A 500-m Annual Net Primary Productivity Dataset of the Qingzang Plateau(2001–2024)

This dataset enables the spatiotemporal dynamic system estimation of vegetation NPP over the entire Qingzang Plateau at a resolution of 500 meters for 24 consecutive years from 2001 to 2024. 1) Using the 2021 version of the Qingzang Plateau boundary data, developed by Zhang Yili et al. using the 2021 version of the Qingzang Plateau boundary data. 2) Utilizing the computing advantages of the Google Earth Engine (GEE) cloud platform, high-precision TerraClimate meteorological driving data and MODIS remote sensing parameters are used to calculate NPP through an improved CASA (Carnegie Ames Stanford Approach) model. 3) There are very few weak negative values in the dataset due to residual sensor noise or mathematical truncation of the model.

Due to the extremely sparse spatial distribution of these negative pixels and their minimal impact on the estimation of macroscopic carbon sink total (accounting for far less than 0.01%), in order to maintain the integrity of the original statistical characteristics of the data, this study only used MCD12Q1 (IGBP) land cover products to physically mask and remove non vegetation areas such as water bodies and permanent ice and snow, without forcibly zeroing trace negative values within vegetation coverage areas. 4) Contains multiple TIF files, each corresponding to year (YYYY) NPP data with Final_QTP_NPP_Scientnce_YYYY.