes for planning reclamation work in coastal area of Karachi, Pakistan, Adv. Space Res., 33, 1200-1205. SPILOTRO, G., M. DI BRATTO, G. CECILIA and G. LEANDRO, (1999): Evoluzione recente del litorale alto Ionico compreso tra Foce Sinni e Foce Bradano (LaTIBI University of Basilicata), Final Report (on line http://www.latibi. unibas.it/prodotti/rapporti/17rapp01/). USTUN, B., S. EKERCIN and N. MUSAOGLU (2004): A performance analysis of the classification and manual digiting methods for the detection of coast line by using satelllite image data, in Remote Sensing in Transition, edited by R. GOOSSENS (Millpress, Rotterdam), 143- 148.en
dc.description.journalTypeJCR Journalen
dc.description.fulltextopenen
dc.contributor.authorGuariglia, A.en
dc.contributor.authorBuonamassa, A.en
dc.contributor.authorLosurdo, A.en
dc.contributor.authorSaladino, R.en
dc.contributor.authorTrivigno, M. L.en
dc.contributor.authorZaccagnino, A.en
dc.contributor.authorColangelo, A.en
dc.contributor.departmentGEOCART srl, Potenza, Italyen
dc.contributor.departmentGEOCART srl, Potenza, Italyen
dc.contributor.departmentGEOCART srl, Potenza, Italyen
dc.contributor.departmentGEOCART srl, Potenza, Italyen
dc.contributor.departmentGEOCART srl, Potenza, Italyen
dc.contributor.departmentGEOCART srl, Potenza, Italyen
dc.contributor.departmentGEOCART srl, Potenza, Italyen
item.openairetypearticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
crisitem.author.deptGEOCART srl, Potenza, Italy-
crisitem.author.deptGEOCART srl, Potenza, Italy-
crisitem.author.deptGEOCART srl, Potenza, Italy-
crisitem.author.deptGEOCART srl, Potenza, Italy-
crisitem.author.deptGEOCART srl, Potenza, Italy-
crisitem.author.deptGEOCART srl, Potenza, Italy-
crisitem.author.deptGEOCART srl, Potenza, Italy-
crisitem.classification.parent04. Solid Earth-
crisitem.classification.parent04. Solid Earth-
Appears in Collections:Annals of Geophysics
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