DeepEmSat: Deep Emulation for Satellite Data Mining

The growing volume of Earth science data available from climate simulations and satellite remote sensing offers unprecedented opportunity for scientific insight, while also presenting computational challenges. One potential area of impact is atmospheric correction, where physics-based numerical mode...

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Detalles Bibliográficos
Autores principales: Duffy, Kate, Vandal, Thomas, Li, Shuang, Ganguly, Sangram, Nemani, Ramakrishna, Ganguly, Auroop R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931958/
https://www.ncbi.nlm.nih.gov/pubmed/33693365
http://dx.doi.org/10.3389/fdata.2019.00042

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931958/
https://www.ncbi.nlm.nih.gov/pubmed/33693365
http://dx.doi.org/10.3389/fdata.2019.00042

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