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- Title
Channel head representation using point-cloud elevation data.
- Authors
Rheinwalt, Aljoscha; Goswami, Bedartha; Clubb, Fiona; Bookhagen, Bodo
- Abstract
Channel heads are the upstream tips of the river network and represent the points of channelinitiation. They constitute an important geomorphologic boundary between fluvial processesin convergent and hillslope processes in divergent topography. Previous research often useda catchment area versus channel slope framework to identify breaks in the scaling relationbetween convergent and divergent topography and referred to this as the characteristichillslope length. Many methods have been proposed for predicting channel headlocations using high-resolution digital elevation models (DEMs), yet they all sufferfrom artifacts created by the transformation of the original point-cloud into griddeddata. Here, we propose a channel head estimation approach for point-cloud datathat circumvents gridding point clouds into the commonly used DEMs. Ratherthan using flow accumulation on DEMs, we put forward the idea to compute it interms of specific catchment areas (SCAs) on the triangulated irregular network(TIN) of the point cloud itself. The resulting river networks incorporate more subtlefeatures important for channel head detection. We evaluate our method both onsynthetic data as well as on high-resolution lidar data from the Channel Islands inCalifornia.
- Subjects
CHANNEL Islands; GEOMORPHOLOGY; WATERSHEDS; DIGITAL elevation models; CHANNEL estimation; POINT cloud; ALTITUDES; TOPOGRAPHY
- Publication
Geophysical Research Abstracts, 2019, Vol 21, p1
- ISSN
1029-7006
- Publication type
Article