A deep learning convolutional neural network algorithm for detecting saline flow sources and mapping the environmental impacts of the Urmia Lake drought in Iran

Bakhtiar Feizizadeh*, Mohammad Kazemi Garajeh, Tobia Lakes, Thomas Blaschke

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article number105585
JournalCatena
Volume207
DOIs
Publication statusPublished - Dec 2021

Bibliographical note

Funding Information:
This work has carried out under support of Alexander von Humboldt foundation for experienced researchers.

Publisher Copyright:
© 2021 Elsevier B.V.

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

Fields of Science and Technology Classification 2012

  • 105 Geosciences
  • 107 Other Natural Sciences
  • 211 Other Technical Sciences

Keywords

  • Convolutional neural network
  • Deep learning
  • Dust storm
  • Iran
  • Saline flowsource
  • Urmia lake

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