High Resolution Satellite Images to Reconstruct Recent Evolution of Domitian Coastline

In the last decades, combinations of natural and humanfactors have resulted in extensive morphological changes to our coastlines andin many cases have amplified erosion. In order to limit these changes and theirimpact on coastal zone, it is important toplan specific actions; for this purpose detailed cognizance of coastal zone isnecessary. Different and heterogeneous data such as historical and recent maps,remotely sensed images and topographic survey result very useful to reconstructtemporal shoreline changes. In this study the attention is focalized onDomitian coastal zone (Italy), which is one of the most emblematic examples ofcoastal erosion in Europe. Study of the shoreline evolution in this areabetween 1876 and 2005 was used as the starting point of the present paper that investigatesover a span of seven years (2005 to 2012), by using remotely sensed data. Theaim is to adapt and integrate geomatics techniques to transform very highresolution satellite images in powerful tools to analyse coastline changes. So,in order to identify eroded and added areas, IKONOS-2 (2005), GeoEye-1 (2011)and WorldView-2 (2012) imageries are compared. These data-sets were re-georeferredto improve the positional accuracy. More over Normalized Difference Water Index(NDWI) was applied to pan-sharpened multispectral images to facilitatecoastline vectorising at the same geometric resolution of panchromatic data. Inaddition, variance propagation was considered to establish the accuracy of thereconstruction of coastal evolution. Added and eroded areas were defined andrelated to the impact of the defence structures that were built in this zone in2011.

[1]  A. Vallario,et al.  Modelli tematici 3D della copertura del suolo a partire da DTM e immagini telerilevate ad alta risoluzione WorldView-2 , 2014 .

[2]  Using the Landsat 7 Enhanced Thematic Mapper Tasseled Cap Transformation to Extract Shoreline (March 2003) , 2003 .

[3]  Antonio Wolf,et al.  Using WorldView 2 Vis-NIR MSI Imagery to Support Land Mapping and Feature Extraction Using Normalized Difference Index Ratios , 2011 .

[4]  Y. Zhang,et al.  A new merging method and its spectral and spatial effects , 1999 .

[5]  Ian L Turner,et al.  Shoreline Definition and Detection: A Review , 2005 .

[6]  P. Frazier,et al.  Water body detection and delineation with Landsat TM data. , 2000 .

[7]  R. Santamaria,et al.  Synthetic Sensor of Landsat 7 ETM + Imagery to Compare and Evaluate Pan-sharpening Methods , 2014 .

[8]  Antonio F. Wolf,et al.  Using WorldView-2 Vis-NIR multispectral imagery to support land mapping and feature extraction using normalized difference index ratios , 2012, Defense + Commercial Sensing.

[9]  Hanqiu Xu Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery , 2006 .

[10]  Essa Basaeed,et al.  Pixel level fusion methods for remote sensing images: a current review , 2010 .

[11]  Manuel A. Aguilar,et al.  GeoEye-1 and WorldView-2 pan-sharpened imagery for object-based classification in urban environments , 2013 .

[12]  P. Gong,et al.  Comparison of IKONOS and QuickBird images for mapping mangrove species on the Caribbean coast of Panama , 2004 .

[13]  Sébastien Lefèvre,et al.  COASTLINE EXTRACTION IN VHR IMAGERY USING MATHEMATICAL MORPHOLOGY WITH SPATIAL AND SPECTRAL KNOWLEDGE , 2008 .

[14]  Tarig Ali,et al.  New methods for positional quality assessment and change analysis of shoreline features , 2003 .

[15]  Abd Manan Samad,et al.  Shoreline data extraction from QuickBird satellite image using semi-automatic technique , 2014, 2014 IEEE 10th International Colloquium on Signal Processing and its Applications.

[16]  Manuel A. Aguilar,et al.  PRELIMINARY RESULTS ON HIGH ACCURACY ESTIMATION OF SHORELINE CHANGE RATE BASED ON COASTAL ELEVATION MODELS , 2010 .

[17]  K. White,et al.  Monitoring changing position of coastlines using Thematic Mapper imagery, an example from the Nile Delta , 1999 .

[18]  T. D. Pippo,et al.  MORPHOLOGICAL CONTROL ON SEDIMENT DISPERSAL ALONG THE SOUTHERN TYRRHENIAN COASTAL ZONES (ITALY) , 2004 .

[19]  R. Santamaria,et al.  Increasing Geometric Resolution of Data Supplied by Quickbird Multispectral Sensors , 2013 .

[20]  S. K. McFeeters The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features , 1996 .

[21]  Claudio Parente,et al.  Coastline extraction using high resolution WorldView-2 satellite imagery , 2014 .

[22]  Claudio Parente,et al.  An object based approach for coastline extraction from Quickbird multispectral images , 2014 .

[23]  J. Vrabel,et al.  Multispectral Imagery Advanced Band Sharpening Study , 2000 .

[24]  R. Santamaria,et al.  Cartography and remote sensing for coastal erosion analysis , 2011, International Conference on Principles and Practice of Constraint Programming.

[25]  Kaichang Di,et al.  Digital Tide-Coordinated Shoreline , 2002 .

[26]  A. Valente,et al.  Coastal hazard assessment and mapping in Northern Campania, Italy , 2008 .