Impressive project main goals
The main goal of this project is to develop a universal-relocatable platform as a product for the real time management of marine pollution events in the wider area of harbors and the vicinities and the near coastal areas that are easy to manipulate and use from the control post at the harbor.
The product will be consisting of an integrated operational service that will rely on:
Satellite monitoring service
A satellite monitoring service that processes Sentinel 1, 2 and 3 satellite images and Copernicus Marine products to identify polluting events (oil spills, and waste-water discharges), to generate alerts and to provide their position and features in near real time.
A software package that once an event is located will provide forecast of its drift and fate, based on coupling between the pollutant fate and transport and the hydrodynamic numerical models, supporting decision making and the manoeuvring of the Autonomous vehicles with advanced positioning technologies.
A set of risk mapping product based on the integration of time series of remote sensing and models products.
To risk mapping we will used a new methodology based on complex network theory, developing a new way to analyze Big Data for Risk monitoring, forecasting and management, in real-time when needed, using time series analytics based network data analytics. We will apply the qualitative methods of complex network theory and scale invariance networks and examines the structure of the dataset and its evolution, studying the properties of a continuous space starting from a discrete sample of it, identifying noise and distinguishing higher- and lower- dimensional features. This will be done both in terms of the overall structure as well as its evolution.
Our methodology will allow us to investigate such properties as the given network’s complexity, its vulnerabilities to failure due to over-capacity and catastrophic break-downs, this information will allow us to develop crisis management and mitigation strategies.
Autonomous Surface Vehicles
A set of specifically designed Autonomous Surface Vehicles (ASVs), a drone equipped with remote sensing instruments and a sampler device on board the ASVs that will be remotely operated from the Headquarter Control Post for operational monitoring missions and/or accidental/illegal oil spills and other polluting events. Once the problem is reported, the vehicles may be deployed to target and support monitoring and sampling tasks on the ground. Vehicles will be also useful to couple/validate the output forecasts of the marine pollution model and the hydrodynamic numerical model.
This product will be accompanied by an action protocol and will be tested and validated as a operational pilot (demo), and in accordance with the standards, in Puerto de la Luz (Gran Canaria) and at two other European ports, Taranto port (Italy) and Rafina port (Greece). They will also support/improve the decision-making protocol during any particular event that may occur inside or outside the harbor.
Rapid-response integrated system
A local rapid-response integrated system of near real time satellite/ASV/drone/model/Forecast/risk mapping survey information and products, to support/improve the decision making process in any particular spilling event that may occur inside or outside the harbor or in a near coastal areas.
Impressive oil spill and waste water monitoring platform
Discover our integrated solution for oil spill monitoring and control in harbors and their surrounding waters, a cloud platform designed for port authorities.
The major goal of this innovation action is the development of remotely operated sophisticated tools integrated with very high resolution models and EO products for pollution control in harbors and coastal areas; a graduated system of alert that will help to cope with and as quickly as possible.
This major goal breaks down into a number of objectives each of one constituting a piece of the final product that will integrate all the elements in a unique platform.
To integrate EO observation technologies (satellite, ASV, UAV) supported by positioning (manoeuvring of autonomous vehicles) and ICT technologies (RESTful Web services, document type database such as MongoDB capable of transact with datasets of huge size) for an innovative platform for marine pollution monitoring in and in the vicinity of ports.
To develop modules for down streaming Sentinel 1, 2 and 3 data and Copernicus Marine products for the ports of interest and for oil spills and other polluting events (waste waters) detection and alerts. The suspicious formations on the image will be classified by an expert system (fuzzy classified). Radiometric fingerprints data of the targeted spills and the direct observation with browse/visible/IR images will be also exploited for early report with a certain level of confidence regarding identification and geolocation. They will be assigned a level of confidence that they are oil spills or other chemical polluting events. When this is above a certain threshold, the subsequent procedures of IMPRESSIVE will be triggered via classification of alarms.
To build a validated drone-based monitoring system and design/construction of two remotely operated Autonomous Surface Vehicles (ASVs) as well as UAV (drones) prototypes for on-the-ground and air-based pollution monitoring. This includes reporting, tracking and sampling the polluted waters. Deployments and complete tests on the vehicles´ performance are planned in La Luz Port (Spain), as well as partial tests in Taranto Port (Italy).
To set-up high-resolution (e.g. up to 10 meters horizontal resolution) and three dimensional fully baroclinic hydrodynamic models at harbor scale based on downscaling up to metric resolution CMEMS products such as the Iberian-Biscay-Ireland Regional Seas and Mediterranean seas. Three harbors will be modelled as pilot areas: La Luz Port (Spain), Taranto Port (Italy), and Rafina Port (Greece).
To implement a marine pollution forecasting system in harbors (and their vicinity) derived from the coupling between the downscaled hydrodynamic models and pollution advection diffusion models. The forecasting system will be validated with radiometric and video images obtained from a remotely operated flying drone.
To develop risk mapping tools based on the integration of time series of remote sensing and pollution modelling products.
To design and develop a platform integrating set-ups 1-4. To realize the platform as a scalable service, which includes different levels of processing at different acquisition frequencies and variable resolution, starting from a coarse level towards the fine level, with a cascaded approach that follows the information provided by the data. To provide also a mobile version of the front-edge of the platform for enhanced mobility purposes and easy remote access of the information. The system will be tested in three harbors as pilot areas: La Luz Port (Spain), Taranto Port (Italy), and Rafina Port (Greece).
To disseminate extensively IMPRESSIVE integrated platform and further to exploit the project outputs towards the targeted market and according to the initial business plan set up in the proposal that will be further ameliorated and enhanced during the project through the interactions with the End Users.
To involve suitable End Users so that the IMPRESSIVE integrated platform meets their needs and requirements in order to ensure it is seamlessly integrated with their workflow and environment, supporting the reduction of pollutants, improving the quality of waters and providing greater access and information to citizens.