ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-3, 233-239, 2016
https://doi.org/10.5194/isprs-annals-III-3-233-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
03 Jun 2016
ULS LiDAR SUPPORTED ANALYSES OF LASER BEAM PENETRATION FROM DIFFERENT ALS SYSTEMS INTO VEGETATION
M. Wieser, M. Hollaus, G. Mandlburger, P. Glira, and N. Pfeifer TU WIEN, Department of Geodesy and Geoinformation, Vienna, Austria
Keywords: tree height, ALB, underestimation, vegetation height, penetration, canopy Abstract. This study analyses the underestimation of tree and shrub heights for different airborne laser scanner systems and point cloud distribution within the vegetation column. Reference data was produced by a novel UAV-borne laser scanning (ULS) with a high point density in the complete vegetation column. With its physical parameters (e.g. footprint) and its relative accuracy within the block as stated in Section 2.2 the reference data is supposed to be highly suitable to detect the highest point of the vegetation. An airborne topographic (ALS) and topo-bathymetric (ALB) system were investigated. All data was collected in a period of one month in leaf-off condition, while the dominant tree species in the study area are deciduous trees. By robustly estimating the highest 3d vegetation point of each laser system the underestimation of the vegetation height was examined in respect to the ULS reference data. This resulted in a higher under-estimation of the airborne topographic system with 0.60 m (trees) and 0.55 m (shrubs) than for the topo-bathymetric system 0.30 m (trees) and 0.40 m (shrubs). The degree of the underestimation depends on structural characteristics of the vegetation itself and physical specification of the laser system.
Conference paper (PDF, 2429 KB)


Citation: Wieser, M., Hollaus, M., Mandlburger, G., Glira, P., and Pfeifer, N.: ULS LiDAR SUPPORTED ANALYSES OF LASER BEAM PENETRATION FROM DIFFERENT ALS SYSTEMS INTO VEGETATION, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-3, 233-239, https://doi.org/10.5194/isprs-annals-III-3-233-2016, 2016.

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