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QGIS 2 Cookbook

QGIS 2 Cookbook

By : Mandel, Olaya Ferrero, Anita Graser
5 (1)
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QGIS 2 Cookbook

QGIS 2 Cookbook

5 (1)
By: Mandel, Olaya Ferrero, Anita Graser

Overview of this book

QGIS is a user-friendly, cross-platform desktop geographic information system used to make maps and analyze spatial data. QGIS allows users to understand, question, interpret, and visualize spatial data in many ways that reveal relationships, patterns, and trends in the form of maps. This book is a collection of simple to advanced techniques that are needed in everyday geospatial work, and shows how to accomplish them with QGIS. You will begin by understanding the different types of data management techniques, as well as how data exploration works. You will then learn how to perform classic vector and raster analysis with QGIS, apart from creating time-based visualizations. Finally, you will learn how to create interactive and visually appealing maps with custom cartography. By the end of this book, you will have all the necessary knowledge to handle spatial data management, exploration, and visualization tasks in QGIS.
Table of Contents (14 chapters)
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13
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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