This work presents a study of a multitemporal set of C-band images collected by ERS-2, aiming to understand the
differentiations of the backscatter intensity and the phase coherence of different land covers to find possible synergies
that could improve land cover detection. The land cover analysis allowed to observe the perfect differentiation of urban
areas from intensity images. The observation of multitemporal RGB compositions combining key dates of the different
points of crops growth make possible to differentiate this land cover and also to observe fluctuations inside the class
itself. This fluctuations present a pattern that correspond to the crop field structure, which suggests that more information
can be obtained. The shrubs are difficult to detect from the intensity images, but once the observation is combined with
coherence images the detection is possible. However, the coherence image must be generated from pairs of images with
a temporal interval lower than three months, independently from the year of registration of each image due to the general
decrease of coherence when larger intervals are used. The analysis allowed to observe the potential of this data to perfect
distinguish urban, crops and shrubs. The study of the seasonal fluctuations of intensity for the crops land cover with
precise ground truth for crops type and points of growth is proposed as a future line of research.
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