CORRECTION article

Front. Earth Sci., 09 June 2022

Sec. Geohazards and Georisks

Volume 10 - 2022 | https://doi.org/10.3389/feart.2022.941809

Corrigendum: Assessment of Landslide Susceptibility of the Wiśnickie Foothills Mts. (The Flysch Carpathians, Poland) Using Selected Machine Learning Algorithms

  • 1. Department of Hydraulic Engineering and Geotechnics, University of Agriculture in Krakow, Krakow, Poland

  • 2. Institute of Earth and Environmental Sciences, Marie Curie-Sklodowska University, Lublin, Poland

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In the original article, there was a spelling error in one of the keywords. A correction has been made to the keyword “multi-layer perceptron”.

A further error was made in the article text. The abbreviation of the institution that provided rainfall data was not correctly captured and the full name of the institution is missing. A part of the name of the institution that provided the Soil and Agricultural Map is also missing.

A correction has been made to Section “Characteristics of the Study Area”, Sub-section “Preparation of Data for Analysis”:

“Based on IMGW-PIB (Institute of Meteorology and Water Management - National Research Institute) data, we analyzed the annual precipitation totals from meteorological stations and posts in the Wiśnickie Foothills and its surroundings (1984–2013).”

“Vector data from the 1:25,000 Soil and Agricultural Map, produced by the Institute of Soil Science and Plant Cultivation - National Research Institute (IUNG) in Puławy, were used to evaluate the mechanical composition of the slope covers (soils).”

The authors apologize for these errors and state that these do not change the scientific conclusions of the article in any way. The original article has been updated.

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Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Summary

Keywords

landslide susceptibility, flysch, The Polish Carpathians, machine learning, multi-layer perceptron, decision tree, logistic regression, ensemble methods

Citation

Zydroń T, Demczuk P and Gruchot A (2022) Corrigendum: Assessment of Landslide Susceptibility of the Wiśnickie Foothills Mts. (The Flysch Carpathians, Poland) Using Selected Machine Learning Algorithms. Front. Earth Sci. 10:941809. doi: 10.3389/feart.2022.941809

Received

11 May 2022

Accepted

17 May 2022

Published

09 June 2022

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Frontiers Editorial Office, Frontiers Media SA, Switzerland

Volume

10 - 2022

Updates

Copyright

*Correspondence: Tymoteusz Zydroń,

This article was submitted to Geohazards and Georisks, a section of the journal Frontiers in Earth Science

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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