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Image analysis techniques to estimate river discharge using time-lapse cameras in remote locations

Young, David S., Hart, Jane K. and Martinez, Kirk (2015) Image analysis techniques to estimate river discharge using time-lapse cameras in remote locations Computers & Geosciences, 76, pp. 1-10. (doi:10.1016/j.cageo.2014.11.008).

Record type: Article

Abstract

Cameras have the potential to provide new data streams for environmental science. Improvements in image quality, power consumption and image processing algorithms mean that it is now possible to test camera-based sensing in real-world scenarios. This paper presents an 8-month trial of a camera to monitor discharge in a glacial river, in a situation where this would be difficult to achieve using methods requiring sensors in or close to the river, or human intervention during the measurement period. The results indicate diurnal changes in discharge throughout the year, the importance of subglacial winter water storage, and rapid switching from a “distributed” winter system to a “channelised” summer drainage system in May. They show that discharge changes can be measured with an accuracy that is useful for understanding the relationship between glacier dynamics and flow rates.

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More information

e-pub ahead of print date: 25 November 2014
Published date: March 2015
Keywords: remote sensing, river discharge, glacial melt, time-lapse camera, image analysis, flow rate monitoring
Organisations: Web & Internet Science, Earth Surface Dynamics

Identifiers

Local EPrints ID: 372550
URI: http://eprints.soton.ac.uk/id/eprint/372550
ISSN: 0098-3004
PURE UUID: 41d145a8-6eb4-4ccb-b5c2-59f223d9a775
ORCID for Jane K. Hart: ORCID iD orcid.org/0000-0002-2348-3944
ORCID for Kirk Martinez: ORCID iD orcid.org/0000-0003-3859-5700

Catalogue record

Date deposited: 16 Dec 2014 10:33
Last modified: 17 Jul 2017 21:40

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Contributors

Author: David S. Young
Author: Jane K. Hart ORCID iD
Author: Kirk Martinez ORCID iD

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