Using open data to reveal factors of urban susceptibility to natural hazards and man-made hazards: case of Milan and Sofia

Data publikacji: 05 sty 2023

Zakres stron: 93 - 107

Otrzymano: 30 maj 2022

Przyjęty: 15 paź 2022

DOI: https://doi.org/10.2478/geosc-2022-0008

Słowa kluczowe

Disasters, Multi-hazard mapping, Urban susceptibility, Open data, Machine and deep learning

© 2022 Alberto Vavassori et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.