79 citations as recorded by crossref.

1. Retrieval of Aerosol Optical Depth Using the Empirical Orthogonal Functions (EOFs) Based on PARASOL Multi-Angle Intensity Data Y. Zhang et al.
2. A minimum albedo aerosol retrieval method for the new-generation geostationary meteorological satellite Himawari-8 X. Yan et al.
3. Difference between global and regional aerosol model classifications and associated implications for spaceborne aerosol optical depth retrieval P. Zhou et al.
4. Three Dimensional Monitoring of the Asian Dust by the COMS/GOCI and CALIPSO Satellites Observation Data K. Lee
5. Performance of MODIS C6 Aerosol Product during Frequent Haze-Fog Events: A Case Study of Beijing W. Chen et al.
6. Analyzing Research Trends and Knowledge Structure in Carbon Emissions Research Using Text Mining K. Lee et al.
7. Spatial Analysis of Major Atmospheric Aerosol Species Using Earth Observing Satellite Data K. Lee
8. Aerosol classification using fuzzy clustering over a tropical rural site A. Krishnaveni et al.
9. A Multi-Angle Method for Simultaneous Retrieval of Aerosol Optical Depth and Bidirectional Reflectance Over Case II Waters Z. Han et al.
10. Aerosol optical depth and fine-mode fraction retrieval over East Asia using multi-angular total and polarized remote sensing T. Cheng et al.
11. An improved air mass factor calculation for nitrogen dioxide measurements from the Global Ozone Monitoring Experiment-2 (GOME-2) S. Liu et al.
12. Seasonal and Regional Characteristics of Aerosol Pollution in East and Southeast Asia M. Nakata et al.
13. Maritime Aerosol Optical and Microphysical Properties in the South China Sea Under Multi-source Influence C. Zhang et al.
14. Accuracy Analysis of Machine Learning Methods for Predicting PM Concentration Y. Kim & K. Lee
15. Improving the accuracy of AOD by using multi-sensors data over the Red Sea and the Persian Gulf M. Pashayi et al.
16. Impact of particle nonsphericity on the development and properties of aerosol models for East Asia H. Chen et al.
17. Analytical approach to estimating aerosol extinction and visibility from satellite observations K. Lee et al.
18. Estimation of surface-level PM2.5concentration based on MODIS aerosol optical depth over Jeju, Korea K. Kim et al.
19. Retrieval of aerosol optical depth and surface reflectance over land from NOAA AVHRR data Y. Li et al.
20. Near-Time Measurement of Aerosol Optical Depth and Black Carbon Concentration at Socheongcho Ocean Research Station: Aerosol Episode Case Analysis S. Ahn et al.
21. Validation of MODIS, MISR, OMI, and CALIPSO aerosol optical thickness using ground-based sunphotometers in Hong Kong M. Wong et al.
22. Estimating the Columnar Concentrations of Black Carbon Aerosols in China Using MODIS Products F. Bao et al.
23. Improved Algorithms for Remote Sensing-Based Aerosol Retrieval during Extreme Biomass Burning Events S. Mukai et al.
24. Global classification of aerosols based on ground observations: A comparison between an empirical method and machine learning algorithms M. Awais & L. Wang
25. Characterization of aerosols in Beijing during severe aerosol loadings H. Chen et al.
26. A new aerosol type identification algorithm for the Geostationary Environment Monitoring Spectrometer (GEMS) instrument F. Wang et al.
27. Assessment of aerosol models to AOD retrieval from HJ1 Satellites Z. Yuhuan et al.
28. Development of atmospheric correction algorithm for Geostationary Ocean Color Imager (GOCI) J. Ahn et al.
29. Simplified and Fast Atmospheric Radiative Transfer model for satellite-based aerosol optical depth retrieval X. Yan et al.
30. First retrieval of data regarding spatial distribution of Asian dust aerosol from the Geostationary Ocean Color Imager K. Lee et al.
31. Estimation of Column Aerosol Contribution in Seoul and Gangneung Using Machine Learning Clustering Technique S. Pyo et al.
32. Estimation of Biomass Burning Influence on Air Pollution around Beijing from an Aerosol Retrieval Model S. Mukai et al.
33. Aerosol Direct Radiative Forcing by Three Dimensional Observations from Passive- and Active- Satellite Sensors K. Lee
34. Analysis of Surface Reflectance Retrieval Over Four Typical Surfaces Via Gaofen-1 Satellite WFV4 Imagery H. Guo et al.
35. Relationship between PM2.5 Mass Concentrations and MODIS Aerosol Optical Thickness at Dukjuk and Jeju Island K. Lee & S. Park
36. Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al.
37. Multisensor Data Synergy of Terra-MODIS, Aqua-MODIS, and Suomi NPP-VIIRS for the Retrieval of Aerosol Optical Depth and Land Surface Reflectance Properties S. Shi et al.
38. Development of an aerosol optical depth retrieval algorithm based on an improved scattering angle scheme for Advanced Himawari Imager observations J. Jin et al.
