Modelling error evaluation of ground observed vegetation parameters

To verify large-scale vegetation parameter measurements, the average value of sampling points from small-scale data is typically used. However, this method undermines the validity of the data due to the difference in scale or an inappropriate number of sampling points. A robust universal error assessment method for measuring ground vegetation parameters is, therefore, needed. Herein, we simulated ...