128 related articles for article (PubMed ID: 35716506)
1. Retrieval of total and fine mode aerosol optical depth by an improved MODIS Dark Target algorithm.
Su X; Wang L; Gui X; Yang L; Li L; Zhang M; Qin W; Tao M; Wang S; Wang L
Environ Int; 2022 Aug; 166():107343. PubMed ID: 35716506
[TBL] [Abstract][Full Text] [Related]
2. New global aerosol fine-mode fraction data over land derived from MODIS satellite retrievals.
Yan X; Zang Z; Liang C; Luo N; Ren R; Cribb M; Li Z
Environ Pollut; 2021 May; 276():116707. PubMed ID: 33609902
[TBL] [Abstract][Full Text] [Related]
3. A high-precision aerosol retrieval algorithm for FY-3D MERSI-II images.
Wang Q; Li S; Yang J; Zhou D; Song G
Environ Int; 2023 Mar; 173():107841. PubMed ID: 36842385
[TBL] [Abstract][Full Text] [Related]
4. Extensive characterization of aerosol optical properties and chemical component concentrations: Application of the GRASP/Component approach to long-term AERONET measurements.
Zhang X; Li L; Chen C; Zheng Y; Dubovik O; Derimian Y; Lopatin A; Gui K; Wang Y; Zhao H; Liang Y; Holben B; Che H; Zhang X
Sci Total Environ; 2022 Mar; 812():152553. PubMed ID: 34952070
[TBL] [Abstract][Full Text] [Related]
5. MODIS Retrieval of Aerosol Optical Depth over Turbid Coastal Water.
Wang Y; Wang J; Levy RC; Xu X; Reid JS
Remote Sens (Basel); 2017; 9(6):595. PubMed ID: 29862059
[TBL] [Abstract][Full Text] [Related]
6. Validation, analysis, and comparison of MISR V23 aerosol optical depth products with MODIS and AERONET observations.
Fan R; Ma Y; Jin S; Gong W; Liu B; Wang W; Li H; Zhang Y
Sci Total Environ; 2023 Jan; 856(Pt 1):159117. PubMed ID: 36181813
[TBL] [Abstract][Full Text] [Related]
7. Retrieval uncertainty and consistency of Suomi-NPP VIIRS Deep Blue and Dark Target aerosol products under diverse aerosol loading scenarios over South Asia.
Aditi K; Singh A; Banerjee T
Environ Pollut; 2023 Aug; 331(Pt 2):121913. PubMed ID: 37247770
[TBL] [Abstract][Full Text] [Related]
8. Validation, inter-comparison, and usage recommendation of six latest VIIRS and MODIS aerosol products over the ocean and land on the global and regional scales.
Su X; Cao M; Wang L; Gui X; Zhang M; Huang Y; Zhao Y
Sci Total Environ; 2023 Aug; 884():163794. PubMed ID: 37127154
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Exploring systematic offsets between aerosol products from the two MODIS sensors.
Levy RC; Mattoo S; Sawyer V; Shi Y; Colarco PR; Lyapustin AI; Wang Y; Remer LA
Atmos Meas Tech; 2018 Jul; 11(7):4073-4092. PubMed ID: 32676129
[TBL] [Abstract][Full Text] [Related]
11. Evaluation of aerosol optical depth and aerosol models from VIIRS retrieval algorithms over North China Plain.
Zhu J; Xia X; Wang J; Che H; Chen H; Zhang J; Xu X; Levy R; Oo M; Holz R; Ayoub M
Remote Sens (Basel); 2017; 9(5):. PubMed ID: 29910965
[TBL] [Abstract][Full Text] [Related]
12. Accuracy assessment and climatology of MODIS aerosol optical properties over North Africa.
Merdji AB; Xu X; Lu C; Habtemicheal BA; Li J
Environ Sci Pollut Res Int; 2023 Jan; 30(5):13449-13468. PubMed ID: 36129653
[TBL] [Abstract][Full Text] [Related]
13. Long-term validation of MODIS C6 and C6.1 Dark Target aerosol products over China using CARSNET and AERONET.
Che H; Yang L; Liu C; Xia X; Wang Y; Wang H; Wang H; Lu X; Zhang X
Chemosphere; 2019 Dec; 236():124268. PubMed ID: 31319316
[TBL] [Abstract][Full Text] [Related]
14. Evaluation and Comparison of Multi-Satellite Aerosol Optical Depth Products over East Asia Ocean.
Cao Z; Luan K; Zhou P; Shen W; Wang Z; Zhu W; Qiu Z; Wang J
Toxics; 2023 Sep; 11(10):. PubMed ID: 37888664
[TBL] [Abstract][Full Text] [Related]
15. [Applicability of MODIS C006 Aerosol Products in a Typical Environmental Area of the Beijing-Tianjin-Hebei Region].
Wang HL; Liu Q; Chen YH; Sun R; Li X; Zhang H; Wei G; Hu J; Liu TQ
Huan Jing Ke Xue; 2019 Jan; 40(1):44-54. PubMed ID: 30628258
[TBL] [Abstract][Full Text] [Related]
16. Evaluation of MODIS combined DT and DB AOD retrievals and their association with meteorological variables over Qena, Egypt.
Elshora M
Environ Monit Assess; 2023 Mar; 195(4):483. PubMed ID: 36932294
[TBL] [Abstract][Full Text] [Related]
17. [The retrieval of fine and coarse aerosol from MODIS].
Wang ZT; Li Q; Chen LF; Wang ZF; Li SS; Jiang Z
Guang Pu Xue Yu Guang Pu Fen Xi; 2011 Oct; 31(10):2809-13. PubMed ID: 22250561
[TBL] [Abstract][Full Text] [Related]
18. Retrieval of aerosol optical properties using MERIS observations: Algorithm and some first results.
Mei L; Rozanov V; Vountas M; Burrows JP; Levy RC; Lotz W
Remote Sens Environ; 2017 Aug; 197():125-140. PubMed ID: 29760534
[TBL] [Abstract][Full Text] [Related]
19. Discerning the pre-monsoon urban atmosphere aerosol characteristic and its potential source type remotely sensed by AERONET over the Bengal Gangetic plain.
Priyadharshini B; Verma S; Giles DM; Holben BN
Environ Sci Pollut Res Int; 2018 Aug; 25(22):22163-22179. PubMed ID: 29804246
[TBL] [Abstract][Full Text] [Related]
20. Exploring aerosols near clouds with high-spatial-resolution aircraft remote sensing during SEAC
Spencer RS; Levy RC; Remer LA; Mattoo S; Arnold GT; Hlavka DL; Meyer KG; Marshak A; Wilcox EM; Platnick SE
J Geophys Res Atmos; 2019 Feb; 124(4):2148-2173. PubMed ID: 32676260
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
