Monitoring of avulsion channel evolution and river morphology changes using UAV photogrammetry: Case study of the gravel bed Ondava River in Outer Western Carpathians

This paper presents results from monitoring the chute cutoff in the meander bend of the Ondava River in Eastern Slovakia. An avulsion channel was formed in the central part of the meander neck during 2010 flood events, and here we describe the mechanism of evolution and post‐cutoff avulsion channel...

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Veröffentlicht in:Area (London 1969) 2019-09, Vol.51 (3), p.549-560
Hauptverfasser: Rusnák, Miloš, Sládek, Ján, Pacina, Jan, Kidová, Anna
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Sládek, Ján
Pacina, Jan
Kidová, Anna
description This paper presents results from monitoring the chute cutoff in the meander bend of the Ondava River in Eastern Slovakia. An avulsion channel was formed in the central part of the meander neck during 2010 flood events, and here we describe the mechanism of evolution and post‐cutoff avulsion channel adjustment using drones, unmanned aerial vehicle (UAV) photogrammetry and field survey. Monitoring by UAV images began on 15 June 2012 with 78 processed images, followed by 259 images during April 2014 and 375 from 18 July 2014. The majority of UAV digital elevation model (DEM) errors in the study area were associated with vegetation cover, with the average vertical root mean square error (RMSE) of the UAV‐DEM on bare ground at 0.209 m compared with 0.673 m in vegetated areas. The chute cutoff was formed by floodplain headcutting during meander neck overflow and headcut migration was directed by floodplain sediment structure and land use. Although low river discharge after the 2010 floods stabilised the avulsion channel by vegetation succession, recurrent two‐yearly interval flooding increased the avulsion channel bank erosion from 36.9 m3/month (June 2012–April 2014) to 425.6 m3/month (April 2014–July 2014). We describe the mechanism of evolution and post‐cutoff avulsion channel adjustment using drones, UAV photogrammetry and field survey. We estimated erosion/deposition areas due to channel erosion. The chute cutoff was formed by floodplain headcutting during meander neck overflow, and headcut migration was directed by floodplain sediment structure and land use.
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An avulsion channel was formed in the central part of the meander neck during 2010 flood events, and here we describe the mechanism of evolution and post‐cutoff avulsion channel adjustment using drones, unmanned aerial vehicle (UAV) photogrammetry and field survey. Monitoring by UAV images began on 15 June 2012 with 78 processed images, followed by 259 images during April 2014 and 375 from 18 July 2014. The majority of UAV digital elevation model (DEM) errors in the study area were associated with vegetation cover, with the average vertical root mean square error (RMSE) of the UAV‐DEM on bare ground at 0.209 m compared with 0.673 m in vegetated areas. The chute cutoff was formed by floodplain headcutting during meander neck overflow and headcut migration was directed by floodplain sediment structure and land use. Although low river discharge after the 2010 floods stabilised the avulsion channel by vegetation succession, recurrent two‐yearly interval flooding increased the avulsion channel bank erosion from 36.9 m3/month (June 2012–April 2014) to 425.6 m3/month (April 2014–July 2014). We describe the mechanism of evolution and post‐cutoff avulsion channel adjustment using drones, UAV photogrammetry and field survey. We estimated erosion/deposition areas due to channel erosion. 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An avulsion channel was formed in the central part of the meander neck during 2010 flood events, and here we describe the mechanism of evolution and post‐cutoff avulsion channel adjustment using drones, unmanned aerial vehicle (UAV) photogrammetry and field survey. Monitoring by UAV images began on 15 June 2012 with 78 processed images, followed by 259 images during April 2014 and 375 from 18 July 2014. The majority of UAV digital elevation model (DEM) errors in the study area were associated with vegetation cover, with the average vertical root mean square error (RMSE) of the UAV‐DEM on bare ground at 0.209 m compared with 0.673 m in vegetated areas. The chute cutoff was formed by floodplain headcutting during meander neck overflow and headcut migration was directed by floodplain sediment structure and land use. Although low river discharge after the 2010 floods stabilised the avulsion channel by vegetation succession, recurrent two‐yearly interval flooding increased the avulsion channel bank erosion from 36.9 m3/month (June 2012–April 2014) to 425.6 m3/month (April 2014–July 2014). We describe the mechanism of evolution and post‐cutoff avulsion channel adjustment using drones, UAV photogrammetry and field survey. We estimated erosion/deposition areas due to channel erosion. The chute cutoff was formed by floodplain headcutting during meander neck overflow, and headcut migration was directed by floodplain sediment structure and land use.