Teacher: Giovanna Venuti
Supervisor: Ing. Gianluca Murdaca – MindEarth
Description: The project aims to develop a prototype for the automatic description of geographic Areas of Interest (AOIs) based on multi-layer geospatial inputs. The student will work with visual representations combining satellite imagery and derived layers, such as built-up maps, change maps, or simple indicators, in order to generate structured textual descriptions supporting the interpretation of the territorial context.
Difficult level: Medium – High
Requirements: Python, basic GIS and geospatial data handling,
interest in multimodal AI, basic deep learning