A country-wide assessment of Iran's land subsidence susceptibility using satellite-based InSAR and machine learning Article

Panahi, Mahdi, Khosravi, Khabat, Golkarian, Ali et al. (2022). A country-wide assessment of Iran's land subsidence susceptibility using satellite-based InSAR and machine learning . GEOCARTO INTERNATIONAL, 37(26), 14065-14087. 10.1080/10106049.2022.2086631

International Collaboration

cited authors

  • Panahi, Mahdi; Khosravi, Khabat; Golkarian, Ali; Roostaei, Mahsa; Barzegar, Rahim; Omidvar, Ebrahim; Rezaie, Fatemeh; Saco, Patricia M; Sharifi, Alireza; Jun, Changhyun; Bateni, Sayed M; Lee, Chang-Wook; Lee, Saro

authors

publication date

  • June 6, 2022

webpage

published in

keywords

  • CHALLENGES
  • CITY
  • Environmental Sciences
  • Environmental Sciences & Ecology
  • FUZZY INFERENCE SYSTEM
  • GMDH
  • Geology
  • Geosciences, Multidisciplinary
  • INTERFEROMETRY
  • Imaging Science & Photographic Technology
  • InSAR
  • Iran
  • Land subsidence
  • Life Sciences & Biomedicine
  • Physical Sciences
  • Remote Sensing
  • SPATIAL PREDICTION
  • SUPPORT VECTOR MACHINE
  • Science & Technology
  • Technology
  • WEIGHTS
  • machine learning

Digital Object Identifier (DOI)

publisher

  • TAYLOR & FRANCIS LTD

start page

  • 14065

end page

  • 14087

volume

  • 37

issue

  • 26