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Evaluation of Recent Advanced Soft Computing Techniques for Gully Erosion Susceptibility Mapping: A...

Evaluation of Recent Advanced Soft Computing Techniques for Gully Erosion Susceptibility Mapping: A...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b4588efa17f946e3b100731ba39e44ff

Evaluation of Recent Advanced Soft Computing Techniques for Gully Erosion Susceptibility Mapping: A Comparative Study

About this item

Full title

Evaluation of Recent Advanced Soft Computing Techniques for Gully Erosion Susceptibility Mapping: A Comparative Study

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2020-01, Vol.20 (2), p.335

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Gully erosion is a problem; therefore, it must be predicted using highly accurate predictive models to avoid losses caused by gully development and to guarantee sustainable development. This research investigates the predictive performance of seven multiple-criteria decision-making (MCDM), statistical, and machine learning (ML)-based models and the...

Alternative Titles

Full title

Evaluation of Recent Advanced Soft Computing Techniques for Gully Erosion Susceptibility Mapping: A Comparative Study

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b4588efa17f946e3b100731ba39e44ff

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b4588efa17f946e3b100731ba39e44ff

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s20020335

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