Deep learning estimation of northern hemisphere soil freeze-thaw dynamics using satellite multi-frequency microwave brightness temperature observations

Satellite microwave sensors are well suited for monitoring landscape freeze-thaw (FT) transitions owing to the strong brightness temperature (TB) or backscatter response to changes in liquid water abundance between predominantly frozen and thawed conditions. The FT retrieval is also a sensitive clim...

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Detalles Bibliográficos
Autores principales: Donahue, Kellen, Kimball, John S., Du, Jinyang, Bunt, Fredrick, Colliander, Andreas, Moghaddam, Mahta, Johnson, Jesse, Kim, Youngwook, Rawlins, Michael A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10690831/
https://www.ncbi.nlm.nih.gov/pubmed/38045095
http://dx.doi.org/10.3389/fdata.2023.1243559

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10690831/
https://www.ncbi.nlm.nih.gov/pubmed/38045095
http://dx.doi.org/10.3389/fdata.2023.1243559

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