Dr. Aljoscha Rheinwalt Profile

Dr. Aljoscha Rheinwalt

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Proceedings Article | 10 October 2018 Presentation + Paper

Network-based flow accumulation for point clouds: Facet-Flow Networks (FFN)

Aljoscha Rheinwalt, Bodo Bookhagen

Proceedings Volume 10783, 107831C (2018) https://doi.org/10.1117/12.2318424

KEYWORDS: Vegetation, LIDAR, Data modeling, Tin, Error analysis, Statistical analysis

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Point clouds provide high-resolution topographic data which is often classified into bare-earth, vegetation, and building points and then filtered and aggregated to gridded Digital Elevation Models (DEMs) or Digital Terrain Models (DTMs). Based on these equally-spaced grids flow-accumulation algorithms are applied to describe the hydrologic and geomorphologic mass transport on the surface. In this contribution, we propose a stochastic point-cloud filtering that, together with a spatial bootstrap sampling, allows for a flow accumulation directly on point clouds using Facet-Flow Networks (FFN). Additionally, this provides a framework for the quantification of uncertainties in point-cloud derived metrics such as Specific Catchment Area (SCA) even though the flow accumulation itself is deterministic.

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