Remote-Sensing Inversion Method for Evapotranspiration by Fusing Knowledge and Multisource Data

Evapotranspiration (ET) is the main process parameter of the land surface heat and water balance. Evapotranspiration remote-sensing inversion can be divided into two types of methods, process-driven and data-driven, according to the model power. This paper presents a comprehensive and systematic rev...

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Bibliographic Details
Published in:Scientific programming 2022-08, Vol.2022, p.1-13
Main Authors: Wang, Jingui, Cheng, Dongjuan, Wu, Lihui, Yu, Xueyuan
Format: Article
Language:English
Subjects:
Accuracy
Agriculture
Climate change
Data assimilation
Data integration
Evapotranspiration
Heat
Hydrologic cycle
Hydrology
Machine learning
Meteorological satellites
Multisensor fusion
Parameter estimation
Process parameters
Radiation
Remote sensing
Surface water
Time series
Values
Water balance
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Description
Summary:Evapotranspiration (ET) is the main process parameter of the land surface heat and water balance. Evapotranspiration remote-sensing inversion can be divided into two types of methods, process-driven and data-driven, according to the model power. This paper presents a comprehensive and systematic review of the research progress of data-driven ET remote-sensing inversion methods and their products; reviews the basic principles, advantages, and disadvantages of related methods/products from three perspectives: empirical regression, machine learning, and data fusion; and finally indicates the development direction of data-driven ET remote-sensing inversion research.
ISSN:1058-9244
1875-919X
DOI:10.1155/2022/2076633