Remote-Sensing-Based Streamflow Forecasting Using Artificial Neural Network and Support Vector Machine Models

Remote-Sensing-Based Streamflow Forecasting Using Artificial Neural Network and Support Vector Machine Models

In this study, we aimed to investigate the hydrological performance of three gridded precipitation products—CHIRPS, RFE, and TRMM3B42V7—in monthly streamflow forecasting. After statistical evaluation, two monthly streamflow forecasting models—support vector machine (SVM) and artificial neural networ...

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Bibliographic Details
Main Authors: Mohammed M. Alquraish, Mosaad Khadr
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Remote Sensing
Subjects:
streamflow forecasting
artificial neural network
support vector machine
remote sensing
satellite precipitation products
upper Blue Nile River basin
Online Access:https://www.mdpi.com/2072-4292/13/20/4147

Internet

https://www.mdpi.com/2072-4292/13/20/4147

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