Presents a segmentation method to detect effects due to high temporal evolution of the interferometric phase. The segmentation of these phasimetric artefacts is performed, taking into consideration both phase image and interferometric correlation. The process is based on a statistical model, robust in a noisy environment. It is expressed in a Markovian random field framework. This work is particularly original in respect to its application domain. The major novelty of the approach resides on the use of two pieces of information in order to correspond exactly to the effects definition. It is used to segment phasimetric effects, appearing on some kind of ground occupation, due to rainy events