Predicting Landslide Deposit Zones: Insights from Advanced Sampling Strategies in the Ilopango Caldera, El Salvador

In landslide susceptibility modeling, research has predominantly focused on predicting landslides by identifying predisposing factors, often using inventories primarily based on the highest points of landslide crowns. However, a significant challenge arises when the transported mass impacts human ac...

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Auteurs principaux:	Laura Paola Calderon-Cucunuba, Abel Alexei Argueta-Platero, Tomás Fernández, Claudio Mercurio, Chiara Martinello, Edoardo Rotigliano, Christian Conoscenti
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2025-01-01
Collection:	Land
Sujets:	sampling strategies deposit areas debris flows debris floods variable significance landslide inventory
Accès en ligne:	https://www.mdpi.com/2073-445X/14/2/269
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