Journal article

Quantifying different riverbank erosion processes during an extreme flood event

James R Grove, Jacky Croke, Christopher Thompson



Riverbank erosion is a major contributor to catchment sediment budgets. At large spatial scales data is often restricted to planform channel change, with little information on process distributions and their sediment contribution. This study demonstrates how multi-temporal LiDAR and high resolution aerial imagery can be used to determine processes and volumes of riverbank erosion at a catchment scale. Remotely sensed data captured before and after an extreme flood event, enabled a digital elevation model of difference (DoD) to be constructed for the channel and floodplain. This meant that: the spatial area that could be assessed was extensive; three-dimensional forms of bank failures could b..

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Awarded by Australian Research Council

Funding Acknowledgements

This project was supported by Queensland's Department of Science, Information Technology, Innovation and the Arts (DSITIA) as part of the Flood Recovery Project 2011 and an Australian Research Council Linkage Award (LP120200093). The authors are particularly grateful to field crews from the Chemistry Centre, Land Resource Assessment and Remote Sensing in DSITIA who assisted in field data collection. Dan Tindall and Fiona Watson (DSITIA Remote Sensing) provided valuable advice on LiDAR mapping of these features. The comments of two anonymous reviewers and the editorial team were also appreciated.