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. Crop-type mapping using satellite imagery is playing a key role as a central part of Europe’s Common Agricultural Policy, in which ‘checks by monitoring’ are being established routinely to reduce field work and the associated bureaucracy. Moreover, it also helps monitor potential threads to ecosystems if new crops are introduced close to protected areas.