  This paper presents a new methodology that provides the analysis of surface
texture changes in areas adjacent to the volcano and its impact product of
volcanic activity. To do this, algorithms from digital image processing such as
the co-occurrence matrix and the wavelet transform are used. These methods are
working on images taken by the Landsat satellite platform sensor 5 TM and
Landsat 7 ETM + sensor, and implemented with the purpose of evaluating
superficial changes that can warn of surface movements of the volcano. The
results were evaluated by similarity metrics for grayscale images, and
validated in two different scenarios that have the same type of eruption, but
differ, essentially, in climate and vegetation. Finally, the proposed algorithm
is presented, setting the parameters and constraints for implementation and
use.
