In this chapter, we covered the foundations of remote sensing including band swapping, histograms, image classification, feature extraction, and change detection. As in the other chapters, we stayed as close to pure Python as possible, and where we compromised on this goal for the processing speed, we limited the software libraries as much as possible to keep things simple. However, if you have the tools from this chapter installed, you really have a complete remote sensing package that is limited only by your desire to learn.
The authors of GDAL have a set of Python examples, which cover some advanced topics that may be of interest:
In the next chapter, we'll investigate elevation data. Elevation data doesn't fit squarely in GIS or remote sensing as it has elements of both types of processing.