3.2.3. Test Site GPP without EVI

In this experiment, all EVI data were deleted from the training data, which were then trained for each site flux. The final prediction results are shown in Figure 11. Compared to the prediction results without any feature ablation of the training data, the prediction accuracy of the AR site is still significantly improved and higher than that after removing Par but lower than that after removing Ta. The prediction accuracy of the DXST, DXSW, NMC, and ZF sites is similar to that after the removal of Ta and Par, with a sharp decrease. The decrease is larger for the NMC and ZF sites than for the others. The prediction accuracy of the GL site shows a continuous decline compared to that after the removal of Ta and Par. The prediction accuracy of the HBKO, HBSH, and HBSW sites does not change noticeably.

**Figure 11.** Predicted GPP vs. labeled GPP at a single site (no EVI).

## 3.2.4. Test Site GPP without NDVI

In this experiment, all NDVI data were deleted from the training data, which were then trained for each site flux. The final prediction results are shown in Figure 12. Compared to the prediction results without any feature ablation of the training data, the prediction accuracy of the AR site is significantly improved and higher than that after removing Ta, Par, and EVI. The prediction accuracy of the DXST, DXSW, and ZF sites decreases, which is consistent with the results of the previous ablation experiments. For the ZF site, the prediction accuracy is only better than that after removing Ta and EVI. The NMC site has an abnormal increase in accuracy. The prediction accuracy of the GL site is higher than that after removing Ta, Par, and EVI. The prediction accuracy of the HBKO, HBSH, and HBSW sites does not change noticeably.

**Figure 12.** Predicted GPP vs. labeled GPP at a single site (no NDVI).
