NDVI-based grassland biomass model has been widely used for evaluating the growth and productivity of grassland communities, since remote sensing technology is able to monitor wide area with strong timeliness. Based on regression relation between grassland biomass and NDVI from the literature during 2000 – 2018, we built the dataset of regression relation between grassland biomass and NDVI in China. The dataset contains 12 types of grassland regression relationships between biomass and NDVI, each relationship type contains 4 kinds of regression expression, i.e., unitary linear, power, exponential and logarithmic relationships. Besides, grassland regionalization, distribution area, suitable period, NDVI data resources, NDVI temporal resolution and NDVI spatial resolution were compiled. This dataset provides important data resources for evaluating Chinese grassland productivity, grassland ecosystem carrying capacity, carbon cycle, and ecological protection.

NDVI-based grassland biomass model has been widely used for evaluating the growth and productivity of grassland communities, since remote sensing technology is able to monitor wide area with strong timeliness. Based on regression relation between grassland biomass and NDVI from the literature during 2000 – 2018, we built the dataset of regression relation between grassland biomass and NDVI in China. The dataset contains 12 types of grassland regression relationships between biomass and NDVI, each relationship type contains 4 kinds of regression expression, i.e., unitary linear, power, exponential and logarithmic relationships. Besides, grassland regionalization, distribution area, suitable period, NDVI data resources, NDVI temporal resolution and NDVI spatial resolution were compiled. This dataset provides important data resources for evaluating Chinese grassland productivity, grassland ecosystem carrying capacity, carbon cycle, and ecological protection.