Multitemporal Classification
We will repeat the same process for the images of 31 and 15 January 2003.
Multivariate Analysis >Supervised Classification > Select Training Fields
Multivariate Analysis >Supervised Classification > Maximum Likelihood.
Open 4-5-3 of the images ny_landsat_2003-01-31.tif and ny_landsat_2003-01-15.tif and check if the training fields need to be modified. Ideally the training fields should stay the same, but changes occurred over time (volcanic lava, deforestation, urbanisation, etc).
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Nyiragongo and Nyamuragira
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| Introduction (http://www.esa.int/SPECIALS/Eduspace_Disasters_EN/SEMDGLNSNNG_0.html) |
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Change detection and hazard assessment
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| Worksheet introduction (http://www.esa.int/SPECIALS/Eduspace_Disasters_EN/SEM5NUMSNNG_0.html) |
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| Exercise 1: Exploring and learning about the volcano (http://www.esa.int/SPECIALS/Eduspace_Disasters_EN/SEMV2MNSNNG_0.html) |
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| Exercise 2: Lava Detection using Supervised Classification (http://www.esa.int/SPECIALS/Eduspace_Disasters_EN/SEM1LSNSNNG_0.html) |
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Eduspace - Download
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| Nyiragongo_Landsat.zip (http://esamultimedia.esa.int/docs/eduspace/Volcanoes_Exercise_Data_3.zip) |
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Eduspace - Software
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| LEOWorks 3 (http://esamultimedia.esa.int/multimedia/LEOWorks3.exe) |
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| LEOWorks 3 Tutorial (http://esamultimedia.esa.int/multimedia/eduspace/leoworks3-tutorial.pdf) |
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