## 4 Results

Table 5: Confidence intervals calculated with the Z-test with 95% confidence, for each verification measures (Omission Error (OE); Comission Error (CE); Bias (BIAS); Dice Coefficient (DICE) and Critical Success Index (CSI)) from contingency table and for each burned area product (_Area Queimada_—Project for On-Board Autonomy-Vegetation burned area product (AQM-PROBA) and Moderate Resolution Imaging Spectroradiometer direct broadcast (DB) burned area product (MCD64A1)). The L8 scenes 219 /71 and 221/71 showed smaller percent differences in between size classes 100-1000 ha and \(>\)1000 ha (Figure 6), in comparison to other scenes. These scenes also displayed high omission error for both products (Table 4). Nevertheless, Figure 7 shows that most omissions cases are due to small fire scars (AQM-PROBA in red, MCD64A1 in blue and, black contour represents the reference data). Figure 5: Total burned area for the 13 Landsat scenes, as obtained from the reference data (gray bars), _Area Queimada_—Project for On-Board Autonomy-Vegetation burned area product (AQM-PROBA) (white bars) and Moderate Resolution Imaging Spectroradiometer direct broadcast (DB) burned area product (MCD64A1) (black bars). Figure 6: Distribution of reference fire scars by number (gray bars) and by area (white bars) according to each size class (1) very small (0–25 ha); (2) small (25–100 ha); (3) medium (100–1000 ha) and (4) large (\(>\)1000 ha), for each Landsat 8 scene. Figure 8 shows the burned area proportions classified in all the Landsat scenes plotted against the proportion classified as burned in the two BA products in a region of 10 by 10 km defined within each reference data scene. For all scenes, the AQM-PROBA showed a greater correlation with the Landsat burned area estimates than the MCD64A1 product. Both BA products underestimate the BA in most cases, except in 219/68, 219/70, 222/67 for AQM-PROBA-V and 220/68 for MCD64A1 (Figure 8). Table 6 shows the Kendall correlation index calculated for each product and for each Landsat scene. For AQM-PROBA, the highest Kendall's correlation was found for scene 220/66 (0.85) and the lowest for scene 218/72 (0.51). For MCD64A1, the best result was found for scene 221/67 (0.72) and the worst for scene 218/72 (0.37). On average, the correlation between AQM-PROBA and the reference map was 0.7, with a standard deviation of 0.09, whereas for MCD64A1 the correlation was 0.56 with a standard deviation of 0.11 (Table 6). Figure 7: Burned area maps for _Area Queimada_—Project for On-Board Autonomy-Vegetation burned area product (AQM-PROBA) (**red**) and Moderate Resolution Imaging Spectroradiometer direct broadcast (DB) burned area product (MCD64A1) (**blue**) for 219/071 scene. The black outline represents the reference Landsat 8 fire scars perimeters. The small rectangles highlight examples of omissions cases related to small fire scars. Figure 8: _Cont._ \begin{table}
\begin{tabular}{c c c} \hline \hline
**Product** & **Path/Row** & \(\tau\) \\ \hline AQM-PROBA & 218/072 & 0.51 \\ MCD64A1 & 218/072 & 0.37 \\ AQM-PROBA & 219/068 & 0.72 \\ MCD64A1 & 219/068 & 0.60 \\ AQM-PROBA & 219/070 & 0.69 \\ MCD64A1 & 219/070 & 0.61 \\ AQM-PROBA & 219/071 & 0.66 \\ MCD64A1 & 219/071 & 0.43 \\ AQM-PROBA & 219/072 & 0.71 \\ MCD64A1 & 219/072 & 0.53 \\ AQM-PROBA & 220/066 & 0.85 \\ MCD64A1 & 220/066 & 0.65 \\ AQM-PROBA & 220/067 & 0.79 \\ MCD64A1 & 220/067 & 0.68 \\ AQM-PROBA & 220/068 & 0.76 \\ MCD64A1 & 220/068 & 0.67 \\ AQM-PROBA & 221/067 & 0.82 \\ MCD64A1 & 221/067 & 0.72 \\ AQM-PROBA & 221/070 & 0.70 \\ MCD64A1 & 221/070 & 0.63 \\ AQM-PROBA & 221/071 & 0.67 \\ MCD64A1 & 221/071 & 0.42 \\ AQM-PROBA & 222/067 & 0.72 \\ MCD64A1 & 222/067 & 0.60 \\ AQM-PROBA & 222/068 & 0.58 \\ MCD64A1 & 222/068 & 0.44 \\ \hline \hline \end{tabular}
\end{table}