Book Image

Geospatial Development By Example with Python

By : Pablo Carreira
5 (1)
Book Image

Geospatial Development By Example with Python

5 (1)
By: Pablo Carreira

Overview of this book

From Python programming good practices to the advanced use of analysis packages, this book teaches you how to write applications that will perform complex geoprocessing tasks that can be replicated and reused. Much more than simple scripts, you will write functions to import data, create Python classes that represent your features, and learn how to combine and filter them. With pluggable mechanisms, you will learn how to visualize data and the results of analysis in beautiful maps that can be batch-generated and embedded into documents or web pages. Finally, you will learn how to consume and process an enormous amount of data very efficiently by using advanced tools and modern computers’ parallel processing capabilities.
Table of Contents (17 chapters)
Geospatial Development By Example with Python
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Summary


In this chapter, we understood how remote sensing images are represented inside the computer as arrays and how we can use this characteristic to process them. We saw that, in order to use images on a map, it is common that we need to transform them to achieve better results. Then, we wrote processing functions to process the digital elevation model images, ending with a beautiful shaded relief map. Finally, we created a RasterData class and transformed our functions into the methods of this class. With a few additional changes, we made it possible to chain these methods into a processing pipeline.

In the next chapter, we will explore the data in the images and obtain valuable information.