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

6533b7d7fe1ef96bd1268e40

RESEARCH PRODUCT

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]

Christian Conoscenti Mohsen Sheklabadi Kristof Van Oost Younes Garosi Hamid Reza Pourghasemi Hamid Reza Pourghasemi

subject

Environmental Engineering Environmental Chemistry Environmental science Agricultural engineering Gully erosion Pollution Waste Management and Disposal

year	journal	country	edition	language
2020-05-18	Science of The Total Environment

https://doi.org/10.1016/j.scitotenv.2020.139262

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