Application of a Machine Learning Algorithm in Generating an Evapotranspiration Data Product From Coupled Thermal Infrared and Microwave Satellite Observations

Land surface evapotranspiration (ET) is one of the main energy sources for atmospheric dynamics and a critical component of the local, regional, and global water cycles. Consequently, accurate measurement or estimation of ET is one of the most active topics in hydro-climatology research. With massiv...

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Detalles Bibliográficos
Autores principales: Fang, Li, Zhan, Xiwu, Kalluri, Satya, Yu, Peng, Hain, Chris, Anderson, Martha, Laszlo, Istvan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163788/
https://www.ncbi.nlm.nih.gov/pubmed/35668815
http://dx.doi.org/10.3389/fdata.2022.768676

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163788/
https://www.ncbi.nlm.nih.gov/pubmed/35668815
http://dx.doi.org/10.3389/fdata.2022.768676

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