Data-Driven Landslide Nowcasting at the Global Scale

Data-Driven Landslide Nowcasting at the Global Scale

Landslides affect nearly every country in the world each year. To better understand this global hazard, the Landslide Hazard Assessment for Situational Awareness (LHASA) model was developed previously. LHASA version 1 combines satellite precipitation estimates with a global landslide susceptibility...

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Bibliographic Details
Main Authors: Thomas A. Stanley, Dalia B. Kirschbaum, Garrett Benz, Robert A. Emberson, Pukar M. Amatya, William Medwedeff, Marin K. Clark
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Earth Science
Subjects:
XGBoost
machine learning
IMERG
SMAP
GPM
situational awareness
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2021.640043/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2021.640043/full

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