This research was undertaken to study the influence of the sampling design and laser beam density of ground-based light detection and ranging (lidar) measurements of forests on the quality of the collected laser datasets in terms of shadowing. Virtual forest stands generated by stochastic L-systems as tree descriptors are used as a basis depending on the study frame and requirements. The dynamic plant modeler and plant nursery natFX (Bionatics, CIRAD, Montpellier, France) was used to simulate deciduous forest stands of three tree species (Fagus sylvatica L., Platanus acerifolia (Ait.) Willd., and Populus nigra L.) with varying structural characteristics. Hemispherical laser measurements with different laser beam densities were simulated according to three different sampling patterns (single, diamond, corners) inside these virtual forest stands using ray-tracing technology. An adjusted sampling design has proven its effectiveness, since an average shadowing decrease of 29.10% was obtained in comparison with that for a single measurement. This finding contrasts with an average decrease of 13.27% by increasing laser beam density by a factor of 25. In the next step, contact frequency values were calculated from the virtual laser datasets. These values were used to model the shadowed parts of the canopy, demonstrating the potential of ground-based laser scans to capture the three-dimensional leaf distribution inside a forest stand in terms of leaf area density (LAD). On average, the LAD estimates underestimated the true LAD by 19.55%, 12.67%, and 10.54% for the single, diamond, and corners setups, respectively. In each of the cases, the LAD values from the single design resulted in a lower accuracy compared with those for the diamond and corners setups.