Flood Crowdsourcing and CCTV sites

by Sanita Vetra-Carvalho

Urban areas nowadays contain many observation networks such as CCTV cameras looking at buildings, streets, parking lots, rivers and traffic. Also, where there are people there are smartphone images,  which are another potential source of information that can be assimilated in urban flooding models to get more accurate flooding forecasts.

Increasing number of research teams and organisations are using this abundance of data and while much CCTV data is available as open data, smartphone images need to be collected from the community. Below we list the networks of CCTV data and crowdsourcing sites known to us for the areas we are interested in: London and the Thames Valley, Exeter, Newcastle, Leeds, Glasgow, and Tewkesbury. This list is not in any way extensive; if you know of further sites or webcams we would love to hear from you (email to: s.vetra-carvalho@reading.ac.uk)!

 

Traffic Webcams

London Traffic Cameras

Highway Traffic Cameras (England)

Leeds Traffic Cameras

Newcastle Traffic Cameras

M5 Southbound (inc. Exeter)

SouthWest Cameras (inc. Exeter)

 

River Watercams

Upper Thames Sailing Club (Cookham, Berkshire)

Farson Digital Watercams (UK wide)

Canal and Waterway list of watercams

 

Live CCTV Cameras

Exeter IP Cameras

 

Crowdsourcing sites

Met Office WoW site (UK wide)

FloodCrowd (UK wide)

Cobweb (EU wide)

 

Other useful flooding websites

Flood Map from Environmental Agency

National River Flow Archive

Loddon Valley Flood Action Group

 

 

 

Welcome

by Sarah Dance

Data Assimilation for the REsilient City (DARE) is a research project and network funded by an EPSRC Senior Fellowship in Digital Technology for Living with Environmental Change.

Data assimilation is an emerging mathematical technique for improving predictions from large and complex forecasting models, by combining uncertain model predictions with a diverse set of observational data in a dynamic feedback loop. The project will use advanced data assimilation to combine a range of advanced sensors with state-of-the-art computational models and produce a step-change in the skill of forecasts of urban natural hazards such as floods, snow, ice and heat stress. For more information about the research programme click here.

The Fellowship is held by Dr Sarah L. Dance at the University of Reading and she is working together with a team of other researchers and stakeholders. The Fellowship will influence the future research agenda for how digital technologies can be applied in new and transformative ways to help the human and natural environment be more resilient and adaptable to climate change. In addition to an innovative research programme,  Dr Dance is acting as a Champion for this area, developing outreach activities to other researchers, policy makers and industry through workshops, networks and other mechanisms.