## 4 Results
### Variable Importance
\begin{table}
\begin{tabular}{l c c c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Metrics**} & \multicolumn{6}{c}{**ARD**} & \multicolumn{6}{c}{**HLS**} \\ \cline{2-13}  & **CxQ** & **HPLM** & **SPL** & **CMB** & **CxQ** & **HPLM** & **SPL** & **CMB** \\ \hline PA\_Corn & 93.0 & 93.8 & *** & 96.0 & *** & 98.0 & *** & 89.5 & 90.0 & *** & 93.2 & *** & 95.6 & *** \\ PA\_Wheat & 79.3 & 75.5 & N5 & 66.1 & N5 & 89.1 & *** & 75.6 & 71.8 & N5 & 60.0 & N8 & 83.2 & *** \\ PA\_Afla & 63.6 & 87.0 & *** & 80.8 & N5 & 84.0 & *** & 61.1 & 85.0 & *** & 77.6 & N7 & 79.9 & *** \\ PA\_Soybean & 93.2 & 95.2 & *** & 97.3 & *** & 98.5 & *** & 87.0 & 88.4 & *** & 94.2 & *** & 95.7 & *** \\ PA\_Other Crops & 36.2 & 34.2 & N5 & 14.1 & N5 & 32.6 & *** & 34.9 & 36.7 & N5 & 31.3 & N5 & 36.6 & ** \\ PA\_Water & 94.5 & 98.8 & *** & 99.6 & *** & 99.5 & N8 & 93.7 & 97.3 & *** & 99.6 & *** & 99.5 & N8 \\ PA\_Barren/Dev. & 40.2 & 48.3 & *** & 73.2 & *** & 72.6 & N5 & 37.3 & 40.6 & *** & 64.6 & *** & 62.5 & N8 \\ PA\_Forest & 82.8 & 89.2 & *** & 95.9 & *** & 96.4 & *** & 80.3 & 88.7 & *** & 95.2 & N9 & 95.5 & N8 \\ PA\_Grassland & 91.1 & 92.5 & *** & 95.8 & *** & 96.3 & *** & 93.7 & 92.6 & N8 & 96.1 & *** & 97.4 & *** \\ PA\_Wetland & 68.4 & 67.7 & N5 & 77.5 & *** & 78.9 & *** & 84.0 & 64.6 & N5 & 86.0 & *** & 89.4 & *** \\ UA\_Corn & 92.0 & 94.3 & *** & 97.1 & *** & 98.1 & *** & 86.0 & 87.2 & *** & 94.4 & *** & 95.6 & *** \\ UA\_Wheat & 88.4 & 88.5 & * & 82.1 & N5 & 92.6 & *** & 88.5 & 84.7 & N5 & 77.6 & N8 & 92.3 & *** \\ UA\_Alfalfa & 79.5 & 88.8 & N5 & 89.4 & *** & 93.7 & *** & 78.3 & 87.8 & N8 & 87.5 & *** & 89.5 & *** \\ UA\_Soybean & 92.4 & 95.4 & *** & 93.1 & N5 & 97.2 & *** & 89.3 & 91.4 & *** & 90.4 & N8 & 94.8 & *** \\ UA\_Other Crops & 52.9 & 59.3 & *** & 42.4 & N5 & 62.7 & *** & 86.3 & N5 & 97.7 & *** & 64.3 & *** \\ UA\_Water & 93.3 & 97.7 & *** & 99.8 & *** & 99.7 & N8 & 92.3 & 94.3 & *** & 99.7 & *** & 99.4 & NS \\ UA\_Barren/Dev. & 61.1 & 67.1 & *** & 93.0 & *** & 92.1 & N5 & 56.3 & 62.1 & *** & 89.9 & *** & 88.2 & NS \\ UA\_Forest & 83.6 & 85.1 & *** & 93.5 & *** & 94.5 & *** & 83.0 & 85.2 & *** & 92.9 & *** & 94.2 & *** \\ UA\_Grassland & 83.6 & 84.4 & *** & 89.5 & *** & 89.5 & *** & 89.5 & *** & 88.1 & 83.1 & N5 & 90.2 & *** & 91.2 & *** \\ UA\_Wetland & 73.2 & 73.2 & N5 & 84.4 & *** & 87.5 & *** & 79.6 & 72.6 & N8 & 86.5 & *** & 90.1 & *** \\ \hline \hline \end{tabular}
\end{table} 
Table 8: PA/UA in percent (%) of 2016 RFC models summarized by sets of input variables. A certain scenario (current column) was compared to a scenario on the left (left column) using nonparametric Mann–Whitney U and TOST equivalence tests. The null hypothesis of the U test is that a random accuracy metric of the first scenario (left column) will be less than a random accuracy metric of the second scenario (current column). Significance levels of the U test are indicated by ***, **, and * for p-values of less than 0.001, 0.01, and 0.05, respectively. NS stands for “not significant”. Results of TOST equivalence tests are highlighted in light blue for “not equivalent” and light yellow for “equivalent”. curve in the first quadrant--were measurements on the first half of the growing season, indicating a strong influence of the variables related to the initial green-up phase of seasonal growth. For HPLM RFC models, PH\({}_{\text{HPL}}\), gri, vi\({}_{\text{-}}\)gri, giMD, and gre--representing, respectively, the highest fitted EVI2, DOY of green-up start, EVI2 at gri, DOY in the middle of green-up start and end, and DOY of green-up end--were consistently in the top six most important variables. Similar to the CxQ RFC models, the modeled peak EVI2 value is an important variable for HPLM RFC models. Moreover, gri, vi\({}_{\text{-}}\)gri, giMD, and gre were also timings in the first half of the growing season, confirming the strong influence of variables related to the initial green-up phase found with the CxQ RFC models.