Quantifying the effect of aerial imagery resolution in automated hydromorphological river characterisation

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dc.contributor.authorRivas Casado, Monica
dc.contributor.authorBallesteros Gonzalez, Rocio
dc.contributor.authorWright, Ros
dc.contributor.authorBellamy, Pat
dc.date.accessioned2016-08-18T13:21:34Z
dc.date.available2016-08-18T13:21:34Z
dc.date.issued2016-08-10
dc.description.abstractExisting regulatory frameworks aiming to improve the quality of rivers place hydromorphology as a key factor in the assessment of hydrology, morphology and river continuity. The majority of available methods for hydromorphological characterisation rely on the identification of homogeneous areas (i.e., features) of flow, vegetation and substrate. For that purpose, aerial imagery is used to identify existing features through either visual observation or automated classification techniques. There is evidence to believe that the success in feature identification relies on the resolution of the imagery used. However, little effort has yet been made to quantify the uncertainty in feature identification associated with the resolution of the aerial imagery. This paper contributes to address this gap in knowledge by contrasting results in automated hydromorphological feature identification from unmanned aerial vehicles (UAV) aerial imagery captured at three resolutions (2.5 cm, 5 cm and 10 cm) along a 1.4 km river reach. The results show that resolution plays a key role in the accuracy and variety of features identified, with larger identification errors observed for riffles and side bars. This in turn has an impact on the ecological characterisation of the river reach. The research shows that UAV technology could be essential for unbiased hydromorphological assessment.en_UK
dc.identifier.citationRivas Casado M, Ballesteros Gonzalez R, Wright R, Bellamy P. (2016) Quantifying the effect of aerial imagery resolution in automated hydromorphological river characterisation. Remote Sensing, Volume 8, Issue 8, August 2016, Article number 650en_UK
dc.identifier.issn2072-4292
dc.identifier.urihttp://dx.doi.org/10.3390/rs8080650
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/10344
dc.language.isoenen_UK
dc.publisherMDPIen_UK
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectunmanned aerial vehicleen_UK
dc.subjectphotogrammetryen_UK
dc.subjectresolutionen_UK
dc.subjectcomparisonen_UK
dc.subjecthydromorphologyen_UK
dc.subjectriver managementen_UK
dc.titleQuantifying the effect of aerial imagery resolution in automated hydromorphological river characterisationen_UK
dc.typeArticleen_UK

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