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Machine Learning for Landslide Susceptibility Mapping Using Phyton in Sigi Biromaru Area (Near Palu)...

Machine Learning for Landslide Susceptibility Mapping Using Phyton in Sigi Biromaru Area (Near Palu)...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2906835036

Machine Learning for Landslide Susceptibility Mapping Using Phyton in Sigi Biromaru Area (Near Palu), Central Sulawesi, Indonesia

About this item

Full title

Machine Learning for Landslide Susceptibility Mapping Using Phyton in Sigi Biromaru Area (Near Palu), Central Sulawesi, Indonesia

Publisher

Bristol: IOP Publishing

Journal title

IOP conference series. Earth and environmental science, 2023-12, Vol.1276 (1), p.12024

Language

English

Formats

Publication information

Publisher

Bristol: IOP Publishing

More information

Scope and Contents

Contents

Sigi Biromaru is near Palu City; both experienced the Palu earthquake on 28 September 2018. Unlike Palu City, a flat area, Sigi Biromaru is hilly, so it experienced landslides after the big earthquake. This study performed landslide susceptibility mapping for Sigi Biromaru using a machine learning method, namely random forest. Nine parameters were...

Alternative Titles

Full title

Machine Learning for Landslide Susceptibility Mapping Using Phyton in Sigi Biromaru Area (Near Palu), Central Sulawesi, Indonesia

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2906835036

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2906835036

Other Identifiers

ISSN

1755-1307

E-ISSN

1755-1315

DOI

10.1088/1755-1315/1276/1/012024

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