Assessment of PM2.5 concentrations over bright surfaces using MODIS satellite observations

Remote Sensing of Environment

Volumn 163, Issue , 2015, Pages 180-185

  Sorek Hamer, Meytar ^a   Kloog, Itai ^b   Koutrakis, Petros ^c   Strawa, Anthony W ^d   Chatfield, Robert ^d   Cohen, Ayala ^e   Ridgway, William L ^f   Broday, David M ^a  

^a Faculty of Civil and Environmental Engineering   (Israel)

^b BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

^c HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^d NASA AMES RESEARCH CENTER   (United States)

^e TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

^f SCIENCE SYSTEMS AND APPLICATIONS INC   (United States)

Author keywords

Aerosol optical depth (AOD); Dark target; Deep blue; Mixed effects models; MODIS; PM2.5

Indexed keywords

AEROSOLS; ALGORITHMS; ATMOSPHERIC AEROSOLS; FORECASTING; GEOGRAPHICAL REGIONS; OPTICAL PROPERTIES; RADIOMETERS; REFLECTION; REMOTE SENSING; SIGNAL TO NOISE RATIO; SUPERCOMPUTERS;

AEROSOL OPTICAL DEPTHS; DEEP BLUE; LOW SIGNAL-TO-NOISE RATIO; MIXED EFFECTS MODELS; MODIS; ROOT-MEAN-SQUARE PREDICTIONS; SATELLITE OBSERVATIONS; SATELLITE REMOTE SENSING;

SATELLITE IMAGERY;

EID: 84937764165     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.03.014     Document Type: Article

References (38)

