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2022_UAVs and GIS models for landscape representation

AI-generated Abstract

The research explores methodologies for landscape representation using unmanned aerial vehicles (UAVs) and Geographic Information Systems (GIS). The study focuses on integrating data acquisition through UAVs with point cloud management and cataloguing in GIS, aiming to enhance the documentation and management of territorial heritage. A case study in the Caffarella Valley, Rome, illustrates the workflow involving aerial photogrammetric acquisition, plant recognition, and the creation of 3D models, demonstrating the potential of information systems in valuing landscape knowledge.