marine Pollution Monitering System Using Bouy and remote sensing sattellite
Space view has presented the idea of accessing sea water pollution in sbooster 2021
Continues monitering of sea water pollution and analysis using remote sensing satellites
Sea monitoring is considered one important task under the umbrella of earth sustainability. Several research works propose different solutions for sea monitoring.
For instance, the SeaMonitor project, funded by the EU, the first of its kind in Europe, studies the seas around Ireland, Western Scotland and Northern Ireland was launched in Derry~Londonderry. The SeaMonitor project is led by the Loughs Agency and supported by another eight leading marine research institutions using innovative marine species tracking technology to better understand and protect vulnerable marine life in our oceans. It will deliver Europe’s largest telemetric marine array and spatial models supporting the conservation of basking shark, cetaceans, salmon, seals and skate. (Loughs Agency, 2019).
Another project coordinated by the French Research Institute for Exploitation of the Sea (IFREMER), called: Joint European Research Infrastructure of Coastal Observatories: Science, Service, Sustainability (JERICO-S3). It aims to provide services for the delivery of high quality environmental data, access to solutions and facilities as services for researchers and users, create product prototypes for EU marine core services and users, and support excellence in marine coastal research to better answer societal and policy needs. (Marine Institute, n.d.)
The data collected from our platform are processed to monitor the ocean’s temperature and acidification. The nature of the sea or ocean is modeled as a stochastic dynamic that is distributed through space and time. The challenge faced is how to distribute a limited number of sensors which are not enough to cover a wide space of the sea at any given moment of time in order to measure the temperature and acidification.
A predictive model is adopted in order to estimate the unknown variables. The model is based on a mathematical tool called the Evolving Gaussian Process (E-GP) with a data fusion. Using single and multifidelity E-GP, confidence limits of coastal data can be established and furthermore a comprehensive multi-fidelity monitoring strategy that integrates satellite observation and insitu measurements can be designed.