RAISE Spoke 3 data RAISE Spoke 3 has developed a Decision Support System (DSS) to enable stakeholders and end-users to access, view and analyse a variety of environmental data via interactive dashboards.
Early warning gelatinous zooplankton
The dashboard supports Product 1.5 “Early warning system for gelatinous zooplankton detection and classification in touristic coastal areas”, which aims to develop a video-based early warning and decision support system for coastal marine areas with high tourism impact. It allows users to visualise and navigate data collected by various environmental monitoring systems, including marine characterisation data and images from the GUARD-1® devices, as well as predictive models for particle distribution. This integrated view enables users to analyse real-time observations alongside forecast scenarios, ensuring a clear understanding of current environmental conditions and their expected evolution.
Early warning necton
The dashboard supports Product 1.6 “Early warning system for nectonic biomass flows in coastal marine areas with strong mussel farming activity”, that uses the intelligent and autonomous imaging device GUARD-1®, capable to acquire, process and transmit underwater images. The acquired images are automatically processed on-board the device by AI-based tools to detect and count the fish specimens. This information is used to automatically extract abundance time series that are transferred to the RAISE server together the acquired images. Such time series are then correlated to multi-parametric physical and biochemical data acquired by an underwater network of sensors distributed in the Gulf of La Spezia.
Early warning nectonic and gelatinous zooplankton
To enable comprehensive access to all data collected by the GUARD-1® devices used within Products 1.5 and 1.6, a dedicated dashboard has been developed.
The dashboard allows users to explore both real-time and recorded visual data, assess image quality, and analyse detected features. It provides an intuitive interface for visual inspection, monitoring, and evaluation, supporting marine research, environmental monitoring, and operational inspection activities. This service is intended for consultation by end users, including local stakeholders such as fish farmers in La Spezia, providing them with direct access to the imaging results relevant to their activities.
Satellite monitoring
The dashboard has been developed to visualise the results of Product 1.7 “Satellite Water Coastal Monitoring” derived from the estimation of chlorophyll-a (CHL‑a) concentration and sea surface temperature (SST) for the coastal areas of La Spezia and Portofino. These results are obtained as the output of a machine learning model trained on multispectral data from twelve bands of the Sentinel‑2 mission, part of the Copernicus Programme of the European Union. Through the dashboard, users can explore spatial maps of CHL‑a and SST, analyse temporal trends, and compare conditions across different areas and time periods.
Distributed monitoring
The dashboard for Product 1.12 “Distributed space/time monitoring system based on AI-guided robots with innovative sensors and adaptive monitoring strategies (INTEGRATED PRODUCT)” is designed to provide a comprehensive and integrated visualisation of all data transmitted by the different environmental monitoring technologies and the outputs of the operational meto-marine forecasting models. This integrated view enables users to analyse real-time observations alongside predictive scenarios, ensuring a clear understanding of current environmental conditions and their expected evolution.
Wind dispersion
The dashboard for Product 2.3 “Dashboard DB and mission control system” is an interactive tool that allows users to simulate and visualise the dispersion of particle (e.g. pollutants) in the air. The exploratory environment enables the user to select a point within the basin, configure simulation parameters (the number and dimension of particles and the release area), and observe the temporal evolution of the dispersion as it follows wind.
Seismic shaking
The dashboard supports Product 3.1 “Automatic procedure for near real-time mapping of seismic shaking and associated consequences at the urban scale” and the improvement of seismic risk management by enabling the generation of damage scenarios at the urban scale. The interactive nature of the dashboard allows users (for example, emergency planning managers or public authorities) to build customised scenarios by combining different assumptions regarding the level of detail of the available input data. Assessing the sensitivity of the results to variations in input data can help stakeholders make informed decisions on how to allocate resources more effectively, for instance by improving the knowledge of specific components or by implementing mitigation policies aimed at directly reducing vulnerability or exposure.
Coastal erosion
The dashboard enables the visualisation of the results from Product 6.1 “Storm surges early warning system by developing a machine learning model” and Product 6.2 “Realization of a combined camera and 1D laser scanner system (linear) for an early warning system of storm surges”, particularly the simulations of the impacts of historical extreme storm events (SE and SW) on coastal areas and the associated dynamics. Specifically, it is possible to view estimates of the maximum inland penetration of water along the coast, water levels under extreme conditions, and the wave run-up along the coast of Camogli, taking into account storm waves (wave set-up). This approach allows for the definition of offshore wave conditions that may represent potential hazards to coastal infrastructure and public safety
Citizen science
The data obtained through citizen science (Project 11 “Development of innovative Technologically Assisted Citizen Science Systems – TACS”) initiatives encompass a variety of environmental measurements, observations and records collected by non‑professional contributors. These contributions may include geolocated environmental observations, photographic documentation, and sensor‑based measurements collected using mobile applications or other participatory monitoring tools. By engaging local communities directly in data collection, citizen science initiatives expand the spatial and temporal coverage of environmental data and provide valuable ground‑level insights that complement traditional data sources.
Marine models
The dashboard provides visualisation of hydrodynamic models related to marine environments. Users can explore simulations of wave, currents, temperatures, salinity, and other oceanographic parameters across specific regions.
Wheather models
The dashboard displays meteorological model outputs, including wind, precipitation, and temperature forecasts, allowing the integration of environmental conditions into project analyses.
Metocean models
The dashboard integrates the marine and weather models into a unified interface, enabling joint visualisation and correlation of atmospheric and oceanographic data, facilitating comprehensive environmental assessments.
Sea dispersion (basic versions)
The dashboard allows the visualisation and prediction of particle dispersion at sea based on a semplified numerical models, supporting environmental monitoring, emergency response actions, and scenario exploration related to the accidental release of materials into the marine environment (e.g., unintentional pollutant discharges, marine litter, drifting objects).
Sea dispersion (advanced versions)
The dashboard allows the visualisation and prediction of particle dispersion at sea based on a more comprehensive physical models respect to based version, supporting environmental monitoring, emergency response actions, and scenario exploration related to the accidental release of materials into the marine environment (e.g., unintentional pollutant discharges, marine litter, drifting objects).
