100 citations as recorded by crossref.

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3. A Simplified high resolution MODIS Aerosol Retrieval Algorithm (SARA) for use over mixed surfaces M. Bilal et al. 10.1016/j.rse.2013.04.014
4. Possible causes for the asymmetric evolution between the aerosol optical depth over East Asia and eastern United States during boreal spring Q. Jin et al. 10.1002/joc.5936
5. Characterization of columnar aerosol over a background site in Central Asia D. Rupakheti et al. 10.1016/j.envpol.2022.120501
6. Assessment of the Representativeness of MODIS Aerosol Optical Depth Products at Different Temporal Scales Using Global AERONET Measurements Y. Tong et al. 10.3390/rs12142330
7. Evaluation of aerosol microphysical, optical and radiative properties measured with a multiwavelength photometer Y. Zheng et al. 10.5194/amt-15-2139-2022
8. Reducing multisensor satellite monthly mean aerosol optical depth uncertainty: 1. Objective assessment of current AERONET locations J. Li et al. 10.1002/2016JD025469
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11. Can a coupled meteorology–chemistry model reproduce the historical trend in aerosol direct radiative effects over the Northern Hemisphere? J. Xing et al. 10.5194/acp-15-9997-2015
12. Validation, Stability, and Consistency of MODIS Collection 6.1 and VIIRS Version 1 Deep Blue Aerosol Data Over Land A. Sayer et al. 10.1029/2018JD029598
13. A low-cost monitor for simultaneous measurement of fine particulate matter and aerosol optical depth – Part 3: Automation and design improvements E. Wendt et al. 10.5194/amt-14-6023-2021
14. Validation of Aerosol Products from AATSR and MERIS/AATSR Synergy Algorithms—Part 1: Global Evaluation Y. Che et al. 10.3390/rs10091414
15. Evaluation of Terra-MODIS C6 and C6.1 Aerosol Products against Beijing, XiangHe, and Xinglong AERONET Sites in China during 2004-2014 M. Bilal et al. 10.3390/rs11050486
16. Aerosol Optical Depth Retrieval over Bright Areas Using Landsat 8 OLI Images L. Sun et al. 10.3390/rs8010023
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18. Intercomparison of Multiple Satellite Aerosol Products against AERONET over the North China Plain X. Fan et al. 10.3390/atmos10090480
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27. Temporal evolution of aerosols and their extreme events in polluted Asian regions during Terra's 20-year observations Z. Hu et al. 10.1016/j.rse.2021.112541
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30. Regional Estimates of Chemical Composition of Fine Particulate Matter Using a Combined Geoscience-Statistical Method with Information from Satellites, Models, and Monitors A. van Donkelaar et al. 10.1021/acs.est.8b06392
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32. Merging regional and global aerosol optical depth records from major available satellite products L. Sogacheva et al. 10.5194/acp-20-2031-2020
33. Long-term spatiotemporal variations of aerosol optical depth over Yellow and Bohai Sea X. Shen et al. 10.1007/s11356-019-04203-4
34. Impact of environmental pollution on the retrieval of hourly aerosol products from Advanced Himawari Imager (AHI) over Beijing Q. Xu et al. 10.1016/j.apr.2020.03.007
35. Comparison and Evaluation of Different MODIS Aerosol Optical Depth Products Over the Beijing-Tianjin-Hebei Region in China J. Wei & L. Sun 10.1109/JSTARS.2016.2595624
36. Aerosol seasonal variations over urban–industrial regions in Ukraine according to AERONET and POLDER measurements G. Milinevsky et al. 10.5194/amt-7-1459-2014
37. Results from the Fourth WMO Filter Radiometer Comparison for aerosol optical depth measurements S. Kazadzis et al. 10.5194/acp-18-3185-2018
38. Preliminary Assessment and Verification of the Langley Plots Calibration of the Sun Photometer at Mt Foyeding Observatory, Beijing Y. Zheng et al. 10.3390/rs14174321
39. Improving the Estimation of Daily Aerosol Optical Depth and Aerosol Radiative Effect Using an Optimized Artificial Neural Network W. Qin et al. 10.3390/rs10071022
40. 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
41. Evaluation of LaSRC aerosol optical depth from Landsat-8 and Sentinel-2 in Guangdong-Hong Kong-Macao greater bay area, China Y. Jin et al. 10.1016/j.atmosenv.2022.119128
