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Improving satellite-based PM(2.5) estimates in China using Gaussian processes modeling in a Bayesian hierarchical setting
Using satellite-based aerosol optical depth (AOD) measurements and statistical models to estimate ground-level PM(2.5) is a promising way to fill the areas that are not covered by ground PM(2.5) monitors. The statistical models used in previous studies are primarily Linear Mixed Effects (LME) and Ge...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539114/ https://www.ncbi.nlm.nih.gov/pubmed/28765549 http://dx.doi.org/10.1038/s41598-017-07478-0 |