Conclusions

Sentinel-2 (10m) based mapping aids small scale (>1 ha) vegetation monitoring and management, even Landsat (30m) is useful in small scale mapping of vegetation and changes herein. By using off the shelf images and methods 60-70% accuracy was achieved for single images, while stacking year-round images yielded 86% accuracy. Accuracies of 60-70% are already good enough to inform, prioritize and decide in vegetation management. End-users need time to adjust and trust a new data-source, it’s not only about the accuracy numbers. Inclusion of Google Earth Engine simplified building prototypes and an operational platform. Developing the tool in close cooperation with end-users helped to quickly identify unanticipated uses, useful features and facilitated trust in the tool.