Coastal fog detection using visual sensing
Zhang, Dian and Sullivan, Timothy and Gillespie, Randy and O'Connor, Noel E. and Regan, Fiona (2015) Coastal fog detection using visual sensing. In: Oceans 2015, Genoa, Italy, 18-21 May 2015.
Full text available as:
Use of visual sensing techniques to detect low visibility conditions may have a number of advantages when combined with other methods, such as satellite based remote sensing, as data can be collected and processed in real or near real time. Camera-enabled visual sensing can provide direct confirmation of modelling and forecasting results. Fog detection, modelling and prediction are a priority for maritime communities and coastal cities due to economic impacts of fog on aviation, marine, and land transportation. Canadian and Irish coasts are particularly vulnerable to dense fog under certain environmental conditions. Offshore oil and gas production on Grand Bank (off the Canadian East Coast) can be adversely affected by weather and sea state conditions. In particular, fog can disrupt the transfer of equipment and people to/from the production platforms by helicopter. Such disruptions create delays and the delays cost money. According to offshore oil and gas industry representatives at a recent workshop on metocean monitoring and forecasting for the NL offshore, there is a real need for improved forecasting of visibility (fog) out to 3 days. The ability to accurately forecast future fog conditions would improve the industry’s ability to adjust its schedule of operations accordingly. In addition, it was recognized by workshop participants that the physics of Grand Banks fog formation is not well understood, and that more and better data are needed.
Archive Staff Only: edit this record