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Journal Abstract Search

663 related items for PubMed ID: 25466686

  • 1. Estimating PM2.5 in Xi'an, China using aerosol optical depth: a comparison between the MODIS and MISR retrieval models.
    You W, Zang Z, Pan X, Zhang L, Chen D.
    Sci Total Environ; 2015 Feb 01; 505():1156-65. PubMed ID: 25466686
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  • 2. Assessment and statistical modeling of the relationship between remotely sensed aerosol optical depth and PM2.5 in the eastern United States.
    Paciorek CJ, Liu Y, HEI Health Review Committee.
    Res Rep Health Eff Inst; 2012 May 01; (167):5-83; discussion 85-91. PubMed ID: 22838153
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  • 5. [Estimation of PM2.5 over eastern China from MODIS aerosol optical depth using the back propagation neural network].
    Guo JP, Wu YR, Zhang XY, Li XW.
    Huan Jing Ke Xue; 2013 Mar 01; 34(3):817-25. PubMed ID: 23745382
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  • 8. Satellite-based high-resolution PM2.5 estimation over the Beijing-Tianjin-Hebei region of China using an improved geographically and temporally weighted regression model.
    He Q, Huang B.
    Environ Pollut; 2018 May 01; 236():1027-1037. PubMed ID: 29455919
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  • 9. Estimation of ground-level PM2.5 concentration using MODIS AOD and corrected regression model over Beijing, China.
    Xu X, Zhang C.
    PLoS One; 2020 May 01; 15(10):e0240430. PubMed ID: 33048987
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  • 10. Comparison of ground based indices (API and AQI) with satellite based aerosol products.
    Zheng S, Cao CX, Singh RP.
    Sci Total Environ; 2014 Aug 01; 488-489():398-412. PubMed ID: 24412562
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  • 11. Assessment of the relationship between satellite AOD and ground PM₁₀ measurement data considering synoptic meteorological patterns and Lidar data.
    Zeeshan M, Kim Oanh NT.
    Sci Total Environ; 2014 Mar 01; 473-474():609-18. PubMed ID: 24394370
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  • 12. High-resolution satellite-based analysis of ground-level PM2.5 for the city of Montreal.
    Wang B, Chen Z.
    Sci Total Environ; 2016 Jan 15; 541():1059-1069. PubMed ID: 26473708
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  • 15. Predicting ground-level PM2.5 concentrations in the Beijing-Tianjin-Hebei region: A hybrid remote sensing and machine learning approach.
    Li X, Zhang X.
    Environ Pollut; 2019 Jun 15; 249():735-749. PubMed ID: 30933771
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  • 18. Estimating PM2.5 concentrations in Yangtze River Delta region of China using random forest model and the Top-of-Atmosphere reflectance.
    Yang L, Xu H, Yu S.
    J Environ Manage; 2020 Oct 15; 272():111061. PubMed ID: 32669259
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  • 19. Spatial scales of pollution from variable resolution satellite imaging.
    Chudnovsky AA, Kostinski A, Lyapustin A, Koutrakis P.
    Environ Pollut; 2013 Jan 15; 172():131-8. PubMed ID: 23026774
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