We present a new water level dataset extracted from images taken by four Farson Digital Ltd river cameras for a Tewkesbury, UK flood event (21st November – 5th December 2012). This data article presents the new water level data together with a description of metadata, data acquisition, and extraction methods. The water level information was extracted from the images using measured points in the field-of-view of each camera using Leica GNSS and Total Station instruments with high spatial accuracy of order of 1 cm. We use river gauge data to verify the new dataset. The new dataset has a short duration but includes the rising limb, peak discharge and falling limb of the flood event. It has potential for verifying future automatic water level e...
Floods are one of the most destructive natural disasters that threaten communities and properties. I...
Current state of the art computational fluid dynamics (CFD) and in particular, river flow modelling,...
This dataset contains high-resolution (5-minute) raw, atmospheric corrected and mean sea level adjus...
Monitoring river water levels is essential for the study of floods and mitigating their risks. River...
River level estimation is a critical task required for the understanding of flood events, and is oft...
This dataset contains: - The networks weights (weights.zip) that were obtained and used in our pap...
We investigate a deep transfer learning methodology to perform water segmentation and water level pr...
Rivers close to populated or strategically important areas can cause damages and safety risks to peo...
Floods are major natural disasters which cause deaths and material damages every year. Monitoring th...
The topography of many floodplains in the developed world has now been surveyed with high resolution...
This data article presents a rich original experimental video sources and wide collections of labora...
Flood control and water resources management require monitoring the water level in rivers and strea...
Floods are one of the most destructive natural disasters that threaten communities and properties. I...
Remote sensing from space-borne platforms is often seen as an appealing method of monitoring compone...
Flood events cause substantial damage to urban and rural areas. Monitoring water extent during large...
Floods are one of the most destructive natural disasters that threaten communities and properties. I...
Current state of the art computational fluid dynamics (CFD) and in particular, river flow modelling,...
This dataset contains high-resolution (5-minute) raw, atmospheric corrected and mean sea level adjus...
Monitoring river water levels is essential for the study of floods and mitigating their risks. River...
River level estimation is a critical task required for the understanding of flood events, and is oft...
This dataset contains: - The networks weights (weights.zip) that were obtained and used in our pap...
We investigate a deep transfer learning methodology to perform water segmentation and water level pr...
Rivers close to populated or strategically important areas can cause damages and safety risks to peo...
Floods are major natural disasters which cause deaths and material damages every year. Monitoring th...
The topography of many floodplains in the developed world has now been surveyed with high resolution...
This data article presents a rich original experimental video sources and wide collections of labora...
Flood control and water resources management require monitoring the water level in rivers and strea...
Floods are one of the most destructive natural disasters that threaten communities and properties. I...
Remote sensing from space-borne platforms is often seen as an appealing method of monitoring compone...
Flood events cause substantial damage to urban and rural areas. Monitoring water extent during large...
Floods are one of the most destructive natural disasters that threaten communities and properties. I...
Current state of the art computational fluid dynamics (CFD) and in particular, river flow modelling,...
This dataset contains high-resolution (5-minute) raw, atmospheric corrected and mean sea level adjus...