Satellite images are considered reliable data that preserve land cover
information. In the field of remote sensing, these images allow relevant
analyses of changes in space over time through the use of computer tools. In
this study, we have applied the “discriminant” change detection algorithm. In
this, we have verified its effectiveness in multi-temporal studies. Also, we
have determined the change in forest dynamics in the Ikongo district of
Madagascar between 2000 and 2015. During the treatments, we have used the
Landsat TM satellite images for the years 2000, 2005 and 2010 as well as ETM+
for 2015. Thus, analyses carried out have allowed us to note that between
2000-2005, 1.4% of natural forest disappeared. And, between 2005-2010, forests
degradationwas 1.8%. Also, between 2010-2015, about 0.5% of the natural forest
conserved in 2010 disappeared. Furthermore, we have found that the discriminant
algorithm is considerably efficient in terms of monitoring the dynamics of
forest cover change.
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