Abstract
… The obtained list of conditioning factors is promising to support the production of single and multi-hazard susceptibility maps at the urban level by means of Machine and Deep Learning …
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CITATION STYLE
APA
Vavassori, A., De Jesus Pugliese Viloria, A., & Brovelli, M. A. (2022). Identification of the Factors Conditioning the Susceptibility of Natural and Man-Made Hazards in an Urban Context. In GIS Ostrava 2022 Earth Observation for Smart City and Smart Region. VŠB - TU Ostrava. https://doi.org/10.31490/9788024846026-10
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