Satellite remote sensing of particulate matter air quality is one of the research focal point at various Universities and federal research institutes and Laboratories around the world. Our group first started using MODIS aerosol optical depth data for estimation of PM2.5 mass concentration in year 2003 and since then published more than a dozen peer reviewed research articles in this field. This online tool is an effort towards providing complete research materials to the community.


Publications By PORSCHE

Hoff, R., S.A. Christopher (2009), Remote Sensing of Particulate Matter Air Pollution from Space :Have we reached the promised land, J. Air&Waste Manage. Assoc., 59:642-675. (abstract) (full text).


Christopher, S.A., P. Gupta, U. Nair, T.A. Jones, S. Kondragunta, Y. Wu, J. Hand, X. Zhang (2009), Satellite Remote Sensing and Mesoscale Modeling of the 2007 Florida/Georgia Fires, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing JSTARS-2009-00020. (abstract) (full text).


Gupta, P., and S. A. Christopher (2009), Assessment of Surface Level Particulate Matter Air Quality using Integrated Surface, Satellite and Meteorological products: Multiple Regression Approach, J. Geophys. Res., 114, D14205, doi:10.1029/2008JD011496. (abstract) (full text).


Gupta, P., and S. A. Christopher (2009), Assessment of Surface Level Particulate Matter Air Quality using Integrated Surface, Satellite and Meteorological products: Artificial Neural Network Approach, J. Geophys. Res –in press. (abstract) (full text).


Radhi, M., M. A. Box, G. P. Box, P. Gupta, S. A. Christopher (2009), Evolution of the Optical Properties of BIomass Burning Aerosol During the 2003 South-eastern Australian Bushfires, Applied Optics, 48 (9), pp. 1764-1773, doi:10.1364/AO.48.001764.

(abstract) (full text).


Gupta, P., and S.A. Christopher, (2008), Seven Year Particulate Matter Air Quality Assessment from Surface and Satellite Measurements, Atmospheric Chemistry and Physics, 8 (12), 2008, pp.3311-3324. (abstract) (full text).


Gupta, P., and S.A. Christopher, (2008), An evaluation of Terra-MODIS sampling for monthly and annual particulate matter air quality assessment over the Southeastern United States, Atmospheric Environment, 42 (26), pp. 6465-6471, doi:10.1016/j.atmosenv.2008.04.044. (abstract) (full text).


Gupta P., S. A. Christopher, M.A. Box, and G.P. Box, (2007), Multi year satellite remote sensing of particulate matter air quality over Sydney, Australia, International J. Remote Sensing, doi:10.1080/01431160701241738. (abstract) (full text).


Gupta, P., S.A. Christopher, J. Wang, R. Gehrig, Y.C. Lee, N. Kumar, (2006), Satellite Remote Sensing of Particulate Matter and Air Quality over Global Cities, Atmospheric Environment, 40, 5880-5892. (abstract) (full text)


Wang, J., and S. A. Christopher, Intercomparison between satellite-derived aerosol optical thickness and PM2.5 mass: Implications for air quality studies, Geophys. Res. Lett., 30(21), 2095, doi:10.1029/2003GL018174, 2003. (abstract) (full text)


Wang, J., S. A. Christopher, U. S. Nair, J. S. Reid, E. M. Prins, J. Szykman, and J. L. Hand (2006), Mesoscale modeling of Central American smoke transport to the United States: 1. “Top-down” assessment of emission strength and diurnal variation impacts, J. Geophys. Res., 111, D05S17, doi:10.1029/2005JD006416. (abstract) (full text)


Wang, J., and S. A. Christopher (2006), Mesoscale modeling of Central American smoke transport to the United States: 2. Smoke radiative impact on regional surface energy budget and boundary layer evolution, J. Geophys. Res., 111, D14S92, doi:10.1029/2005JD006720. (abstract) (full text)



Complete List Of Publications

Al-Saadi, J., J. Szykman, R. B. Pierce, C. Kittaka, D. Neil, D. A. Chu, L. Remer, L. Gumley, E. Prins, L. Weinstock, C. Macdonald, R. Wayland, F. Dimmick, J. Fishman, Improving national air quality forecasts with satellite aerosol observations, Bull. Am. Meteorol. Soc., 86(9), 1249–1264, 2005.


