Assessment of a Spatiotemporal Deep Learning Approach for Soil Moisture Prediction and Filling the Gaps in Between Soil Moisture Observations

Soil moisture (SM) plays a significant role in determining the probability of flooding in a given area. Currently, SM is most commonly modeled using physically-based numerical hydrologic models. Modeling the natural processes that take place in the soil is difficult and requires assumptions. Besides...

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Detalles Bibliográficos
Autores principales: ElSaadani, Mohamed, Habib, Emad, Abdelhameed, Ahmed M., Bayoumi, Magdy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7969976/
https://www.ncbi.nlm.nih.gov/pubmed/33748748
http://dx.doi.org/10.3389/frai.2021.636234

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7969976/
https://www.ncbi.nlm.nih.gov/pubmed/33748748
http://dx.doi.org/10.3389/frai.2021.636234

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