As a part of ESA’s SInCohMap project, which is dedicated to exploring innovative methodologies for land-cover and vegetation mapping using Sentinel-1 multitemporal coherence data, the usefulness of coherence time series for crop-type mapping has been demonstrated recently. The Sentinel-1 satellites’ radar instruments can transmit in either horizontal (H) or vertical (V) polarisation, and then receive in both H and V polarisations. The plots show the temporal patterns of coherence, both VV and VH, measured for four crop classes: alfalfa, maize, sugar beet and wheat. Alfalfa exhibits a long growth season, translated into low coherence, from January to September, whereas maize presents a much shorter cycle concentrated in summer.