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Landslide susceptibility mapping using statistical bivariate models and their hybrid with normalized...

Landslide susceptibility mapping using statistical bivariate models and their hybrid with normalized...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2511578800

Landslide susceptibility mapping using statistical bivariate models and their hybrid with normalized spatial-correlated scale index and weighted calibrated landslide potential model

About this item

Full title

Landslide susceptibility mapping using statistical bivariate models and their hybrid with normalized spatial-correlated scale index and weighted calibrated landslide potential model

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

Environmental earth sciences, 2021-04, Vol.80 (8), Article 324

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

Considering the slope units as our reference mapping units, three statistical models [frequency ratio (FR), index of entropy (IOE), and evidential belief function (EBF)] are used in combination by two methods [normalized spatial-correlated scale index (NSCI) and weighted calibrated landslide potential model (WCLPM)]. For this aim, ten conditioning...

Alternative Titles

Full title

Landslide susceptibility mapping using statistical bivariate models and their hybrid with normalized spatial-correlated scale index and weighted calibrated landslide potential model

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2511578800

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2511578800

Other Identifiers

ISSN

1866-6280

E-ISSN

1866-6299

DOI

10.1007/s12665-021-09603-9

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