Estimation of atmospheric particulate matter based on MODIS haze optimized transformation

References

• Barnaba , F. , Putaud , J. P. , Gruening , C. , Dell'acqua , A. and Dos Santos , S. 2010 . Annual Cycle in Co-Located in situ, Total-Column, and Height-Resolved Aerosol Observations in the Po Valley (Italy): Implications for Ground-Level Particulate Matter Mass Concentration Estimation from Remote Sensing . Journal of Geophysical Research , 115 : D19209 doi: 10.1029/2009JD013002
   Web of Science ®Google Scholar
• Chu , D. A. , Kaufman , Y. J. , Zibordi , G. , Chern , J. D. , Mao , J. , Li , C. C. and Holben , B. N. 2003 . Global Monitoring of Air Pollution Over Land from the Earth Observing System-Terra Moderate Resolution Imaging Spectroradiometer (MODIS) . Journal of Geophysical Research , 108 : 4661 doi: 10.1029/2002JD003179
   Web of Science ®Google Scholar
• Cyrys , J. , Hochadel , M. , Gehring , U. , Hoek , G. , Diegmann , V. , Brunekreef , B. and Heinrich , J. 2005 . GIS-Based Estimation of Exposure to Particulate Matter and NO2 in an Urban Area: Stochastic Versus Dispersion Modeling . Environmental Health Perspectives , 113 : 987 – 92 .
   PubMed Web of Science ®Google Scholar
• Di Nicolantonio , W. , Cacciari , A. and Tomasi , C. 2009 . Particulate Matter at Surface: Northern Italy Monitoring Based on Satellite Remote Sensing, Meteorological Fields, and in-situ Samplings . IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , 2 : 284 – 92 .
   Web of Science ®Google Scholar
• Engel-Cox , J. A. , Holloman , C. H. , Coutant , B. W. and Hoff , R. M. 2004 . Qualitative and Quantitative Evaluation of MODIS Satellite Sensor Data for Regional and Urban Scale Air Quality . Atmospheric Environment , 38 : 2495 – 509 .
   Web of Science ®Google Scholar
• Gupta , P. , Christopher , S. A. , Box , M. A. and Box , G. P. 2007 . Multi Year Satellite Remote Sensing of Particulate Matter Air Quality over Sydney, Australia . International Journal of Remote Sensing , 28 : 4483 – 98 .
   Web of Science ®Google Scholar
• Gupta , P. , Christopher , S. A. , Wang , J. , Gehrig , R. , Lee , Y. and Kumar , N. 2006 . Satellite Remote Sensing of Particulate Matter and Air Quality Assessment over Global Cities . Atmospheric Environment , 40 : 5880 – 92 .
   Web of Science ®Google Scholar
• He , X. Y. , Hu , J. B. , Chen , W. and Li , X. Y. 2010 . Haze Removal Based on Advanced Haze-Optimized Transformation (AHOT) for Multispectral Imagery . International Journal of Remote Sensing , 31 : 5331 – 48 .
   Web of Science ®Google Scholar
• Huang , L.-M. , Wang , G.-H. , Wang , H. , Gao , S.-X. and Wang , L.-S. 2002 . Pollution Level of the Airborne Particulate Matter (PM10, PM2.5) in Nanjing City . China Environmental Science , 22 : 334 – 7 .
   Google Scholar
• Hutchison , K. D. , Smith , S. and Faruqui , S. J. 2005 . Correlating MODIS Aerosol Optical Thickness Data with Ground-Based PM2.5 Observations across Texas for Use in a Real-Time Air Quality Prediction System . Atmospheric Environment , 39 : 7190 – 203 .
   Web of Science ®Google Scholar
• Li , C. C. , Mao , J. T. , Lau , A. K. H. , Yuan , Z. B. , Wang , M. H. and Liu , X. Y. 2005 . Application of MODIS Satellite Products to the Air Pollution Research in Beijing . Science in China D , 48 ( Suppl. II ) : 209 – 19 .
   Google Scholar
• Tian , J. and Chen , D. M. 2010a . A Semi-Empirical Model for Predicting Hourly Ground-Level Fine Particulate Matter (PM(2.5)) Concentration in Southern Ontario from Satellite Remote Sensing and Ground-Based Meteorological Measurements . Remote Sensing of Environment , 114 : 221 – 9 .
   Web of Science ®Google Scholar
• Tian , J. and Chen , D. M. 2010b . Spectral, Spatial, and Temporal Sensitivity of Correlating MODIS Aerosol Optical Depth with Ground-Based Fine Particulate Matter (PM(2.5)) across Southern Ontario . Canadian Journal of Remote Sensing , 36 : 119 – 28 .
   Web of Science ®Google Scholar
• Vidot , J. , Santer , R. and Ramon , D. 2007 . Atmospheric Particulate Matter (PM) Estimation from SeaWiFS Imagery . Remote Sensing of Environment , 111 : 1 – 10 .
   Web of Science ®Google Scholar
• Wang , H. , Wang , G. , Gao , S. and Wang , L. 2003 . Characteristics of Atmospheric Particulate Pollution in Spring in Nanjing City . China Environmental Science , 23 : 55 – 9 .
   Google Scholar
• Wang , J. and Christopher , S. A. 2003 . Intercomparison between Satellite-Derived Aerosol Optical Thickness and PM2.5 Mass: Implications for Air Quality Studies . Geophysical Research Letters , 30 : 2095 doi: 10.1029/2003GL018174
   Web of Science ®Google Scholar
• Wang , Z. F. , Chen , L. F. , Tao , J. H. , Zhang , Y. and Su , L. 2010 . Satellite-Based Estimation of Regional Particulate Matter (PM) in Beijing Using Vertical-and-RH Correcting Method . Remote Sensing of Environment , 114 : 50 – 63 .
   Web of Science ®Google Scholar
• Zha , Y. , Gao , J. , Jiang , J. J. , Lu , H. and Huang , J. Z. 2010 . Monitoring of Urban Air Pollution from MODIS Aerosol Data: Effect of Meteorological Parameters . Tellus B , 62 : 109 – 16 .
   Google Scholar
• Zhang , Y. and Guindon , B. 2003 . Quantitative Assessment of a Haze Suppression Methodology for Satellite Imagery: Effect on Land Cover Classification Performance . IEEE Transactions on Geoscience and Remote Sensing , 41 : 1082 – 9 .
   Web of Science ®Google Scholar
• Zhang , Y. , Guindon , B. and Cihlar , J. 2002 . An Image Transform to Characterize and Compensate for Spatial Variations in Thin Cloud Contamination of Landsat Images . Remote Sensing of Environment , 82 : 173 – 87 .
   Web of Science ®Google Scholar