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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 FREE CHAPTER 2. The Geocaching App 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

Chapter 6. Working with Remote Sensing Images

In this chapter, we will start working with images—images that may come from a variety of sensors carried by satellites, drones, airplanes, and so on. These types of images, the ones collected from remote sensing devices, are images that contain pixels representing a spectral response from a given geographic region.

Besides just adding images to a map, it is important to prepare the images to be presented on the map. You may need to combine, cut, change the resolution, change values, and perform many other transformations in order to produce a visually appealing map or valuable information.

To perform these transformations on the images, we will go through a process of deduction that will result in a versatile and powerful software structure.

The topics covered here are:

  • Understanding how the images are represented
  • The relation of the images with the real world
  • Combining, cropping, and adjusting the values of the images
  • Creating shaded...
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