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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 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

Getting the cell size of a raster layer


The first key element of a geospatial raster is the width and height in pixels. The second key element is the ground distance of each pixel, also called the pixel size. Once you know the cell size and a coordinate somewhere on the image (usually the upper-left corner), you can begin using remote sensing tools on the image. In this recipe, we'll query the cell size of a raster.

Getting ready

Once again, we will 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 raster as a layer and then use the QgsRasterLayer API to get the cell size for the x and y axis. To do this, we need to perform the following steps:

  1. Start QGIS.

  2. From the Plugins menu, select Python Console.

  3. Load the layer and validate it:

            rasterLyr = QgsRasterLayer("/qgis_data/rasters/satimage.tif",
                                       "Satellite Image") ...
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