Corrigendum to "Assessing the performance of GIS- based machine learning models with different accuracy measures for determining susceptibility to gully erosion" [Sci. Total Environ. 664 (2019) 1117-1132].

Sci Total Environ

A- Fonds de la recherche Scientifique, FNRS Rue d'Egmont 5, 1000 Brussels, Belgium; B-TECLIM - Georges Lemaître Centre for Earth and Climate Research, Université catholique de Louvain, BE-1348 Louvain-la-Neuve, Belgium.

Published: August 2020

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http://dx.doi.org/10.1016/j.scitotenv.2020.139262DOI Listing

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