Journal of Coastal Zone Management

Abstract

Development of an Integrated SDSS for Coastal Risks Monitoring and Assessment

Greco Michele, Martino Giovanni, Guariglia Annibale, Trivigno Lucia, Sansanelli Vito and Losurdo Angela

The first results of the regional Operative Project (OP) “Implementation of hydraulic risk forecast and prevention system”, as part of the extended operative programme MATER aimed to develop a methodology for environmental and territorial analysis related to the exploitation of natural resources, are shown in the present paper. The main target deals with the development and implementation of a Spatial Decision Support System (SDSS) platform for coastal risk forecasting and prevention through the integration of multisource satellite data (Sentinel-1, Sentinel-2 and COSMO Sky Med) coupled with post processing open source hydrodynamic models. The processing results include the coastline and back-dune vegetation mapping, rocky coast movements detection as well as new landfills, buildings and spills derived by the implementation of innovative images segmentation techniques, multi-band change-detection and PSInSAR (Persistent Scattered Interferometric Synthetic Aperture Radar) typologies. The SDSS provides significant advantage of cyclical production and/or updating in phase with satellite data acquisition frequency. Further, through self-consistent applicative tools, provided with proper graphical interface developed in IDL and integrated in SDSS, it is possible to display and automatically extract the coastline sequence from Sentinel-1 data, compare two shoreline acquisitions, even if multi-sources, and calculate the coastal erosion and aggradation. Finally, some interoperable tools for morpho-hydrodynamic modelling assimilation have been developed and implemented in order to reproduce flooding risk scenarios for the coastal resilience assessment at different return time. For such a purpose, in the start-up phase, Delft3D (Deltares- NL) was employed for storm surge modelling, coastal morphological evolution and coastal inundation analyses. The SDSS is interconnected with a friendly and intuitive WebGIS compatible to the Regional Spatial Data Infrastructure.