An automated deep learning convolutional neural network algorithm applied for soil salinity distribution mapping in Lake Urmia, Iran

Mohammad Kazemi Garajeh*, Farzad Malakyar, Qihao Weng, Bakhtiar Feizizadeh, Thomas Blaschke, Tobia Lakes

*Corresponding author for this work

Research output: Contribution to journalArticle

Original languageEnglish
Article number146253
JournalScience of the Total Environment
Volume778
Early online date6 Mar 2021
DOIs
Publication statusE-pub ahead of print - 6 Mar 2021

Bibliographical note

Copyright © 2021 Elsevier B.V. All rights reserved.

Fields of Science and Technology Classification 2012

  • 211 Other Technical Sciences
  • 107 Other Natural Sciences

Keywords

  • Convolutional neural network (CNN)
  • Deep learning (DL)
  • Frequency ratio (FR) model
  • Lake Urmia
  • Soil salinity distribution (SSD)
  • Weights of evidence (WOE)

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