Estimating the Optimal Threshold for Accuracy Assessment of the Global Ecosystem Dynamics Investigation (GEDI) Data in a Gentle Relief Urban Area

LiDAR is an excellent source of elevation data used in many surveys. The spaceborne handle system, Global Ecosystem Dynamics Investigation (GEDI), provides ground information with high accuracy except for areas steep slopes. GEDI have a lot noise from atmospheric conditions, and therefore filtering procedures are mandatory to select the best dataset. dataset presents uncertainties different magnitudes, values reaching more than 100 m difference between reference data. challenge find criterion determine threshold filter accurate samples. This research aims identify based on maximum number samples low RMSE values. Therefore, we Kolmogorov–Smirnov (KS) non-parametric test define normal distribution. Our results demonstrated lower value when compared quality flag parameter threshold, even using sensitivity thresholds. method useful achieving possible worldwide.