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Items: 1 to 20 of 189

1.

[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;34(3):817-25. Chinese.

PMID:
23745382
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;(167):5-83; discussion 85-91.

PMID:
22838153
3.

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 1;505:1156-65. doi: 10.1016/j.scitotenv.2014.11.024. Epub 2014 Nov 20.

PMID:
25466686
4.

Impacts of elevated-aerosol-layer and aerosol type on the correlation of AOD and particulate matter with ground-based and satellite measurements in Nanjing, southeast China.

Han Y, Wu Y, Wang T, Zhuang B, Li S, Zhao K.

Sci Total Environ. 2015 Nov 1;532:195-207. doi: 10.1016/j.scitotenv.2015.05.136. Epub 2015 Jun 10.

PMID:
26071961
5.

Estimating national-scale ground-level PM25 concentration in China using geographically weighted regression based on MODIS and MISR AOD.

You W, Zang Z, Zhang L, Li Y, Wang W.

Environ Sci Pollut Res Int. 2016 May;23(9):8327-38. doi: 10.1007/s11356-015-6027-9. Epub 2016 Jan 16.

PMID:
26780051
6.

Comparison of Four Ground-Level PM2.5 Estimation Models Using PARASOL Aerosol Optical Depth Data from China.

Guo H, Cheng T, Gu X, Chen H, Wang Y, Zheng F, Xiang K.

Int J Environ Res Public Health. 2016 Jan 30;13(2):180. doi: 10.3390/ijerph13020180.

7.

Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth: development and application.

van Donkelaar A, Martin RV, Brauer M, Kahn R, Levy R, Verduzco C, Villeneuve PJ.

Environ Health Perspect. 2010 Jun;118(6):847-55. doi: 10.1289/ehp.0901623.

8.
9.

Impact of diurnal variability and meteorological factors on the PM2.5 - AOD relationship: Implications for PM2.5 remote sensing.

Guo J, Xia F, Zhang Y, Liu H, Li J, Lou M, He J, Yan Y, Wang F, Min M, Zhai P.

Environ Pollut. 2017 Feb;221:94-104. doi: 10.1016/j.envpol.2016.11.043. Epub 2016 Nov 23.

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 1;488-489:398-412. doi: 10.1016/j.scitotenv.2013.12.074. Epub 2014 Jan 10.

PMID:
24412562
11.

Estimating ground-level PM2.5 in China using satellite remote sensing.

Ma Z, Hu X, Huang L, Bi J, Liu Y.

Environ Sci Technol. 2014 Jul 1;48(13):7436-44. doi: 10.1021/es5009399. Epub 2014 Jun 13.

PMID:
24901806
12.

Spatial scales of pollution from variable resolution satellite imaging.

Chudnovsky AA, Kostinski A, Lyapustin A, Koutrakis P.

Environ Pollut. 2013 Jan;172:131-8. doi: 10.1016/j.envpol.2012.08.016. Epub 2012 Sep 29.

PMID:
23026774
13.

Using optimal interpolation to assimilate surface measurements and satellite AOD for ozone and PM2.5: A case study for July 2011.

Tang Y, Chai T, Pan L, Lee P, Tong D, Kim HC, Chen W.

J Air Waste Manag Assoc. 2015 Oct;65(10):1206-16. doi: 10.1080/10962247.2015.1062439.

PMID:
26091206
14.

Particulate matter pollution in the coal-producing regions of the Appalachian Mountains: Integrated ground-based measurements and satellite analysis.

Aneja VP, Pillai PR, Isherwood A, Morgan P, Aneja SP.

J Air Waste Manag Assoc. 2017 Apr;67(4):421-430. doi: 10.1080/10962247.2016.1245686. Epub 2016 Oct 12.

PMID:
27731783
15.

Estimation of surface-level PM concentration from satellite observation taking into account the aerosol vertical profiles and hygroscopicity.

Kim K, Lee KH, Kim JI, Noh Y, Shin DH, Shin SK, Lee D, Kim J, Kim YJ, Song CH.

Chemosphere. 2016 Jan;143:32-40. doi: 10.1016/j.chemosphere.2015.09.040. Epub 2015 Sep 28.

PMID:
26421659
16.

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. doi: 10.1016/j.scitotenv.2015.10.024. Epub 2015 Nov 11.

PMID:
26473708
17.

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 1;473-474:609-18. doi: 10.1016/j.scitotenv.2013.12.058. Epub 2014 Jan 4.

PMID:
24394370
18.

Real-Time Estimation of Satellite-Derived PM2.5 Based on a Semi-Physical Geographically Weighted Regression Model.

Zhang T, Liu G, Zhu Z, Gong W, Ji Y, Huang Y.

Int J Environ Res Public Health. 2016 Sep 30;13(10). pii: E974.

19.

The empirical correlations between PM2.5, PM10 and AOD in the Beijing metropolitan region and the PM2.5, PM10 distributions retrieved by MODIS.

Kong L, Xin J, Zhang W, Wang Y.

Environ Pollut. 2016 Sep;216:350-60. doi: 10.1016/j.envpol.2016.05.085. Epub 2016 Jun 10.

PMID:
27294786
20.

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