Chu, D. A., Y. J. Kaufman, G. Zibordi, J. D. Chern, J. Mao, C. Li, and B. N. Holben, Global monitoring of air pollution over land from the Earth Observing System-Terra Moderate Resolution Imaging Spectroradiometer (MODIS), J. Geophys. Res., 108(D21), 4661, doi:10.1029/2002JD003179, 2003.


Engel-Cox, J. A., C. H. Holloman, B. W. Coutant, and R. M. Hoff, Qualitative and quantitative evaluation of MODIS satellite sensor data for regional and urban scale air quality, Atmos. Environ., 38, 2495–2509, 2004.


Engel-Cox, J. A., G. Young, and R. Hoff, Application of satellite remote sensing data for source analysis of fine particulate matter transport events, Journal of Air and Waste Management, 55, 9, pp. 1389-1397, 2005.


Engel-Cox, J. A., R. M. Hoff, R. Rogers, F. Dimmick, A. C. Rush, J. J. Szykman, J. Al-Saadi, D. A. Chu, and E. R. Zell, Integrating lidar and satellite optical depth with ambient monitoring for 3-dimensional particulate characterization, Atmos. Environ., 40, 8056-806, 2006.


Gupta, P., S. A. Christopher, J. Wang, R. Gehrig, Y. C. Lee, and N. Kumar, Satellite remote sensing of particulate matter and air quality over global cities, Atmos. Environ., 40 (30), 5880-5892, 2006.


Gupta, P., S. A. Christopher, M. A. Box, and G. P. Box, Multi year satellite remote sensing of particulate matter air quality over Sydney, Australia. International J. Remote Sensing, doi:10.1080/01431160701241738, 2007.


Gupta, P., and S. A. Christopher, Seven year particulate matter air quality assessment from surface and satellite measurements, Atmos. Chem. Phys., 8, 3311-3324, 2008a.


Gupta, P., and S. A. Christopher, An evaluation of Terra-MODIS sampling for monthly and annual particulate matter air quality assessment over the southeastern United States, Atmos. Environ., 42, 6465-6471, 2008b.


Gupta, P., and S. A. Christopher, Assessment of particulate matter air quality using satellite, ground and meteorology: Part 1, multiple regression approach, submitted to J. Geophys. Res., 2008c.


Gupta, P., and S. A. Christopher, Assessment of particulate matter air quality using satellite, ground and meteorology: Part 2, neural network approach, submitted to J. Geophys. Res., 2008d.


Hutchison, K. D., Application of MODIS satellite data and products for monitoring air quality in the state of Texas, Atmos. Environ., 37, 2403–2412, 2003.


Hutchison, K. D., S. Smith and S. Faruqui, The use of MODIS data and aerosol products for air quality prediction, Atmospheric Environment 38, 5057–5070, 2004.


Hutchison, K. D., Smith, S., Faruqui, S., Correlating MODIS aerosol optical thickness data with ground-based PM2.5 observations across Texas for use in a real-time air quality prediction system, Atmos. Environ., 39(37), 7190-7203, 2005.


Hutchison, K. D., J. S. Faruqui, and S. Smith, Improved retrievals of cloud boundaries from MODIS for use in air quality modeling, Atmospheric Environment40, 30, 5798-5806, 2006.


Hutchison, K. D., J. S., Faruqui, and S. Smith, Improving correlations between MODIS aerosol optical thickness and ground-based PM2.5 observations through 3D spatial analyses, Atmospheric Environment42, 3, 530-543, 2008.


Kacenelenbogen, M., J.-F. L?eon, I. Chiapello, and D. Tanr?e, Characterization of aerosol pollution events in France using ground-based and POLDER-2 satellite data, Atmos. Chem. Phys., 6, 4843–4849, 2006.


