## 3 Results
### Objective III: Significance Testing
\begin{table}
\begin{tabular}{c c c c c c c} \hline
**RB** & **BG** & **LT** & **GV** & **BV** & **P** & _UA_ & _UIE_ \\ \hline BG & 0.0092 & 0.0015 & 0 & 0 & 1.1\% & 85.7\% & 85.5\% \\ LT & 0 & 0.6998 & 0 & 0 & 70.0\% & 100\% & 100\% \\ GV & 0 & 0.0035 & 0.101 & 0.0071 & 11.2\% & 90.5\% & 89.3\% \\ BV & 0.0028 & 0.0085 & 0.0056 & 0.1609 & 17.8\% & 90.5\% & 88.6\% \\
**P** & 1.2\% & 71.3\% & 10.7\% & 16.8\% & **1** & \\ _PA_ & 76.5\% & 98.1\% & 94.7\% & 95.8\% & \multicolumn{3}{c}{**OA = 97.1\%**} \\ _PE_ & 76.2\% & 93.4\% & 94.1\% & 94.9\% & \multicolumn{3}{c}{**MICE = 93.6\%**} \\ \hline
**PB2** & BG & LT & GV & BV & **P** & _UA_ & _UE_ \\ BG & 0.1295 & 0.0127 & 0.0076 & 0.0102 & 16\% & 81\% & 75.9\% \\ LT & 0.0121 & 0.2429 & 0 & 0 & 25.5\% & 95.2\% & 93.1\% \\ GV & 0.0128 & 0.0096 & 0.1762 & 0.0032 & 20.2\% & 87.3\% & 84.2\% \\ BV & 0.0547 & 0.0426 & 0.0122 & 0.2737 & 38.3\% & 71.4\% & 59.9\% \\
**P** & 20.9\% & 30.8\% & 19.6\% & 28.7\% & \multicolumn{3}{c}{**1**} \\ _PA_ & 61.9\% & 78.9\% & 89.9\% & 95.3\% & \multicolumn{3}{c}{**OA = 82.2\%**} \\ _PE_ & 51.8\% & 69.5\% & 87.4\% & 93.5\% & \multicolumn{3}{c}{**MICE = 76\%**} \\ \hline
**PB** & BG & LT & GV & BV & **P** & _UA_ & _UE_ \\ BG & 0.0364 & 0.0106 & 0.0008 & 0 & 4.8\% & 76.2\% & 74.5\% \\ LT & 0.0106 & 0.3131 & 0.0106 & 0 & 33.4\% & 93.7\% & 90.6\% \\ GV & 0.0207 & 0.0026 & 0.1373 & 0.0026 & 16.3\% & 84.1\% & 81.4\% \\ BV & 0 & 0 & 0 & 0.4547 & 45.5\% & 100\% & 100\% \\
**P** & 6.8\% & 32.6\% & 14.9\% & 45.7\% & **1** & \\ _PA_ & 53.7\% & 96\% & 92.4\% & 99.4\% & \multicolumn{3}{c}{**OA = 94.1\%**} \\ _PE_ & 50.4\% & 94\% & 91\% & 99\% & \multicolumn{3}{c}{**MICE = 91.1\%**} \\ \hline
**PB3** & BG & LT & GV & BV & **P** & _UA_ & _UE_ \\ BG & 0.0076 & 0.0024 & 0.0002 & 0 & 1\% & 74.6\% & 73.8\% \\ LT & 0.0152 & 0.2206 & 0.0038 & 0 & 24\% & 92.1\% & 89.8\% \\ GV & 0 & 0 & 0.6955 & 0.0112 & 70.7\% & 98.4\% & 94.7\% \\ BV & 0.0069 & 0.0007 & 0.0007 & 0.0352 & 4.3\% & 81\% & 80\% \\
**P** & 3\% & 22.4\% & 70\% & 4.6\% & **1** & \\ _PA_ & 25.7\% & 98.6\% & 99.3\% & 75.8\% & \multicolumn{3}{c}{**OA = 95.9\%**} \\ _PE_ & 23.4\% & 98.2\% & 97.8\% & \multicolumn{3}{c}{**MICE = 91\%**} \\ \hline \end{tabular}
\end{table} 
Table 14: PWA prairie burn population matrices. NOTE: Dataset is denoted in top-left corner of each sub-table, where **RB** = pre-burn, **PB** = post-burn, etc. Classes are labeled as follows: BG = bare-ground, LT = litter, GV = green vegetation, BV = burned vegetation. **P** = proportion of total, _UA_ = user’s accuracy, _UE_ = UA-based efficacy, _PA_ = producer’s accuracy, and _PE_ = PA-based efficacy. **OA** = overall accuracy and **MICE** = map-level image classification efficacy. \begin{table}
\begin{tabular}{c c c c} \hline \hline  & _PWA Burn_ & _Volz Harvest_ \\ \hline Mean & _0.878_ & _0.777_ \\ \cline{2-3} Variance & _0.00647_ & _0.00739_ \\ \cline{2-3} Observations & \(4\) & \(4\) \\ \cline{2-3} Pooled Variance & _0.00694_ \\ \cline{2-3} Hypothesized Mean Difference & \(0\) \\ \cline{2-3} df & \(6\) \\ \cline{2-3} t-stat & _1.737_ \\ \cline{2-3} P(T \(\leq\) t) two-tail & _0.132_ \\ \cline{2-3} t-critical two-tail & _2.447_ \\ \hline \hline \end{tabular}
\end{table} 
Table 16: Two-tailed \(t\)-test results.