python: Gaussian filtering on GEDI data

Author: CSDN @ _Yakult_

In this blog, we will learn how to use Python to perform Gaussian filtering on GEDI (Global Ecosystem Dynamics Investigation) lidar data. Gaussian filtering is a smoothing filtering method, which can effectively reduce noise and mutation, and improve the smoothness and continuity of data. We will use pandas and the scipy.signal library to read GEDI data and apply Gaussian filtering.

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1. Waveform data extraction

Waveform data extraction reference blog: "python: GEDI a data point waveform data extraction and save to csv file"

Two, the code explained in detail

import pandas 

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Origin blog.csdn.net/qq_35591253/article/details/131868076