ULS LiDAR SUPPORTED ANALYSES OF LASER BEAM PENETRATION FROM DIFFERENT ALS SYSTEMS INTO VEGETATION
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....
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2016-06-01
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Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-3/233/2016/isprs-annals-III-3-233-2016.pdf |
Summary: | 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. |
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ISSN: | 2194-9042 2194-9050 |