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Machine Learning-Driven Landslide Susceptibility Mapping in the Himalayan China–Pakistan Economic Co...

Machine Learning-Driven Landslide Susceptibility Mapping in the Himalayan China–Pakistan Economic Co...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ae74b84a1d074ded80771212e9f950e4

Machine Learning-Driven Landslide Susceptibility Mapping in the Himalayan China–Pakistan Economic Corridor Region

About this item

Full title

Machine Learning-Driven Landslide Susceptibility Mapping in the Himalayan China–Pakistan Economic Corridor Region

Publisher

Basel: MDPI AG

Journal title

Land (Basel), 2024-07, Vol.13 (7), p.1011

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The reliability of data-driven approaches in generating landslide susceptibility maps depends on data quality, analytical method selection, and sampling techniques. Selecting optimal datasets and determining the most effective analytical methods pose significant challenges. This study assesses the performance of seven machine learning classifiers i...

Alternative Titles

Full title

Machine Learning-Driven Landslide Susceptibility Mapping in the Himalayan China–Pakistan Economic Corridor Region

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ae74b84a1d074ded80771212e9f950e4

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ae74b84a1d074ded80771212e9f950e4

Other Identifiers

ISSN

2073-445X

E-ISSN

2073-445X

DOI

10.3390/land13071011

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