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. 2020 Aug 15:730:139262.
doi: 10.1016/j.scitotenv.2020.139262.
Epub 2020 May 12.
1 Faculty of Agriculture, Department of Soil Science, Bu-Ali Sina University, Ahmadi Roshan Avenue, 6517838695 Hamedan, Iran.
2 Faculty of Agriculture, Department of Soil Science, Bu-Ali Sina University, Ahmadi Roshan Avenue, 6517838695 Hamedan, Iran. Electronic address: sheklabadi@basu.ac.ir.
3 Department of Earth and Sea Sciences (DISTEM), University of Palermo, Via Archirafi 22, 90123 Palermo, Italy.
4 College of Marine Sciences and Engineering, Nanjing Normal University, Nanjing 210023, China; Department of Natural Resources and Environmental Engineering, College of Agriculture, Shiraz University, Shiraz, Iran.
5 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.