Use of a Raspberry-Pi Video Camera for Coastal Flooding Vulnerability Assessment: The Case of Riccione (Italy)

Coastal monitoring is strategic for the correct assessment of nearshore morphodynamics, to verify the effects of anthropogenic interventions for the purpose of coastal protection and for the rapid assessment of flooding vulnerability due to severe events. Remote sensing and field surveys are among t...

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Main Authors: Fabio Addona, Flavia Sistilli, Claudia Romagnoli, Luigi Cantelli, Tonino Liserra, Renata Archetti
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/14/7/999
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author Fabio Addona
Flavia Sistilli
Claudia Romagnoli
Luigi Cantelli
Tonino Liserra
Renata Archetti
author_facet Fabio Addona
Flavia Sistilli
Claudia Romagnoli
Luigi Cantelli
Tonino Liserra
Renata Archetti
author_sort Fabio Addona
collection DOAJ
description Coastal monitoring is strategic for the correct assessment of nearshore morphodynamics, to verify the effects of anthropogenic interventions for the purpose of coastal protection and for the rapid assessment of flooding vulnerability due to severe events. Remote sensing and field surveys are among the main approaches that have been developed to meet these necessities. Key parameters in the assessment and prevision of coastal flooding extensions, beside meteomarine characteristics, are the topography and slope of beaches, which can be extremely dynamic. The use of continuous monitoring through orthorectified video images allows for the rapid detection of the intertidal bathymetry and flooding threshold during severe events. The aim of this work was to present a comparison of different monitoring strategies and methodologies that have been integrated into repeated surveys in order to evaluate the performance of a new camera system. We used a low-cost camera based on Raspberry Pi called VISTAE (Video monitoring Intelligent STAtion for Environmental applications) for long-term remote observations and GNSS-laser tools for field measurements. The case study was a coastal tract in Riccione, Italy (Northern Adriatic Sea), which is the seat of nourishment interventions and of different types of underwater protection structures to combat coastal erosion. We performed data acquisition and analysis of the emerged beach and of the swash zone in terms of the intertidal bathymetry and shoreline. The results show a generally good agreement between the field and remote measurements through image processing, with a small discrepancy of the order of ≈0.05 m in the vertical and ≈1.5 m in the horizontal in terms of the root mean square error (RMSE). These values are comparable with that of current video monitoring instruments, but the VISTAE has the advantages of its low-cost, programmability and automatized analyses. This result, together with the possibility of continuous monitoring during daylight hours, supports the advantages of a combined approach in coastal flooding vulnerability assessment through integrated and complementary techniques.
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spelling doaj.art-2c4f388d98ad4a1eb5ce05bbfda9c7472023-12-01T00:18:23ZengMDPI AGWater2073-44412022-03-0114799910.3390/w14070999Use of a Raspberry-Pi Video Camera for Coastal Flooding Vulnerability Assessment: The Case of Riccione (Italy)Fabio Addona0Flavia Sistilli1Claudia Romagnoli2Luigi Cantelli3Tonino Liserra4Renata Archetti5School of Marine Science and Policy, University of Delaware, Newark, DE 19716, USADepartment of Biological, Geological, and Environmental Sciences, Università di Bologna, Via F. Selmi 3, 40126 Bologna, ItalyDepartment of Biological, Geological, and Environmental Sciences, Università di Bologna, Via F. Selmi 3, 40126 Bologna, ItalyDepartment of Biological, Geological, and Environmental Sciences, Università di Bologna, Via F. Selmi 3, 40126 Bologna, ItalyDepartment of Civil, Chemical, Environmental and Materials Engineering, Università di Bologna, Viale del Risorgimento 2, 40136 Bologna, ItalyDepartment of Civil, Chemical, Environmental and Materials Engineering, Università di Bologna, Viale del Risorgimento 2, 40136 Bologna, ItalyCoastal monitoring is strategic for the correct assessment of nearshore morphodynamics, to verify the effects of anthropogenic interventions for the purpose of coastal protection and for the rapid assessment of flooding vulnerability due to severe events. Remote sensing and field surveys are among the main approaches that have been developed to meet these necessities. Key parameters in the assessment and prevision of coastal flooding extensions, beside meteomarine characteristics, are the topography and slope of beaches, which can be extremely dynamic. The use of continuous monitoring through orthorectified video images allows for the rapid detection of the intertidal bathymetry and flooding threshold during severe events. The aim of this work was to present a comparison of different monitoring strategies and methodologies that have been integrated into repeated surveys in order to evaluate the performance of a new camera system. We used a low-cost camera based on Raspberry Pi called VISTAE (Video monitoring Intelligent STAtion for Environmental applications) for long-term remote observations and GNSS-laser tools for field measurements. The case study was a coastal tract in Riccione, Italy (Northern Adriatic Sea), which is the seat of nourishment interventions and of different types of underwater protection structures to combat coastal erosion. We performed data acquisition and analysis of the emerged beach and of the swash zone in terms of the intertidal bathymetry and shoreline. The results show a generally good agreement between the field and remote measurements through image processing, with a small discrepancy of the order of ≈0.05 m in the vertical and ≈1.5 m in the horizontal in terms of the root mean square error (RMSE). These values are comparable with that of current video monitoring instruments, but the VISTAE has the advantages of its low-cost, programmability and automatized analyses. This result, together with the possibility of continuous monitoring during daylight hours, supports the advantages of a combined approach in coastal flooding vulnerability assessment through integrated and complementary techniques.https://www.mdpi.com/2073-4441/14/7/999vulnerability mapscoastal floodingremote measurementsbeach surveysGNSSTLS
spellingShingle Fabio Addona
Flavia Sistilli
Claudia Romagnoli
Luigi Cantelli
Tonino Liserra
Renata Archetti
Use of a Raspberry-Pi Video Camera for Coastal Flooding Vulnerability Assessment: The Case of Riccione (Italy)
Water
vulnerability maps
coastal flooding
remote measurements
beach surveys
GNSS
TLS
title Use of a Raspberry-Pi Video Camera for Coastal Flooding Vulnerability Assessment: The Case of Riccione (Italy)
title_full Use of a Raspberry-Pi Video Camera for Coastal Flooding Vulnerability Assessment: The Case of Riccione (Italy)
title_fullStr Use of a Raspberry-Pi Video Camera for Coastal Flooding Vulnerability Assessment: The Case of Riccione (Italy)
title_full_unstemmed Use of a Raspberry-Pi Video Camera for Coastal Flooding Vulnerability Assessment: The Case of Riccione (Italy)
title_short Use of a Raspberry-Pi Video Camera for Coastal Flooding Vulnerability Assessment: The Case of Riccione (Italy)
title_sort use of a raspberry pi video camera for coastal flooding vulnerability assessment the case of riccione italy
topic vulnerability maps
coastal flooding
remote measurements
beach surveys
GNSS
TLS
url https://www.mdpi.com/2073-4441/14/7/999
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