Mapping Geospatial AI Flood Risk in National Road Networks

Previous studies have utilized machine learning algorithms that incorporate topographic and geological characteristics to model flood susceptibility, resulting in comprehensive flood maps. This study introduces an innovative integration of geospatial artificial intelligence for hazard mapping to ass...

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Autors principals:	Seyed M. H. S. Rezvani, Maria João Falcão Silva, Nuno Marques de Almeida
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-09-01
Col·lecció:	ISPRS International Journal of Geo-Information
Matèries:	urban resilience flood hazard mapping road network geospatial data analysis asset management geospatial artificial intelligence
Accés en línia:	https://www.mdpi.com/2220-9964/13/9/323
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