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.

Please note this section is currently under development, to explore additional tutorials in the interim, visit our older NEON Data Skills portal.

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What is a CHM, DSM and DTM? About Gridded, Raster LiDAR Data

0.25 - 0.5 Hours
Understand LiDAR data product formats and learn the basics of how a LiDAR data are processed.

Create a Canopy Height Model from LiDAR-derived Rasters in R

0.5 Hours
In this tutorial, you will bring LiDAR-derived raster data (DSM and DTM) into R to create a canopy height model (CHM).

The Basics of LiDAR - Light Detection and Ranging - Remote Sensing

0.25 Hours
Explore the basics of how a LiDAR system works and what a LiDAR system measures.

The Importance of Reproducible Science

1.0 Hour
This page outlines the tools and resources that you will need to complete the Data Institute activities.

Set up GitHub Working Directory - Quick Intro to Bash

1.0 - 1.5 Hours
This page reviews how to check that github is installed on your computer. It also provides a quick overview of Bash shell. Finally, we will setup a working GitHub directory.

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