Estimating spatio-temporal resolved PM₁₀ aerosol mass concentrations using MODIS satellite data and land use regression over Lombardy, Italy

Keyphrases

• Italy 100%
• Spatiotemporal 100%
• Land Use Regression 100%
• Aerosol Optical Depth 100%
• Lombardy 100%
• Aerosol Mass Concentration 100%
• PM10 Aerosol 100%
• MODIS Data 100%
• PM10 41%
• Depth Data 25%
• Depth Measurement 16%
• Depth Value 16%
• Interannual Variation 16%
• Mixed-effects Model 8%
• Particulate Matter 2.5 (PM2.5) 8%
• Random Intercept 8%
• Large Cities 8%
• Prediction Model 8%
• Exposure Estimates 8%
• Epidemiology Study 8%
• Predictive Power 8%
• Northern Italy 8%
• Missing Data 8%
• 10-fold Cross Validation 8%
• Model Performance 8%
• Inverse Probability Weighting 8%
• Fine Particles 8%
• PM2.5 Monitoring 8%
• Meteorological Parameters 8%
• Missingness 8%
• New England 8%
• Land Use Parameters 8%
• Large Particle 8%
• Geographic Patterns 8%
• Altitude Difference 8%
• Historical Exposure 8%
• High Altitude 8%
• Space-time Interaction 8%
• Modeling Interactions 8%
• Non-random Sampling 8%
• Temperature Inversion 8%
• Depth Based 8%
• Stationary Front 8%
• Air Pollution Epidemiology 8%
• Weather Patterns 8%

Earth and Planetary Sciences

• Altitude 33%