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]


Introduction to working with PhenoCam Images

4 part series
This series provides instruction on how to work with phenocam images, including those from NEON sites. Many of the techniques can be applied to any repeat RGB photography.

Interacting with the PhenoCam Server using phenocamapi R Pacakge

0.5 hrs
Learn the basics of how to extract PhenoCam data and metadata through the Phenocam API

Extracting Timeseries from Images using the xROI R Package

0.5 hrs
Delineate Region of Interests (ROIs) and Extract Time-Series Data from Digital Repeat Photography Images using xROI

Detecting Foggy Images using the hazer Package

0.5 hrs
Learn how to estimate image haziness in a image as an indication of fog, cloud or other natural or artificial factors using the hazer R package.

Download and Explore NEON Data

1 - 2 hours
Tutorial for downloading data from the Data Portal and the neonUtilities package, then exploring and understanding the downloaded data


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