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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

Obtaining the width and height of a raster


All raster layers have a width and height in pixels. Because remote sensing data can be considered an image as well as an array or matrix, you will often see different terms used, including columns and rows or pixels and lines. These different terms surface many times within the QGIS API.

Getting ready

We will use the SatImage raster again, which is available at https://github.com/GeospatialPython/Learn/raw/master/SatImage.zip.

Place this raster in your /qgis_data/rasters directory.

How to do it...

  1. Start QGIS.

  2. From the Plugins menu, select Python Console.

  3. In the Python console, load the layer and ensure that it is valid:

            rasterLyr = QgsRasterLayer("/qgis_data/rasters/satimage.tif",
                                       "Satellite Image") 
            rasterLyr.isValid() 
    
  4. Check the name of the SatImage after unzipping.

  5. Obtain the layer's width, which should be 2592:

            rasterLyr.width() 
    
  6. Now, get the raster's height, which will return 2693:

            rasterLyr...
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