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]

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Classify a Raster Using Threshold Values in Python - 2018

Learn how to read NEON lidar raster GeoTIFFs (e.g., CHM, slope, aspect) into Python numpy arrays with gdal and create a classified raster object.

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

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

Plot a Spectral Signature in Python - Tiled Data

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

Plotting a NEON RGB Camera Image (GeoTIFF) in Python

This lesson is a brief introduction to RGB camera images and the GeoTIFF raster format in Python.

Using neonUtilities in Python

20 minutes
Use the neonUtilities R package in Python, via the rpy2 library.

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