This project examines the intersection of war, simulation, and cartography through a prototype map of risk zones in combat areas. It utilizes tools from the Ukraine War Archive (UWA) alongside open-source drone video footage, verified geodata, 3D reconstruction techniques (Gaussian splatting), and geospatial tools such as OpenStreetMap and BLOSM to transform aerial imagery into navigable spatial models. In the long term, the project aims to combine these reconstructions with verified geodata, proposing the mapping of risk zones as a potential forensic methodology that could help increase civilian safety when returning to post-war territories. Inspired by projects like OpenAerialMap, the work also questions the limits of access to spatial data related to conflicts. Due to ethical, legal, and security constraints, the project works exclusively with open-source materials and cannot rely on military surveillance data. As a compromise, it explores the use of older or non-current datasets where technically useful, in order to advance reconstruction research while avoiding the risks associated with contemporary front-line information.

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This project examines the intersection of war, simulation, and cartography through a prototype map of risk zones in combat areas. It uses Ukraine War Archive (UWA) tools and open-source drone video recordings, verified geodata, 3D reconstruction techniques (Gaussian splatting), and geospatial tools like OpenStreetMap and BLOSM to transform aerial imagery into navigable spatial models. In the long term, the project aims to combine these reconstructions with verified geodata, proposing risk zones mapping as a potential forensic methodology that could help increase civilian safety during the return to post-war territories. Inspired by projects such as OpenAerialMap, the work also reflects on the limits of access to conflict-related spatial data. Due to ethical, legal, and security constraints, the project works exclusively with open-source materials and cannot rely on military surveillance data. As a compromise, it explores the use of outdated or non-current datasets, where technically useful, to advance reconstruction research, while avoiding risks related to present-day front-line information.