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
Open HDF5 files with Python Sample Code
|
Plas.io: Free Online Data Viz to Explore LiDAR Data
|
Plot a Spectral Signature in Python - Tiled Data
|
Plot Continuous & Discrete Data Together
|
Plot Spectral Signatures Derived from Hyperspectral Remote Sensing Data in HDF5 Format in R
|
Plotting a NEON RGB Camera Image (GeoTIFF) in Python
|
Plotting and Clustering Megapit Soils Data
|
Primer on Raster Data in R
|
Publish Code - From R Markdown to HTML with knitr
|
Quantifying The Drivers and Impacts of Natural Disturbance Events – The 2013 Colorado Floods |
Raster 00: Intro to Raster Data in R
|
Raster 01: Plot Raster Data in R
|
Raster 02: When Rasters Don't Line Up - Reproject Raster Data in R
|
Raster 03: Raster Calculations in R - Subtract One Raster from Another and Extract Pixel Values For Defined Locations
|
Raster 04: Work With Multi-Band Rasters - Image Data in R
|
Raster 05: Raster Time Series Data in R
|
Raster 06: Plot Raster Time Series Data in R Using RasterVis and Levelplot
|
Raster 07: Extract NDVI Summary Values from a Raster Time Series
|
Raster Data in R - The Basics
|
Resources for Learning R
|
Select pixels and compare spectral signatures in R
|
Set up GitHub Working Directory - Quick Intro to Bash
|
Spatial Data Tutorial Series Capstone Challenges
|
Subsetting NEON HDF5 hyperspectral files to reduce file size
|
The Basics of LiDAR - Light Detection and Ranging - Remote Sensing
|
The Importance of Reproducible Science
|
The Relationship Between Raster Resolution, Spatial Extent & Number of Pixels
|
Time Series 00: Intro to Time Series Data in R - Managing Date/Time Formats & Simple Plots using ggplot2
|
Time Series 01: Why Metadata Are Important: How to Work with Metadata in Text & EML Format
|
Time Series 02: Dealing With Dates & Times in R - as.Date, POSIXct, POSIXlt
|