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25. Monitoring and tracking the trans-Pacific transport of aerosols using multi-satellite aerosol optical depth composites A. Naeger et al. 10.5194/amt-9-2463-2016
26. Validation of Aerosol Products from AATSR and MERIS/AATSR Synergy Algorithms—Part 1: Global Evaluation Y. Che et al. 10.3390/rs10091414
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28. Validation of MODIS-Aqua Aerosol Products C051 and C006 over the Beijing-Tianjin-Hebei Region K. Wang et al. 10.3390/atmos8090172
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30. Validation of MODIS C6 Dark Target Aerosol Products at 3 km and 10 km Spatial Resolutions Over the China Seas and the Eastern Indian Ocean X. Shen et al. 10.3390/rs10040573
31. Comparison and evaluation of MODIS Multi-angle Implementation of Atmospheric Correction (MAIAC) aerosol product over South Asia A. Mhawish et al. 10.1016/j.rse.2019.01.033
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36. MODIS AOD sampling rate and its effect on PM2.5 estimation in North China Z. Song et al. 10.1016/j.atmosenv.2019.04.020
37. Validation of the Atmospheric Boundary Layer Height Estimated from the MODIS Atmospheric Profile Data at an Equatorial Site S. Onyango et al. 10.3390/atmos11090908
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39. Atmospheric Correction of Multispectral VNIR Remote Sensing Data: Algorithm and Inter‐sensor Comparison of Aerosol and Surface Reflectance Products M. Mishra et al. 10.1029/2019EA000710
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43. Himawari-8/AHI and MODIS Aerosol Optical Depths in China: Evaluation and Comparison T. Jiang et al. 10.3390/rs11091011
44. Evaluation of Machine Learning Models for Estimating PM2.5 Concentrations across Malaysia N. Zaman et al. 10.3390/app11167326
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49. Retrieval of the Fine-Mode Aerosol Optical Depth over East China Using a Grouped Residual Error Sorting (GRES) Method from Multi-Angle and Polarized Satellite Data Y. Zhang et al. 10.3390/rs10111838
50. Retrieval of Daily PM2.5 Concentrations Using Nonlinear Methods: A Case Study of the Beijing–Tianjin–Hebei Region, China L. Li et al. 10.3390/rs10122006
51. Effects of Monsoon, Shamal and Levar winds on dust accumulation over the Arabian Sea during summer – The July 2016 case A. Rashki et al. 10.1016/j.aeolia.2018.11.002
52. Variation of Aerosol Optical Properties over Cluj-Napoca, Romania, Based on 10 Years of AERONET Data and MODIS MAIAC AOD Product H. Ștefănie et al. 10.3390/rs15123072
53. Retrieval of aerosol optical properties using MERIS observations: Algorithm and some first results L. Mei et al. 10.1016/j.rse.2016.11.015
54. Joint retrieval of the aerosol fine mode fraction and optical depth using MODIS spectral reflectance over northern and eastern China: Artificial neural network method X. Chen et al. 10.1016/j.rse.2020.112006
55. Extreme levels of Canadian wildfire smoke in the stratosphere over central Europe on 21–22 August 2017 A. Ansmann et al. 10.5194/acp-18-11831-2018
56. Applying the Dark Target aerosol algorithm with Advanced Himawari Imager observations during the KORUS-AQ field campaign P. Gupta et al. 10.5194/amt-12-6557-2019
57. An Improved High‐Spatial‐Resolution Aerosol Retrieval Algorithm for MODIS Images Over Land J. Wei et al. 10.1029/2017JD027795
58. Estimating PM 2.5 concentrations in a central region of China using a three-stage model Y. Jing et al. 10.1080/17538947.2023.2175499
59. Validation of MODIS and VIIRS derived aerosol optical depth over complex coastal waters M. Bilal et al. 10.1016/j.atmosres.2016.11.009
60. Comparison of AOD from CALIPSO, MODIS, and Sun Photometer under Different Conditions over Central China B. Liu et al. 10.1038/s41598-018-28417-7
61. A seasonal analysis of aerosol-cloud-radiation interaction over Indian region during 2000–2017 S. Kant et al. 10.1016/j.atmosenv.2018.12.044
62. Air pollution scenario over Pakistan: Characterization and ranking of extremely polluted cities using long-term concentrations of aerosols and trace gases M. Bilal et al. 10.1016/j.rse.2021.112617
63. Satellite-based view of the aerosol spatial and temporal variability in the Córdoba region (Argentina) using over ten years of high-resolution data L. Della Ceca et al. 10.1016/j.isprsjprs.2018.08.016
64. Estimating PM1 concentrations from MODIS over Yangtze River Delta of China during 2014–2017 K. Qin et al. 10.1016/j.atmosenv.2018.09.054
65. Improving MODIS Aerosol Estimates Over Land With the Surface BRDF Reflectances Using the 3-D Discrete Cosine Transform and RossThick-LiSparse Models X. Tian et al. 10.1109/TGRS.2020.3048109
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74. Improving Dust Aerosol Optical Depth (DAOD) Retrieval from the GEOKOMPSAT-2A (GK-2A) Satellite for Daytime and Nighttime Monitoring S. Ahn et al. 10.3390/s24051490
75. Satellite-based mapping of daily high-resolution ground PM2.5 in China via space-time regression modeling Q. He & B. Huang 10.1016/j.rse.2017.12.018
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77. An improved algorithm for retrieving the fine-mode fraction of aerosol optical thickness, part 1: Algorithm development X. Yan et al. 10.1016/j.rse.2017.02.005
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80. Evaluation of MODIS columnar aerosol retrievals using AERONET in semi-arid Nevada and California, U.S.A., during the summer of 2012 S. Loría-Salazar et al. 10.1016/j.atmosenv.2016.08.070
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85. Using MODIS derived aerosol optical depth to estimate ground-level PM2.5 concentrations over Turkey Ö. Zeydan & Y. Wang 10.1016/j.apr.2019.05.005
86. Long-term validation and error analysis of DB and MAIAC aerosol products over bright surface of China W. Ji et al. 10.1016/j.atmosres.2023.107106
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