204 related articles for article (PubMed ID: 30978520)
1. Estimation of health benefits from air quality improvement using the MODIS AOD dataset in Seoul, Korea.
Kim D; Kim J; Jeong J; Choi M
Environ Res; 2019 Jun; 173():452-461. PubMed ID: 30978520
[TBL] [Abstract][Full Text] [Related]
2. 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():350-360. PubMed ID: 27294786
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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; 505():1156-65. PubMed ID: 25466686
[TBL] [Abstract][Full Text] [Related]
5. 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; 532():195-207. PubMed ID: 26071961
[TBL] [Abstract][Full Text] [Related]
6. Spatiotemporal patterns of PM
Chen G; Wang Y; Li S; Cao W; Ren H; Knibbs LD; Abramson MJ; Guo Y
Environ Pollut; 2018 Nov; 242(Pt A):605-613. PubMed ID: 30014938
[TBL] [Abstract][Full Text] [Related]
7. Assessment of long-range transboundary aerosols in Seoul, South Korea from Geostationary Ocean Color Imager (GOCI) and ground-based observations.
Lee S; Kim M; Kim SY; Lee DW; Lee H; Kim J; Le S; Liu Y
Environ Pollut; 2021 Jan; 269():115924. PubMed ID: 33221083
[TBL] [Abstract][Full Text] [Related]
8. Temporal variability of short term effects of PM
Choi Y; Kim H; Lee JT
Sci Total Environ; 2018 Dec; 644():122-128. PubMed ID: 29981511
[TBL] [Abstract][Full Text] [Related]
9. 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; 473-474():609-18. PubMed ID: 24394370
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Multicity study of air pollution and mortality in Latin America (the ESCALA study).
Romieu I; Gouveia N; Cifuentes LA; de Leon AP; Junger W; Vera J; Strappa V; Hurtado-Díaz M; Miranda-Soberanis V; Rojas-Bracho L; Carbajal-Arroyo L; Tzintzun-Cervantes G;
Res Rep Health Eff Inst; 2012 Oct; (171):5-86. PubMed ID: 23311234
[TBL] [Abstract][Full Text] [Related]
12. Spatiotemporal Variability and Influencing Factors of Aerosol Optical Depth over the Pan Yangtze River Delta during the 2014-2017 Period.
Cheng L; Li L; Chen L; Hu S; Yuan L; Liu Y; Cui Y; Zhang T
Int J Environ Res Public Health; 2019 Sep; 16(19):. PubMed ID: 31547200
[TBL] [Abstract][Full Text] [Related]
13. Effects of short-term exposure to air pollution on hospital admissions of young children for acute lower respiratory infections in Ho Chi Minh City, Vietnam.
; Le TG; Ngo L; Mehta S; Do VD; Thach TQ; Vu XD; Nguyen DT; Cohen A
Res Rep Health Eff Inst; 2012 Jun; (169):5-72; discussion 73-83. PubMed ID: 22849236
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. Impact of air pollution on cause-specific mortality in Korea: Results from Bayesian Model Averaging and Principle Component Regression approaches.
Tran H; Kim J; Kim D; Choi M; Choi M
Sci Total Environ; 2018 Sep; 636():1020-1031. PubMed ID: 29729505
[TBL] [Abstract][Full Text] [Related]
17. Comparison of ground based indices (API and AQI) with satellite based aerosol products.
Zheng S; Cao CX; Singh RP
Sci Total Environ; 2014 Aug; 488-489():398-412. PubMed ID: 24412562
[TBL] [Abstract][Full Text] [Related]
18. Spatial distribution and temporal variation of atmospheric pollution in the South Gobi Desert, China, during 2016-2019.
Filonchyk M; Hurynovich V
Environ Sci Pollut Res Int; 2020 Jul; 27(21):26579-26593. PubMed ID: 32372352
[TBL] [Abstract][Full Text] [Related]
19. Assessment of the clear-sky bias issue using continuous PM
Choi Y; Ghim YS
J Environ Sci (China); 2017 Mar; 53():151-160. PubMed ID: 28372739
[TBL] [Abstract][Full Text] [Related]
20. Analysis of spatial and seasonal distributions of MODIS aerosol optical properties and ground-based measurements of mass concentrations in the Yellow Sea region in 2009.
Kim HS; Chung YS; Lee SG
Environ Monit Assess; 2013 Jan; 185(1):369-82. PubMed ID: 22362557
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
