Prognostication of Shortwave Radiation Using an Improved No-Tuned Fast Machine Learning

Prognostication of Shortwave Radiation Using an Improved No-Tuned Fast Machine Learning

Shortwave radiation density flux (SRDF) modeling can be key in estimating actual evapotranspiration in plants. SRDF is the result of the specific and scattered reflection of shortwave radiation by the underlying surface. SRDF can have profound effects on some plant biophysical processes such as phot...

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Bibliographic Details
Main Authors: Isa Ebtehaj, Keyvan Soltani, Afshin Amiri, Marzban Faramarzi, Chandra A. Madramootoo, Hossein Bonakdari
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sustainability
Subjects:
water resources
Daymet V3
Google Earth Engine
improved extreme learning machine (IELM)
sensitivity analysis
shortwave radiation flux density
Online Access:https://www.mdpi.com/2071-1050/13/14/8009

Internet

https://www.mdpi.com/2071-1050/13/14/8009

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