Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/1962
AuthorsGuariglia, A.* 
Buonamassa, A.* 
Losurdo, A.* 
Saladino, R.* 
Trivigno, M. L.* 
Zaccagnino, A.* 
Colangelo, A.* 
TitleA multisource approach for coastline mapping and identification of shoreline changes
Issue DateFeb-2006
Series/Report no.49/1
URIhttp://hdl.handle.net/2122/1962
Keywordscoastline mapping
satellite
GPS
tide
multitemporal analysis
Subject Classification04. Solid Earth::04.02. Exploration geophysics::04.02.05. Downhole, radioactivity, remote sensing, and other methods 
04. Solid Earth::04.04. Geology::04.04.03. Geomorphology 
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.
Appears in Collections:Annals of Geophysics

Files in This Item:
File Description SizeFormat 
33 Guariglia.pdf6.26 MBAdobe PDFView/Open
Show full item record

Page view(s)

387
Last Week
4
Last month
checked on Jun 28, 2017

Download(s)

1,746
checked on Jun 28, 2017

Google ScholarTM

Check