MODIS Evapotranspiration Downscaling Using a Deep Neural Network Trained Using Landsat 8 Reflectance and Temperature Data

MODIS Evapotranspiration Downscaling Using a Deep Neural Network Trained Using Landsat 8 Reflectance and Temperature Data

The MODIS 8-day composite evapotranspiration (ET) product (MOD16A2) is widely used to study large-scale hydrological cycle and energy budgets. However, the MOD16A2 spatial resolution (500 m) is too coarse for local and regional water resource management in agricultural applications. In this study, w...

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Bibliographic Details
Main Authors: Xianghong Che, Hankui K. Zhang, Qing Sun, Zutao Ouyang, Jiping Liu
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Remote Sensing
Subjects:
evapotranspiration
MODIS
downscaling
deep neural network
Landsat 8
AmeriFlux
Online Access:https://www.mdpi.com/2072-4292/14/22/5876

Internet

https://www.mdpi.com/2072-4292/14/22/5876

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