42 citations as recorded by crossref.

1. Global validation of the Particulate Observing Scanning Polarimeter (POSP) Aerosol Optical Depth products over land Z. Ji et al.
2. Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 1: ATSR (1995–2011) and MODIS C6.1 (2000–2017) L. Sogacheva et al.
3. High‐Resolution Post‐Process Corrected Satellite AOD H. Taskinen et al.
4. 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.
5. Merging regional and global aerosol optical depth records from major available satellite products L. Sogacheva et al.
6. Aerosol Optical Depth Retrieval Over Land from Particulate Observing Scanning Polarimeter (POSP) Using a New Look-Up Table (LUT) Method Z. Ji et al.
7. A Practical Introduction to Utilising Uncertainty Information in the Analysis of Essential Climate Variables A. Povey et al.
8. A global perspective on CO2 satellite observations in high AOD conditions T. Virtanen et al.
9. Monitoring multiple satellite aerosol optical depth (AOD) products within the Copernicus Atmosphere Monitoring Service (CAMS) data assimilation system S. Garrigues et al.
10. A Critical Evaluation of Deep Blue Algorithm Derived AVHRR Aerosol Product Over China L. Mei et al.
11. A novel method of identifying and analysing oil smoke plumes based on MODIS and CALIPSO satellite data A. Mereuţă et al.
12. Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al.
13. AEROCOM and AEROSAT AAOD and SSA study – Part 1: Evaluation and intercomparison of satellite measurements N. Schutgens et al.
14. Assessment of smoke plume height products derived from multisource satellite observations using lidar-derived height metrics for wildfires in the western US J. Huang et al.
15. The Challenges and Limitations of Validating Satellite-Derived Datasets Using Independent Measurements: Lessons Learned from Essential Climate Variables M. Langsdale et al.
16. An Algorithm for Aerosol Optical Properties Retrieval Over the Ocean Accelerated by a Neural Network From Single-View Multispectral Measurements of Intensity and Polarization Z. Ji et al.
17. Aerosol Evolution and Influencing Factor Analysis during Haze Periods in the Guanzhong Area of China Based on Multi-Source Data Y. Zhong et al.
18. Assessment of the Representativeness of MODIS Aerosol Optical Depth Products at Different Temporal Scales Using Global AERONET Measurements Y. Tong et al.
19. A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing A. Sayer et al.
20. An Enhanced Aerosol Optical Depth Retrieval Algorithm for Particulate Observing Scanning Polarimeter (POSP) Data Over Land Z. Ji et al.
21. Seasonality biases arise from the interplay of retrieval quality and solar zenith angle effects in passive sensor AOD products S. Smith et al.
22. Spatio-Temporal Variability of Aerosol Optical Depth, Total Ozone and NO2 Over East Asia: Strategy for the Validation to the GEMS Scientific Products S. Park et al.
23. Automated Low-Cost LED-Based Sun Photometer for City Scale Distributed Measurements C. Garrido et al.
24. Retrieval of aerosol optical depth from INSAT-3DR for accurate geostationary monitoring of regional and temporal aerosol dynamics C. Tandule et al.
25. Validation of SOAR VIIRS Over‐Water Aerosol Retrievals and Context Within the Global Satellite Aerosol Data Record A. Sayer et al.
26. How Long Is Too Long? Variogram Analysis of AERONET Data to Aid Aerosol Validation and Intercomparison Studies A. Sayer
27. Aerosol optical depth in East Asia from VIIRS, MODIS, and MISR: Evaluation, variability, and meteorological associations J. Gong et al.
28. Effective uncertainty quantification for multi-angle polarimetric aerosol remote sensing over ocean M. Gao et al.
29. Aerosol optical depth trends and variability over the Middle East from MODIS, MISR, OMI, and AERONET observations N. Rezaei-Nokandeh et al.
30. Deep-learning-based post-process correction of the aerosol parameters in the high-resolution Sentinel-3 Level-2 Synergy product A. Lipponen et al.
31. Integrating satellite-based atmospheric soundings and machine learning to correct radiosonde temperature biases F. Mashao et al.
32. Validation, Stability, and Consistency of MODIS Collection 6.1 and VIIRS Version 1 Deep Blue Aerosol Data Over Land A. Sayer et al.
33. An AeroCom–AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation N. Schutgens et al.
34. Validation and inter-comparison of MODIS and VIIRS aerosol optical depth products against data from multiple observation networks over East China Y. Su et al.
35. Comparison and evaluation of multiple satellite aerosol products over China in different scenarios under a unified criterion: Preparation for consistent and high-quality dataset construction H. Zhu et al.
36. Investigating multiple aerosol optical depth products from MODIS and VIIRS over Asia: Evaluation, comparison, and merging Y. Wang et al.
37. Investigating the Influence of Galactic Cosmic Ray-Modulated Aerosol Optical Depth on Near-Surface Air Temperature Variability over the Past Two Decades F. Sarakhs et al.
38. Understanding MODIS dark-target collection 5 and 6 aerosol data over China: Effect of surface type, aerosol loading and aerosol absorption L. Mei et al.
39. Combining CALIPSO and AERONET Data to Classify Aerosols Globally Y. Lin et al.
40. The impact and estimation of uncertainty correlation for multi-angle polarimetric remote sensing of aerosols and ocean color M. Gao et al.
41. Site representativity of AERONET and GAW remotely sensed aerosol optical thickness and absorbing aerosol optical thickness observations N. Schutgens
42. Window-Based Filtering Aerosol Retrieval Algorithm of Fine-Scale Remote Sensing Images: A Case Using Sentinel-2 Data in Beijing Region J. Zhou et al.