Dataset on Spatiotemporal Variation Trends of NPP in Southeastern Tibet (2000–2021)

All data processing was conducted on the Google Earth Engine (GEE) platform.Regarding trend analysis methodology, this dataset employs the Theil-Sen slope estimator and the Mann-Kendall non-parametric trend test to analyze the pixel-wise NPP time series. The Theil-Sen slope is utilized to estimate the rate of NPP change: a slope greater than 0 indicates an upward trend in NPP over time, while a slope less than 0 indicates a downward trend.

The Mann-Kendall trend test is applied to assess the statistical significance of long-term NPP changes; based on the Z-statistic, these changes are categorized into three classes: significant increase (Z > 1.65), no significant change, and significant decrease (Z < -1.65).Within the dataset, the numerical value assigned to each pixel represents a specific category of forest NPP change: 0 indicates a non-forest area; values ​​of 1, 2, -1, -2, and 10 indicate no significant change in NPP; values ​​of 3 and 4 indicate a significant increase in NPP; and values ​​of -3 and -4 indicate a significant decrease in NPP.