Application of a Novel Hybrid Machine Learning Algorithm in Shallow Landslide Susceptibility Mapping in a Mountainous Area Article

Ghasemian, Bahareh, Shahabi, Himan, Shirzadi, Ataollah et al. (2022). Application of a Novel Hybrid Machine Learning Algorithm in Shallow Landslide Susceptibility Mapping in a Mountainous Area . 10 10.3389/fenvs.2022.897254

Open Access International Collaboration

cited authors

  • Ghasemian, Bahareh; Shahabi, Himan; Shirzadi, Ataollah; Al-Ansari, Nadhir; Jaafari, Abolfazl; Geertsema, Marten; Melesse, Assefa M; Singh, Sushant K; Ahmad, Anuar

sustainable development goals

authors

publication date

  • June 13, 2022

keywords

  • CLASSIFIER
  • DECISION TREE
  • Environmental Sciences
  • Environmental Sciences & Ecology
  • GIS
  • Iran
  • Life Sciences & Biomedicine
  • MODEL
  • NATURAL HAZARDS
  • PERFORMANCE
  • RAINFALL-INDUCED LANDSLIDE
  • RANDOM FOREST
  • SPATIAL PREDICTION
  • SUPPORT
  • Science & Technology
  • TRANSPORT INFRASTRUCTURE
  • decision tree
  • landslide susceptibility
  • random forest
  • rotation forest
  • spatial modeling

Digital Object Identifier (DOI)

publisher

  • FRONTIERS MEDIA SA

volume

  • 10