Kamil, AhmedMahmood, BasimKlein, MaikeKrupka, DanielWinter, CorneliaGergeleit, MartinMartin, Ludger2024-10-212024-10-212024978-3-88579-746-3https://dl.gi.de/handle/20.500.12116/45246This work proposes a sustainable automated 3D scanning algorithm using drone photogrammetry for large scale archaeological sites. The proposed algorithm is energy-aware and sustainable since it uses an efficient path planning approach. It combines boustrophedon and spiral drone path planning algorithms. Moreover, concepts inspired by complex networks are also involved to model the environment as a network model with nodes and edges. The generated model is utilized in the proposed path planning algorithm. The findings show that the proposed algorithm is highly feasible and can efficiently scan large scale areas with minimum energy and time without human intervention.enPhotogrammetry3D ScanningCultural Heritage PreservationEnergy-AwareDrone Path PlanningText/Conference Paper10.18420/inf2024_821617-5468