Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran Article

Phuong, Thao Thi Ngo, Panahi, Mahdi, Khosravi, Khabat et al. (2021). Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran . GEOSCIENCE FRONTIERS, 12(2), 505-519. 10.1016/j.gsf.2020.06.013

Open Access ESI Most Cited Paper International Collaboration

cited authors

  • Phuong, Thao Thi Ngo; Panahi, Mahdi; Khosravi, Khabat; Ghorbanzadeh, Omid; Kariminejad, Narges; Cerda, Artemi; Lee, Saro

sustainable development goals

authors

publication date

  • March 1, 2021

published in

keywords

  • CNN
  • Deep learning
  • EVIDENTIAL BELIEF FUNCTION
  • FUZZY INFERENCE SYSTEM
  • Geology
  • Geosciences, Multidisciplinary
  • Iran
  • LOGISTIC-REGRESSION
  • Landslide
  • MODEL
  • Physical Sciences
  • RANGE
  • RATIO
  • RNN
  • SIZE
  • SPATIAL PREDICTION
  • Science & Technology

Digital Object Identifier (DOI)

publisher

  • CHINA UNIV GEOSCIENCES, BEIJING

start page

  • 505

end page

  • 519

volume

  • 12

issue

  • 2