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.


Plot a Spectral Signature in Python

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

Calculate NDVI & Extract Spectra Using Masks in Python

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

Classification of Hyperspectral Data with Support Vector Machine (SVM) Using SciKit in Python

Learn to classify spectral data using the Support Vector Machine (SVM) method.

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

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

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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