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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

Counting raster bands


A raster might have one or more bands. Bands represent layers of information within a raster. Each band has the same number of columns and rows.

Getting ready

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

Place this raster in your /qgis_data/rasters directory.

How to do it...

We will load the layer and then print the band count to the console. To do this, we need to perform the following steps:

  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",
                                       "Sat Image") 
            rasterLyr.isValid() 
    
  4. Now, get the band count, which should be 3 in this case:

            rasterLyr.bandCount() 
    

How it works...

It is important to note that raster bands are not zero-based indexes. When you want to access the first band, you reference it as 1 instead of 0...

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