Enhancing flood susceptibility modeling using multi-temporal SAR images, CHIRPS data, and hybrid machine learning algorithms Article

Riazi, Mostafa, Khosravi, Khabat, Shahedi, Kaka et al. (2023). Enhancing flood susceptibility modeling using multi-temporal SAR images, CHIRPS data, and hybrid machine learning algorithms . SCIENCE OF THE TOTAL ENVIRONMENT, 871 10.1016/j.scitotenv.2023.162066

International Collaboration

cited authors

  • Riazi, Mostafa; Khosravi, Khabat; Shahedi, Kaka; Ahmad, Sajjad; Jun, Changhyun; Bateni, Sayed M; Kazakis, Nerantzis

sustainable development goals

authors

publication date

  • May 1, 2023

published in

keywords

  • BA-RBF
  • BASIN
  • CHIRPS data
  • Environmental Sciences
  • Environmental Sciences & Ecology
  • Flood susceptibility mapping
  • Gorganrood watershed
  • Life Sciences & Biomedicine
  • Machine learning
  • NEURAL-NETWORKS
  • PREDICTION
  • RAINFALL-RUNOFF
  • RISK
  • RIVER
  • SYSTEMS
  • Science & Technology
  • Sentinel-1 SAR
  • TREES

Digital Object Identifier (DOI)

publisher

  • ELSEVIER

volume

  • 871