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QGIS Python Programming Cookbook, Second Edition

You're reading from   QGIS Python Programming Cookbook, Second Edition Automating geospatial development

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781787124837
Length 464 pages
Edition 2nd Edition
Languages
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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 (10) Chapters Close

Preface 1. Automating QGIS 2. Querying Vector Data FREE CHAPTER 3. Editing Vector Data 4. Using Raster Data 5. Creating Dynamic Maps 6. Composing Static Maps 7. Interacting with the User 8. QGIS Workflows 9. Other Tips and Tricks

Mosaicing rasters


Mosaicing rasters is the process of fusing multiple geospatial images with the same resolution and map projection into one raster. In this recipe, we'll combine two overlapping satellite images into a single dataset.

Getting ready

You will need to download the overlapping dataset from https://github.com/GeospatialPython/Learn/raw/master/overlap.zip if you haven't downloaded it from a previous recipe.

Place the two images in your /qgis_data/rasters/ directory.

How to do it...

This process is relatively straightforward and has a dedicated algorithm within the Processing Toolbox. Perform the following steps:

  1. Start QGIS.

  2. From the Plugins menu, select Python Console.

  3. Run the gdalogr:merge algorithm, specifying the process name, two images, a boolean to use the pseudocolor palette from the first image, a boolean to stack each image into a separate band, and the output filename:

            processing.runalg("gdalogr:merge",
                              "/qgis_data/rasters/Image2.tif;
          ...
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