Comparative analysis of state-of-the-art neural networks for predicting land surface temperature and NDVI patterns using earth engine data in semi-arid regions
These findings provide crucial insights for climate monitoring applications in water-scarce regions, demonstrating that attention-based mechanisms are particularly effective for capturing long-range temporal dependencies in climate data while maintaining the computational efficiency essential for real-time monitoring s...