Raster 04: Work With Multi-Band Rasters - Image Data in R, NSF NEON

This tutorial explores how to import and plot a multi-band raster in R. It also covers how to plot a three-band color image using the plotRGB() function in R. Learning Objectives After completing this tutorial, you will be able to

Intro to Raster Data – Introductory Geospatial Raster and Vector

Working with Spatial Data in Python - 3 Rasters

Introduction to Working with Raster Data in R, NSF NEON

Intro to AOP Data in Google Earth Engine Tutorial Series

Working with Spatial Data in Python - 3 Rasters

Leaf traits and canopy structure together explain canopy

Introduction to Working with Raster Data in R, NSF NEON

Image Raster Data in R - An Intro, NSF NEON

Working with Raster data — Geospatial Analysis with Python and R

Raster 04: Work With Multi-Band Rasters - Image Data in R

Introduction to Working with Raster Data in R, NSF NEON

Introduction to Working with Raster Data in R, NSF NEON

Working with Raster data — Geospatial Analysis with Python and R

Introduction to Working with Raster Data in R, NSF NEON

Stack and Crop Raster Data Using EarthPy — EarthPy 0.9.4 documentation