  We employ nonparametric statistical procedures to analyse multitemporal
SAR/PolSAR satellite images. The aim is two-fold. We seek parsimony in data
representation as well as efficient change detection. For these, wavelets and
geostatistical analyses are applied to the images (Morettin et al., 2017;
Krainski et al., 2018). Following this representation, the dimension of the
underlying generating process is estimated (Fonseca and Pinheiro, 2019), and a
set of multivariate characteristics is extracted. Change-points are then
detected via wavelets (Montoril et al., 2019).
