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Correcting Measurement Error in Satellite Aerosol Optical Depth with Machine Learning for Modeling PM(2.5) in the Northeastern USA
Satellite-derived estimates of aerosol optical depth (AOD) are key predictors in particulate air pollution models. The multi-step retrieval algorithms that estimate AOD also produce quality control variables but these have not been systematically used to address the measurement error in AOD. We comp...
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| Publicat a: | Remote Sens (Basel) |
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| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6497138/ https://ncbi.nlm.nih.gov/pubmed/31057954 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/rs10050803 |
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