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Landslide Susceptibility Assessment in Active Tectonic Areas Using Machine Learning Algorithms

Landslide Susceptibility Assessment in Active Tectonic Areas Using Machine Learning Algorithms

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_83ed4c7a6d2c4b3c90a13bdf474db44c

Landslide Susceptibility Assessment in Active Tectonic Areas Using Machine Learning Algorithms

About this item

Full title

Landslide Susceptibility Assessment in Active Tectonic Areas Using Machine Learning Algorithms

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2024-08, Vol.16 (15), p.2724

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The eastern margin of the Tibetan Plateau is one of the regions with the most severe landslide disasters on a global scale. With the intensification of seismic activity around the Tibetan Plateau and the increase in extreme rainfall events, the prevention of landslide disasters in the region is facing serious challenges. This article selects the Ba...

Alternative Titles

Full title

Landslide Susceptibility Assessment in Active Tectonic Areas Using Machine Learning Algorithms

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_83ed4c7a6d2c4b3c90a13bdf474db44c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_83ed4c7a6d2c4b3c90a13bdf474db44c

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs16152724

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