Kondragunta, S., P. Lee,  J. McQueen,  C. Kittaka,  A. I. Prados,  P. Ciren,  I. Laszlo,  R. B. Pierce,  R. Hoff, and J. J. Szykman, Air quality forecast verification using satellite data, Journal of Applied Meteorology and Climatology, 47, 2, 425–442, DOI: 10.1175/2007JAMC1392.1, 2008.


Kumar, N., A. Chu, and A. Foster, An empirical relationship between PM2.5 and aerosol optical depth in Delhi metropolitan, Atmospheric Environment, 41, 4492-4503, 2007.


Kumar, N., A. Chu, and A. Foster, Remote sensing of ambient particles in Delhi and its environs : estimation and validation, International Journal of Remote Sensing, 29 :12, 3383-3405, 2008.


Liu, Y., R. J. Park, D. J. Jacob, Q. Li, V. Kilaru, and J. A. Sarnat, Mapping annual mean ground-level PM2.5 concentrations using Multiangle Imaging Spectroradiometer aerosol optical thickness over the contiguous United States, J. Geophys. Res., 109, D22206, doi:10.1029/2004JD005025, 2004.


Liu, Y., J. A. Sarnat, V. Kilaru, D. J. Jacob, and P. Koutrakis, Estimating ground level pm2.5 in the eastern united states using satellite remote sensing, Environmental Science & Technology, 39(9), 3269-3278, 2005.


Liu, Y., M. Franklin, and P. Koutrakis. Using Aerosol Optical Thickness to Predict Ground-Level PM2.5 Concentrations in the St. Louis Area: a Comparison Between MISR and MODIS, Remote Sensing of Environment, 107(1-2), 33-44, 2007a.


Liu, Y., R. Kahn, and P. Koutrakis, Estimating pm2.5 component concentrations and size distributions using satellite retrieved fractional aerosol optical depth: part i - method development, Journal of Air & Waste Management Association. 57(11), 1351-1359. 2007b.


Liu, Y., R. Kahn, S. Turquety, R. M. Yantosca, and P. Koutrakis. Estimating pm2.5 component concentrations and size distributions using satellite retrieved fractional aerosol optical depth: part ii - a case study, Journal of Air & Waste Management Association, 57(11), 1360-1369, 2007c.


Mathur, R. Estimating the impact of the 2004 Alaskan forest fires on episodic particulate matter pollution over the eastern United States through assimilation of satellite-derived aerosol optical depths in a regional air quality model, J. Geophys. Res., 113, D17302, doi:10.1029/2007JD009767, 2008.


Mathur, R., S. Yu, D. Kang, and K. L. Schere, Assessment of the wintertime performance of developmental particulate matter forecasts with the Eta-Community Multiscale Air Quality modeling system, J. Geophys. Res., 113, D02303, doi:10.1029/2007JD008580, 2008.


Paciorek, C. J., Y. Liu, H. M. Macias, and S. Kondragunta, Spatiotemporal associations between GOES aerosol optical depth retrievals and ground-level PM2.5, Environ. Sci. Technol., 42 (15), 5800–5806, 2008. 10.1021/es703181j, 2008.


Pelletier, B., R. Santer, and J. Vidot, Retrieving of particulate matter from optical measurements: A semiparametric approach, J. Geophys. Res., 112, D06208, doi:10.1029/2005JD006737, 2007.


Sifakis, N., N. A. Soulakellis, and D. K. Paronis, Quantitative mapping of air pollution density using earth observations: a new processing method and application to an urban area, International Journal of Remote Sensing, 19, 17, 3289-3300, 1998.


van Donkelaar, A., R. Martin V.,  Park R. J., Estimating ground-level PM2.5 using aerosol optical depth determined from satellite remote sensing. J. Geophys. Res., 111, D21201, doi:10.1029/2005JD006996, 2006.


Wang, J., and S. A. Christopher, Intercomparison between satellite-derived aerosol optical thickness and PM2.5 mass: Implications for air quality studies, Geophys. Res. Lett., 30(21), 2095, doi:10.1029/2003GL018174, 2003.