</description><subject>Aerial photography</subject><subject>Aerial surveys</subject><subject>avulsion channel</subject><subject>Bank erosion</subject><subject>channel changes</subject><subject>Channel morphology</subject><subject>chute cutoff</subject><subject>Digital Elevation Models</subject><subject>Drone aircraft</subject><subject>Drone vehicles</subject><subject>Evolution</subject><subject>Flooding</subject><subject>Floodplains</subject><subject>Floods</subject><subject>Gravel beds</subject><subject>Land use</subject><subject>Migration</subject><subject>Monitoring</subject><subject>Morphology</subject><subject>Neck</subject><subject>Photogrammetry</subject><subject>Recurrent</subject><subject>Root-mean-square errors</subject><subject>Succession</subject><subject>UAV technology</subject><subject>UAV‐DEM</subject><subject>Unmanned aerial vehicles</subject><subject>Vegetation</subject><issn>0004-0894</issn><issn>1475-4762</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kV1LwzAUhoMoOKc3_oKAd0JnTj_S1rsx5gdMBsPpZUnT062jS2bSVvqH_J2mm9fm5iQ5z3kSeAm5BTYBtx6EQTEBP2LJGRlBGEdeGHP_nIwYY6HHkjS8JFfW7oYjj9iI_LxpVTXaVGpDdUlF19a20orKrVAKa4qdrttmuBGqoKbq0NC9NoetrvWmP2IbtLS1g2A9_aCu0-iNEfs9NqZ_pDNhkdqmLfrB32yRumbnzDkWdKkK0Qm6OmorRZdt4zafaF1RbtQcRLOthLLX5KIUtcWbvzom66f5--zFWyyfX2fThScDBomHfh5F0peljBDKGEValEUIvOClDCDhPEFIIuACeApMpiBYzHMAP5RhIvM0GJO7k_dg9Ffr_pHtdGuUezLzfR4HPgsZd9T9iZJGW2uwzA6m2gvTZ8CyIYdsyCE75uBgOMHfVY39P2Q2Xc2np5lf5sGNxg</recordid><startdate>201909</startdate><enddate>201909</enddate><creator>Rusnák, Miloš</creator><creator>Sládek, Ján</creator><creator>Pacina, Jan</creator><creator>Kidová, Anna</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8BJ</scope><scope>8FD</scope><scope>FQK</scope><scope>FR3</scope><scope>JBE</scope><scope>KR7</scope><orcidid>https://orcid.org/0000-0002-4553-276X</orcidid></search><sort><creationdate>201909</creationdate><title>Monitoring of avulsion channel evolution and river morphology changes using UAV photogrammetry: Case study of the gravel bed Ondava River in Outer Western Carpathians</title><author>Rusnák, Miloš ; Sládek, Ján ; Pacina, Jan ; Kidová, Anna</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3018-e2b55c2cfc5e1f7ea9dfd416d6fc318668e18516a16910c91a076b1124c48cb93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Aerial photography</topic><topic>Aerial surveys</topic><topic>avulsion channel</topic><topic>Bank erosion</topic><topic>channel changes</topic><topic>Channel morphology</topic><topic>chute cutoff</topic><topic>Digital Elevation Models</topic><topic>Drone aircraft</topic><topic>Drone vehicles</topic><topic>Evolution</topic><topic>Flooding</topic><topic>Floodplains</topic><topic>Floods</topic><topic>Gravel beds</topic><topic>Land use</topic><topic>Migration</topic><topic>Monitoring</topic><topic>Morphology</topic><topic>Neck</topic><topic>Photogrammetry</topic><topic>Recurrent</topic><topic>Root-mean-square errors</topic><topic>Succession</topic><topic>UAV technology</topic><topic>UAV‐DEM</topic><topic>Unmanned aerial vehicles</topic><topic>Vegetation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rusnák, Miloš</creatorcontrib><creatorcontrib>Sládek, Ján</creatorcontrib><creatorcontrib>Pacina, Jan</creatorcontrib><creatorcontrib>Kidová, Anna</creatorcontrib><collection>CrossRef</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Technology Research Database</collection><collection>International Bibliography of the Social Sciences</collection><collection>Engineering Research Database</collection><collection>International Bibliography of the Social Sciences</collection><collection>Civil Engineering Abstracts</collection><jtitle>Area (London 1969)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rusnák, Miloš</au><au>Sládek, Ján</au><au>Pacina, Jan</au><au>Kidová, Anna</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Monitoring of avulsion channel evolution and river morphology changes using UAV photogrammetry: Case study of the gravel bed Ondava River in Outer Western Carpathians</atitle><jtitle>Area (London 1969)</jtitle><date>2019-09</date><risdate>2019</risdate><volume>51</volume><issue>3</issue><spage>549</spage><epage>560</epage><pages>549-560</pages><issn>0004-0894</issn><eissn>1475-4762</eissn><abstract>This paper presents results from monitoring the chute cutoff in the meander bend of the Ondava River in Eastern Slovakia. An avulsion channel was formed in the central part of the meander neck during 2010 flood events, and here we describe the mechanism of evolution and post‐cutoff avulsion channel adjustment using drones, unmanned aerial vehicle (UAV) photogrammetry and field survey. Monitoring by UAV images began on 15 June 2012 with 78 processed images, followed by 259 images during April 2014 and 375 from 18 July 2014. The majority of UAV digital elevation model (DEM) errors in the study area were associated with vegetation cover, with the average vertical root mean square error (RMSE) of the UAV‐DEM on bare ground at 0.209 m compared with 0.673 m in vegetated areas. The chute cutoff was formed by floodplain headcutting during meander neck overflow and headcut migration was directed by floodplain sediment structure and land use. Although low river discharge after the 2010 floods stabilised the avulsion channel by vegetation succession, recurrent two‐yearly interval flooding increased the avulsion channel bank erosion from 36.9 m3/month (June 2012–April 2014) to 425.6 m3/month (April 2014–July 2014). We describe the mechanism of evolution and post‐cutoff avulsion channel adjustment using drones, UAV photogrammetry and field survey. We estimated erosion/deposition areas due to channel erosion. The chute cutoff was formed by floodplain headcutting during meander neck overflow, and headcut migration was directed by floodplain sediment structure and land use.</abstract><cop>London</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1111/area.12508</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-4553-276X</orcidid></addata></record>
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subjects Aerial photography
Aerial surveys
avulsion channel
Bank erosion
channel changes
Channel morphology
chute cutoff
Digital Elevation Models
Drone aircraft
Drone vehicles
Evolution
Flooding
Floodplains
Floods
Gravel beds
Land use
Migration
Monitoring
Morphology
Neck
Photogrammetry
Recurrent
Root-mean-square errors
Succession
UAV technology
UAV‐DEM
Unmanned aerial vehicles
Vegetation
title Monitoring of avulsion channel evolution and river morphology changes using UAV photogrammetry: Case study of the gravel bed Ondava River in Outer Western Carpathians
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