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Author

E. Durando

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Open access Jul 2026

Integrating Airborne LiDAR and OpenStreetMap Features for Automated Hydrological Conditioning of Urban Digital Elevation Models

An automated open-source Python pipeline for generating hydrologically conditioned DEMs by integrating classified airborne LiDAR data with OpenStreetMap infrastructure features is presented, which is modular and transferable to other urban contexts with pre-classified LiDAR and OSM data.

Tommaso Destefanis, E. Durando, M. Oliveti et al. · 0 citations

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