Flood risk assessment in Ténès city (Algeria) using land cover based on machine learning methods and Pléiades tri-stereo images

On a global scale, a considerable amount of life, property, and resources are lost because of the increasing frequency and severity of flooding occurrences. This necessitates worldwide development, thorough flood risk assessments and urbanization policies. This work used sophisticated remote sensing...

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Veröffentlicht in:	Advances in space research 2024-12
Hauptverfasser:	Narimane, Zaabar, Simona, Niculescu, Mustapha Kamel, Mihoubi
Format:	Artikel
Sprache:	eng
Schlagworte:	Environmental Sciences Flood risk Flood scenarios Flood-prone area Hydraulic model LULC Machine and deep learning Pléiades tri-stereo Vulnerability
Online-Zugang:	Volltext
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