Observing river stages using unmanned aerial vehicles

Niedzielski, Tomasz; Witek, Matylda; Spallek, Waldemar

doi:https://doi.org/10.5194/hess-20-3193-2016

Articles | Volume 20, issue 8

https://doi.org/10.5194/hess-20-3193-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Geomorphometry: advances in technologies and methods for Earth...

https://doi.org/10.5194/hess-20-3193-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 20, issue 8

Research article

|

09 Aug 2016

Research article |

| 09 Aug 2016

Observing river stages using unmanned aerial vehicles

Tomasz Niedzielski, Matylda Witek, and Waldemar Spallek

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Final revised paper (published on 09 Aug 2016)
Preprint (discussion started on 01 Feb 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Observing river stages...', Anonymous Referee #1, 22 Feb 2016
- AC1: 'RESPONSES TO COMMENTS OFFERED BY THE REVIEWER #1 (review file: hess-2016-49-RC1.pdf)', Tomasz Niedzielski, 25 Apr 2016
RC2: 'General comments', Anonymous Referee #2, 27 Feb 2016
- AC2: 'RESPONSES TO COMMENTS OFFERED BY THE REVIEWER #2 (review file: hess-2016-49-RC2.pdf)', Tomasz Niedzielski, 25 Apr 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Reconsider after major revisions (20 May 2016) by Helena Mitasova

AR by Tomasz Niedzielski on behalf of the Authors (29 Jun 2016) Author's response Manuscript

ED: Publish as is (04 Jul 2016) by Helena Mitasova

Short summary

We study detectability of changes in water surface areas on orthophotomaps. We use unmanned aerial vehicles to acquire visible light photographs. We offer a new method for detecting changes in water surface areas and river stages. The approach is based on the application of the Student's t test, in asymptotic and bootstrapped versions. We test our approach on aerial photos taken during 3-year observational campaign. We detect transitions between all characteristic river stages using drone data.