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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Principais autores:	Laura Paola Calderon-Cucunuba, Abel Alexei Argueta-Platero, Tomás Fernández, Claudio Mercurio, Chiara Martinello, Edoardo Rotigliano, Christian Conoscenti
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2025-01-01
סדרה:	Land
נושאים:	sampling strategies deposit areas debris flows debris floods variable significance landslide inventory
גישה מקוונת:	https://www.mdpi.com/2073-445X/14/2/269
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!