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Geospatial Development By Example with Python

You're reading from   Geospatial Development By Example with Python Build your first interactive map and build location-aware applications using cutting-edge examples in Python

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Product type Paperback
Published in Jan 2016
Publisher
ISBN-13 9781785282355
Length 340 pages
Edition 1st Edition
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Author (1):
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Pablo Carreira Pablo Carreira
Author Profile Icon Pablo Carreira
Pablo Carreira
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Table of Contents (12) Chapters Close

Preface 1. Preparing the Work Environment 2. The Geocaching App FREE CHAPTER 3. Combining Multiple Data Sources 4. Improving the App Search Capabilities 5. Making Maps 6. Working with Remote Sensing Images 7. Extract Information from Raster Data 8. Data Miner App 9. Processing Big Images 10. Parallel Processing Index

Blending images


We can make our results even more visually appealing and informative if we can combine the colorized image with the shaded relief image. Again, since we are dealing with arrays, we may deduce that this kind of composition can be achieved by performing an arithmetic operation between the two arrays.

In image processing, this is called alpha blending. Basically, a transparency is applied to both of the images and then they are blended into a new one. In the next steps, we are going to create a function that performs this operation:

  1. First, to avoid generating the shaded relief multiple times, let's save it on the disk and edit the if __name__ == '__main__': block of the raster_data.py file:

    if __name__ == '__main__':
        raster_data = RasterData('output/dem.tif')
        raster_data.adjust_values().create_hillshade(
            10, 60).write_image('output/shaded.png')
  2. Run the code and check whether the image was correctly written on the disk.

  3. Now, add the alpha_blend method to the RasterData...

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