Estimating the Routing Parameter of the Xin’anjiang Hydrological Model Based on Remote Sensing Data and Machine Learning

Estimating the Routing Parameter of the Xin’anjiang Hydrological Model Based on Remote Sensing Data and Machine Learning

The parameters of hydrological models should be determined before applying those models to estimate or predict hydrological processes. The Xin’anjiang (XAJ) hydrological model is widely used throughout China. Since the prediction in ungauged basins (PUB) era, the regionalization of the XAJ model par...

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Bibliographic Details
Main Authors: Yuanhao Fang, Yizhi Huang, Bo Qu, Xingnan Zhang, Tao Zhang, Dazhong Xia
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Remote Sensing
Subjects:
remote sensing data
remotely sensed underlying surface characteristics
Xin’anjiang hydrological model
model parameters
regionalization
machine learning
Online Access:https://www.mdpi.com/2072-4292/14/18/4609

Internet

https://www.mdpi.com/2072-4292/14/18/4609

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