## 5 Results
### Results of the Study Using LIDAR  
Automatically classified point clouds with a density of 8-9 points/m\({}^{2}\) served for the research on the shaping of the landscape in Kasinka Mala, as illustrated in Figure 10.  
\begin{table}
\begin{tabular}{c c c c c c} \hline \multicolumn{2}{c}{**Grasslands**} & \multicolumn{3}{c}{**Water**} \\ \hline Type of Terrain (1963) & Type of Terrain (2010) & Surface (ha) & Type of Terrain (1963) & Type of Terrain (2010) & Surface (ha) \\ \hline Uz & - & 0.3232 & W & - & 0.002 \\ \hline Uz & B & 0.6257 & W & Dr & 0.0512 \\ \hline Uz & Dr & 0.5390 & W & Ls & 0.8282 \\ \hline Uz & Ls & 3.7568 & W & R & 0.0014 \\ \hline Uz & R & 7.0737 & W & Uz & 0.0486 \\ \hline Uz & S & 0.0038 & W & W & 0.0902 \\ \hline Uz & Uz & 4.9715 & W & x & 0.1265 \\ \hline Uz & x & 3.0127 & & & \\ \hline \multicolumn{2}{c}{AMOUNT} & \multicolumn{3}{c}{20.3064} & \multicolumn{3}{c}{AMOUNT} & 1.1481 \\ \hline \multicolumn{2}{c}{**Forests**} & \multicolumn{3}{c}{**Orchards**} \\ \hline Type of Terrain (1963) & Type of Terrain (2010) & Surface (ha] & Type of Terrain (1963) & Type of Terrain (2010) & Surface [ha] \\ \hline Ls & - & 0.1241 & S & - & 0.0356 \\ \hline Ls & B & 0.2244 & S & B & 0.0671 \\ \hline Ls & Dr & 0.2822 & S & Dr & 0.0214 \\ \hline Ls & Ls & 11.0571 & S & Ls & 0.0782 \\ \hline Ls & R & 0.7956 & S & R & 0.5827 \\ \hline Ls & S & 0.0867 & S & S & 0.1039 \\ \hline Ls & Uz & 1.8039 & S & Uz & 0.512 \\ \hline Ls & x & 1.311 & S & x & 0.5842 \\ \hline \multicolumn{2}{c}{AMOUNT} & \multicolumn{3}{c}{15.685} & \multicolumn{3}{c}{AMOUNT} & 1.9851 \\ \hline \multicolumn{2}{c}{**Road**} & \multicolumn{3}{c}{**Other**} \\ \hline Type of Terrain (1963) & Type of Terrain (2010) & Surface (ha] & Type of Terrain (1963) & Type of Terrain (2010) & Surface [ha] \\ \hline Dr & - & 0.0146 & x & - & 0.0035 \\ \hline Dr & B & 0.0243 & x & B & 0.6269 \\ \hline Dr & Dr & 1.1267 & x & Dr & 0.8441 \\ \hline Dr & Ls & 0.646 & x & Ls & 3.7863 \\ \hline Dr & R & 0.3496 & x & R & 0.1977 \\ \hline Dr & S & 0.0164 & x & S & 0.1477 \\ \hline Dr & Uz & 0.3281 & x & Uz & 2.3854 \\ \hline Dr & W & 0.0067 & x & W & 0.6885 \\ \hline Dr & x & 0.3524 & x & x & 4.8122 \\ \hline \multicolumn{2}{c}{AMOUNT} & \multicolumn{3}{c}{2.8648} & \multicolumn{3}{c}{AMOUNT} & 13.4923 \\ \hline \end{tabular}
\end{table}
Table 4: Cont.  
These clouds have been limited to the relevant sections according to the current 2000 system and the limits of the Kasinka Mala area (Figure 11).  
The categorized clouds had the following classes: ground, low vegetation, medium vegetation, high vegetation, buildings, low point, default, and model keypoints. In relation to the whole area, from the cloud of several dozen million points, the Model keypoints constituted only 3.2 million points (Figure 12).  
The digital surface model in the Kamionka Wielka area was made on the basis of the above-mentioned LIDAR data. The point cloud, classified automatically, has been manually adjusted using the TerraScan program, working in conjunction with Bentley's MicroStation V8i (Figure 13).  
The result of the work is the DSM presented in Figure 14.  
Figure 11: The approximate border of Kasinka Mala.  
Figure 10: Final version of the classified cloud of points.  
Figure 14: Digital surface model of the Kamionka Wielka village.  
Figure 12: The Model keypoints for the entire area.  
Figure 13: The cloud of points from the fragment of Kamionka Wielka (on the **left**), along with the corresponding digital surface model (**right**).