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 Learning Geospatial Analysis with Python

You're reading from   Learning Geospatial Analysis with Python Unleash the power of Python 3 with practical techniques for learning GIS and remote sensing

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Product type Paperback
Published in Nov 2023
Publisher Packt
ISBN-13 9781837639175
Length 432 pages
Edition 4th Edition
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Author (1):
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Joel Lawhead Joel Lawhead
Author Profile Icon Joel Lawhead
Joel Lawhead
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Table of Contents (18) Chapters Close

Preface 1. Part 1:The History and the Present of the Industry
2. Chapter 1: Learning about Geospatial Analysis with Python FREE CHAPTER 3. Chapter 2: Learning about Geospatial Data 4. Chapter 3: The Geospatial Technology Landscape 5. Part 2:Geospatial Analysis Concepts
6. Chapter 4: Geospatial Python Toolbox 7. Chapter 5: Python and Geospatial Algorithms 8. Chapter 6: Creating and Editing GIS Data 9. Chapter 7: Python and Remote Sensing 10. Chapter 8: Python and Elevation Data 11. Part 3:Practical Geospatial Processing Techniques
12. Chapter 9: Advanced Geospatial Modeling 13. Chapter 10: Working with Real-Time Data 14. Chapter 11: Putting It All Together 15. Assessments 16. Index 17. Other Books You May Enjoy

Creating a color hillshade

In this example, we’ll combine previous techniques to combine our terrain hillshade from Chapter 8, Python and Elevation Data, with the color classification that we used on the LIDAR. For this example, we’ll need the ASCII Grid DEMs named dem.asc and relief.asc that we used in the previous chapter.

We’ll create a colorized DEM and a hillshade and then use PIL to blend them together for an enhanced elevation visualization. The code comments will guide you through the example, as many of these steps are already familiar to you.

So, let’s dive into this code to understand how it generates a hillshade image by blending a DEM with a shaded relief background. The code uses the PIL for image manipulation and GDAL for geospatial operations:

  1. First, we import the necessary libraries. GDAL is for geospatial operations, and PIL is for image processing:
    from osgeo import gdal_array as gd
    try:
        import Image...
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