Image-based segmentation and modelling of terraced landscapes

The current state of information and the physical conditions of agricultural-territorial zones, with respect to the inclusion, security and sustainability of these settlements is, up to date, fragmentary and lacking details. As a result of this, and thanks to open-source software which allow access, easier as time goes by, to data with high precision, a methodology for the analysis of terraced areas was proposed, by classifying LiDAR data to obtain the state of vegetation and the cultivable areas from them. The results allow updating the informative databases for the acquisition, visualization and geolocation of cultivable terraced areas for the surveillance of their state of conservation and recovery.