Estimating spatial variability of ground-level PM2.5 based on a satellite-derived aerosol optical depth product: Fuzhou, China

Second‐generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance

R. C. Levy, L. A. Remer, S. Mattoo et al. · Journal of Geophysical Research Atmospheres · 2007 · 1.4K citations

Natural Sciences, Earth Sciences, Atmospheric Science +15

Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors

Aaron van Donkelaar, Randall V. Martin, Michael Bräuer et al. · Environmental Science & Technology · 2016 · 1.2K citations · Full text

Natural Sciences, Earth Sciences, Environmental Sciences +17

The MODIS 2.1-μm channel-correlation with visible reflectance for use in remote sensing of aerosol

Yoram J. Kaufman, Andrew Wald, L. A. Remer et al. · IEEE Transactions on Geoscience and Remote Sensing · 1997 · 861 citations

Natural Sciences, Earth Sciences, Atmospheric Radiation +16

Qualitative and quantitative evaluation of MODIS satellite sensor data for regional and urban scale air quality

Jill Engel‐Cox, Christopher Holloman, Basil W. Coutant et al. · Atmospheric Environment · 2004 · 649 citations

Natural Sciences, Earth Sciences, Environmental Sciences +15

Estimating Ground-Level PM_2.5 in China Using Satellite Remote Sensing

Zongwei Ma, Xuefei Hu, Lei Huang et al. · Environmental Science & Technology · 2014 · 569 citations

Natural Sciences, Earth Sciences, Environmental Sciences +17