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A comparative study of landslide susceptibility mapping using weight of evidence, logistic regressio...

A comparative study of landslide susceptibility mapping using weight of evidence, logistic regressio...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1966265786

A comparative study of landslide susceptibility mapping using weight of evidence, logistic regression and support vector machine and evaluated by SBAS-InSAR monitoring: Zhouqu to Wudu segment in Bailong River Basin, China

About this item

Full title

A comparative study of landslide susceptibility mapping using weight of evidence, logistic regression and support vector machine and evaluated by SBAS-InSAR monitoring: Zhouqu to Wudu segment in Bailong River Basin, China

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

Environmental earth sciences, 2017-04, Vol.76 (8), p.1-19, Article 313

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

The determining of landslide-prone areas in mountainous terrain is essential for land planning and hazard mitigation. In this paper, a comparative study using three statistical models including weight of evidence model (WoE), logistic regression model (LR) and support vector machine method (SVM) was undertaken in the Zhouqu to Wudu segment in the B...

Alternative Titles

Full title

A comparative study of landslide susceptibility mapping using weight of evidence, logistic regression and support vector machine and evaluated by SBAS-InSAR monitoring: Zhouqu to Wudu segment in Bailong River Basin, China

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_1966265786

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1966265786

Other Identifiers

ISSN

1866-6280

E-ISSN

1866-6299

DOI

10.1007/s12665-017-6640-7

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