Exercise 2: Land cover classification Page12
Now that you have become familiar with the Córdoba area, we are going to create a land cover map. This will be done by supervised classification, meaning that the information to map the image for different land cover classes will come from an external source. An algorithm in the software will compare the values in each pixel with the information provided, and will calculate to which class the pixel is most related. Land cover classification
Open LEOWorks
For LEOWorks3: Open the 2009_cordoba_B1.tif image Now repeat the process for the other 2009 bands. To perform a supervised classification, we need predefined information. This information was provided to you in the form of the files class Urban.shp, Bare soil.shp and Vegetation.shp (LEOWorks4) trainingfields2009 (LEOWorks3) We are first going to investigate these training fields. In order to do this, we need an RGB image. Display band 4 in red, band 5 in green, and band 3 in blue, in order to create a false colour composite, just like you did in the previous exercise. Go to Tools - Classification – Supervised - and create 3 classes: Urban, Bare soil, and Vegetation. Import the training fields TF from shapfile (see the LEOWorks Tutorial for more detailed instructions).
For LEOWorks3: Select Multivariate Analysis- Supervised Classification-Select Trainingfields-Open Trainingfields: trainingfields2009.
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Last update: 23 October 2013
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