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.


Intro to Working with Hyperspectral Remote Sensing Data in HDF5 Format in R

1.0 - 1.5 Hours
Open up and explore a hyperspectral dataset stored in HDF5 format in R. Learn about the power of data slicing in HDF5. Slice our band subsets of the data and create and visualize one band.

Creating a Raster Stack from Hyperspectral Imagery in HDF5 Format in R

1.0 - 1.5 Hours
Open up and explore hyperspectral imagery in HDF format R. Combine multiple bands to create a raster stack. Use these steps to create various band combinations such as RGB, Color-Infrared and False color images.

Raster 05: Raster Time Series Data in R

This tutorial covers how to work with and plot a raster time series, using an R RasterStack object. It also covers the basics of practical data quality assessment of remote sensing imagery.

Raster 06: Plot Raster Time Series Data in R Using RasterVis and Levelplot

This tutorial covers how to efficiently and effectively plot a stack of rasters using rasterVis package in R. Specifically it covers using levelplot and adding meaningful, custom names to band labels in a RasterStack.

Raster 07: Extract NDVI Summary Values from a Raster Time Series

This tutorial covers how to extract and plot NDVI pixel values from a raster time series stack in R. We will use ggplot2 to plot our data.


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