This repository hosts tools and resources for analyzing full waveform lidar data, covering tasks such as data collection, cleaning, analysis, feature extraction, engineering, and modeling. Each directory focuses on a specific aspect of waveform lidar processing and includes all necessary resources, updated regularly as needed.
Noise-addition-to-simdata: Tools for adding realistic noise to simulated full-waveform lidar data.Signal-deconvolution: Tools for correcting for the system response in full-waveform lidar data.Lidar_scan_setting.ipynb: Python notebook file for determining parameters required for DIRSIG based waveform lidar simulation .
Future updates will include additional modules for data processing and trait modeling.
We welcome suggestions and contributions to improve the repository.
Contact: rb1005@rit.edu for potential collaborations.