Estimation of SPEI Meteorological Drought Using Machine Learning Algorithms

Estimation of SPEI Meteorological Drought Using Machine Learning Algorithms

Accurate estimation of drought events is vital for the mitigation of their adverse consequences on water resources, agriculture and ecosystems. Machine learning algorithms are promising methods for drought prediction as they require less time, minimal inputs, and are relatively less complex than dyn...

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Bibliographic Details
Main Authors: Ali Mokhtar, Mohammadnabi Jalali, Hongming He, Nadhir Al-Ansari, Ahmed Elbeltagi, Karam Alsafadi, Hazem Ghassan Abdo, Saad Sh. Sammen, Yeboah Gyasi-Agyei, Jesus Rodrigo-Comino
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Drought events
SPEI
machine learning
Extreme Gradient Boost
Tibetan Plateau
Online Access:https://ieeexplore.ieee.org/document/9408611/

Internet

https://ieeexplore.ieee.org/document/9408611/

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