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

Learn to efficiently work with flightline NEON AOP spectral data using functions.

Calculate NDVI & Extract Spectra Using Masks in Python - Flightline Data

Learn to calculate Normalized Difference Vegetation Index (NDVI) and extract spectral using masks with Python from NEON flighline AOP hyperspectral data products.

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.

Document & Publish Your Workflow: Jupyter Notebooks

This tutorial introduces the importance of tools supporting documenting & publishing a workflow using the Python kernel of Jupyter Notebooks.

Assignment: Reproducible Workflows with Jupyter Notebooks

This page details how to complete the assignment for pre-Institute week 3 on documenting your code with Jupyter Notebooks.

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