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.


Assessing Spectrometer Accuracy using Validation Tarps with Python

Learn to analyze the difference between rasters taken a few days apart to assess the uncertainty between days.

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.

Calculate NDVI & Extract Spectra Using Masks in Python

Learn to calculate Normalized Difference Vegetation Index (NDVI) and extract spectral using masks with Python.

Plot a Spectral Signature in Python

Learn how to extract and plot a spectral profile from a single pixel of a reflectance band.

Band Stacking, RGB & False Color Images, and Interactive Widgets in Python

Learn to classify spectral data using the Principal Components Analysis (PCA) method.


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