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In the last decades, combinations of natural and human factors\udhave resulted in extensive morphological changes to our coastlines and in\udmany cases have amplified erosion. In order to limit these changes and their\udimpact on coastal zone, it is important to plan specific actions; for this\udpurpose detailed cognizance of coastal zone is necessary. Different and\udheterogeneous data such as historical and recent maps, remotely sensed\udimages and topographic survey result very useful to reconstruct temporal\udshoreline changes. In this study the attention is focalized on Domitian coastal\udzone (Italy), which is one of the most emblematic examples of coastal erosion\udin Europe. Study of the shoreline evolution in this area between 1876 and\ud2005 was used as the starting point of the present paper that investigates over\uda span of seven years (2005 to 2012), by using remotely sensed data. The aim\udis to adapt and integrate geomatics techniques to transform very high\udresolution satellite images in powerful tools to analyse coastline changes. So,\udin order to identify eroded and added areas, IKONOS-2 (2005), GeoEye-1\ud(2011) and WorldView-2 (2012) imageries are compared. These data-sets\udwere re-georeferred to improve the positional accuracy. More over\udNormalized Difference Water Index (NDWI) was applied to pan-sharpened\udmultispectral images to facilitate coastline vectorising at the same\udgeometric resolution of panchromatic data. In addition, variance\udpropagation was considered to establish the accuracy of the reconstruction\udof coastal evolution. Added and eroded areas were defined and related to\udthe impact of the defence structures that were built in this zone in 2011

High Resolution Satellite Images to Reconstruct Recent Evolution of Domitian Coastline