we develop a spatio-spectral-temporal deep learning regression model , termed CASST-Net, which leverages a cosine attention mechanism to enhance feature representation to improve FVC estimation accuracy, can also dynamically adjusted the weighting values of each spectral band in the satellite data based on changes in vegetation physiological characteristics and canopy structure.