This repository provides the code used to create the results presented in "Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles".
Hello, I have met the question.
Everything is ok, when i use the demo dataset, i can predict the canopy height of my research GEDI waveforms.
When the ensemble model is trained with my own dataset, the train result is ok, although the train precision is weak (RMSE=7. ~9.). But I can't predict the test GEDI waveforms even though the test waveforms are the subset of the train dataset. I try to adjust the model parameter (net/batch size/optimizer/...), no help.
TRAIN RESULT
the TEST RESULT
Would someone help me?THANKS!!!
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