265 related articles for article (PubMed ID: 23019816)
1. Prediction of daily fine particulate matter concentrations using aerosol optical depth retrievals from the Geostationary Operational Environmental Satellite (GOES).
Chudnovsky AA; Lee HJ; Kostinski A; Kotlov T; Koutrakis P
J Air Waste Manag Assoc; 2012 Sep; 62(9):1022-31. PubMed ID: 23019816
[TBL] [Abstract][Full Text] [Related]
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;
Res Rep Health Eff Inst; 2012 May; (167):5-83; discussion 85-91. PubMed ID: 22838153
[TBL] [Abstract][Full Text] [Related]
3. An improved method for estimating surface fine particle concentrations using seasonally adjusted satellite aerosol optical depth.
Weber SA; Engel-Cox JA; Hoff RM; Prados AI; Zhang H
J Air Waste Manag Assoc; 2010 May; 60(5):574-85. PubMed ID: 20480857
[TBL] [Abstract][Full Text] [Related]
4. Comparison of GOES and MODIS aerosol optical depth (AOD) to aerosol robotic network (AERONET) AOD and IMPROVE PM2.5 mass at Bondville, Illinois.
Green M; Kondragunta S; Ciren P; Xu C
J Air Waste Manag Assoc; 2009 Sep; 59(9):1082-91. PubMed ID: 19785275
[TBL] [Abstract][Full Text] [Related]
5. Spatiotemporal associations between GOES aerosol optical depth retrievals and ground-level PM2.5.
Paciorek CJ; Liu Y; Moreno-Macias H; Kondragunta S
Environ Sci Technol; 2008 Aug; 42(15):5800-6. PubMed ID: 18754512
[TBL] [Abstract][Full Text] [Related]
6. Improving retrievals of regional fine particulate matter concentrations from moderate resolution imaging spectroradiometer (MODIS) and ozone monitoring instrument (OMI) multisatellite observations.
Strawa AW; Chatfield RB; Legg M; Scarnato B; Esswein R
J Air Waste Manag Assoc; 2013 Dec; 63(12):1434-46. PubMed ID: 24558706
[TBL] [Abstract][Full Text] [Related]
7. 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. PubMed ID: 27731783
[TBL] [Abstract][Full Text] [Related]
8. Estimating regional spatial and temporal variability of PM(2.5) concentrations using satellite data, meteorology, and land use information.
Liu Y; Paciorek CJ; Koutrakis P
Environ Health Perspect; 2009 Jun; 117(6):886-92. PubMed ID: 19590678
[TBL] [Abstract][Full Text] [Related]
9. The relation between Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth and PM2.5 over the United States: a geographical comparison by U.S. Environmental Protection Agency regions.
Zhang H; Hoff RM; Engel-Cox JA
J Air Waste Manag Assoc; 2009 Nov; 59(11):1358-69. PubMed ID: 19947117
[TBL] [Abstract][Full Text] [Related]
10. Enhancing the Applicability of Satellite Remote Sensing for PM2.5 Estimation Using MODIS Deep Blue AOD and Land Use Regression in California, United States.
Lee HJ; Chatfield RB; Strawa AW
Environ Sci Technol; 2016 Jun; 50(12):6546-55. PubMed ID: 27218887
[TBL] [Abstract][Full Text] [Related]
11. Calibrating MODIS aerosol optical depth for predicting daily PM2.5 concentrations via statistical downscaling.
Chang HH; Hu X; Liu Y
J Expo Sci Environ Epidemiol; 2014 Jul; 24(4):398-404. PubMed ID: 24368510
[TBL] [Abstract][Full Text] [Related]
12. Incorporating long-term satellite-based aerosol optical depth, localized land use data, and meteorological variables to estimate ground-level PM
Jung CR; Hwang BF; Chen WT
Environ Pollut; 2018 Jun; 237():1000-1010. PubMed ID: 29157969
[TBL] [Abstract][Full Text] [Related]
13. Spatiotemporal continuous estimates of PM
Xue T; Zheng Y; Tong D; Zheng B; Li X; Zhu T; Zhang Q
Environ Int; 2019 Feb; 123():345-357. PubMed ID: 30562706
[TBL] [Abstract][Full Text] [Related]
14. Spatial scales of pollution from variable resolution satellite imaging.
Chudnovsky AA; Kostinski A; Lyapustin A; Koutrakis P
Environ Pollut; 2013 Jan; 172():131-8. PubMed ID: 23026774
[TBL] [Abstract][Full Text] [Related]
15. Using High-Resolution Satellite Aerosol Optical Depth To Estimate Daily PM2.5 Geographical Distribution in Mexico City.
Just AC; Wright RO; Schwartz J; Coull BA; Baccarelli AA; Tellez-Rojo MM; Moody E; Wang Y; Lyapustin A; Kloog I
Environ Sci Technol; 2015 Jul; 49(14):8576-84. PubMed ID: 26061488
[TBL] [Abstract][Full Text] [Related]
16. 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. PubMed ID: 26780051
[TBL] [Abstract][Full Text] [Related]
17. 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. PubMed ID: 20519161
[TBL] [Abstract][Full Text] [Related]
18. Impact of diurnal variability and meteorological factors on the PM
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. PubMed ID: 27889085
[TBL] [Abstract][Full Text] [Related]
19. Satellite-based high-resolution PM
He Q; Huang B
Environ Pollut; 2018 May; 236():1027-1037. PubMed ID: 29455919
[TBL] [Abstract][Full Text] [Related]
20. 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. PubMed ID: 26091206
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]