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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

Swapping image bands

Our eyes can only see colors in the visible spectrum as combinations of red, green, and blue (RGB). Air- and space-borne sensors can collect wavelengths of the energy outside of the visible spectrum. To view this data, we must move images representing different wavelengths of light reflectance in and out of the RGB channels to make color images.

These images often end up as bizarre and alien color combinations that can make visual analysis difficult. An example of a typical satellite image is shown in the following Landsat 7 satellite scene along the Gulf of Mexico, which is a leading center for remote sensing and geospatial analysis in general:

Figure 7.1 – A false-color satellite image along the Gulf of Mexico

Figure 7.1 – A false-color satellite image along the Gulf of Mexico

Most of the vegetation appears red and the water appears almost black. This image is a type of false-color image, meaning the color of the image is not based on the RGB light. However, we can change the order of the...

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