Application of Remote Sensing Floodplain Vegetation Data in a Dynamic Roughness Distributed Runoff Model

Riparian vegetation reduces the conveyance capacity and increases the likelihood of floods. Studies that consider vegetation in flow modeling rely on unmanned aerial vehicle (UAV) data, which restrict the covered area. In contrast, this study explores advances in remote sensing and machine learning...

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Detalles Bibliográficos

Principais autores:	Andre A. Fortes, Masakazu Hashimoto, Keiko Udo
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2025-05-01
Series:	Remote Sensing
Assuntos:	remote sensing machine learning typhoon Hagibis flood modeling vegetative roughness Manning’s roughness coefficient
Acceso en liña:	https://www.mdpi.com/2072-4292/17/10/1672
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