Time-Series Age Dataset of Rubber Plantations in China (1987–2022)

The maps were reconstructed using Landsat time-series analysis, an improved Bi-directional Continuous Change Detection and Classification (BCDC) algorithm, handheld laser scanning (HLS)-derived plot height, and a four-parameter logistic height–age model. The dataset captures the spatial and temporal dynamics of rubber plantation age, including different age classes and their distributions across major rubber-producing regions and environmental gradients.

Validation yielded an RMSE of 2.95 years and an rRMSE of 23.64%. The dataset supports research on rubber plantation dynamics, land-use change, productivity, carbon accumulation, and ecological management.