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What can affect AOD-PM(2.5) association?
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Limitations of remotely sensed aerosol as a spatial proxy for fine particulate matter.
Environ Health Perspect. 2009 Jun;117(6):904-9. doi: 10.1289/ehp.0800360. Epub 2009 Feb 21.
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Spatiotemporal associations between GOES aerosol optical depth retrievals and ground-level PM2.5.
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Spatial scales of pollution from variable resolution satellite imaging.
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Assessment of the relationship between satellite AOD and ground PM₁₀ measurement data considering synoptic meteorological patterns and Lidar data.
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PM Exposure and Health Risk Assessment Using Remote Sensing Data and GIS.
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Deep Ensemble Machine Learning Framework for the Estimation of Concentrations.
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PM mapping using integrated geographically temporally weighted regression (GTWR) and random sample consensus (RANSAC) models.
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Eigenvector Spatial Filtering Regression Modeling of Ground PM Concentrations Using Remotely Sensed Data.
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Satellite-based PM concentrations and their application to COPD in Cleveland, OH.
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Uncertainty in the Relationship between Criteria Pollutants and Low Birth Weight in Chicago.
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1
An empirical relationship between PM(2.5) and aerosol optical depth in Delhi Metropolitan.
Atmos Environ (1994). 2007 Jul 1;41(21):4492-4503. doi: 10.1016/j.atmosenv.2007.01.046.
2
Remote sensing of ambient particles in Delhi and its environs: estimation and validation.
Int J Remote Sens. 2008 Jun;29(12):3383-3405. doi: 10.1080/01431160701474545.
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Limitations of remotely sensed aerosol as a spatial proxy for fine particulate matter.
Environ Health Perspect. 2009 Jun;117(6):904-9. doi: 10.1289/ehp.0800360. Epub 2009 Feb 21.

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