Global Terrestrial Evapotranspiration Estimation from Visible Infrared Imaging Radiometer Suite (VIIRS) Data

Global Terrestrial Evapotranspiration Estimation from Visible Infrared Imaging Radiometer Suite (VIIRS) Data

It is a difficult undertaking to reliably estimate global terrestrial evapotranspiration (ET) using the Visible Infrared Imaging Radiometer Suite (VIIRS) at high spatial and temporal scales. We employ deep neural networks (DNN) to enhance the estimation of terrestrial ET on a global scale using sate...

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Bibliographic Details
Main Authors: Zijing Xie, Yunjun Yao, Qingxin Tang, Xueyi Zhang, Xiaotong Zhang, Bo Jiang, Jia Xu, Ruiyang Yu, Lu Liu, Jing Ning, Jiahui Fan, Luna Zhang
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Remote Sensing
Subjects:
terrestrial evapotranspiration
deep neural networks
VIIRS
random forest
Bayesian model averaging
Online Access:https://www.mdpi.com/2072-4292/16/1/44

Internet

https://www.mdpi.com/2072-4292/16/1/44

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