“Raster symbology involves assigning colours to pixel values of an image”
This is so that they appear visible and you can easily differentiate between the pixels, thus making it easy to interpret the meaning of each pixel. In this module, we look at the various ways in which pixel values can be assigned colours. We will also briefly look at the properties of the raster and how raster can be blended with different colours so that we highlight particular features.
Goal: To learn to symbolise raster layers and generate DEM products on the fly.
Which render type is best suited for styling the DEM layer you have loaded?
Name | Expectation |
---|---|
Render Type |
Pseudo-colour |
Color ramp |
Spectral but with Inverted colours |
Interpolation |
Linear |
Mode |
Quantile |
Classes |
10 |
Label Suffix |
m |
A raster image can be differentiated with the number of bands it consists of. They are single band image and multispectral images. The symbology of raster is usually determined by the number of bands it consists of. The range of pixels in a single band imagery is determined by the type of raster. It could be a DEM or DTM. QGIS has a range of renders that cater for symbolizing raster data ie Unique Values, Pseudo colour render, Hillshade
Multi-spectral images consist of 3 or more bands. These bands can be used to create a three-band colour composite also known as an RGB. Satellite imagery are a very good example of multispectral images.
When styling raster layers it is important to look at the range for the pixel values and have an understanding of what kind of data it represent so that your colour themes are meaningful.
A Raster is:
What statement best describes the symbology or raster layers:
Raster pixels range from 1 - 255 only:
Download the sample data for the lesson.