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.


Document Your Code with Jupyter Notebooks

2 part series
This series teaches you to use Jupyter Notebooks formats to document code and efficiently publish code results & outputs.

Introduction to Light Detection and Ranging (LiDAR) – Explore Point Clouds and Work with LiDAR Raster Data in R

6 part series
In this series we cover the basics of lidar data including 3 key lidar data products - the Canopy Height Model, Digital Surface Model (DSM) and the Digital Terrain Model (DTM). We explore lidar point clouds using the free, online 3d point cloud viewer. Finally, we cover working with LiDAR derived rasters in R.

Introduction to Hyperspectral Remote Sensing Data

5 part series
In this series, we cover the basics of working with NEON hyperspectral remote sensing data. We cover the principles of hyperspectral data, how to open hyperspectral data stored in HDF5 format in R and how to extract bands and create rasters in GeoTiff format. Finally we explore extracting a hyperspectral - spectral signature from one pixel using R.

Introduction to Hierarchical Data Format (HDF5) - Using HDFView and R

6 part series
In this series we cover what a HDF5 format is, and how to open, read, create HDF5 files in R. We also cover extracting and plotting data from HDF5 files.

Version Control with GitHub

7 part series
This series teaches why version control is important and how to use a common version control tool, GitHub. GitHub also allows for collaboration within the environment.


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