39. Creating Atmospheric Scattering Corrected True Color Image from the COMS/GOCI Data K. Lee
40. Retrieval of Aerosol Fine-Mode Fraction from Intensity and Polarization Measurements by PARASOL over East Asia Y. Zhang et al.
41. High-Spatial-Resolution Aerosol Optical Properties Retrieval Algorithm Using Chinese High-Resolution Earth Observation Satellite I F. Bao et al.
42. Long-term variation of aerosol optical properties associated with aerosol types over East Asia using AERONET and satellite (VIIRS, OMI) data (2012–2019) S. Eom et al.
43. Comparison of AOD from CALIPSO, MODIS, and Sun Photometer under Different Conditions over Central China B. Liu et al.
44. The primary aerosol models and distribution characteristics over China based on the AERONET data Y. Fan et al.
45. A physical knowledge-based machine learning method for near-real-time dust aerosol properties retrieval from the Himawari-8 satellite data J. Li et al.
46. Classifying Aerosols Based on Fuzzy Clustering and Their Optical and Microphysical Properties Study in Beijing, China W. Zhang et al.
47. Comprehensive T-matrix reference database: A 2009–2011 update N. Zakharova et al.
48. Background Optical Depth Correction over Urban Areas to Improve Land Aerosol Retrieval from Himawari-8 . Risyanto
49. Long-Term Variation of Aerosol Optical Properties Associated with Aerosol Types Over East Asia Using Aeronet and Satellite (Viirs, Omi) Data S. Eom et al.
50. Estimation of Aerosol Extinction Coefficient Using Camera Images and Application in Mass Extinction Efficiency Retrieval J. Shin et al.
51. Monitoring of Floating Green Algae Using Ocean Color Satellite Remote Sensing K. Lee & S. Lee
52. A Retrieval of Vertically-Resolved Asian Dust Concentration from Quartz Channel Measurements of Raman Lidar Y. Noh et al.
53. Improving satellite-retrieved aerosol microphysical properties using GOCART data S. Li et al.
54. Development and Classification of Japanese-Region-Specific Aerosol Models Based on 10-Year Sky Radiometer Observations H. Kobayashi et al.
55. Air pollutants in Osaka (Japan) M. Nakata et al.
56. Optical properties and effects on direct solar irradiance of aerosols: Asian East case A. Ben-tayeb et al.
57. Development, progression, and impact on urban air quality of the dust storm in Asia in March 15–18, 2021 M. Filonchyk & M. Peterson
58. A Dual-Channel Aerosol Optical Depth Retrieval Algorithm Incorporating the BRDF Effect from AVHRR over Eastern Asia Y. Wang et al.
59. Quantitative evaluation of uncertainties in satellite retrieval of dust-like aerosols induced by spherical assumption C. Li et al.
60. Remote Sensing of Aerosol Optical Depth Using an Airborne Polarimeter over North China H. Wang et al.
61. Aerosol type over east Asian retrieval using total and polarized remote Sensing D. Xie et al.
62. Spatiotemporal Distribution of Major Aerosol Types over China Based on MODIS Products between 2008 and 2017 Q. Chen et al.
63. Improved volcanic ash detection based on a hybrid reverse absorption technique K. Lee et al.
64. Utilization of the depolarization ratio derived by AERONET Sun/sky radiometer data for type confirmation of a mixed aerosol plume over East Asia Y. Noh et al.
65. Study on the characteristics of black carbon during atmospheric pollution conditions in Beijing X. Zhang et al.
66. Direct Detection of Severe Biomass Burning Aerosols from Satellite Data M. Nakata et al.
67. Aerosol Optical Depth Retrieval over East Asia Using Himawari-8/AHI Data W. Zhang et al.
68. Estimation of Aerosol Radiative Forcing Using Deep Learning Technique S. Pyo & K. Lee
69. Aerosol-induced changes in sky polarization pattern: potential hint on applications in polarimetric remote sensing W. Chen et al.
70. Satellite (GOSAT-2 CAI-2) retrieval and surface (ARFINET) observations of aerosol black carbon over India M. Gogoi et al.
71. Role of the scattering phase function in the remote sensing of non-spherical dust aerosols K. Lee
72. Synergetic analysis of springtime air pollution episodes over Gwangju, Korea S. Shin et al.
73. Development of GK-2A AMI Aerosol Detection Algorithm in the East-Asia Region Using Himawari-8 AHI Data J. Jee et al.
74. Improved retrieval of aerosol optical depth from POLDER/PARASOL polarization data based on a self-defined aerosol model Y. Li et al.
75. Retrieval of Aerosol Optical Depth Over North China From Polarized Satellite Observations Using Re‐derived Surface Properties H. Wang et al.
76. Analysis of Aerosol Types and Vertical Distribution in Seven Typical Cities in East Asia Q. Tang et al.
77. Long-range transport of biomass burning emissions based on organic molecular markers and carbonaceous thermal distribution M. Bae et al.
78. Aerosol retrieval algorithm for the characterization of local aerosol using MODIS L1B data A. Wahab & M. Sarker
79. Air Pollutants on the Korean Peninsula Caused by Fireworks in China during Chinese Lunar New Year K. Kim