Image analysis techniques to estimate river discharge using time-lapse cameras in remote locations
Image analysis techniques to estimate river discharge using time-lapse cameras in remote locations
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.
remote sensing, river discharge, glacial melt, time-lapse camera, image analysis, flow rate monitoring
1-10
Young, David S.
05bfdb8c-9675-470a-9dcb-5af247e1b4ca
Hart, Jane K.
e949a885-7b26-4544-9e15-32ba6f87e49a
Martinez, Kirk
5f711898-20fc-410e-a007-837d8c57cb18
March 2015
Young, David S.
05bfdb8c-9675-470a-9dcb-5af247e1b4ca
Hart, Jane K.
e949a885-7b26-4544-9e15-32ba6f87e49a
Martinez, Kirk
5f711898-20fc-410e-a007-837d8c57cb18
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, .
(doi:10.1016/j.cageo.2014.11.008).
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.
Text
acceptedAuthorManuscript.pdf
- Accepted Manuscript
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
Catalogue record
Date deposited: 16 Dec 2014 10:33
Last modified: 15 Mar 2024 02:53
Export record
Altmetrics
Contributors
Author:
David S. Young
Author:
Kirk Martinez
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics