98 citations as recorded by crossref.

1. Retrieval and Uncertainty Analysis of Land Surface Reflectance Using a Geostationary Ocean Color Imager K. Lee et al. 10.3390/rs14020360
2. Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. 10.1080/10643389.2019.1665944
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
9. Global evaluation of Fengyun-3 MERSI dark target aerosol retrievals over land L. Yang et al. 10.1080/17538947.2024.2344580
10. Extended validation and evaluation of the OLCI–SLSTR SYNERGY aerosol product (SY_2_AOD) on Sentinel-3 L. Sogacheva et al. 10.5194/amt-15-5289-2022
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
17. Long-term validation of MODIS C6 and C6.1 Dark Target aerosol products over China using CARSNET and AERONET H. Che et al. 10.1016/j.chemosphere.2019.06.238
18. Intercomparison of Multiple Satellite Aerosol Products against AERONET over the North China Plain X. Fan et al. 10.3390/atmos10090480
19. Monthly Global Estimates of Fine Particulate Matter and Their Uncertainty A. van Donkelaar et al. 10.1021/acs.est.1c05309
20. Spatiotemporal fusion of multiple‐satellite aerosol optical depth (AOD) products using Bayesian maximum entropy method Q. Tang et al. 10.1002/2015JD024571
21. Evaluation and comparison of CMIP6 models and MERRA-2 reanalysis AOD against Satellite observations from 2000 to 2014 over China M. Ali et al. 10.1016/j.gsf.2021.101325
22. Evaluation of MODIS aerosol retrieval algorithms over the Beijing‐Tianjin‐Hebei region during low to very high pollution events M. Bilal & J. Nichol 10.1002/2015JD023082
23. Evaluation of VIIRS Land Aerosol Model Selection with AERONET Measurements W. Wang et al. 10.3390/ijerph14091016
24. Intercomparison of satellite dust retrieval products over the west African Sahara during the Fennec campaign in June 2011 J. Banks et al. 10.1016/j.rse.2013.05.003
25. 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
26. 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
27. Aerosol remote sensing in polar regions C. Tomasi et al. 10.1016/j.earscirev.2014.11.001
28. Climatic modulation of early summer dust emissions over West Africa M. Jury 10.1016/j.jaridenv.2018.01.019
29. 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
30. Validation and Accuracy Analysis of the Collection 6.1 MODIS Aerosol Optical Depth Over the Westernmost City in China Based on the Sun‐Sky Radiometer Observations From SONET G. Huang et al. 10.1029/2019EA001041
31. Merging regional and global aerosol optical depth records from major available satellite products L. Sogacheva et al. 10.5194/acp-20-2031-2020
32. Long-term spatiotemporal variations of aerosol optical depth over Yellow and Bohai Sea X. Shen et al. 10.1007/s11356-019-04203-4
33. 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
34. 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
35. 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
36. Results from the Fourth WMO Filter Radiometer Comparison for aerosol optical depth measurements S. Kazadzis et al. 10.5194/acp-18-3185-2018
37. 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
38. 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
39. 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
40. 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
41. 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
42. 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
43. 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
44. Air pollution slows down surface warming over the Tibetan Plateau A. Jia et al. 10.5194/acp-20-881-2020
45. 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
46. 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
47. 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
48. 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
49. Atmospheric Aerosol Over Ukraine Region: Current Status of Knowledge and Research Efforts G. Milinevsky & V. Danylevsky 10.3389/fenvs.2018.00059
50. 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
51. 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
52. Himawari-8/AHI Aerosol Optical Depth Detection Based on Machine Learning Algorithm Y. Chen et al. 10.3390/rs14132967
53. Validation of Aqua-MODIS C051 and C006 Operational Aerosol Products Using AERONET Measurements Over Pakistan M. Bilal et al. 10.1109/JSTARS.2015.2481460
54. Global Estimates and Long-Term Trends of Fine Particulate Matter Concentrations (1998–2018) M. Hammer et al. 10.1021/acs.est.0c01764
55. Spatiotemporal changes in aerosols over Bangladesh using 18 years of MODIS and reanalysis data M. Ali et al. 10.1016/j.jenvman.2022.115097
56. 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
57. 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
58. Characteristic and Driving Factors of Aerosol Optical Depth over Mainland China during 1980–2017 W. Qin et al. 10.3390/rs10071064
59. Retrieval of aerosol optical depth over land surfaces from AVHRR data L. Mei et al. 10.5194/amt-7-2411-2014
60. 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
61. 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
62. Validation and Accuracy Assessment of MODIS C6.1 Aerosol Products over the Heavy Aerosol Loading Area X. Tian & Z. Gao 10.3390/atmos10090548
63. An AeroCom–AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation N. Schutgens et al. 10.5194/acp-20-12431-2020
64. 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
65. Evaluation and Comparison of Multi-Satellite Aerosol Optical Depth Products over East Asia Ocean Z. Cao et al. 10.3390/toxics11100813
66. 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
67. 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
68. 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
69. 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
70. Characteristics of the Spatio-Temporal Dynamics of Aerosols in Central Asia and Their Influencing Factors Y. Zhou et al. 10.3390/rs14112684
71. Observational constraint on cloud susceptibility weakened by aerosol retrieval limitations P. Ma et al. 10.1038/s41467-018-05028-4
72. AOD trends during 2001–2010 from observations and model simulations A. Pozzer et al. 10.5194/acp-15-5521-2015
73. Increasing Arabian dust activity and the Indian summer monsoon F. Solmon et al. 10.5194/acp-15-8051-2015
74. Identification of Aerosol Pollution Hotspots in Jiangsu Province of China Y. Wang et al. 10.3390/rs13142842
75. 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
76. 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
77. 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
78. Evaluation of MODIS and two reanalysis aerosol optical depth products over AERONET sites H. Shi et al. 10.1016/j.atmosres.2019.01.009
79. 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
80. 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
81. 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
82. 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
83. 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
84. 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
85. 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
86. 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
87. 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
88. Influence of the dry aerosol particle size distribution and morphology on the cloud condensation nuclei activation. An experimental and theoretical investigation J. Wu et al. 10.5194/acp-20-4209-2020
89. Retrieval of Aerosol Optical Depth in the Arid or Semiarid Region of Northern Xinjiang, China X. Tian et al. 10.3390/rs10020197
90. Evaluation of NASA Deep Blue/SOAR aerosol retrieval algorithms applied to AVHRR measurements A. Sayer et al. 10.1002/2017JD026934
91. Validation of VIIRS AOD through a Comparison with a Sun Photometer and MODIS AODs over Wuhan W. Wang et al. 10.3390/rs9050403
92. Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors A. van Donkelaar et al. 10.1021/acs.est.5b05833
93. MISR Dark Water aerosol retrievals: operational algorithm sensitivity to particle non-sphericity O. Kalashnikova et al. 10.5194/amt-6-2131-2013
94. 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
95. Quantifying some of the impacts of dust and other aerosol on the Caspian Sea region using a regional climate model N. Elguindi et al. 10.1007/s00382-015-2566-5
96. Spatial and temporal variability in desert dust and anthropogenic pollution in Iraq, 1997–2010 A. Chudnovsky et al. 10.1080/10962247.2016.1153528
97. The Lagged Effect of Anthropogenic Aerosol on East Asian Precipitation during the Summer Monsoon Season S. Lee et al. 10.3390/atmos11121356
98. An improved dark target method for aerosol optical depth retrieval over China from Himawari-8 L. Gao et al. 10.1016/j.atmosres.2020.105399