Statistically derived morphological signatures of large river channels extracted from topo‐bathymetric LiDAR data
Alex Andréault,
Stephane Rodrigues,
Corentin Gaudichet
et al.
Abstract:With the development of LiDAR technology and the availability of topo‐bathymetric data of high quality, new methods are emerging to describe and understand more accurately fluvial geomorphology. We explore the capacities of probability density functions (PDFs) of detrended dimensionless elevations extracted from digital elevation models (DEMs) to document channels morphology and configuration. These DEMs were obtained from a topo‐bathymetric LiDAR survey of 450 km performed on the middle and lower reaches of t… Show more
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