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.


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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