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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書誌詳細

出版年:	Land
主要な著者:	Laura Paola Calderon-Cucunuba, Abel Alexei Argueta-Platero, Tomás Fernández, Claudio Mercurio, Chiara Martinello, Edoardo Rotigliano, Christian Conoscenti
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2025-01-01
主題:	sampling strategies deposit areas debris flows debris floods variable significance landslide inventory
オンライン･アクセス:	https://www.mdpi.com/2073-445X/14/2/269