Analyses of high resolution aerosol data from MODIS satellite: a MAIAC retrieval, southern New England, US

A. Chudnovsky; A. Lyapustin; Y. Wang; J. Schwartz; P. Koutrakis

doi:10.1117/12.2030278

5 August 2013 Analyses of high resolution aerosol data from MODIS satellite: a MAIAC retrieval, southern New England, US

A. Chudnovsky, A. Lyapustin, Y. Wang, J. Schwartz, P. Koutrakis

Author Affiliations +

Proceedings Volume 8795, First International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2013); 87951E (2013) https://doi.org/10.1117/12.2030278
Event: First International Conference on Remote Sensing and Geoinformation of Environment, 2013, Paphos, Cyprus

Abstract

Although ground-level PM_2.5 monitoring sites provide accurate measurements, their spatial coverage within a given region is limited and thus often insufficient for exposure and epidemiological studies. Satellite data expand spatial coverage, enhancing our ability to estimate location- and/or subject-specific exposures to PM_2.5. Recently, a new Multi- Angle Implementation of Atmospheric Correction (MAIAC) algorithm was developed for MODIS which provides AOD at 1 km resolution. Using MAIAC data, the relationship between MAIAC AOD and PM_2.5 as measured by the 27 EPA ground monitoring stations was investigated. These results were also compared to conventional MODIS 10 km AOD retrieval (MOD04) for the same days and locations. The coefficients of determination for MOD04 and for MAIAC are R2=0.45 and 0.50, respectively, suggesting that AOD is a reasonably good proxy for PM_2.5 ground concentrations. Finally, we studied the relationship between PM_2.5 and AOD at the intra-urban scale (≤10km) in Boston. The fine resolution results indicated spatial variability in particle concentration at a sub-10 kilometer scale.

Citation Download Citation

A. Chudnovsky, A. Lyapustin, Y. Wang, J. Schwartz, and P. Koutrakis "Analyses of high resolution aerosol data from MODIS satellite: a MAIAC retrieval, southern New England, US", Proc. SPIE 8795, First International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2013), 87951E (5 August 2013); https://doi.org/10.1117/12.2030278

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