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

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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Bibliographic Details
Main Authors: Laura Paola Calderon-Cucunuba, Abel Alexei Argueta-Platero, Tomás Fernández, Claudio Mercurio, Chiara Martinello, Edoardo Rotigliano, Christian Conoscenti
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Land
Subjects:
sampling strategies
deposit areas
debris flows
debris floods
variable significance
landslide inventory
Online Access:https://www.mdpi.com/2073-445X/14/2/269
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