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An Integrated Approach of Machine Learning, Remote Sensing, and GIS Data for the Landslide Susceptib...

An Integrated Approach of Machine Learning, Remote Sensing, and GIS Data for the Landslide Susceptib...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_68083e4055cf4ecaa6178bae85d620c4

An Integrated Approach of Machine Learning, Remote Sensing, and GIS Data for the Landslide Susceptibility Mapping

About this item

Full title

An Integrated Approach of Machine Learning, Remote Sensing, and GIS Data for the Landslide Susceptibility Mapping

Publisher

Basel: MDPI AG

Journal title

Land (Basel), 2022-08, Vol.11 (8), p.1265

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Landslides triggered in mountainous areas can have catastrophic consequences, threaten human life, and cause billions of dollars in economic losses. Hence, it is imperative to map the areas susceptible to landslides to minimize their risk. Around Abbottabad, a large city in northern Pakistan, a large number of landslides can be found. This study ai...

Alternative Titles

Full title

An Integrated Approach of Machine Learning, Remote Sensing, and GIS Data for the Landslide Susceptibility Mapping

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_68083e4055cf4ecaa6178bae85d620c4

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_68083e4055cf4ecaa6178bae85d620c4

Other Identifiers

ISSN

2073-445X

E-ISSN

2073-445X

DOI

10.3390/land11081265

How to access this item