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QGIS 2 Cookbook

You're reading from   QGIS 2 Cookbook Become a QGIS power user and master QGIS data management, visualization, and spatial analysis techniques

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Product type Paperback
Published in Apr 2016
Publisher
ISBN-13 9781783984961
Length 390 pages
Edition 1st Edition
Tools
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Authors (3):
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Anita Graser Anita Graser
Author Profile Icon Anita Graser
Anita Graser
Víctor Olaya Ferrero Víctor Olaya Ferrero
Author Profile Icon Víctor Olaya Ferrero
Víctor Olaya Ferrero
Alex Mandel Alex Mandel
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Alex Mandel
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Toc

Table of Contents (14) Chapters Close

Preface 1. Data Input and Output 2. Data Management FREE CHAPTER 3. Common Data Preprocessing Steps 4. Data Exploration 5. Classic Vector Analysis 6. Network Analysis 7. Raster Analysis I 8. Raster Analysis II 9. QGIS and the Web 10. Cartography Tips 11. Extending QGIS 12. Up and Coming Index

Calculating NDVI


The Normalized Differential Vegetation Index is a very popular vegetation index that gives us useful information about the presence or absence of live green vegetation.

Getting ready

NDVI is calculated using a band with red spectral reflectance values, and another one with near-infrared reflectance values. In the sample dataset, you will find two image files named red.tif and nir.tif that can be used to compute NDVI. A project named ndvi.qgs is available, which contains these two layers and a landsat image corresponding to this same area. Open this project.

How to do it…

  1. Open the Processing Toolbox menu and find the algorithm called Vegetation index[slope based]. Double-click on the algorithm item to execute it:

  2. Select the red.tif layer in the Red Band field and the nir.tif layer in the Near Infrared Band field. Click on Run to run the algorithm.

  3. The algorithm will produce a set of layers with different vegetation indices, NDVI is among them:

How it works…

All vegetation indices...

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