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Open AccessArticle

Seamless Mapping of River Channels at High Resolution Using Mobile LiDAR and UAV-Photography

1
Department of Geography and Geology, University of Turku, FI-20014 Turku, Finland
2
Department of Real Estate, Planning and Geoinformatics, School of Science and Technology, Aalto University, FI-00076 Espoo, Finland
3
Department of Remote Sensing and Photogrammetry, Finnish Geodetic Institute, P.O. Box 15, FI-02431 Masala, Finland
4
Helsinki Metropolia University of Applied Sciences, Civil Engineering and Building Services, FI-00079 Helsinki, Finland
*
Author to whom correspondence should be addressed.
Remote Sens. 2013, 5(12), 6382-6407; https://doi.org/10.3390/rs5126382
Received: 10 October 2013 / Revised: 6 November 2013 / Accepted: 18 November 2013 / Published: 27 November 2013
Accurate terrain models are a crucial component of studies of river channel evolution. In this paper we describe a new methodology for creating high-resolution seamless digital terrain models (DTM) of river channels and their floodplains. We combine mobile laser scanning and low-altitude unmanned aerial vehicle (UAV) photography-based methods for creating both a digital bathymetric model of the inundated river channel and a DTM of a point bar of a meandering sub-arctic river. We evaluate mobile laser scanning and UAV-based photogrammetry point clouds against terrestrial laser scanning and combine these data with an optical bathymetric model to create a seamless DTM of two different measurement periods. Using this multi-temporal seamless data, we calculate a DTM of difference that allows a change detection of the meander bend over a one-year period. View Full-Text
Keywords: UAV; mobile laser scanning; LiDAR; photogrammetry; optical bathymetry; seamless DTM; DTM; elevation; river; Finland UAV; mobile laser scanning; LiDAR; photogrammetry; optical bathymetry; seamless DTM; DTM; elevation; river; Finland
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Flener, C.; Vaaja, M.; Jaakkola, A.; Krooks, A.; Kaartinen, H.; Kukko, A.; Kasvi, E.; Hyyppä, H.; Hyyppä, J.; Alho, P. Seamless Mapping of River Channels at High Resolution Using Mobile LiDAR and UAV-Photography. Remote Sens. 2013, 5, 6382-6407.

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