![]() Library ( sf ) library ( raster ) library ( ggplot2 ) out <- 'outputs_raster_ts' dir.create ( out, showWarnings = FALSE ) Load packages, define global variables, and take care of remaining logistics at Perform Principal Component Analysis (PCA) on raster “bricks”.Use MODIS derived Normalized Difference Vegetation Index (NDVI) rasters. ![]() Distinguish raster “stacks” from raster “bricks”.Find “unusual” pixels in time-series of raster data.Observe characteristics of wildfires in remote sensing data.This lesson provides an overview of using raster, the namesake package in R, to create a raster time series of wildfires in Alaska. The raster library is a powerful open-source geographical data analysis tool used to manipulate, analyze, and model spatial raster data.Ī raster is a grid of pixel values-in the world of geospatial data, the grid is associated with a location on Earth’s surface. Handouts for this lesson need to be saved on your computer.Īnd unzip this material into the directory (a.k.a. ![]()
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