Author: CSDN @ _Yakult_
GEDI is a lidar earth observation mission launched by NASA (National Aeronautics and Space Administration) to obtain three-dimensional structure information of ecosystems around the world. In this blog, we will describe how to process and visualize GEDI (Global Ecosystem Dynamics Investigation) lidar data using Python.
This article will introduce how to extract the waveform data of the laser altimetry data points identified in the GEDI (Global Ecosystem Dynamics Investigation) lidar data, and extract the waveform data to a csv file, in preparation for subsequent data denoising, filtering, and tree height feature extraction.
The result is shown in the figure below,
Article Directory
1. Data extraction
For GEDI waveform data extraction, please refer to the blog:
"python: GEDI waveform data extraction"