Multi-temporal UAV based repeat monitoring of rivers sensitive to flood

Orkan Özcan*, Okan Özcan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)

Abstract

Multi-temporal repeat monitoring of flood-vulnerable rivers is crucial due to rapid alteration of morphological properties of in-channel landforms. Besides, the characteristics of the river crossing bridges may deteriorate due to flood induced scouring around bridge piles or due to flood loads. Thus, in this study high-resolution topography of the study region was acquired during two consecutive years by unmanned aerial vehicle (UAV) based surveys using Structure-from-Motion (SfM) processing. Following the extraction of digital elevation models (DEM), repeat data that were obtained at each UAV survey were compared using Geomorphic Change Detection (GCD) to calculate volumes of deposition and erosion via DEM of difference (DoD) algorithm. Thus, detailed high-resolution maps of the river channels can be rapidly and efficiently generated by low cost UAV based measurement methods in order for continuous tracking of stream channel morphology for the rivers sensitive to floods.

Original languageEnglish
Pages (from-to)163-170
Number of pages8
JournalJournal of Maps
Volume17
Issue number3
DOIs
Publication statusPublished - 2021

Bibliographical note

Publisher Copyright:
© 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group on behalf of Journal of Maps.

Funding

This study was supported by research fund of Istanbul Technical University [grant number: MGA-2018-41393] and by research fund of Akdeniz University [grant number FBA-2018-2877]. This study was supported by the Istanbul Technical University Scientific Research Project (ITU-BAP) [grant number MGA-2018-41393] and Akdeniz University Scientific Research Project (AU-BAP) [grant number FBA-2018-2877]. This study was supported by the Istanbul Technical University Scientific Research Project (ITU-BAP) [grant number MGA-2018-41393] and Akdeniz University Scientific Research Project (AU-BAP) [grant number FBA-2018-2877].

FundersFunder number
AU-BAPFBA-2018-2877
Akdeniz University Scientific Research Project
ITU-BAP
Akdeniz Üniversitesi
Istanbul Teknik ÜniversitesiMGA-2018-41393

    Keywords

    • Flood
    • UAV
    • bridge
    • change detection
    • dem of difference
    • scour

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