Accessibility navigation


Collection and extraction of water level information from a digital river camera image dataset

Vetra-Carvalho, S., Dance, S. L. ORCID: https://orcid.org/0000-0003-1690-3338, Mason, D. C., Waller, J. A., Cooper, E. S., Smith, P. J. and Tabeart, J. M. (2020) Collection and extraction of water level information from a digital river camera image dataset. Data In Brief. 106338. ISSN 2352-3409 (In Press)

[img] Text - Accepted Version
· Restricted to Repository staff only
· The Copyright of this document has not been checked yet. This may affect its availability.

1MB

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1016/j.dib.2020.106338

Abstract/Summary

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.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Archaeology, Geography and Environmental Science > Department of Geography and Environmental Science
Faculty of Science > School of Mathematical, Physical and Computational Sciences > National Centre for Earth Observation (NCEO)
Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Mathematics and Statistics
Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:93137
Uncontrolled Keywords:river cameras; water level observations; gauge data; flooding; inundation
Publisher:Elsevier

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation