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Geospatial Development By Example with Python by Pablo Carreira

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Chapter 9. Processing Big Images

Processing satellite images (or other remote sensing data) is a computational challenge for two reasons: normally, the images are big (many megabytes or gigabytes) and many images are needed in combination to produce the desired information.

Opening and processing many big images can consume a lot of computer memory. This condition sets a tight limit on what the user can do before running out of memory.

In this chapter, we will focus on how to perform sustainable image processing and how to open and make calculations with many big images while keeping the memory consumption low with efficient code.

The following topics will be covered:

  • An introduction to satellite images and Landsat 8 data
  • How to select and download ...

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