A Two-Step Reconstruction Framework for Mapping Seamless All-Weather Daily Evapotranspiration Using Thermal Infrared Data

A Two-Step Reconstruction Framework for Mapping Seamless All-Weather Daily Evapotranspiration Using Thermal Infrared Data

Spatio-temporally continuous daily evapotranspiration (ET) is essential for characterizing water and energy exchange and scheduling efficient water management. ET has conventionally been generated using thermal infrared-based models, cloud contamination of satellite data could prohibit accurate esti...

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Bibliographic Details
Main Authors: Gengle Zhao, Long Zhao, Lisheng Song, Hua Wu, Qiaoyun Xie, Shaomin Liu, Kejia Xue, Sinuo Tao, Penghai Wu, Lingfeng Zhang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Daily evapotranspiration (ET)
spatio-temporal continuous ET
reconstruction
thermal infrared
remote sensing
Online Access:https://ieeexplore.ieee.org/document/10744568/
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