Monitoring tea tree growth status is essential for understanding physiological status at each planting stage and vegetation resilience to environmental stresses. The present study aims to develop a rapid, nondestructive, and large-area tea tree assessment method by combining crop physiological measurements and Unmanned Aerial Vehicle (UAV) multispectral images. Additionally, the differences in physiological performance and growth status of natural-based and conventional-based tea tree practices were discussed. Furthermore, the correlation between physiological measurements and spectral vegetation indexes was analyzed. The preliminary results have shown that the natural-based practice tea trees present high resilience, and the red edge spectral band has a higher correlation with crop physiological measurements. The proposed rapid, nondestructive, and large-area tea tree assessment method demonstrates a great opportunity for tea tree cultivation and management and future applications on early warning in the current extreme climate.