SCACR2019 – International Short Course/Conference on Applied Coastal Research Engineering, Geology, Ecology & Management 9 th – 11 th September 2019 – Bari, Italy COASTAL VULNERABILITY ASSESSMENT THROUGH LOW-COST VIDEO MONITORING: THE CASE OF RICCIONE R. Archetti 1 , M.G. Gaeta 2 , F. Addona 3 , L. Cantelli 4 , C. Romagnoli 5 , F. Sistilli 6 and G. Stanghellini 7 Paper topic: Engineering, Geology, Ecology and Management 1. Introduction Video monitoring is a useful tool for a correct coastal management. It allows monitoring of the coastline evolution and risk analyses connected to storm surges (Holman et al., 2003), with the advantage to be synoptic and non-invasive. Video systems can provide long-term data, which are collected continuously in time and required for coastal vulnerability assessment (Takewaka and Nakamura, 2000; Davidson et al., 2004; Kroon et al., 2007; Van Koningsveld, 2007; Archetti, 2009). The standard systems normally sample once per hour and their final products can show variations of the observed parameters over different time scales (Plant and Holman, 1997; Holman and Stanley, 2007). The advantages of remote sensing through video systems favored a wide spread of this technique in coastal monitoring over the world for proper management of the coastal areas and for the setup of early warning systems (Archetti and Zanuttigh, 2010). The application of coastal monitoring systems is mainly for identification of the shoreline and its shift in response to waves regime, assessment and design of coastal protection structure and other practical purposes (Davidson et al., 2004; Turner et al., 2004; Archetti and Romagnoli, 2011), having large use also in research fields (Morris et al., 2001; Alexander and Holman, 2004; Almar et al., 2008, Archetti et al., 2016). We present here a study of a beach in Riccione (RN), Italy, through a low-cost video-monitoring system, where some unconventional prototypes were installed as coastal protection tools. 2. Materials and methods In this study, we make use of a low-cost monitoring technique in order to quantify the coastal erosion and flooding dynamics through image processing of the shoreline evolution and run-up, and to calibrate an evolution numerical model including the simulation of morphodynamics processes. The instrumentation consists of a Raspberry Pi and a camera with a maximum resolution of 8 MP (Figure 1). The Raspberry Pi is a small and affordable computer, which allows controlling the camera acquisition through a simple programming language. Figure 1. The credit-card-sized Raspberry Pi and its camera (projects.raspberrypi.org) 1 DICAM, University of Bologna, Viale Risorgimento, 2, Bologna 40136, Italy. renata.archetti@unibo.it 2 DICAM, University of Bologna, Viale Risorgimento, 2, Bologna 40136, Italy. g.gaeta@unibo.it 3 DICAM, University of Bologna, Viale Risorgimento, 2, Bologna 40136, Italy. fabio.addona@unibo.it 4 BIGEA, University of Bologna, Via Zamboni 67, Bologna 40126, Italy. luigi.cantelli@unibo.it 5 BIGEA, University of Bologna, P.zza Porta S. Donato, 1, Bologna 40126, Italy. claudia.romagnoli@unibo.it 6 BIGEA, University of Bologna, Via Zamboni 67, 1, Bologna 40126, Italy. flavia.sistilli2@unibo.it 7 ISMAR, CNR, Via Piero Gobetti, 101, Bologna 40129, Italy. giuseppe.stanghellini@bo.ismar.cnr.it