M. Vetter, B. Höfle, M. Hollaus, Ch. Gschöpf, G. Mandlburger, N. Pfeifer, W. Wagner:

"Vertical Vegetation Structure Analysis And Hydraulic Roughness Determination Using Dense Als Point Cloud Data - A Voxel Based Approach";

Talk: ISPRS Workshop Laser Scanning 2011, Calgary, Canada; 2011-08-29 - 2011-08-31; in: "Proceedings", ISPRS, Xxxviii / 5 / W12 (2011), ISSN: 1682-1777; 6 pages.

In this contribution the complexity of the vertical vegetation structure, based on dense airborne laser scanning (ALS) point cloud data

(25 echoes/m2), is analyzed to calculate vegetation roughness for hydraulic applications. Using the original 3D ALS point cloud, three

levels of abstractions are derived (cells, voxels and connections) to analyze ALS data based on a 1x1 m2 raster over the whole data set.

A voxel structure is used to count the echoes in predefined detrended height levels within each cell. In general, it is assumed that the

number of voxels containing echoes is an indicator for elevated objects and consequently for increased roughness. Neighboring voxels

containing at least one data point are merged together to connections. An additional height threshold is applied to connect vertical

neighboring voxels with a certain distance in between. Thus, the connections indicate continuous vegetation structures. The height

of the surface near or lowest connection is an indicator for hydrodynamic roughness coefficients. For cells, voxels and connections

the laser echoes are counted within the structure and various statistical measures are calculated. Based on these derived statistical

parameters a rule-based classification is developed by applying a decision tree to assess vegetation types. Roughness coefficient values

such as Manning´s n are estimated, which are used as input for 2D hydrodynamic-numerical modeling. The estimated Manning´s

values from the ALS point cloud are compared with a traditional Manning´s map. Finally, the effect of these two different Manning´s n

maps as input on the 2D hydraulics are quantified by calculating a height difference model of the inundated depth maps. The results

show the large potential of using the entire vertical vegetation structure for hydraulic roughness estimation.

http://publik.tuwien.ac.at/files/PubDat_199914.pdf

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