Assessing GEDI LiDAR Data Estimation Accuracy of Canopy Height
Existing research on the selection of Global Ecosystem Dynamics Investigation (GEDI) different algorithms to estimate accuracy of canopy height is insufficient. Based on this,this article uses airborne LiDAR data to verify the accuracy of the canopy height extracted by GE-DI for the Penobscot experimental forest and calculate the R2 and RMSE of two sets of data and conduct significance test analysis to explore the impact of different algorithm selection and data acquisition time on estimation accuracy. The results show that among the six algorithms,Algo-rithm four has the highest accuracy,with R2=0.61,RMSE=5.74 m. For GEDI data obtained at different times,the estimation accuracy of GEDI data obtained at a time similar to that of airborne data is higher.
Full waveform lidarGEDICanopy heightG-LiHTAccuracy assessment
万方数据
维普
