Summary
In this chapter we covered the foundations of remote sensing including:
- Band swapping
- Histograms
- Image classification
- Feature extraction
- Change detection
As in the other chapters, we stayed as close to pure Python as possible, and where we compromised on this goal for processing speed, we limited the software libraries as much as possible to keep things simple. But, 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.
Tip
The authors of GDAL have a set of Python examples, which cover some advanced topics that may be of interest: http://svn.osgeo.org/gdal/trunk/gdal/swig/python/samples
In the next chapter we'll investigate elevation data. Elevation data ...
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