Tutorials
Image

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]
Tutorials
HDFView: Exploring HDF5 Files in the Free HDFview Tool
|
Hierarchical Data Formats - What is HDF5?
|
Hyperspectral Variation Uncertainty Analysis in Python
|
Image Raster Data in R - An Intro
|
Install & Set Up Docker For Use With eddy4R
|
Install Git, Bash Shell, Python
|
Install Git, Bash Shell, R & RStudio |
Install QGIS & HDF5View
|
Installing & Updating Packages in R
|
Interacting with the PhenoCam Server using phenocamapi R Package
|
Interactive Data Vizualization with R and Plotly
|
Intro to Vector Data in R
|
Intro to Working with Hyperspectral Remote Sensing Data in HDF5 Format in R
|
Introduction to HDF5 Files in R
|
Introduction to Hierarchical Data Format (HDF5) - Using HDFView and R
|
Introduction to Hyperspectral Remote Sensing Data
Finally we explore extracting a hyperspectral - spectral signature from one pixel using R. |
Introduction to Light Detection and Ranging (LiDAR) – Explore Point Clouds and Work with LiDAR Raster Data in R
|
Introduction to NEON API in Python
|
Introduction to the National Ecological Observatory Network (NEON)
|
Introduction to using Jupyter Notebooks
|
Introduction to working with NEON eddy flux data
|
Introduction to working with PhenoCam Images
|
Introduction to Working with Raster Data in R
|
Introduction to Working With Time Series Data in Text Formats in R
|
Mask a Raster Using Threshold Values in Python
|
Merging GeoTIFF Files to Create a Mosaic
|
Modeling phenology with the R package phenor
|
NEON AOP Hyperspectral Data in HDF5 format with Python - Flightlines
|
NEON AOP Hyperspectral Data in HDF5 format with Python - Tiled Data
|
NEON Data Institute Capstone Project |