## 3 Results  
The study found that segmentation on NDVI images from PlanetScope, tested at four different scales, achieved satisfactory accuracy. The analysis revealed that the mean weighted accuracy rate exhibited a range of values between 79% and 83% in all four cases. Specifically, the segmented parcel set obtained with the scale level set to 30% (hereafter referred to as Segm_30) achieved the highest mean weighted accuracy rate, at 83.33%. The output when the scale was set to 20% (Segm_20), the mean weighted accuracy rate was 81.93%, while when the scales were set to 10% (Segm_10) and 40% (Segm_40), the mean weighted accuracy rates were 81.06% and 79.33%, respectively. The maximum local overall accuracy value was 96% for all four outputs. These findings, along with the statistical parameters of the local overall accuracy distribution for each segmented parcel set, are summarized in Table 4.  
The statistical distribution of the entire set of 100 local overall accuracy values for each segmented parcel set was examined (Figure 11), revealing that the minimum local overall accuracy values ranged from 29% (Segm_40) to 37% (for Segm_10, Segm_20, and Segm_30). Additionally, the mean weighted accuracy rate was associated with its two constituent parameters: the mean weighted overlapping rate and the mean weighted overflowing rate. From the analysis of their trends with respect to the scale levels, it appears evident that global accuracy exhibits a non-linear correlation with increasing scale level. As shown in Table 5, an increase in scale level from 10% to 30% increases the accuracy from 81.06% to \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**Segmented** **Parcels Set**} & **Mean Weighted** & **Overall Local** & **Overall Local** & **Overall Local** & **Overall Local** & **Overall Local** \\  & **Overall Local** & **Accuracy** & **Rate–First** & **Rate–Median** & **Rate–Third** & **Accuracy–Max (\%)** \\  & **Accuracy Rate (\%)** & **Rate–Min (\%)** & **Quantile (\%)** & **(\%)** & **Quantile (\%)** & **Accuracy–Max (\%)** \\ \hline Segm\_10 & 81.06 & 37.59 & 72.44 & 81.48 & 86.70 & 95.87 \\ Segm\_20 & 81.93 & 37.59 & 72.44 & 82.22 & 88.31 & 95.87 \\ Segm\_30 & 83.33 & 37.59 & 67.45 & 83.60 & 88.84 & 95.87 \\ Segm\_40 & 79.33 & 29.68 & 58.06 & 76.68 & 88.27 & 95.87 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Local overall accuracy values associated with the four scale levels. 83.33%. Conversely, a further escalation in scale level to 40% caused the mean weighted accuracy rate to decline to 79.33%. This phenomenon can be attributed to the increase in both overlapping and overflowing rates observed as the scale level increases. Indeed, while the overlapping rate contributes positively to segmentation accuracy, the overflow rate has a negative impact. In this particular instance, a scale level of 30% represents the optimal balance between achieving the maximum overlapping rate and minimizing the overflowing rate. Subsequently, by analyzing the local values obtained from the area difference metric, the number of inaccurately segmented parcels and the predominant error type among them were determined. The results are summarized in Table 6.  
The undersegmentation error rate, which was obtained by normalizing the number of positive area-difference values (i.e., instances in which the segmented areas were larger \begin{table}
\begin{tabular}{c c c} \hline \hline
**Segmented Parcels** & **N. of Inaccurately** & \\
**Set** & **Segmented Parcels** & **Segmentation Error Rate** \\ \hline Segm\_10 & 46/54 & 50\%—under-segmentation \\ Segm\_20 & 43/57 & 65.12\%—under-segmentation \\ Segm\_30 & 42/58 & 66.66\%—under-segmentation \\ Segm\_40 & 58/42 & 82.75\%—under-segmentation \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Inaccurately segmented parcels (local overall accuracy < 80%) and the predominant error type affecting them, represented as a percentage. Figure 11: The boxplot shows the distribution of local overall accuracy rate values for each segmented parcel set.