October 2013
Beginner to intermediate
364 pages
8h 8m
English
Content preview from Learning Geospatial Analysis with PythonBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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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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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.