## 4 Results  
The morphometric characteristics of the Jeziorko research area are presented as grayscale shaded hills in the DTM and DSM (Figure 5[42]) created based on the ALS data. The lowest part of the analyzed area is 146 m AMSL, and the highest is 154 m AMSL; thus, this is a relatively flat area. The best results (best assessment parameters) of PlanetScope image classification were obtained using the random trees method. The LULC classes derived using PlanetScope image classification are presented in Figure 6. The assessment parameters for the random trees method obtained the following values: producer accuracy, 94.56%; user accuracy, 94.32%; and total estimated overall accuracy, 92.81% (Table 1). The kappa coefficient had a value of 90.11% [33]. The results of image classification using the random trees method cropped to the Jeziorko research area are presented in Figure 7.  
The results of the PlanetScope image classification determined that the primary land cover includes forested areas (Table 2): coniferous forest, broad-leaved forest, and transitional woodland shrub [33]. In total, forested grounds covered 95.19% of the research area. Other classes include mineral extraction sites and water. The spatial parameters (2D and 3D) of the vegetation were derived from the ALS point clouds (Figure 8), the height of vegetation (95 th percentile), the standard deviation of height, and canopy cover (cover density, values of 0-100%) [42; 43; 44]. The parameters are presented as raster maps (pixel size: 1.0 m). Figure 8 shows the effect of ALS data processing for the spatial biomass indicators of vegetation in the Jeziorko area. Figure 4: Image classification: (**a**) training samples manager; (**b**) the total number of training areas (Arc GIS Pro, Esri). Mean values of height vegetation calculated based on ALS data take the following values in height classes: low vegetation, 4.4 m (standard deviation = 0.9 m): medium vegetation, 9.2 m (SD = 1.1 m), and high vegetation, 19.8 (SD = 1.0 m). The maximum value of height calculated as the 95 th percentile was 24.0 m.  
Figures 9-11 show the detailed parameters of vegetation (in different stages of growth) as histograms and profiles from the ALS data (vegetation are green points, and the ground is pink). Examples are shown for low (transitional woodland shrub), medium, and high vegetation (broad-leaved forest and coniferous forest) [42]. Figure 5: Jeziörko area: (**a**) digital terrain model (DTM); (**b**) DTM hillshade; (**c**) digital surface model (DSM); (**d**) DSM hillshade. \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**Land Cover Classes** & \begin{tabular}{c} **Mineral** \\ **Extraction** \\ **Sites** \\ \end{tabular} & \begin{tabular}{c} **Broad-** \\ **Leaved** \\ **Fores** \\ \end{tabular} & \begin{tabular}{c} **Coniferous** \\ **Forest** \\ \end{tabular} & \
\begin{tabular}{c} **Transitional** \\ **Woodland** \\ **Shrub** \\ \end{tabular} & **Water** & **Total** &
\begin{tabular}{c} **User** \\ **Accuracy (\%)** \\ \end{tabular} \\ \hline Mineral & 37 & 0 & 0 & 1 & 0 & 38 & 97.37 \\ extraction sites & & & & & & & \\ Broad-leaved & 0 & 114 & 2 & 14 & 0 & 130 & 87.69 \\ forest & 0 & 5 & 118 & 9 & 0 & 132 & 89.39 \\ Transitional w. & 3 & 1 & 1 & 173 & 0 & 178 & 97.19 \\ shrub & 0 & 0 & 0 & 0 & 23 & 23 & 100.00 \\ Water & 40 & 120 & 121 & 197 & 23 & 501 & 94.32 \\
**Producer** & 92.50 & 95.00 & 97.52 & 87.82 & 100.00 & 94.56 & **OA = 92.81** \\
**Accuracy (\%)** & & & & & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 1: The assessment parameters for the random trees method. Total estimated, overall accuracy (OA) was shown as a bold value. \begin{table}
\begin{tabular}{c c c} \hline \hline
**Land Cover Classes** & **Area (ha)** & **Percentage (\%)** \\ \hline Mineral extraction sites & 3.04 & 1.40 \\ Broad-leaved forest & 44.02 & 20.31 \\ Coniferous forest & 90.84 & 41.91 \\ Transitional woodland shrub & 77.96 & 35.97 \\ Water & 0.86 & 0.40 \\ Total & 216.72 & 100.00 \\ \hline \hline \end{tabular}
\end{table}