Raster data is quite different from vector data. Vector data has discrete features constructed out of vertices, and perhaps connected with lines and/or areas. Raster data, however, is like any image. Although it may portray various properties of objects in the real world, these objects don’t exist as separate objects; rather, they are represented using pixels of various different color values.
During this module you’re going to use raster data to supplement your existing GIS analysis.
The goal for this lesson: To learn how to work with raster data in the QGIS environment.
Open your analysis.qgs map (which you should have created and saved during the previous module).
Deactivate all the layers except the solution and important_roads layers.
Click on the Load Raster Layer button:
The Load Raster Layer dialog will open. The data for this project is in exercise_data/raster.
The first thing you’ll notice is that nothing seems to be happening in your map. Are the rasters not loading? Well, there they are in the Layers list, so obviously they did load. The problem is that they’re not in the same projection. Luckily, we’ve already seen what to do in this situation.
The rasters should fit nicely:
There we have it - four aerial photographs covering our whole study area.
Now as you can see from this, your solution layer lies across all four photographs. What this means is that you’re going to have to work with four rasters all the time. That’s not ideal; it would be better to have one file for one (composite) image, right?
Luckily, QGIS allows you to do exactly this, and without needing to actually create a new raster file, which could take up a lot of space. Instead, you can create a Virtual Raster. This is also often called a Catalog, which explains its function. It’s not really a new raster. Rather, it’s a way to organize your existing rasters into one catalog: one file for easy access.
To make a catalog:
Notice the text field below. What this dialog is actually doing is that it’s writing that text for you. It’s a long command that QGIS is going to run.
Keep in mind that the command text is editable, so you can customize the command further if preferred. Search online for the initial command (in this case, gdalbuildvrt) for help on the syntax.
It may take a while to complete. When it’s done, it will tell you so with a message box.
The above methods allow you to virtually merge datasets using a catalog, and to reproject them “on the fly”. However, if you are setting up data that you’ll be using for quite a while, it may be more efficient to create new rasters that are already merged and reprojected. This improves performance while using the rasters in a map, but it may take some time to set up initially.
Note that this tool features a handy batch option for reprojecting the contents of whole directories. You can also reproject virtual rasters (catalogs), as well as enabling a multithreaded processing mode.
You can choose to process entire directories instead of single files, giving you a very useful built-in batch processing capability. You can specify a virtual raster as input file, too, and all of the rasters that it consists of will be processed.
You can also add your own command line options using the Creation Options checkbox and list. This only applies if you have knowledge of the GDAL library’s operation.
QGIS makes it easy to include raster data into your existing projects.
Next, we’ll use raster data that isn’t aerial imagery, and see how symbolization is useful in the case of rasters as well.