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Geospatial Development By Example with Python

Geospatial Development By Example with Python

By : Pablo Carreira
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Geospatial Development By Example with Python

Geospatial Development By Example with Python

5 (4)
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 (12 chapters)
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11
Index

Improving the image resolution


In order to obtain a better image for visual analysis, we can combine different techniques to increase the image resolution. The first one changes the size of the image and recalculates the missing data by interpolation. The second one uses a band of higher resolution (band 8, in our case)—combined with bands in a lower resolution—to produce an improved true color map.

Image resampling

Image resizing or resampling is a technique to change the size of the image. By doing this we change the number of pixels in it (that is, the number of samples) or vice-versa.

As the size of an image is increased, we need to give a value to pixels that didn't exist before. This is done by interpolation; the new pixel value is given based on the value of its surrounding pixels. That's why we needed two-dimensional chunks.

In our first trial, we will resample one 30m-resolution band into a 15m-resolution image. Since we will perform a lot of tests, let's start by creating a practical...

Visually different images
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