Satellite imagery providers deliver not only familiar, easily recognizable RGB images, but also some extra bands of other wavelengths, such as near infrared (NIR) and short-wavelength infrared (SWIR). With FME, we can easily assemble any combinations of bands for analytic purposes, for example, create pseudo-color infrared images or NDVI (Vegetation health) rasters. The presentation goes into details of making images from remote sensing data either by simple band combining (which is usually not that simple) or by using some complicated math (which is often not that complicated). We will go through the list of necessary transformers for such workflows and demonstrate several workspaces producing useful output.
