 the effectiveness of various normalized difference vegetation index, NDVI, time series with different spatial and temporal resolution was evaluated for seasonal wetland classification using satellite-based wetland mapping. Results showed that NTS with finer resolution were more effective in the classification of seasonal wetlands than those with coarser resolution, and generally, HJR1 NTS performed better than fused NTS. Future work should focus on constructing satellite image time series for highly dynamic characteristics of seasonal wetlands to improve spatiotemporal fusion models.