Landslide susceptibility zonation mapping using machine learning algorithms and statistical prediction at hunza watershed basin, pakistan

HIGHLIGHTS

• What: See Fig 3 inventory map of the study area. photographs, and digital representations of topographic surfaces, can be used to map and identify landslides (Guzzetti, Landslide Conditional Factors 2000). The resulting LSI map from IF-D and ability of the models, the Seed Cell Area Index (SCAI) test was employed.
• Who: A. Khan et al. from the Department of Earth Sciences, Karakoram International University (KIU), Gilgit, Pakistan Faculty of Land Resources Engineering, Kunming University of Science and Technology, Yunnan, China have published the research work: N E P T, in the Journal: (JOURNAL)
 



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