42. Understanding interannual variations of biomass burning from Peninsular Southeast Asia, part I: Model evaluation and analysis of systematic bias X. Dong & J. Fu 10.1016/j.atmosenv.2015.06.026
43. Effect of MODIS Terra radiometric calibration improvements on Collection 6 Deep Blue aerosol products: Validation and Terra/Aqua consistency A. Sayer et al. 10.1002/2015JD023878
44. The Aerosol Index and Land Cover Class Based Atmospheric Correction Aerosol Optical Depth Time Series 1982–2014 for the SMAC Algorithm E. Jääskeläinen et al. 10.3390/rs9111095
45. Air pollution slows down surface warming over the Tibetan Plateau A. Jia et al. 10.5194/acp-20-881-2020
46. A New MODIS C6 Dark Target and Deep Blue Merged Aerosol Product on a 3 km Spatial Grid M. Bilal et al. 10.3390/rs10030463
47. A national crowdsourced network of low-cost fine particulate matter and aerosol optical depth monitors: results from the 2021 wildfire season in the United States E. Wendt et al. 10.1039/D3EA00086A
48. A consistent aerosol optical depth (AOD) dataset over mainland China by integration of several AOD products H. Xu et al. 10.1016/j.atmosenv.2015.05.023
49. Global and regional trends of aerosol optical depth over land and ocean using SeaWiFS measurements from 1997 to 2010 N. Hsu et al. 10.5194/acp-12-8037-2012
50. Atmospheric Aerosol Over Ukraine Region: Current Status of Knowledge and Research Efforts G. Milinevsky & V. Danylevsky 10.3389/fenvs.2018.00059
51. Aerosol optical depth comparison between GAW-PFR and AERONET-Cimel radiometers from long-term (2005–2015) 1 min synchronous measurements E. Cuevas et al. 10.5194/amt-12-4309-2019
52. Comparative assessment of the spectral impact on the energy yield of high concentrator and conventional photovoltaic technology E. Fernández et al. 10.1016/j.solmat.2015.12.003
53. Himawari-8/AHI Aerosol Optical Depth Detection Based on Machine Learning Algorithm Y. Chen et al. 10.3390/rs14132967
54. Validation of Aqua-MODIS C051 and C006 Operational Aerosol Products Using AERONET Measurements Over Pakistan M. Bilal et al. 10.1109/JSTARS.2015.2481460
55. Global Estimates and Long-Term Trends of Fine Particulate Matter Concentrations (1998–2018) M. Hammer et al. 10.1021/acs.est.0c01764
56. Spatiotemporal changes in aerosols over Bangladesh using 18 years of MODIS and reanalysis data M. Ali et al. 10.1016/j.jenvman.2022.115097
57. Observation of an agricultural biomass burning in central and east China using merged aerosol optical depth data from multiple satellite missions Y. Xue et al. 10.1080/2150704X.2014.943321
58. A comparison study between AOD data from MODIS deep blue collections 51 and 06 and from AERONET over Saudi Arabia M. Almazroui 10.1016/j.atmosres.2019.03.040
59. Characteristic and Driving Factors of Aerosol Optical Depth over Mainland China during 1980–2017 W. Qin et al. 10.3390/rs10071064
60. Improving AOD Algorithm Evaluation: A Spatial Matching Method for Minimizing Quality Control Bias B. Du et al. 10.3390/rs17071235
61. Retrieval of aerosol optical depth over land surfaces from AVHRR data L. Mei et al. 10.5194/amt-7-2411-2014
62. North American Fine Particulate Matter Chemical Composition for 2000–2022 from Satellites, Models, and Monitors: The Changing Contribution of Wildfires A. van Donkelaar et al. 10.1021/acsestair.4c00151
63. Application of spectral analysis techniques in the intercomparison of aerosol data: 1. An EOF approach to analyze the spatial‐temporal variability of aerosol optical depth using multiple remote sensing data sets J. Li et al. 10.1002/jgrd.50686
64. Validation and Accuracy Assessment of MODIS C6.1 Aerosol Products over the Heavy Aerosol Loading Area X. Tian & Z. Gao 10.3390/atmos10090548
65. An AeroCom–AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation N. Schutgens et al. 10.5194/acp-20-12431-2020
66. Aerosol Optical Depth Retrieval From Landsat 8 OLI Images Over Urban Areas Supported by MODIS BRDF/Albedo Data X. Tian et al. 10.1109/LGRS.2018.2827200
67. Evaluation and Comparison of Multi-Satellite Aerosol Optical Depth Products over East Asia Ocean Z. Cao et al. 10.3390/toxics11100813
