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Using short-interval landslide inventories to build short-term and overall spatial prediction models...

Using short-interval landslide inventories to build short-term and overall spatial prediction models...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2736067847

Using short-interval landslide inventories to build short-term and overall spatial prediction models for earthquake-triggered landslides based on machine learning for the 2018 Lombok earthquake sequence

About this item

Full title

Using short-interval landslide inventories to build short-term and overall spatial prediction models for earthquake-triggered landslides based on machine learning for the 2018 Lombok earthquake sequence

Publisher

Dordrecht: Springer Netherlands

Journal title

Natural hazards (Dordrecht), 2022-12, Vol.114 (3), p.3575-3595

Language

English

Formats

Publication information

Publisher

Dordrecht: Springer Netherlands

More information

Scope and Contents

Contents

During an earthquake sequence, there are often multiple recurring landslides. Understanding the spatial distribution of the landslides triggered by the first earthquake can help us predict the landslide susceptibility for subsequent shakes over a short term. This study used two landslide inventories from the Lombok earthquake sequence in Indonesia...

Alternative Titles

Full title

Using short-interval landslide inventories to build short-term and overall spatial prediction models for earthquake-triggered landslides based on machine learning for the 2018 Lombok earthquake sequence

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2736067847

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2736067847

Other Identifiers

ISSN

0921-030X

E-ISSN

1573-0840

DOI

10.1007/s11069-022-05532-3

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