Model performance
The model was trained for 200 epochs and showed a significant
convergence trend. In terms of precision, the Nash-Sutcliffe efficiency
and root MSE (RMSE)-observation standard deviation ratio (RSR) were used
as indicators to reflect the model performance and reached values of
0.51 and 0.70 respectively, indicating “satisfactory” performance.
Spatially, the observed value and predictive value of each sample were
visualized with one set of legends showing similar spatial
characteristics (Figure 1). However, overall, the sum of the predictive
values was lower than the ground truth sum.