1. Bates D., Maechler M. lme4: Linear mixed-effects models using S4 classes. R package version 0.999375-35 2010, (http://CRAN.Rproject.org/package=lme4).
2. 2.5 concentrations via statistical downscaling. Journal of Exposure Science & Environmental Epidemiology 2013, 24:398-404.
3. Chudnovsky A.A., Lee H.J., Kostinski A., Kotlov T., Koutrakis P. Prediction of daily fine particulate matter concentrations using aerosol optical depth retrievals from the Geostationary Operational Environmental Satellite (GOES). Journal of the Air & Waste Management Association 2012, 62(9):1022-1031.
4. 2.5 in the atmosphere 2012.
5. Dominici F., Peng R.D., Bell M.L. Fine particulate air pollution and hospital admission for cardiovascular and respiratory diseases. JAMA 2006, 295(10):1127-1134.
6. Engel-Cox J.A., Holloman C.H., Coutant B.W., Hoff R.M. Qualitative and quantitative evaluation of MODIS satellite sensor data for regional and urban scale air quality. Atmospheric Environment 2004, 38:2495-2509.
7. 2.5 and all-cause and specific cause mortality in 27 US communities. Journal of Exposure Science & Environmental Epidemiology 2007, 17:279-287.
8. Gupta P., Christopher S. Seven year particulate matter air quality assessment from surface and satellite measurements. Atmospheric Chemistry and Physics Discussions 2008, 8:327-365.
9. Gupta P., Christopher S.A., Wang J., Gehrig R., Lee Y., Kumar N. Satellite remote sensing of particulate matter and air quality assessment over global cities. Atmospheric Environment 2006, 40:5880-5892.
10. Hoff R.M., Christopher S.A. Remote sensing of particulate pollution from space: Have we reached the promised land?. Journal of the Air & Waste Management Association 2009, 59:645-675.
11. Hsu N.C., Jeong M.-J., Bettenhausen C., Sayer A.M., Hansell R., Seftor C.S., et al. Enhanced Deep Blue aerosol retrieval algorithm: The second generation. Journal of Geophysical Research, [Atmospheres] 2013, 118:9296-9315.
12. Hsu N.C., Tsay S., King M.D., Herman J.R. Deep Blue retrievals of Asian aerosol properties during ACE-Asia. IEEE Transactions on Geoscience and Remote Sensing 2006, 44:3180-3195.
13. 2.5 concentrations in the southeastern U.S. using geographically weighted regression. Environmental Research 2013, 121:1-10.
14. 2.5 concentrations in the Southeastern United States using MAIAC AOD retrievals and a two-stage model. Remote Sensing of Environment 2014, 140:220-232.
15. Huete A., Didan K., van Leeuwen W., Miura T., Glenn E. MODIS vegetation indices. Land Remote Sensing and Global Environmental Change 2011, 1:579. (7_26).
16. 2.5 exposures for epidemiological studies using satellite aerosol optical depth measurements. Atmospheric Environment 2011, 45(35):6267-6275.
17. 2.5 exposures in the mid-Atlantic states. Environmental Science and Technology 2012, 46(21):11913-11921.
18. 2.5 and mortality. Epidemiology 2013, 24:555-561.
19. Koelemeijer R.B.A., Homan C.D., Matthijsen J. Comparison of spatial and temporal variations of aerosol optical thickness and particulate matter over Europe. Atmospheric Environment 2006, 40(27):5304-5315.
20. 2.5 concentrations. Atmospheric Chemistry and Physics 2011, 11:7991-8002.
21. Levy R.C., Mattoo S., Munchak L.A., Remer L.A., Sayer A.M., Hsu N.C. The Collection 6 MODIS aerosol products over land and ocean. Atmospheric Measurement Techniques 2013, 6:2989-3034.
22. Levy R.C., Remer L.A., Dubovik O. Global aerosol optical properties and application to moderate resolution imaging spectroradiometer aerosol retrieval over land. Journal of Geophysical Research - Atmospheres 2007, 112:D13210.
23. Levy R.C., Remer L.A., Tanré D., Mattoo S., Kaufman Y.J. Algorithm for remote sensing of tropospheric aerosol over dark targets from MODIS: Collections 005 and 051, revision 2 http://modis-atmos.gsfc.nasa.gov/_docs/%20ATBD_MOD04_C005_rev2.pdf.
24. 2.5 concentrations in the St. Louis area: A comparison between MISR and MODIS. Remote Sensing of Environment 2007, 107:33-44.
25. 2.5 concentrations using satellite data, meteorology, and land use information. Environmental Health Perspectives 2009, 117(6):886-892.
26. 2.5 in the eastern United States using satellite remote sensing. Environmental Science and Technology 2005, 39:3269-3278.
27. Martin R.V. Satellite remote sensing of surface air quality. Atmospheric Environment 2008, 42:7823-7843.
28. Sayer A.M., Hsu N.C., Bettenhausen C., Jeong M.-J. Validation and uncertainty estimates for MODIS Collection 6 Deep Blue aerosol data. Journal of Geophysical Research - Atmospheres 2013, 118:7864-7872.
29. Sayer A.M., Munchak L.A., Hsu N.C., Levy R.C., Bettenhausen C., Jeong M.J. MODIS Collection 6 aerosol products: Comparison between Aqua's Deep Blue, Dark Target, and merged datasets, and usage recommendations. Journal of Geophysical Research - Atmospheres 2014, 119. 10.1002/2014JD022453.
30. Schwartz J., Dockery D.W., Neas L.M. Is daily mortality associated specifically with fine particles?. Journal of the Air & Waste Management Association 1996, 46(10):927-939.
31. Sorek-Hamer M., Cohen A., Levy R.C., Ziv B., Broday D.M. Classification of dust days by satellite remotely sensed aerosol products. International Journal of Remote Sensing 2013, 34(8):2672-2688.
32. 2.5 from satellite data products using non-linear methods. Environmental Pollution 2013, 182:417-423.
33. Strawa A.W., Chatfield R.B., Legg M., Scarnato B., Esswein R. Improving retrievals of regional fine particulate matter concentrations from moderate resolution imaging spectroradiometer (MODIS) and ozone monitoring instrument (OMI) multisatellite observations. Journal of the Air & Waste Management Association 2013, 63(12):1434-1446.
34. van Donkelaar A., Martin R.V., Brauer M., Kahn R., Levy R.C., Verduzco C., et al. Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth: Development and application. Environmental Health Perspectives 2010, 118:847-855.
35. 2.5 mass: Implications for air quality studies. Geophysical Research Letters 2003, 2095:30(21). 10.1029/2003GL018174.
36. Yuval, Broday D.M. High-resolution spatial patterns of long-term mean concentrations of air pollutants in Haifa Bay area. Atmospheric Environment 2006, 40:3653-3664.
37. Zanobetti A., Franklin M., Koutrakis P., Schwartz J. Fine particulate air pollution and its components in association with cause-specific emergency admissions. Environmental Health 2009, 8(1, article 58).
38. 2.5 over the United States: A geographical comparison by U.S. Environmental Protection Agency regions. Journal of the Air & Waste Management Association 2009, 59:1358-1369.