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QGIS Python Programming Cookbook

You're reading from   QGIS Python Programming Cookbook Over 140 recipes to help you turn QGIS from a desktop GIS tool into a powerful automated geospatial framework

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Product type Paperback
Published in Mar 2015
Publisher
ISBN-13 9781783984985
Length 340 pages
Edition 1st 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 (11) 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 Index

Using the Bing aerial image service


While there are many services that provide street map tiles, there are far fewer services that provide imagery services. One excellent free service for both maps and, more importantly, imagery is Microsoft's Bing map services. We can access Bing imagery programmatically in QGIS using GDAL's WMS capability coupled with virtual files.

Getting ready

You don't need to do any preparation for this recipe other than opening the Python console plugin within QGIS.

How to do it...

Similar to the approach used for the previous Using the OpenStreetMap service recipe, we will create an XML file as a string to describe the service, turn it into a GDAL virtual file, and load it as a raster in QGIS. To do this, we need to perform the following steps:

  1. First, we import the GDAL library:

    from osgeo import gdal
    
  2. Next, we create the XML file, describing the Bing service as a string:

    xml = """<GDAL_WMS>
      <Service name="VirtualEarth">
        <ServerUrl>
          http:/...
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