In-channel 3D models of riverine environments for hydromorphological characterization

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dc.contributor.authorVandrol, Jan
dc.contributor.authorRivas Casado, Monica
dc.contributor.authorBlackburn, Kim
dc.contributor.authorWaine, Toby W.
dc.contributor.authorLeinster, Paul
dc.contributor.authorWright, Ros
dc.date.accessioned2018-06-27T12:59:24Z
dc.date.available2018-06-27T12:59:24Z
dc.date.issued2018-06-25
dc.description.abstractRecent legislative approaches to improve the quality of rivers have resulted in the design and implementation of extensive and intensive monitoring programmes that are costly and time consuming. An important component of assessing the ecological status of a water body as required by the Water Framework Directive is characterising the hydromorphology. Recent advances in autonomous operation and the spatial coverage of monitoring systems enables more rapid 3D models of the river environment to be produced. This study presents a Structure from Motion (SfM) semi-autonomous based framework for the estimation of key reach hydromorphological measures such as water surface area, wetted water width, bank height, bank slope and bank-full width, using in-channel stereo-imagery. The framework relies on a stereo-camera that could be positioned on an autonomous boat. The proposed approach is demonstrated along three 40 m long reaches with differing hydromorphological characteristics. Results indicated that optimal stereo-camera settings need to be selected based on the river appearance. Results also indicated that the characteristics of the reach have an impact on the estimation of the hydromorphological measures; densely vegetated banks, presence of debris and sinuosity along the reach increased the overall error in hydromorphological measure estimation. The results obtained highlight a potential way forward towards the autonomous monitoring of freshwater ecosystemsen_UK
dc.identifier.citationVandrol J, Rivas Casado M, Blackburn K, et al., (2018) In-channel 3D models of riverine environments for hydromorphological characterization. Remote Sensing,Volume 10, Issue 7, 2018, Article number 1005en_UK
dc.identifier.cris20708537
dc.identifier.issn2072-4292
dc.identifier.urihttps://doi.org/10.3390/rs10071005
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/13277
dc.language.isoenen_UK
dc.publisherMDPIen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectStructure from Motionen_UK
dc.subjectriver monitoringen_UK
dc.subjectpoint clouden_UK
dc.subjecthydromorphologyen_UK
dc.subjectmulti-view stereo-cameraen_UK
dc.subjectterrestrial laser scanningen_UK
dc.titleIn-channel 3D models of riverine environments for hydromorphological characterizationen_UK
dc.typeArticleen_UK

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