Data Tutorials

Looking to improve your data skills using tools like R or Python? Want to learn more about working with a specific NEON data product? NEON develops online tutorials to help you improve your research. These self-paced tutorials are designed for you to used as standalone help on a single topic or as a series to learn new techniques.

Code for all script based tutorials can be downloaded at the end of the tutorial. Original files can also be found on GitHub.

All material are freely available for you to use and reuse. We suggest the following citation:

[AUTHOR(S)]. Data Tutorial:[TUTORIAL NAME]. Accessed:[DATE OF ACCESS]. National Ecological Observatory Network, Battelle, Boulder, CO, USA. [URL]


Create a Hillshade from a Terrain Raster in Python

Learn how to create a hillshade from a terrain raster in Python.

Calculate Vegetation Biomass from LiDAR Data in Python

Learn to calculate the biomass of standing vegetation using a canopy height model data product.

Classification of Hyperspectral Data with Ordinary Least Squares in Python

Learn to classify spectral data using the Ordinary Least Squares method.

Git 07: Updating Your Repo by Setting Up a Remote

This tutorial covers how to set up a repository to update your local repo with any any changes from the central repo.

Plot a Spectral Signature in Python - Flightline Data

Learn how to extract and plot a spectral profile from a single pixel of a reflectance band using the NEON flightline hyperspectral data.


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