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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

Processing remote sensing images and data


Satellite images come in a different format and serve different purposes. These images can be used to visualize features on Earth using real colors or they may be used to identify a variety of characteristics using parts of the spectrum invisible to the human eye.

As we saw, our sample image had three channels (blue, green, and red) that were combined in a single file to compose a real color image. Different from the sample image, most satellite data comes with each channel separated into a file for each one of them. These channels are called bands and comprise of a range of the electromagnetic spectrum visible or not to the human eye.

In the following examples, we are going to use the digital elevation models (DEM) generated with the data obtained by the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER).

These DEM have a resolution of approximately 90 m and the values are stored in the 16 bits signed integers representing the...

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