  Multi-filter images from the solar corona are used to obtain temperature maps
which are analyzed using techniques based on proper orthogonal decomposition
(POD) in order to extract dynamical and structural information at various
scales. Exploring active regions before and after a solar flare and comparing
them with quiet regions we show that the multiscale behavior presents distinct
statistical properties for each case that can be used to characterize the level
of activity in a region. Information about the nature of heat transport is also
be extracted from the analysis.
