Towards landslide space-time forecasting through machine learning: the influence of rainfall parameters and model setting

Landslide susceptibility assessment using machine learning models is a popular and consolidated approach worldwide. The main constraint of susceptibility maps is that they are not adequate for temporal assessments: they are generated from static predisposing factors, allowing only a spatial predicti...

詳細記述

書誌詳細

主要な著者:	Nicola Nocentini, Ascanio Rosi, Samuele Segoni, Riccardo Fanti
フォーマット:	Artigo
言語:	Inglês
出版事項:	Frontiers Media S.A. 2023-04-01
シリーズ:	Frontiers in Earth Science
主題:	machine learning landslides random forest susceptibility variables’ importance landslide probability map
オンライン･アクセス:	https://www.frontiersin.org/articles/10.3389/feart.2023.1152130/full
タグ:	タグ追加 タグなし, このレコードへの初めてのタグを付けませんか!