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.

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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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