A NEON #DataSkills Workshop
Date: 14 May 2015
This workshop will provide hands on experience with working lidar data in raster format in R. It will cover the basics of what lidar data are and commonly derived data products.
Goals / ObjectivesAfter completing this workshop, you will:
- Know what lidar data are and how they're used in science.
- Understand the key lidar data products - Digital Surface model, digital terrain model and canopy height model.
- know how to work with, analyze and export results of lidar derived rasters in R.
Things to Do Before the Workshop
Download The DataNational Ecological Observatory Network's San Joaquin Experimental Range and Soaproot Saddle field sites. This data is intended for educational purposes, for access to all the data for research purposes visit the NEON Data Portal. National Ecological Observatory Network's Airborne Observation Platform group. The .las file format is a commonly used file format to store LIDAR point cloud data.
Setup RStudioTo participate in the workshop, we recommend that you come with R and RSTUDIO installed. R is a programming language that specializes in statistical computing. It is a powerful tool for exploratory data analysis. To interact with R, we STRONGLY recommend RStudio, an interactive development environment (IDE).
Install R PackagesYou can chose to install each library individually if you already have some installed. Or you can download the script below and run it to install all libraries at once.
- raster - install.packages("raster")
- sp (installs with the raster library) - install.packages("sp")
- rgdal - install.packages("rgdal")
- maptools - install.packages("maptools")
- ggplot2 - install.packages("ggplot2")
- rgeos - install.packages("rgeos")
- dplyr - install.packages("dplyr")
Read Background Materials
- The basics of working with Rasters in tools like R and Python
- A brief introduction to Lidar Data
- About the basic Lidar Derived Data Products - CHM, DEM, DSM
|12:00||Working with Raster Data in R|
|12:45||Working With Image Formatted Rasters in R|
|1:15||Brief Overview of Lidar Data & Lidar derived rasters|
|1:20||Explore with Lidar Point Clouds in a free online viewer: plas.io|
|1:45||Working with Lidar Derived raster products in R|
|2:30||Capstone - Create NDVI from Geotiffs in R|
|2:50||Wrap-up, Feedback, Questions|
QGIS is a cross-platform Open Source Geographic Information system.
Online LiDAR Data Viewer (las viewer)
http://plas.io is a Open Source LiDAR data viewer developed by Martin Isenberg of Las Tools and several of his colleagues.