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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
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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 FREE CHAPTER 2. Querying Vector Data 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

Creating a KML image overlay for a raster


Google Earth is one of the most widely available geospatial viewers in existence. The XML data format used by Google Earth for geospatial data is called KML. The Open Geospatial Consortium adopted KML as a data standard. Converting rasters into a KML overlay compressed in a KMZ archive file is a very popular way to make data available to end users who know how to use Google Earth.

Getting ready

We will use the SatImage raster again available at the following URL if you haven't downloaded it from previous recipes:

https://github.com/GeospatialPython/Learn/raw/master/SatImage.zip

Place this raster in your /qgis_data/rasters directory.

How to do it...

In this recipe, we'll create a KML document describing our image. Then we'll convert the image to a JPEG in memory using GDAL's specialized virtual file system and write all of the contents directly to a KMZ file using Python's zipfile module.

  1. Start QGIS.

  2. From the Plugins menu, select Python Console.

  3. We need...

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