|
|
Exercise 3: Land cover and land use classification  Objective: To produce a thematic map showing forests, lava, snow, agricultural areas, lakes and urban centres. Also, to determine the distribution and surfaces of land cover and land use classes in the Villarrica Volcano sector of the Araucanía Region.
Data: For this exercise you will be using the same data as in Exercise 1. Use the Villarrica-RGB-4-5-3.tif image created in Exercise 1. The classification of a satellite image involves assigning all the pixels in an image to specific land use/land cover classes. These classes need to be predefined. This is part of the Classification process. It requires knowledge of the area, the land use, and land cover. A classified image is therefore a thematic map that shows the distribution of selected land use/land cover classes. In order to produce a Supervised Classification, training fields need to be identified and defined for each class.
Draw polygones to define your training fields for each land use/land cover class in the Villarrica-RGB-4-5-3.tif image. Save the selected training fields and classify the scene using the Maximum Likelihood method. Set Threshold to zero and select all bands for the classification.
The result is presented below. Depending on the defined training fields, your result may be different!
Task Describe the spatial distribution and shapes of each class of land use/land cover identified in the processed Villarrica-RGB-4-5-3.tif image. Describe the table showing the distribution of the six classes. Explain the errors in some classes, both intentional and non.
Identify the distribution of classes between Lake Villarrica and the Villarrica volcano cone. Name them in that order.
Last update: 7 January 2014
| ||||||||||||||||||||||||||||||||||||||||||||||||||||