68. Application of spectral analysis techniques to the intercomparison of aerosol data – Part 4: Synthesized analysis of multisensor satellite and ground-based AOD measurements using combined maximum covariance analysis J. Li et al. 10.5194/amt-7-2531-2014
69. Evaluation and modification of SARA high-resolution AOD retrieval algorithm during high dust loading conditions over bright desert surfaces N. Karimi et al. 10.1016/j.apr.2019.01.008
70. Accuracy, stability, and continuity of AVHRR, SeaWiFS, MODIS, and VIIRS deep blue long-term land aerosol retrieval in Asia X. Su et al. 10.1016/j.scitotenv.2022.155048
71. From BASE-ASIA toward 7-SEAS: A satellite-surface perspective of boreal spring biomass-burning aerosols and clouds in Southeast Asia S. Tsay et al. 10.1016/j.atmosenv.2012.12.013
72. Characteristics of the Spatio-Temporal Dynamics of Aerosols in Central Asia and Their Influencing Factors Y. Zhou et al. 10.3390/rs14112684
73. Observational constraint on cloud susceptibility weakened by aerosol retrieval limitations P. Ma et al. 10.1038/s41467-018-05028-4
74. AOD trends during 2001–2010 from observations and model simulations A. Pozzer et al. 10.5194/acp-15-5521-2015
75. Increasing Arabian dust activity and the Indian summer monsoon F. Solmon et al. 10.5194/acp-15-8051-2015
76. Identification of Aerosol Pollution Hotspots in Jiangsu Province of China Y. Wang et al. 10.3390/rs13142842
77. Validation and accuracy assessment of a Simplified Aerosol Retrieval Algorithm (SARA) over Beijing under low and high aerosol loadings and dust storms M. Bilal et al. 10.1016/j.rse.2014.07.015
78. Aerosol optical properties derived from the DRAGON-NE Asia campaign, and implications for a single-channel algorithm to retrieve aerosol optical depth in spring from Meteorological Imager (MI) on-board the Communication, Ocean, and Meteorological Satellite (COMS) M. Kim et al. 10.5194/acp-16-1789-2016
79. Spectral and Spatial Dependencies in the Validation of Satellite-Based Aerosol Optical Depth from the Geostationary Ocean Color Imager Using the Aerosol Robotic Network M. Kim et al. 10.3390/rs15143621
80. Evaluation of MODIS and two reanalysis aerosol optical depth products over AERONET sites H. Shi et al. 10.1016/j.atmosres.2019.01.009
81. Three-dimensional evolution of Saharan dust transport towards Europe based on a 9-year EARLINET-optimized CALIPSO dataset E. Marinou et al. 10.5194/acp-17-5893-2017
82. Assessment of the impact of discontinuity in satellite instruments and retrievals on global PM2.5 estimates M. Hammer et al. 10.1016/j.rse.2023.113624
83. A critical view of long-term AVHRR aerosol data record in China: Retrieval frequency and heavy pollution M. Tao et al. 10.1016/j.atmosenv.2019.117246
84. AERONET‐Based Nonspherical Dust Optical Models and Effects on the VIIRS Deep Blue/SOAR Over Water Aerosol Product J. Lee et al. 10.1002/2017JD027258
85. A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing A. Sayer et al. 10.5194/amt-13-373-2020
86. Satellite Ocean Aerosol Retrieval (SOAR) Algorithm Extension to S‐NPP VIIRS as Part of the “Deep Blue” Aerosol Project A. Sayer et al. 10.1002/2017JD027412
87. Seasonal and spatial variations of global aerosol optical depth: multi-year modelling with GEOS-Chem-APM and comparisons with multiple-platform observations X. Ma & F. Yu 10.3402/tellusb.v67.25115
88. Retrieval of Fine-Resolution Aerosol Optical Depth (AOD) in Semiarid Urban Areas Using Landsat Data: A Case Study in Urumqi, NW China X. Chen et al. 10.3390/rs12030467
89. How well do satellite AOD observations represent the spatial and temporal variability of PM 2.5 concentration for the United States? J. Li et al. 10.1016/j.atmosenv.2014.12.010
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91. Retrieval of Aerosol Optical Depth in the Arid or Semiarid Region of Northern Xinjiang, China X. Tian et al. 10.3390/rs10020197
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96. Oreos Versus Orangutans: The Need for Sustainability Transformations and Nonhierarchical Polycentric Governance in the Global Palm Oil Industry G. Snashall & H. Poulos 10.3390/f12020252
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