Collection and extraction of water level information from a digital river camera image dataset
Sanita Vetra-Carvalho,
Sarah L. Dance,
David C. Mason,
Joanne A. Waller,
Elizabeth S. Cooper,
Polly J. Smith,
Jemima M. Tabeart
Affiliations
Sanita Vetra-Carvalho
Department of Meteorology, University of Reading, Earley Gate, Whiteknights Road, Reading RG6 6ET, United Kingdom
Sarah L. Dance
Department of Meteorology, University of Reading, Earley Gate, Whiteknights Road, Reading RG6 6ET, United Kingdom; Department of Mathematics and Statistics, University of Reading, Whiteknights, Pepper Lane, Reading RG6 6AX, United Kingdom; Corresponding author at: Department of Meteorology, University of Reading, Earley Gate, Whiteknights Road, Reading RG6 6ET, United Kingdom.
David C. Mason
Department of Geography and Environmental Science, University of Reading, Russell Building, Whiteknights, Pepper Lane, Reading RG6 6DR, United Kingdom
Joanne A. Waller
Department of Meteorology, University of Reading, Earley Gate, Whiteknights Road, Reading RG6 6ET, United Kingdom
Elizabeth S. Cooper
Department of Meteorology, University of Reading, Earley Gate, Whiteknights Road, Reading RG6 6ET, United Kingdom
Polly J. Smith
Department of Meteorology, University of Reading, Earley Gate, Whiteknights Road, Reading RG6 6ET, United Kingdom
Jemima M. Tabeart
Department of Mathematics and Statistics, University of Reading, Whiteknights, Pepper Lane, Reading RG6 6AX, United Kingdom; National Centre for Earth Observation (NCEO), Meteorology Building, University of Reading, Earley Gate, Whiteknights Road, Reading RG6 6ET, United Kingdom
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 extraction methods and for development of automatic flood alert methods and can provide valuable information in data assimilation systems used for improving inundation forecasts.