Terraced landscapes are globally recognized as part of natural and cultural heritage. The maintenance of a large part of terraces in Slovenia has been given up, so the historical scope of terraced landscapes in Slovenia is not exactly known. Methods for landscaped areas detection have already been implemented and are based on semantic segmentation of elevation data extracted with LIDAR technology. In this research we examined the effect of using other modalities as input such as orthofoto, land usage data and borders between real estates. We processed the data with a variation of the U-Net architecure and compared early and middle data fusion techniques. The finished model has shown to be more effective at detecting terraced landscapes than the model in the reference research. Our results show that using extra modalities does not contribute significantly to the detection of terraced landscapes.
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