Hybrid point and interval prediction approaches for drought modeling using ground-based and remote sensing data

Hybrid point and interval prediction approaches for drought modeling using ground-based and remote sensing data

Drought as a severe natural disaster has devastating effects on the environment; therefore, reliable drought prediction is an important issue. In the current study, based on lower upper bound estimation, hybrid models including data preprocessing, permutation entropy, and artificial intelligence (AI...

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Bibliographic Details
Main Authors: Kiyoumars Roushangar, Roghayeh Ghasempour, V. S. Ozgur Kirca, Mehmet Cüneyd Demirel
Format: Article
Language:English
Published: IWA Publishing 2021-12-01
Series:Hydrology Research
Subjects:
artificial intelligence
data preprocessing
drought
permutation entropy
remote sensing
variational mode decomposition
Online Access:http://hr.iwaponline.com/content/52/6/1469

Internet

http://hr.iwaponline.com/content/52/6/1469

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