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Correction: Evaluation of different machine learning models and novel deep learning-based algorithm for landslide susceptibility mapping
Geoscience Letters volume 10, Article number: 44 (2023)
The Original Article was published on 25 July 2022
Correction: Geoscience Letters (2022) 9:26 https://doi.org/10.1186/s40562-022-00236-9
In this article [1], the affiliation details for co-authors Huanyuan Wang and Ling Han were incorrectly given as ‘School of Land Engineering, Chang’an University, Xi’ani, 710054, Shaanx, China’, but should have been ‘Shaanxi Key Laboratory of Land Consolidation, School of Land Engineering, Chang’an University, Xi’an, Shaanxi, China’
Reference
1. Zhang T, Li Y, Wang T, Wang H, Chen T, Sun Z, Luo D, Li C, Han L (2022) Evaluation of different machine learning models and novel deep learning-based algorithm for landslide susceptibility mapping. Geosci Lett 9:26. https://doi.org/10.1186/s40562-022-00236-9
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Zhang, T., Li, Y., Wang, T. et al. Correction: Evaluation of different machine learning models and novel deep learning-based algorithm for landslide susceptibility mapping. Geosci. Lett. 10, 44 (2023). https://doi.org/10.1186/s40562-023-00296-5
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DOI: https://doi.org/10.1186/s40562-023-00296-5